Loading GPU data...
Loading GPU data...
Quick Answer: Apple M3 Max offers 128GB VRAM and starts around $75.80. It delivers approximately 0 tokens/sec on meta-llama/Llama-Guard-3-1B. It typically draws 40W under load.
This GPU offers reliable throughput for local AI workloads. Pair it with the right model quantization to hit your desired tokens/sec, and monitor prices below to catch the best deal.
| Model | Quantization | Tokens/sec | VRAM used |
|---|---|---|---|
| meta-llama/Llama-Guard-3-1B | Q4 | 0.43 tok/sEstimated Auto-generated benchmark | 1GB |
| unsloth/gemma-3-1b-it | Q4 | 0.42 tok/sEstimated Auto-generated benchmark | 1GB |
| meta-llama/Llama-3.2-1B | Q4 | 0.41 tok/sEstimated Auto-generated benchmark | 1GB |
| unsloth/Llama-3.2-1B-Instruct | Q4 | 0.40 tok/sEstimated Auto-generated benchmark | 1GB |
| meta-llama/Llama-3.2-1B-Instruct | Q4 | 0.39 tok/sEstimated Auto-generated benchmark | 1GB |
| allenai/OLMo-2-0425-1B | Q4 | 0.37 tok/sEstimated Auto-generated benchmark | 1GB |
| TinyLlama/TinyLlama-1.1B-Chat-v1.0 | Q4 | 0.36 tok/sEstimated Auto-generated benchmark | 1GB |
| google/gemma-3-1b-it | Q4 | 0.36 tok/sEstimated Auto-generated benchmark | 1GB |
| apple/OpenELM-1_1B-Instruct | Q4 | 0.36 tok/sEstimated Auto-generated benchmark | 1GB |
| google/gemma-2-2b-it | Q4 | 0.33 tok/sEstimated Auto-generated benchmark | 1GB |
| ibm-granite/granite-3.3-2b-instruct | Q4 | 0.31 tok/sEstimated Auto-generated benchmark | 1GB |
| LiquidAI/LFM2-1.2B | Q4 | 0.31 tok/sEstimated Auto-generated benchmark | 1GB |
| unsloth/gemma-3-1b-it | Q8 | 0.30 tok/sEstimated Auto-generated benchmark | 1GB |
| meta-llama/Llama-Guard-3-1B | Q8 | 0.29 tok/sEstimated Auto-generated benchmark | 1GB |
| Qwen/Qwen2.5-3B-Instruct | Q4 | 0.29 tok/sEstimated Auto-generated benchmark | 2GB |
| google/gemma-3-1b-it | Q8 | 0.29 tok/sEstimated Auto-generated benchmark | 1GB |
| meta-llama/Llama-3.2-1B-Instruct | Q8 | 0.29 tok/sEstimated Auto-generated benchmark | 1GB |
| google/gemma-2b | Q4 | 0.29 tok/sEstimated Auto-generated benchmark | 1GB |
| unsloth/Llama-3.2-1B-Instruct | Q8 | 0.29 tok/sEstimated Auto-generated benchmark | 1GB |
| context-labs/meta-llama-Llama-3.2-3B-Instruct-FP16 | Q4 | 0.28 tok/sEstimated Auto-generated benchmark | 2GB |
| inference-net/Schematron-3B | Q4 | 0.28 tok/sEstimated Auto-generated benchmark | 2GB |
| meta-llama/Llama-3.2-1B | Q8 | 0.28 tok/sEstimated Auto-generated benchmark | 1GB |
| allenai/OLMo-2-0425-1B | Q8 | 0.27 tok/sEstimated Auto-generated benchmark | 1GB |
| ibm-research/PowerMoE-3b | Q4 | 0.27 tok/sEstimated Auto-generated benchmark | 2GB |
| apple/OpenELM-1_1B-Instruct | Q8 | 0.27 tok/sEstimated Auto-generated benchmark | 1GB |
| unsloth/Llama-3.2-3B-Instruct | Q4 | 0.26 tok/sEstimated Auto-generated benchmark | 2GB |
| Qwen/Qwen3-4B-Instruct-2507 | Q4 | 0.26 tok/sEstimated Auto-generated benchmark | 2GB |
| TinyLlama/TinyLlama-1.1B-Chat-v1.0 | Q8 | 0.26 tok/sEstimated Auto-generated benchmark | 1GB |
| Qwen/Qwen2.5-3B | Q4 | 0.26 tok/sEstimated Auto-generated benchmark | 2GB |
| kaitchup/Phi-3-mini-4k-instruct-gptq-4bit | Q4 | 0.26 tok/sEstimated Auto-generated benchmark | 2GB |
| lmstudio-community/Qwen3-4B-Thinking-2507-MLX-8bit | Q4 | 0.26 tok/sEstimated Auto-generated benchmark | 2GB |
| deepseek-ai/deepseek-coder-1.3b-instruct | Q4 | 0.25 tok/sEstimated Auto-generated benchmark | 2GB |
| lmstudio-community/Qwen3-4B-Thinking-2507-MLX-6bit | Q4 | 0.25 tok/sEstimated Auto-generated benchmark | 2GB |
| google-t5/t5-3b | Q4 | 0.25 tok/sEstimated Auto-generated benchmark | 2GB |
| Qwen/Qwen3-4B | Q4 | 0.25 tok/sEstimated Auto-generated benchmark | 2GB |
| Qwen/Qwen3-4B-Thinking-2507-FP8 | Q4 | 0.25 tok/sEstimated Auto-generated benchmark | 2GB |
| meta-llama/Llama-3.2-3B-Instruct | Q4 | 0.25 tok/sEstimated Auto-generated benchmark | 2GB |
| meta-llama/Llama-3.2-3B | Q4 | 0.25 tok/sEstimated Auto-generated benchmark | 2GB |
| bigcode/starcoder2-3b | Q4 | 0.24 tok/sEstimated Auto-generated benchmark | 2GB |
| Qwen/Qwen2.5-Math-1.5B | Q4 | 0.24 tok/sEstimated Auto-generated benchmark | 3GB |
| Qwen/Qwen3-Embedding-4B | Q4 | 0.24 tok/sEstimated Auto-generated benchmark | 2GB |
| ibm-granite/granite-3.3-2b-instruct | Q8 | 0.24 tok/sEstimated Auto-generated benchmark | 2GB |
| Qwen/Qwen3-4B-Thinking-2507 | Q4 | 0.24 tok/sEstimated Auto-generated benchmark | 2GB |
| Qwen/Qwen2.5-0.5B | Q4 | 0.23 tok/sEstimated Auto-generated benchmark | 3GB |
| Qwen/Qwen3-4B-Base | Q4 | 0.23 tok/sEstimated Auto-generated benchmark | 2GB |
| google/gemma-2b | Q8 | 0.23 tok/sEstimated Auto-generated benchmark | 2GB |
| Qwen/Qwen2-0.5B | Q4 | 0.23 tok/sEstimated Auto-generated benchmark | 3GB |
| Qwen/Qwen3-Reranker-0.6B | Q4 | 0.23 tok/sEstimated Auto-generated benchmark | 3GB |
| lmstudio-community/Qwen3-4B-Thinking-2507-MLX-4bit | Q4 | 0.23 tok/sEstimated Auto-generated benchmark | 2GB |
| Alibaba-NLP/gte-Qwen2-1.5B-instruct | Q4 | 0.23 tok/sEstimated Auto-generated benchmark | 3GB |
| Qwen/Qwen2-0.5B-Instruct | Q4 | 0.22 tok/sEstimated Auto-generated benchmark | 3GB |
| deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B | Q4 | 0.22 tok/sEstimated Auto-generated benchmark | 3GB |
| parler-tts/parler-tts-large-v1 | Q4 | 0.22 tok/sEstimated Auto-generated benchmark | 4GB |
| microsoft/VibeVoice-1.5B | Q4 | 0.22 tok/sEstimated Auto-generated benchmark | 3GB |
| Qwen/Qwen3-0.6B-Base | Q4 | 0.22 tok/sEstimated Auto-generated benchmark | 3GB |
| sshleifer/tiny-gpt2 | Q4 | 0.21 tok/sEstimated Auto-generated benchmark | 4GB |
| hmellor/tiny-random-LlamaForCausalLM | Q4 | 0.21 tok/sEstimated Auto-generated benchmark | 4GB |
| deepseek-ai/DeepSeek-Coder-V2-Lite-Instruct | Q4 | 0.21 tok/sEstimated Auto-generated benchmark | 4GB |
| HuggingFaceH4/zephyr-7b-beta | Q4 | 0.21 tok/sEstimated Auto-generated benchmark | 4GB |
| llamafactory/tiny-random-Llama-3 | Q4 | 0.21 tok/sEstimated Auto-generated benchmark | 4GB |
| Qwen/Qwen2.5-7B | Q4 | 0.21 tok/sEstimated Auto-generated benchmark | 4GB |
| deepseek-ai/DeepSeek-V3 | Q4 | 0.21 tok/sEstimated Auto-generated benchmark | 4GB |
| Gensyn/Qwen2.5-0.5B-Instruct | Q4 | 0.21 tok/sEstimated Auto-generated benchmark | 3GB |
| microsoft/Phi-4-mini-instruct | Q4 | 0.21 tok/sEstimated Auto-generated benchmark | 4GB |
| Qwen/Qwen2-1.5B-Instruct | Q4 | 0.21 tok/sEstimated Auto-generated benchmark | 3GB |
| mistralai/Mistral-7B-Instruct-v0.2 | Q4 | 0.21 tok/sEstimated Auto-generated benchmark | 4GB |
| HuggingFaceM4/tiny-random-LlamaForCausalLM | Q4 | 0.21 tok/sEstimated Auto-generated benchmark | 4GB |
| Qwen/Qwen2.5-Coder-1.5B | Q4 | 0.21 tok/sEstimated Auto-generated benchmark | 3GB |
| liuhaotian/llava-v1.5-7b | Q4 | 0.21 tok/sEstimated Auto-generated benchmark | 4GB |
| skt/kogpt2-base-v2 | Q4 | 0.21 tok/sEstimated Auto-generated benchmark | 4GB |
| deepseek-ai/DeepSeek-V3.1 | Q4 | 0.21 tok/sEstimated Auto-generated benchmark | 4GB |
| meta-llama/Llama-2-7b-hf | Q4 | 0.21 tok/sEstimated Auto-generated benchmark | 4GB |
| trl-internal-testing/tiny-random-LlamaForCausalLM | Q4 | 0.21 tok/sEstimated Auto-generated benchmark | 4GB |
| Qwen/Qwen2.5-1.5B-Instruct | Q4 | 0.21 tok/sEstimated Auto-generated benchmark | 3GB |
| Qwen/Qwen3-Embedding-0.6B | Q4 | 0.21 tok/sEstimated Auto-generated benchmark | 3GB |
| zai-org/GLM-4.5-Air | Q4 | 0.21 tok/sEstimated Auto-generated benchmark | 4GB |
| openai-community/gpt2 | Q4 | 0.21 tok/sEstimated Auto-generated benchmark | 4GB |
| mistralai/Mistral-7B-Instruct-v0.1 | Q4 | 0.21 tok/sEstimated Auto-generated benchmark | 4GB |
| LiquidAI/LFM2-1.2B | Q8 | 0.21 tok/sEstimated Auto-generated benchmark | 2GB |
| Qwen/Qwen2.5-1.5B | Q4 | 0.21 tok/sEstimated Auto-generated benchmark | 3GB |
| microsoft/phi-2 | Q4 | 0.21 tok/sEstimated Auto-generated benchmark | 4GB |
| dicta-il/dictalm2.0-instruct | Q4 | 0.21 tok/sEstimated Auto-generated benchmark | 4GB |
| petals-team/StableBeluga2 | Q4 | 0.21 tok/sEstimated Auto-generated benchmark | 4GB |
| Qwen/Qwen2.5-3B | Q8 | 0.20 tok/sEstimated Auto-generated benchmark | 3GB |
| Qwen/Qwen3-0.6B | Q4 | 0.20 tok/sEstimated Auto-generated benchmark | 3GB |
| meta-llama/Llama-3.1-8B-Instruct | Q4 | 0.20 tok/sEstimated Auto-generated benchmark | 4GB |
| facebook/opt-125m | Q4 | 0.20 tok/sEstimated Auto-generated benchmark | 4GB |
| bigscience/bloomz-560m | Q4 | 0.20 tok/sEstimated Auto-generated benchmark | 4GB |
| Qwen/Qwen3-8B | Q4 | 0.20 tok/sEstimated Auto-generated benchmark | 4GB |
| Qwen/Qwen2.5-0.5B-Instruct | Q4 | 0.20 tok/sEstimated Auto-generated benchmark | 3GB |
| Qwen/Qwen3-1.7B | Q4 | 0.20 tok/sEstimated Auto-generated benchmark | 4GB |
| google-t5/t5-3b | Q8 | 0.20 tok/sEstimated Auto-generated benchmark | 3GB |
| rednote-hilab/dots.ocr | Q4 | 0.20 tok/sEstimated Auto-generated benchmark | 4GB |
| unsloth/Meta-Llama-3.1-8B-Instruct-bnb-4bit | Q4 | 0.20 tok/sEstimated Auto-generated benchmark | 4GB |
| zai-org/GLM-4.6-FP8 | Q4 | 0.20 tok/sEstimated Auto-generated benchmark | 4GB |
| deepseek-ai/DeepSeek-R1-0528 | Q4 | 0.20 tok/sEstimated Auto-generated benchmark | 4GB |
| mistralai/Mistral-7B-v0.1 | Q4 | 0.20 tok/sEstimated Auto-generated benchmark | 4GB |
| microsoft/Phi-4-multimodal-instruct | Q4 | 0.20 tok/sEstimated Auto-generated benchmark | 4GB |
| deepseek-ai/DeepSeek-R1 | Q4 | 0.20 tok/sEstimated Auto-generated benchmark | 4GB |
| Qwen/Qwen2-7B-Instruct | Q4 | 0.20 tok/sEstimated Auto-generated benchmark | 4GB |
| google/gemma-2-2b-it | Q8 | 0.20 tok/sEstimated Auto-generated benchmark | 2GB |
| ibm-research/PowerMoE-3b | Q8 | 0.20 tok/sEstimated Auto-generated benchmark | 3GB |
| numind/NuExtract-1.5 | Q4 | 0.20 tok/sEstimated Auto-generated benchmark | 4GB |
| lmstudio-community/DeepSeek-R1-0528-Qwen3-8B-MLX-4bit | Q4 | 0.20 tok/sEstimated Auto-generated benchmark | 4GB |
| lmstudio-community/DeepSeek-R1-0528-Qwen3-8B-MLX-8bit | Q4 | 0.20 tok/sEstimated Auto-generated benchmark | 4GB |
| trl-internal-testing/tiny-LlamaForCausalLM-3.2 | Q4 | 0.20 tok/sEstimated Auto-generated benchmark | 4GB |
| google/gemma-3-270m-it | Q4 | 0.20 tok/sEstimated Auto-generated benchmark | 4GB |
| ibm-granite/granite-docling-258M | Q4 | 0.20 tok/sEstimated Auto-generated benchmark | 4GB |
| bigcode/starcoder2-3b | Q8 | 0.20 tok/sEstimated Auto-generated benchmark | 3GB |
| Qwen/Qwen3-1.7B-Base | Q4 | 0.20 tok/sEstimated Auto-generated benchmark | 4GB |
| meta-llama/Llama-3.1-8B | Q4 | 0.19 tok/sEstimated Auto-generated benchmark | 4GB |
| rinna/japanese-gpt-neox-small | Q4 | 0.19 tok/sEstimated Auto-generated benchmark | 4GB |
| microsoft/DialoGPT-medium | Q4 | 0.19 tok/sEstimated Auto-generated benchmark | 4GB |
| inference-net/Schematron-3B | Q8 | 0.19 tok/sEstimated Auto-generated benchmark | 3GB |
| Qwen/Qwen2.5-7B-Instruct | Q4 | 0.19 tok/sEstimated Auto-generated benchmark | 4GB |
| MiniMaxAI/MiniMax-M2 | Q4 | 0.19 tok/sEstimated Auto-generated benchmark | 4GB |
| lmsys/vicuna-7b-v1.5 | Q4 | 0.19 tok/sEstimated Auto-generated benchmark | 4GB |
| microsoft/DialoGPT-small | Q4 | 0.19 tok/sEstimated Auto-generated benchmark | 4GB |
| EleutherAI/gpt-neo-125m | Q4 | 0.19 tok/sEstimated Auto-generated benchmark | 4GB |
| meta-llama/Llama-3.2-3B | Q8 | 0.19 tok/sEstimated Auto-generated benchmark | 3GB |
| unsloth/Llama-3.2-3B-Instruct | Q8 | 0.19 tok/sEstimated Auto-generated benchmark | 3GB |
| HuggingFaceTB/SmolLM-135M | Q4 | 0.19 tok/sEstimated Auto-generated benchmark | 4GB |
| deepseek-ai/DeepSeek-R1-Distill-Qwen-7B | Q4 | 0.19 tok/sEstimated Auto-generated benchmark | 4GB |
| unsloth/Meta-Llama-3.1-8B-Instruct | Q4 | 0.19 tok/sEstimated Auto-generated benchmark | 4GB |
| microsoft/Phi-3.5-vision-instruct | Q4 | 0.19 tok/sEstimated Auto-generated benchmark | 4GB |
| huggyllama/llama-7b | Q4 | 0.19 tok/sEstimated Auto-generated benchmark | 4GB |
| meta-llama/Llama-2-7b-chat-hf | Q4 | 0.19 tok/sEstimated Auto-generated benchmark | 4GB |
| microsoft/Phi-3.5-mini-instruct | Q4 | 0.19 tok/sEstimated Auto-generated benchmark | 4GB |
| unsloth/mistral-7b-v0.3-bnb-4bit | Q4 | 0.19 tok/sEstimated Auto-generated benchmark | 4GB |
| microsoft/Phi-3-mini-4k-instruct | Q4 | 0.19 tok/sEstimated Auto-generated benchmark | 4GB |
| IlyaGusev/saiga_llama3_8b | Q4 | 0.18 tok/sEstimated Auto-generated benchmark | 4GB |
| NousResearch/Meta-Llama-3.1-8B-Instruct | Q4 | 0.18 tok/sEstimated Auto-generated benchmark | 4GB |
| microsoft/phi-4 | Q4 | 0.18 tok/sEstimated Auto-generated benchmark | 4GB |
| nvidia/NVIDIA-Nemotron-Nano-9B-v2 | Q4 | 0.18 tok/sEstimated Auto-generated benchmark | 5GB |
| swiss-ai/Apertus-8B-Instruct-2509 | Q4 | 0.18 tok/sEstimated Auto-generated benchmark | 4GB |
| Qwen/Qwen2.5-3B-Instruct | Q8 | 0.18 tok/sEstimated Auto-generated benchmark | 3GB |
| Qwen/Qwen2.5-Coder-7B-Instruct | Q4 | 0.18 tok/sEstimated Auto-generated benchmark | 4GB |
| GSAI-ML/LLaDA-8B-Instruct | Q4 | 0.18 tok/sEstimated Auto-generated benchmark | 4GB |
| openai-community/gpt2-xl | Q4 | 0.18 tok/sEstimated Auto-generated benchmark | 4GB |
| distilbert/distilgpt2 | Q4 | 0.18 tok/sEstimated Auto-generated benchmark | 4GB |
| EleutherAI/pythia-70m-deduped | Q4 | 0.18 tok/sEstimated Auto-generated benchmark | 4GB |
| trl-internal-testing/tiny-Qwen2ForCausalLM-2.5 | Q4 | 0.18 tok/sEstimated Auto-generated benchmark | 4GB |
| meta-llama/Llama-3.2-3B-Instruct | Q8 | 0.18 tok/sEstimated Auto-generated benchmark | 3GB |
| meta-llama/Meta-Llama-3-8B-Instruct | Q4 | 0.18 tok/sEstimated Auto-generated benchmark | 4GB |
| vikhyatk/moondream2 | Q4 | 0.18 tok/sEstimated Auto-generated benchmark | 4GB |
| Qwen/Qwen3-4B | Q8 | 0.18 tok/sEstimated Auto-generated benchmark | 4GB |
| HuggingFaceTB/SmolLM2-135M | Q4 | 0.18 tok/sEstimated Auto-generated benchmark | 4GB |
| deepseek-ai/deepseek-coder-1.3b-instruct | Q8 | 0.18 tok/sEstimated Auto-generated benchmark | 3GB |
| meta-llama/Meta-Llama-3-8B | Q4 | 0.18 tok/sEstimated Auto-generated benchmark | 4GB |
| BSC-LT/salamandraTA-7b-instruct | Q4 | 0.18 tok/sEstimated Auto-generated benchmark | 4GB |
| openai-community/gpt2-large | Q4 | 0.18 tok/sEstimated Auto-generated benchmark | 4GB |
| openai-community/gpt2-medium | Q4 | 0.18 tok/sEstimated Auto-generated benchmark | 4GB |
| microsoft/Phi-3-mini-128k-instruct | Q4 | 0.18 tok/sEstimated Auto-generated benchmark | 4GB |
| deepseek-ai/DeepSeek-V3-0324 | Q4 | 0.18 tok/sEstimated Auto-generated benchmark | 4GB |
| Qwen/Qwen3-8B-Base | Q4 | 0.18 tok/sEstimated Auto-generated benchmark | 4GB |
| Qwen/Qwen3-8B-FP8 | Q4 | 0.18 tok/sEstimated Auto-generated benchmark | 4GB |
| Qwen/Qwen3-4B-Base | Q8 | 0.18 tok/sEstimated Auto-generated benchmark | 4GB |
| meta-llama/Llama-Guard-3-8B | Q4 | 0.17 tok/sEstimated Auto-generated benchmark | 4GB |
| Qwen/Qwen2-1.5B-Instruct | Q8 | 0.17 tok/sEstimated Auto-generated benchmark | 5GB |
| Qwen/Qwen3-Embedding-8B | Q4 | 0.17 tok/sEstimated Auto-generated benchmark | 4GB |
| lmstudio-community/Qwen3-4B-Thinking-2507-MLX-4bit | Q8 | 0.17 tok/sEstimated Auto-generated benchmark | 4GB |
| Alibaba-NLP/gte-Qwen2-1.5B-instruct | Q8 | 0.17 tok/sEstimated Auto-generated benchmark | 5GB |
| Qwen/Qwen3-4B-Thinking-2507 | Q8 | 0.17 tok/sEstimated Auto-generated benchmark | 4GB |
| microsoft/VibeVoice-1.5B | Q8 | 0.17 tok/sEstimated Auto-generated benchmark | 5GB |
| GSAI-ML/LLaDA-8B-Base | Q4 | 0.17 tok/sEstimated Auto-generated benchmark | 4GB |
| deepseek-ai/DeepSeek-R1-Distill-Llama-8B | Q4 | 0.17 tok/sEstimated Auto-generated benchmark | 4GB |
| ibm-granite/granite-3.3-8b-instruct | Q4 | 0.17 tok/sEstimated Auto-generated benchmark | 4GB |
| lmstudio-community/Qwen3-4B-Thinking-2507-MLX-6bit | Q8 | 0.17 tok/sEstimated Auto-generated benchmark | 4GB |
| ai-forever/ruGPT-3.5-13B | Q4 | 0.17 tok/sEstimated Auto-generated benchmark | 7GB |
| context-labs/meta-llama-Llama-3.2-3B-Instruct-FP16 | Q8 | 0.17 tok/sEstimated Auto-generated benchmark | 3GB |
| Qwen/Qwen3-Reranker-0.6B | Q8 | 0.16 tok/sEstimated Auto-generated benchmark | 6GB |
| lmstudio-community/Qwen3-4B-Thinking-2507-MLX-8bit | Q8 | 0.16 tok/sEstimated Auto-generated benchmark | 4GB |
| Qwen/Qwen2.5-14B | Q4 | 0.16 tok/sEstimated Auto-generated benchmark | 7GB |
| deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B | Q8 | 0.16 tok/sEstimated Auto-generated benchmark | 5GB |
| OpenPipe/Qwen3-14B-Instruct | Q4 | 0.16 tok/sEstimated Auto-generated benchmark | 7GB |
| Qwen/Qwen3-Embedding-4B | Q8 | 0.16 tok/sEstimated Auto-generated benchmark | 4GB |
| Qwen/Qwen2-0.5B-Instruct | Q8 | 0.16 tok/sEstimated Auto-generated benchmark | 5GB |
| Qwen/Qwen2.5-14B-Instruct | Q4 | 0.16 tok/sEstimated Auto-generated benchmark | 7GB |
| Qwen/Qwen3-4B-Instruct-2507 | Q8 | 0.16 tok/sEstimated Auto-generated benchmark | 4GB |
| kaitchup/Phi-3-mini-4k-instruct-gptq-4bit | Q8 | 0.16 tok/sEstimated Auto-generated benchmark | 4GB |
| Qwen/Qwen2.5-Math-1.5B | Q8 | 0.16 tok/sEstimated Auto-generated benchmark | 5GB |
| vikhyatk/moondream2 | Q8 | 0.15 tok/sEstimated Auto-generated benchmark | 7GB |
| distilbert/distilgpt2 | Q8 | 0.15 tok/sEstimated Auto-generated benchmark | 7GB |
| Qwen/Qwen3-14B | Q4 | 0.15 tok/sEstimated Auto-generated benchmark | 7GB |
| Qwen/Qwen2.5-0.5B | Q8 | 0.15 tok/sEstimated Auto-generated benchmark | 5GB |
| dicta-il/dictalm2.0-instruct | Q8 | 0.15 tok/sEstimated Auto-generated benchmark | 7GB |
| Qwen/Qwen2.5-1.5B | Q8 | 0.15 tok/sEstimated Auto-generated benchmark | 5GB |
| microsoft/Phi-3-mini-4k-instruct | Q8 | 0.15 tok/sEstimated Auto-generated benchmark | 7GB |
| Qwen/Qwen3-0.6B-Base | Q8 | 0.15 tok/sEstimated Auto-generated benchmark | 6GB |
| Qwen/Qwen2.5-Coder-1.5B | Q8 | 0.15 tok/sEstimated Auto-generated benchmark | 5GB |
| Qwen/Qwen3-14B-Base | Q4 | 0.15 tok/sEstimated Auto-generated benchmark | 7GB |
| meta-llama/Llama-2-7b-chat-hf | Q8 | 0.15 tok/sEstimated Auto-generated benchmark | 7GB |
| Qwen/Qwen3-1.7B-Base | Q8 | 0.15 tok/sEstimated Auto-generated benchmark | 7GB |
| microsoft/Phi-3.5-mini-instruct | Q8 | 0.15 tok/sEstimated Auto-generated benchmark | 7GB |
| meta-llama/Llama-2-13b-chat-hf | Q4 | 0.15 tok/sEstimated Auto-generated benchmark | 7GB |
| Qwen/Qwen2.5-1.5B-Instruct | Q8 | 0.15 tok/sEstimated Auto-generated benchmark | 5GB |
| Qwen/Qwen2.5-0.5B-Instruct | Q8 | 0.15 tok/sEstimated Auto-generated benchmark | 5GB |
| google/gemma-3-270m-it | Q8 | 0.15 tok/sEstimated Auto-generated benchmark | 7GB |
| Qwen/Qwen3-4B-Thinking-2507-FP8 | Q8 | 0.15 tok/sEstimated Auto-generated benchmark | 4GB |
| Qwen/Qwen2-0.5B | Q8 | 0.15 tok/sEstimated Auto-generated benchmark | 5GB |
| trl-internal-testing/tiny-Qwen2ForCausalLM-2.5 | Q8 | 0.15 tok/sEstimated Auto-generated benchmark | 7GB |
| microsoft/Phi-4-mini-instruct | Q8 | 0.14 tok/sEstimated Auto-generated benchmark | 7GB |
| Qwen/Qwen3-0.6B | Q8 | 0.14 tok/sEstimated Auto-generated benchmark | 6GB |
| trl-internal-testing/tiny-LlamaForCausalLM-3.2 | Q8 | 0.14 tok/sEstimated Auto-generated benchmark | 7GB |
| microsoft/DialoGPT-small | Q8 | 0.14 tok/sEstimated Auto-generated benchmark | 7GB |
| Qwen/Qwen3-Embedding-0.6B | Q8 | 0.14 tok/sEstimated Auto-generated benchmark | 6GB |
| bigscience/bloomz-560m | Q8 | 0.14 tok/sEstimated Auto-generated benchmark | 7GB |
| microsoft/DialoGPT-medium | Q8 | 0.14 tok/sEstimated Auto-generated benchmark | 7GB |
| skt/kogpt2-base-v2 | Q8 | 0.14 tok/sEstimated Auto-generated benchmark | 7GB |
| deepseek-ai/DeepSeek-V3 | Q8 | 0.14 tok/sEstimated Auto-generated benchmark | 7GB |
| rednote-hilab/dots.ocr | Q8 | 0.14 tok/sEstimated Auto-generated benchmark | 7GB |
| Qwen/Qwen2.5-7B | Q8 | 0.14 tok/sEstimated Auto-generated benchmark | 7GB |
| meta-llama/Llama-Guard-3-8B | Q8 | 0.14 tok/sEstimated Auto-generated benchmark | 8GB |
| openai-community/gpt2-medium | Q8 | 0.14 tok/sEstimated Auto-generated benchmark | 7GB |
| trl-internal-testing/tiny-random-LlamaForCausalLM | Q8 | 0.14 tok/sEstimated Auto-generated benchmark | 7GB |
| EleutherAI/gpt-neo-125m | Q8 | 0.14 tok/sEstimated Auto-generated benchmark | 7GB |
| meta-llama/Meta-Llama-3-8B-Instruct | Q8 | 0.14 tok/sEstimated Auto-generated benchmark | 8GB |
| zai-org/GLM-4.6-FP8 | Q8 | 0.14 tok/sEstimated Auto-generated benchmark | 7GB |
| unsloth/gpt-oss-20b-BF16 | Q4 | 0.14 tok/sEstimated Auto-generated benchmark | 10GB |
| Qwen/Qwen3-Embedding-8B | Q8 | 0.14 tok/sEstimated Auto-generated benchmark | 8GB |
| deepseek-ai/DeepSeek-R1-Distill-Qwen-7B | Q8 | 0.14 tok/sEstimated Auto-generated benchmark | 7GB |
| unsloth/gpt-oss-20b-unsloth-bnb-4bit | Q4 | 0.14 tok/sEstimated Auto-generated benchmark | 10GB |
| sshleifer/tiny-gpt2 | Q8 | 0.14 tok/sEstimated Auto-generated benchmark | 7GB |
| mlx-community/gpt-oss-20b-MXFP4-Q8 | Q4 | 0.14 tok/sEstimated Auto-generated benchmark | 10GB |
| deepseek-ai/DeepSeek-R1-0528 | Q8 | 0.14 tok/sEstimated Auto-generated benchmark | 7GB |
| BSC-LT/salamandraTA-7b-instruct | Q8 | 0.14 tok/sEstimated Auto-generated benchmark | 7GB |
| meta-llama/Llama-2-7b-hf | Q8 | 0.14 tok/sEstimated Auto-generated benchmark | 7GB |
| Qwen/Qwen3-8B | Q8 | 0.14 tok/sEstimated Auto-generated benchmark | 8GB |
| microsoft/Phi-3.5-vision-instruct | Q8 | 0.14 tok/sEstimated Auto-generated benchmark | 7GB |
| unsloth/mistral-7b-v0.3-bnb-4bit | Q8 | 0.14 tok/sEstimated Auto-generated benchmark | 7GB |
| mistralai/Mistral-7B-Instruct-v0.2 | Q8 | 0.14 tok/sEstimated Auto-generated benchmark | 7GB |
| openai/gpt-oss-20b | Q4 | 0.14 tok/sEstimated Auto-generated benchmark | 10GB |
| rinna/japanese-gpt-neox-small | Q8 | 0.14 tok/sEstimated Auto-generated benchmark | 7GB |
| hmellor/tiny-random-LlamaForCausalLM | Q8 | 0.14 tok/sEstimated Auto-generated benchmark | 7GB |
| deepseek-ai/DeepSeek-V3.1 | Q8 | 0.14 tok/sEstimated Auto-generated benchmark | 7GB |
| Qwen/Qwen2-7B-Instruct | Q8 | 0.14 tok/sEstimated Auto-generated benchmark | 7GB |
| lmsys/vicuna-7b-v1.5 | Q8 | 0.14 tok/sEstimated Auto-generated benchmark | 7GB |
| meta-llama/Llama-3.1-8B-Instruct | Q8 | 0.14 tok/sEstimated Auto-generated benchmark | 8GB |
| Gensyn/Qwen2.5-0.5B-Instruct | Q8 | 0.14 tok/sEstimated Auto-generated benchmark | 5GB |
| openai-community/gpt2-xl | Q8 | 0.13 tok/sEstimated Auto-generated benchmark | 7GB |
| microsoft/phi-2 | Q8 | 0.13 tok/sEstimated Auto-generated benchmark | 7GB |
| HuggingFaceTB/SmolLM2-135M | Q8 | 0.13 tok/sEstimated Auto-generated benchmark | 7GB |
| MiniMaxAI/MiniMax-M2 | Q8 | 0.13 tok/sEstimated Auto-generated benchmark | 7GB |
| microsoft/phi-4 | Q8 | 0.13 tok/sEstimated Auto-generated benchmark | 7GB |
| meta-llama/Llama-3.1-8B | Q8 | 0.13 tok/sEstimated Auto-generated benchmark | 8GB |
| mistralai/Mistral-7B-v0.1 | Q8 | 0.13 tok/sEstimated Auto-generated benchmark | 7GB |
| mistralai/Mistral-7B-Instruct-v0.1 | Q8 | 0.13 tok/sEstimated Auto-generated benchmark | 7GB |
| Qwen/Qwen3-1.7B | Q8 | 0.13 tok/sEstimated Auto-generated benchmark | 7GB |
| unsloth/Meta-Llama-3.1-8B-Instruct | Q8 | 0.13 tok/sEstimated Auto-generated benchmark | 8GB |
| HuggingFaceTB/SmolLM-135M | Q8 | 0.13 tok/sEstimated Auto-generated benchmark | 7GB |
| openai-community/gpt2-large | Q8 | 0.13 tok/sEstimated Auto-generated benchmark | 7GB |
| microsoft/Phi-4-multimodal-instruct | Q8 | 0.13 tok/sEstimated Auto-generated benchmark | 7GB |
| Qwen/Qwen3-8B-FP8 | Q8 | 0.13 tok/sEstimated Auto-generated benchmark | 8GB |
| deepseek-ai/DeepSeek-R1 | Q8 | 0.13 tok/sEstimated Auto-generated benchmark | 7GB |
| petals-team/StableBeluga2 | Q8 | 0.13 tok/sEstimated Auto-generated benchmark | 7GB |
| ibm-granite/granite-3.3-8b-instruct | Q8 | 0.13 tok/sEstimated Auto-generated benchmark | 8GB |
| microsoft/Phi-3-mini-128k-instruct | Q8 | 0.13 tok/sEstimated Auto-generated benchmark | 7GB |
| deepseek-ai/DeepSeek-V3-0324 | Q8 | 0.13 tok/sEstimated Auto-generated benchmark | 7GB |
| huggyllama/llama-7b | Q8 | 0.13 tok/sEstimated Auto-generated benchmark | 7GB |
| deepseek-ai/DeepSeek-Coder-V2-Lite-Instruct | Q8 | 0.13 tok/sEstimated Auto-generated benchmark | 7GB |
| openai-community/gpt2 | Q8 | 0.13 tok/sEstimated Auto-generated benchmark | 7GB |
| Qwen/Qwen2.5-Coder-7B-Instruct | Q8 | 0.13 tok/sEstimated Auto-generated benchmark | 7GB |
| HuggingFaceM4/tiny-random-LlamaForCausalLM | Q8 | 0.13 tok/sEstimated Auto-generated benchmark | 7GB |
| lmstudio-community/DeepSeek-R1-0528-Qwen3-8B-MLX-4bit | Q8 | 0.13 tok/sEstimated Auto-generated benchmark | 8GB |
| llamafactory/tiny-random-Llama-3 | Q8 | 0.13 tok/sEstimated Auto-generated benchmark | 7GB |
| liuhaotian/llava-v1.5-7b | Q8 | 0.13 tok/sEstimated Auto-generated benchmark | 7GB |
| parler-tts/parler-tts-large-v1 | Q8 | 0.13 tok/sEstimated Auto-generated benchmark | 7GB |
| facebook/opt-125m | Q8 | 0.13 tok/sEstimated Auto-generated benchmark | 7GB |
| ibm-granite/granite-docling-258M | Q8 | 0.13 tok/sEstimated Auto-generated benchmark | 7GB |
| nvidia/NVIDIA-Nemotron-Nano-9B-v2 | Q8 | 0.13 tok/sEstimated Auto-generated benchmark | 9GB |
| Qwen/Qwen2.5-7B-Instruct | Q8 | 0.13 tok/sEstimated Auto-generated benchmark | 7GB |
| GSAI-ML/LLaDA-8B-Base | Q8 | 0.13 tok/sEstimated Auto-generated benchmark | 8GB |
| unsloth/Meta-Llama-3.1-8B-Instruct-bnb-4bit | Q8 | 0.13 tok/sEstimated Auto-generated benchmark | 8GB |
| swiss-ai/Apertus-8B-Instruct-2509 | Q8 | 0.12 tok/sEstimated Auto-generated benchmark | 8GB |
| EleutherAI/pythia-70m-deduped | Q8 | 0.12 tok/sEstimated Auto-generated benchmark | 7GB |
| zai-org/GLM-4.5-Air | Q8 | 0.12 tok/sEstimated Auto-generated benchmark | 7GB |
| NousResearch/Meta-Llama-3.1-8B-Instruct | Q8 | 0.12 tok/sEstimated Auto-generated benchmark | 8GB |
| lmstudio-community/DeepSeek-R1-0528-Qwen3-8B-MLX-8bit | Q8 | 0.12 tok/sEstimated Auto-generated benchmark | 8GB |
| GSAI-ML/LLaDA-8B-Instruct | Q8 | 0.12 tok/sEstimated Auto-generated benchmark | 8GB |
| Qwen/Qwen3-8B-Base | Q8 | 0.12 tok/sEstimated Auto-generated benchmark | 8GB |
| meta-llama/Meta-Llama-3-8B | Q8 | 0.12 tok/sEstimated Auto-generated benchmark | 8GB |
| IlyaGusev/saiga_llama3_8b | Q8 | 0.12 tok/sEstimated Auto-generated benchmark | 8GB |
| HuggingFaceH4/zephyr-7b-beta | Q8 | 0.12 tok/sEstimated Auto-generated benchmark | 7GB |
| numind/NuExtract-1.5 | Q8 | 0.12 tok/sEstimated Auto-generated benchmark | 7GB |
| deepseek-ai/DeepSeek-R1-Distill-Llama-8B | Q8 | 0.12 tok/sEstimated Auto-generated benchmark | 8GB |
| Qwen/Qwen3-30B-A3B-Thinking-2507 | Q4 | 0.11 tok/sEstimated Auto-generated benchmark | 15GB |
| Qwen/Qwen3-14B | Q8 | 0.11 tok/sEstimated Auto-generated benchmark | 14GB |
| Qwen/Qwen2.5-14B-Instruct | Q8 | 0.11 tok/sEstimated Auto-generated benchmark | 14GB |
| Qwen/Qwen3-30B-A3B-Instruct-2507 | Q4 | 0.11 tok/sEstimated Auto-generated benchmark | 15GB |
| Qwen/Qwen3-Coder-30B-A3B-Instruct | Q4 | 0.11 tok/sEstimated Auto-generated benchmark | 15GB |
| Qwen/Qwen3-30B-A3B-Instruct-2507-FP8 | Q4 | 0.11 tok/sEstimated Auto-generated benchmark | 15GB |
| OpenPipe/Qwen3-14B-Instruct | Q8 | 0.11 tok/sEstimated Auto-generated benchmark | 14GB |
| dphn/dolphin-2.9.1-yi-1.5-34b | Q4 | 0.11 tok/sEstimated Auto-generated benchmark | 17GB |
| baichuan-inc/Baichuan-M2-32B | Q4 | 0.11 tok/sEstimated Auto-generated benchmark | 16GB |
| Qwen/Qwen2.5-32B-Instruct | Q4 | 0.11 tok/sEstimated Auto-generated benchmark | 16GB |
| codellama/CodeLlama-34b-hf | Q4 | 0.11 tok/sEstimated Auto-generated benchmark | 17GB |
| ai-forever/ruGPT-3.5-13B | Q8 | 0.11 tok/sEstimated Auto-generated benchmark | 13GB |
| lmstudio-community/Qwen3-Coder-30B-A3B-Instruct-MLX-6bit | Q4 | 0.10 tok/sEstimated Auto-generated benchmark | 15GB |
| lmstudio-community/Qwen3-Coder-30B-A3B-Instruct-MLX-5bit | Q4 | 0.10 tok/sEstimated Auto-generated benchmark | 15GB |
| deepseek-ai/DeepSeek-R1-Distill-Qwen-32B | Q4 | 0.10 tok/sEstimated Auto-generated benchmark | 16GB |
| Qwen/Qwen3-30B-A3B | Q4 | 0.10 tok/sEstimated Auto-generated benchmark | 15GB |
| lmstudio-community/Qwen3-Coder-30B-A3B-Instruct-MLX-8bit | Q4 | 0.10 tok/sEstimated Auto-generated benchmark | 15GB |
| Qwen/Qwen2.5-32B | Q4 | 0.10 tok/sEstimated Auto-generated benchmark | 16GB |
| Qwen/Qwen3-32B | Q4 | 0.10 tok/sEstimated Auto-generated benchmark | 16GB |
| mlx-community/gpt-oss-20b-MXFP4-Q8 | Q8 | 0.10 tok/sEstimated Auto-generated benchmark | 20GB |
| Qwen/Qwen2.5-14B | Q8 | 0.10 tok/sEstimated Auto-generated benchmark | 14GB |
| openai/gpt-oss-20b | Q8 | 0.10 tok/sEstimated Auto-generated benchmark | 20GB |
| meta-llama/Llama-2-13b-chat-hf | Q8 | 0.10 tok/sEstimated Auto-generated benchmark | 13GB |
| unsloth/DeepSeek-R1-Distill-Qwen-32B-bnb-4bit | Q4 | 0.10 tok/sEstimated Auto-generated benchmark | 16GB |
| Qwen/Qwen3-14B-Base | Q8 | 0.10 tok/sEstimated Auto-generated benchmark | 14GB |
| lmstudio-community/Qwen3-Coder-30B-A3B-Instruct-MLX-4bit | Q4 | 0.10 tok/sEstimated Auto-generated benchmark | 15GB |
| unsloth/gpt-oss-20b-BF16 | Q8 | 0.09 tok/sEstimated Auto-generated benchmark | 20GB |
| unsloth/gpt-oss-20b-unsloth-bnb-4bit | Q8 | 0.09 tok/sEstimated Auto-generated benchmark | 20GB |
| meta-llama/Meta-Llama-3-70B-Instruct | Q4 | 0.08 tok/sEstimated Auto-generated benchmark | 35GB |
| baichuan-inc/Baichuan-M2-32B | Q8 | 0.08 tok/sEstimated Auto-generated benchmark | 32GB |
| RedHatAI/Meta-Llama-3.1-70B-Instruct-quantized.w4a16 | Q4 | 0.08 tok/sEstimated Auto-generated benchmark | 35GB |
| Qwen/Qwen3-30B-A3B-Instruct-2507 | Q8 | 0.08 tok/sEstimated Auto-generated benchmark | 30GB |
| Qwen/Qwen3-Coder-30B-A3B-Instruct | Q8 | 0.08 tok/sEstimated Auto-generated benchmark | 30GB |
| Qwen/Qwen3-30B-A3B-Thinking-2507 | Q8 | 0.08 tok/sEstimated Auto-generated benchmark | 30GB |
| lmstudio-community/Qwen3-Coder-30B-A3B-Instruct-MLX-6bit | Q8 | 0.08 tok/sEstimated Auto-generated benchmark | 30GB |
| lmstudio-community/Qwen3-Coder-30B-A3B-Instruct-MLX-4bit | Q8 | 0.08 tok/sEstimated Auto-generated benchmark | 30GB |
| Qwen/Qwen3-30B-A3B-Instruct-2507-FP8 | Q8 | 0.08 tok/sEstimated Auto-generated benchmark | 30GB |
| dphn/dolphin-2.9.1-yi-1.5-34b | Q8 | 0.08 tok/sEstimated Auto-generated benchmark | 34GB |
| codellama/CodeLlama-34b-hf | Q8 | 0.07 tok/sEstimated Auto-generated benchmark | 34GB |
| Qwen/Qwen2.5-72B-Instruct | Q4 | 0.07 tok/sEstimated Auto-generated benchmark | 36GB |
| RedHatAI/Llama-3.3-70B-Instruct-FP8-dynamic | Q4 | 0.07 tok/sEstimated Auto-generated benchmark | 35GB |
| Qwen/Qwen2.5-32B | Q8 | 0.07 tok/sEstimated Auto-generated benchmark | 32GB |
| Qwen/Qwen2.5-32B-Instruct | Q8 | 0.07 tok/sEstimated Auto-generated benchmark | 32GB |
| Qwen/Qwen3-32B | Q8 | 0.07 tok/sEstimated Auto-generated benchmark | 32GB |
| Qwen/Qwen3-Next-80B-A3B-Thinking | Q4 | 0.07 tok/sEstimated Auto-generated benchmark | 40GB |
| unsloth/DeepSeek-R1-Distill-Qwen-32B-bnb-4bit | Q8 | 0.07 tok/sEstimated Auto-generated benchmark | 32GB |
| Qwen/Qwen3-Next-80B-A3B-Instruct | Q4 | 0.07 tok/sEstimated Auto-generated benchmark | 40GB |
| AI-MO/Kimina-Prover-72B | Q4 | 0.07 tok/sEstimated Auto-generated benchmark | 36GB |
| lmstudio-community/Qwen3-Coder-30B-A3B-Instruct-MLX-5bit | Q8 | 0.07 tok/sEstimated Auto-generated benchmark | 30GB |
| Qwen/Qwen3-30B-A3B | Q8 | 0.07 tok/sEstimated Auto-generated benchmark | 30GB |
| lmstudio-community/Qwen3-Coder-30B-A3B-Instruct-MLX-8bit | Q8 | 0.07 tok/sEstimated Auto-generated benchmark | 30GB |
| meta-llama/Llama-3.1-70B-Instruct | Q4 | 0.07 tok/sEstimated Auto-generated benchmark | 35GB |
| meta-llama/Llama-3.3-70B-Instruct | Q4 | 0.07 tok/sEstimated Auto-generated benchmark | 35GB |
| deepseek-ai/DeepSeek-R1-Distill-Qwen-32B | Q8 | 0.07 tok/sEstimated Auto-generated benchmark | 32GB |
| Qwen/Qwen3-Next-80B-A3B-Thinking-FP8 | Q4 | 0.06 tok/sEstimated Auto-generated benchmark | 40GB |
| Qwen/Qwen3-Next-80B-A3B-Instruct-FP8 | Q4 | 0.06 tok/sEstimated Auto-generated benchmark | 40GB |
| RedHatAI/Llama-3.2-90B-Vision-Instruct-FP8-dynamic | Q4 | 0.06 tok/sEstimated Auto-generated benchmark | 45GB |
| RedHatAI/Meta-Llama-3.1-70B-Instruct-quantized.w4a16 | Q8 | 0.05 tok/sEstimated Auto-generated benchmark | 70GB |
| meta-llama/Llama-3.1-70B-Instruct | Q8 | 0.05 tok/sEstimated Auto-generated benchmark | 70GB |
| AI-MO/Kimina-Prover-72B | Q8 | 0.05 tok/sEstimated Auto-generated benchmark | 72GB |
| Qwen/Qwen3-Next-80B-A3B-Thinking | Q8 | 0.05 tok/sEstimated Auto-generated benchmark | 80GB |
| meta-llama/Meta-Llama-3-70B-Instruct | Q8 | 0.05 tok/sEstimated Auto-generated benchmark | 70GB |
| meta-llama/Llama-3.3-70B-Instruct | Q8 | 0.05 tok/sEstimated Auto-generated benchmark | 70GB |
| Qwen/Qwen2.5-72B-Instruct | Q8 | 0.05 tok/sEstimated Auto-generated benchmark | 72GB |
| Qwen/Qwen3-Next-80B-A3B-Instruct-FP8 | Q8 | 0.05 tok/sEstimated Auto-generated benchmark | 80GB |
| Qwen/Qwen3-Next-80B-A3B-Instruct | Q8 | 0.05 tok/sEstimated Auto-generated benchmark | 80GB |
| RedHatAI/Llama-3.3-70B-Instruct-FP8-dynamic | Q8 | 0.05 tok/sEstimated Auto-generated benchmark | 70GB |
| openai/gpt-oss-120b | Q4 | 0.05 tok/sEstimated Auto-generated benchmark | 60GB |
| RedHatAI/Llama-3.2-90B-Vision-Instruct-FP8-dynamic | Q8 | 0.04 tok/sEstimated Auto-generated benchmark | 90GB |
| Qwen/Qwen3-Next-80B-A3B-Thinking-FP8 | Q8 | 0.04 tok/sEstimated Auto-generated benchmark | 80GB |
| openai/gpt-oss-120b | Q8 | 0.04 tok/sEstimated Auto-generated benchmark | 120GB |
| Qwen/Qwen3-235B-A22B | Q4 | 0.02 tok/sEstimated Auto-generated benchmark | 118GB |
Note: Performance estimates are calculated. Real results may vary. Methodology · Submit real data
| Model | Quantization | Verdict | Estimated speed | VRAM needed |
|---|---|---|---|---|
| Qwen/Qwen3-Next-80B-A3B-Instruct-FP8 | Q8 | Fits comfortably | 0.05 tok/sEstimated | 80GB (have 128GB) |
| Qwen/Qwen3-Next-80B-A3B-Instruct-FP8 | Q4 | Fits comfortably | 0.06 tok/sEstimated | 40GB (have 128GB) |
| ai-forever/ruGPT-3.5-13B | Q8 | Fits comfortably | 0.11 tok/sEstimated | 13GB (have 128GB) |
| ai-forever/ruGPT-3.5-13B | Q4 | Fits comfortably | 0.17 tok/sEstimated | 7GB (have 128GB) |
| baichuan-inc/Baichuan-M2-32B | Q8 | Fits comfortably | 0.08 tok/sEstimated | 32GB (have 128GB) |
| baichuan-inc/Baichuan-M2-32B | Q4 | Fits comfortably | 0.11 tok/sEstimated | 16GB (have 128GB) |
| HuggingFaceM4/tiny-random-LlamaForCausalLM | Q8 | Fits comfortably | 0.13 tok/sEstimated | 7GB (have 128GB) |
| HuggingFaceM4/tiny-random-LlamaForCausalLM | Q4 | Fits comfortably | 0.21 tok/sEstimated | 4GB (have 128GB) |
| ibm-granite/granite-3.3-8b-instruct | Q8 | Fits comfortably | 0.13 tok/sEstimated | 8GB (have 128GB) |
| ibm-granite/granite-3.3-8b-instruct | Q4 | Fits comfortably | 0.17 tok/sEstimated | 4GB (have 128GB) |
| Qwen/Qwen3-1.7B-Base | Q8 | Fits comfortably | 0.15 tok/sEstimated | 7GB (have 128GB) |
| Qwen/Qwen3-1.7B-Base | Q4 | Fits comfortably | 0.20 tok/sEstimated | 4GB (have 128GB) |
| unsloth/gpt-oss-20b-unsloth-bnb-4bit | Q8 | Fits comfortably | 0.09 tok/sEstimated | 20GB (have 128GB) |
| unsloth/gpt-oss-20b-unsloth-bnb-4bit | Q4 | Fits comfortably | 0.14 tok/sEstimated | 10GB (have 128GB) |
| BSC-LT/salamandraTA-7b-instruct | Q8 | Fits comfortably | 0.14 tok/sEstimated | 7GB (have 128GB) |
| BSC-LT/salamandraTA-7b-instruct | Q4 | Fits comfortably | 0.18 tok/sEstimated | 4GB (have 128GB) |
| dicta-il/dictalm2.0-instruct | Q8 | Fits comfortably | 0.15 tok/sEstimated | 7GB (have 128GB) |
| dicta-il/dictalm2.0-instruct | Q4 | Fits comfortably | 0.21 tok/sEstimated | 4GB (have 128GB) |
| lmstudio-community/Qwen3-Coder-30B-A3B-Instruct-MLX-6bit | Q8 | Fits comfortably | 0.08 tok/sEstimated | 30GB (have 128GB) |
| lmstudio-community/Qwen3-Coder-30B-A3B-Instruct-MLX-6bit | Q4 | Fits comfortably | 0.10 tok/sEstimated | 15GB (have 128GB) |
| GSAI-ML/LLaDA-8B-Base | Q8 | Fits comfortably | 0.13 tok/sEstimated | 8GB (have 128GB) |
| GSAI-ML/LLaDA-8B-Base | Q4 | Fits comfortably | 0.17 tok/sEstimated | 4GB (have 128GB) |
| lmstudio-community/Qwen3-Coder-30B-A3B-Instruct-MLX-8bit | Q8 | Fits comfortably | 0.07 tok/sEstimated | 30GB (have 128GB) |
| lmstudio-community/Qwen3-Coder-30B-A3B-Instruct-MLX-8bit | Q4 | Fits comfortably | 0.10 tok/sEstimated | 15GB (have 128GB) |
| Qwen/Qwen2-0.5B-Instruct | Q8 | Fits comfortably | 0.16 tok/sEstimated | 5GB (have 128GB) |
| Qwen/Qwen2-0.5B-Instruct | Q4 | Fits comfortably | 0.22 tok/sEstimated | 3GB (have 128GB) |
| deepseek-ai/DeepSeek-V3 | Q8 | Fits comfortably | 0.14 tok/sEstimated | 7GB (have 128GB) |
| deepseek-ai/DeepSeek-V3 | Q4 | Fits comfortably | 0.21 tok/sEstimated | 4GB (have 128GB) |
| Alibaba-NLP/gte-Qwen2-1.5B-instruct | Q8 | Fits comfortably | 0.17 tok/sEstimated | 5GB (have 128GB) |
| Alibaba-NLP/gte-Qwen2-1.5B-instruct | Q4 | Fits comfortably | 0.23 tok/sEstimated | 3GB (have 128GB) |
| lmstudio-community/Qwen3-Coder-30B-A3B-Instruct-MLX-5bit | Q8 | Fits comfortably | 0.07 tok/sEstimated | 30GB (have 128GB) |
| lmstudio-community/Qwen3-Coder-30B-A3B-Instruct-MLX-5bit | Q4 | Fits comfortably | 0.10 tok/sEstimated | 15GB (have 128GB) |
| Qwen/Qwen3-30B-A3B-Thinking-2507 | Q8 | Fits comfortably | 0.08 tok/sEstimated | 30GB (have 128GB) |
| Qwen/Qwen3-30B-A3B-Thinking-2507 | Q4 | Fits comfortably | 0.11 tok/sEstimated | 15GB (have 128GB) |
| lmstudio-community/Qwen3-Coder-30B-A3B-Instruct-MLX-4bit | Q8 | Fits comfortably | 0.08 tok/sEstimated | 30GB (have 128GB) |
| lmstudio-community/Qwen3-Coder-30B-A3B-Instruct-MLX-4bit | Q4 | Fits comfortably | 0.10 tok/sEstimated | 15GB (have 128GB) |
| AI-MO/Kimina-Prover-72B | Q8 | Fits comfortably | 0.05 tok/sEstimated | 72GB (have 128GB) |
| AI-MO/Kimina-Prover-72B | Q4 | Fits comfortably | 0.07 tok/sEstimated | 36GB (have 128GB) |
| apple/OpenELM-1_1B-Instruct | Q8 | Fits comfortably | 0.27 tok/sEstimated | 1GB (have 128GB) |
| apple/OpenELM-1_1B-Instruct | Q4 | Fits comfortably | 0.36 tok/sEstimated | 1GB (have 128GB) |
| NousResearch/Meta-Llama-3.1-8B-Instruct | Q8 | Fits comfortably | 0.12 tok/sEstimated | 8GB (have 128GB) |
| NousResearch/Meta-Llama-3.1-8B-Instruct | Q4 | Fits comfortably | 0.18 tok/sEstimated | 4GB (have 128GB) |
| nvidia/NVIDIA-Nemotron-Nano-9B-v2 | Q8 | Fits comfortably | 0.13 tok/sEstimated | 9GB (have 128GB) |
| nvidia/NVIDIA-Nemotron-Nano-9B-v2 | Q4 | Fits comfortably | 0.18 tok/sEstimated | 5GB (have 128GB) |
| Qwen/Qwen2.5-3B | Q8 | Fits comfortably | 0.20 tok/sEstimated | 3GB (have 128GB) |
| Qwen/Qwen2.5-3B | Q4 | Fits comfortably | 0.26 tok/sEstimated | 2GB (have 128GB) |
| lmsys/vicuna-7b-v1.5 | Q8 | Fits comfortably | 0.14 tok/sEstimated | 7GB (have 128GB) |
| lmsys/vicuna-7b-v1.5 | Q4 | Fits comfortably | 0.19 tok/sEstimated | 4GB (have 128GB) |
| meta-llama/Llama-2-13b-chat-hf | Q8 | Fits comfortably | 0.10 tok/sEstimated | 13GB (have 128GB) |
| meta-llama/Llama-2-13b-chat-hf | Q4 | Fits comfortably | 0.15 tok/sEstimated | 7GB (have 128GB) |
| Qwen/Qwen3-Next-80B-A3B-Thinking | Q8 | Fits comfortably | 0.05 tok/sEstimated | 80GB (have 128GB) |
| Qwen/Qwen3-Next-80B-A3B-Thinking | Q4 | Fits comfortably | 0.07 tok/sEstimated | 40GB (have 128GB) |
| unsloth/gemma-3-1b-it | Q8 | Fits comfortably | 0.30 tok/sEstimated | 1GB (have 128GB) |
| unsloth/gemma-3-1b-it | Q4 | Fits comfortably | 0.42 tok/sEstimated | 1GB (have 128GB) |
| bigcode/starcoder2-3b | Q8 | Fits comfortably | 0.20 tok/sEstimated | 3GB (have 128GB) |
| bigcode/starcoder2-3b | Q4 | Fits comfortably | 0.24 tok/sEstimated | 2GB (have 128GB) |
| Qwen/Qwen3-Next-80B-A3B-Thinking-FP8 | Q8 | Fits comfortably | 0.04 tok/sEstimated | 80GB (have 128GB) |
| Qwen/Qwen3-Next-80B-A3B-Thinking-FP8 | Q4 | Fits comfortably | 0.06 tok/sEstimated | 40GB (have 128GB) |
| ibm-granite/granite-docling-258M | Q8 | Fits comfortably | 0.13 tok/sEstimated | 7GB (have 128GB) |
| ibm-granite/granite-docling-258M | Q4 | Fits comfortably | 0.20 tok/sEstimated | 4GB (have 128GB) |
| skt/kogpt2-base-v2 | Q8 | Fits comfortably | 0.14 tok/sEstimated | 7GB (have 128GB) |
| skt/kogpt2-base-v2 | Q4 | Fits comfortably | 0.21 tok/sEstimated | 4GB (have 128GB) |
| google/gemma-3-270m-it | Q8 | Fits comfortably | 0.15 tok/sEstimated | 7GB (have 128GB) |
| google/gemma-3-270m-it | Q4 | Fits comfortably | 0.20 tok/sEstimated | 4GB (have 128GB) |
| Qwen/Qwen3-4B-Thinking-2507-FP8 | Q8 | Fits comfortably | 0.15 tok/sEstimated | 4GB (have 128GB) |
| Qwen/Qwen3-4B-Thinking-2507-FP8 | Q4 | Fits comfortably | 0.25 tok/sEstimated | 2GB (have 128GB) |
| Qwen/Qwen2.5-32B | Q8 | Fits comfortably | 0.07 tok/sEstimated | 32GB (have 128GB) |
| Qwen/Qwen2.5-32B | Q4 | Fits comfortably | 0.10 tok/sEstimated | 16GB (have 128GB) |
| parler-tts/parler-tts-large-v1 | Q8 | Fits comfortably | 0.13 tok/sEstimated | 7GB (have 128GB) |
| parler-tts/parler-tts-large-v1 | Q4 | Fits comfortably | 0.22 tok/sEstimated | 4GB (have 128GB) |
| EleutherAI/pythia-70m-deduped | Q8 | Fits comfortably | 0.12 tok/sEstimated | 7GB (have 128GB) |
| EleutherAI/pythia-70m-deduped | Q4 | Fits comfortably | 0.18 tok/sEstimated | 4GB (have 128GB) |
| microsoft/VibeVoice-1.5B | Q8 | Fits comfortably | 0.17 tok/sEstimated | 5GB (have 128GB) |
| microsoft/VibeVoice-1.5B | Q4 | Fits comfortably | 0.22 tok/sEstimated | 3GB (have 128GB) |
| ibm-granite/granite-3.3-2b-instruct | Q8 | Fits comfortably | 0.24 tok/sEstimated | 2GB (have 128GB) |
| ibm-granite/granite-3.3-2b-instruct | Q4 | Fits comfortably | 0.31 tok/sEstimated | 1GB (have 128GB) |
| Qwen/Qwen2.5-72B-Instruct | Q8 | Fits comfortably | 0.05 tok/sEstimated | 72GB (have 128GB) |
| Qwen/Qwen2.5-72B-Instruct | Q4 | Fits comfortably | 0.07 tok/sEstimated | 36GB (have 128GB) |
| liuhaotian/llava-v1.5-7b | Q8 | Fits comfortably | 0.13 tok/sEstimated | 7GB (have 128GB) |
| liuhaotian/llava-v1.5-7b | Q4 | Fits comfortably | 0.21 tok/sEstimated | 4GB (have 128GB) |
| google/gemma-2b | Q8 | Fits comfortably | 0.23 tok/sEstimated | 2GB (have 128GB) |
| google/gemma-2b | Q4 | Fits comfortably | 0.29 tok/sEstimated | 1GB (have 128GB) |
| trl-internal-testing/tiny-LlamaForCausalLM-3.2 | Q8 | Fits comfortably | 0.14 tok/sEstimated | 7GB (have 128GB) |
| trl-internal-testing/tiny-LlamaForCausalLM-3.2 | Q4 | Fits comfortably | 0.20 tok/sEstimated | 4GB (have 128GB) |
| Qwen/Qwen3-235B-A22B | Q8 | Not supported | — | 235GB (have 128GB) |
| Qwen/Qwen3-235B-A22B | Q4 | Fits comfortably | 0.02 tok/sEstimated | 118GB (have 128GB) |
| lmstudio-community/DeepSeek-R1-0528-Qwen3-8B-MLX-8bit | Q8 | Fits comfortably | 0.12 tok/sEstimated | 8GB (have 128GB) |
| lmstudio-community/DeepSeek-R1-0528-Qwen3-8B-MLX-8bit | Q4 | Fits comfortably | 0.20 tok/sEstimated | 4GB (have 128GB) |
| microsoft/Phi-4-mini-instruct | Q8 | Fits comfortably | 0.14 tok/sEstimated | 7GB (have 128GB) |
| microsoft/Phi-4-mini-instruct | Q4 | Fits comfortably | 0.21 tok/sEstimated | 4GB (have 128GB) |
| llamafactory/tiny-random-Llama-3 | Q8 | Fits comfortably | 0.13 tok/sEstimated | 7GB (have 128GB) |
| llamafactory/tiny-random-Llama-3 | Q4 | Fits comfortably | 0.21 tok/sEstimated | 4GB (have 128GB) |
| HuggingFaceH4/zephyr-7b-beta | Q8 | Fits comfortably | 0.12 tok/sEstimated | 7GB (have 128GB) |
| HuggingFaceH4/zephyr-7b-beta | Q4 | Fits comfortably | 0.21 tok/sEstimated | 4GB (have 128GB) |
| Qwen/Qwen3-4B-Thinking-2507 | Q8 | Fits comfortably | 0.17 tok/sEstimated | 4GB (have 128GB) |
| Qwen/Qwen3-4B-Thinking-2507 | Q4 | Fits comfortably | 0.24 tok/sEstimated | 2GB (have 128GB) |
| Qwen/Qwen3-30B-A3B-Instruct-2507-FP8 | Q8 | Fits comfortably | 0.08 tok/sEstimated | 30GB (have 128GB) |
| Qwen/Qwen3-30B-A3B-Instruct-2507-FP8 | Q4 | Fits comfortably | 0.11 tok/sEstimated | 15GB (have 128GB) |
| lmstudio-community/DeepSeek-R1-0528-Qwen3-8B-MLX-4bit | Q8 | Fits comfortably | 0.13 tok/sEstimated | 8GB (have 128GB) |
| lmstudio-community/DeepSeek-R1-0528-Qwen3-8B-MLX-4bit | Q4 | Fits comfortably | 0.20 tok/sEstimated | 4GB (have 128GB) |
| unsloth/Llama-3.2-1B-Instruct | Q8 | Fits comfortably | 0.29 tok/sEstimated | 1GB (have 128GB) |
| unsloth/Llama-3.2-1B-Instruct | Q4 | Fits comfortably | 0.40 tok/sEstimated | 1GB (have 128GB) |
| GSAI-ML/LLaDA-8B-Instruct | Q8 | Fits comfortably | 0.12 tok/sEstimated | 8GB (have 128GB) |
| GSAI-ML/LLaDA-8B-Instruct | Q4 | Fits comfortably | 0.18 tok/sEstimated | 4GB (have 128GB) |
| RedHatAI/Llama-3.2-90B-Vision-Instruct-FP8-dynamic | Q8 | Fits comfortably | 0.04 tok/sEstimated | 90GB (have 128GB) |
| RedHatAI/Llama-3.2-90B-Vision-Instruct-FP8-dynamic | Q4 | Fits comfortably | 0.06 tok/sEstimated | 45GB (have 128GB) |
| Qwen/Qwen2.5-Coder-7B-Instruct | Q8 | Fits comfortably | 0.13 tok/sEstimated | 7GB (have 128GB) |
| Qwen/Qwen2.5-Coder-7B-Instruct | Q4 | Fits comfortably | 0.18 tok/sEstimated | 4GB (have 128GB) |
| numind/NuExtract-1.5 | Q8 | Fits comfortably | 0.12 tok/sEstimated | 7GB (have 128GB) |
| numind/NuExtract-1.5 | Q4 | Fits comfortably | 0.20 tok/sEstimated | 4GB (have 128GB) |
| deepseek-ai/DeepSeek-Coder-V2-Lite-Instruct | Q8 | Fits comfortably | 0.13 tok/sEstimated | 7GB (have 128GB) |
| deepseek-ai/DeepSeek-Coder-V2-Lite-Instruct | Q4 | Fits comfortably | 0.21 tok/sEstimated | 4GB (have 128GB) |
| hmellor/tiny-random-LlamaForCausalLM | Q8 | Fits comfortably | 0.14 tok/sEstimated | 7GB (have 128GB) |
| hmellor/tiny-random-LlamaForCausalLM | Q4 | Fits comfortably | 0.21 tok/sEstimated | 4GB (have 128GB) |
| huggyllama/llama-7b | Q8 | Fits comfortably | 0.13 tok/sEstimated | 7GB (have 128GB) |
| huggyllama/llama-7b | Q4 | Fits comfortably | 0.19 tok/sEstimated | 4GB (have 128GB) |
| deepseek-ai/DeepSeek-V3-0324 | Q8 | Fits comfortably | 0.13 tok/sEstimated | 7GB (have 128GB) |
| deepseek-ai/DeepSeek-V3-0324 | Q4 | Fits comfortably | 0.18 tok/sEstimated | 4GB (have 128GB) |
| microsoft/Phi-3-mini-128k-instruct | Q8 | Fits comfortably | 0.13 tok/sEstimated | 7GB (have 128GB) |
| microsoft/Phi-3-mini-128k-instruct | Q4 | Fits comfortably | 0.18 tok/sEstimated | 4GB (have 128GB) |
| sshleifer/tiny-gpt2 | Q8 | Fits comfortably | 0.14 tok/sEstimated | 7GB (have 128GB) |
| sshleifer/tiny-gpt2 | Q4 | Fits comfortably | 0.21 tok/sEstimated | 4GB (have 128GB) |
| meta-llama/Llama-Guard-3-8B | Q8 | Fits comfortably | 0.14 tok/sEstimated | 8GB (have 128GB) |
| meta-llama/Llama-Guard-3-8B | Q4 | Fits comfortably | 0.17 tok/sEstimated | 4GB (have 128GB) |
| openai-community/gpt2-xl | Q8 | Fits comfortably | 0.13 tok/sEstimated | 7GB (have 128GB) |
| openai-community/gpt2-xl | Q4 | Fits comfortably | 0.18 tok/sEstimated | 4GB (have 128GB) |
| OpenPipe/Qwen3-14B-Instruct | Q8 | Fits comfortably | 0.11 tok/sEstimated | 14GB (have 128GB) |
| OpenPipe/Qwen3-14B-Instruct | Q4 | Fits comfortably | 0.16 tok/sEstimated | 7GB (have 128GB) |
| RedHatAI/Meta-Llama-3.1-70B-Instruct-quantized.w4a16 | Q8 | Fits comfortably | 0.05 tok/sEstimated | 70GB (have 128GB) |
| RedHatAI/Meta-Llama-3.1-70B-Instruct-quantized.w4a16 | Q4 | Fits comfortably | 0.08 tok/sEstimated | 35GB (have 128GB) |
| lmstudio-community/Qwen3-4B-Thinking-2507-MLX-6bit | Q8 | Fits comfortably | 0.17 tok/sEstimated | 4GB (have 128GB) |
| lmstudio-community/Qwen3-4B-Thinking-2507-MLX-6bit | Q4 | Fits comfortably | 0.25 tok/sEstimated | 2GB (have 128GB) |
| ibm-research/PowerMoE-3b | Q8 | Fits comfortably | 0.20 tok/sEstimated | 3GB (have 128GB) |
| ibm-research/PowerMoE-3b | Q4 | Fits comfortably | 0.27 tok/sEstimated | 2GB (have 128GB) |
| lmstudio-community/Qwen3-4B-Thinking-2507-MLX-8bit | Q8 | Fits comfortably | 0.16 tok/sEstimated | 4GB (have 128GB) |
| lmstudio-community/Qwen3-4B-Thinking-2507-MLX-8bit | Q4 | Fits comfortably | 0.26 tok/sEstimated | 2GB (have 128GB) |
| unsloth/Llama-3.2-3B-Instruct | Q8 | Fits comfortably | 0.19 tok/sEstimated | 3GB (have 128GB) |
| unsloth/Llama-3.2-3B-Instruct | Q4 | Fits comfortably | 0.26 tok/sEstimated | 2GB (have 128GB) |
| lmstudio-community/Qwen3-4B-Thinking-2507-MLX-4bit | Q8 | Fits comfortably | 0.17 tok/sEstimated | 4GB (have 128GB) |
| lmstudio-community/Qwen3-4B-Thinking-2507-MLX-4bit | Q4 | Fits comfortably | 0.23 tok/sEstimated | 2GB (have 128GB) |
| meta-llama/Llama-3.2-3B | Q8 | Fits comfortably | 0.19 tok/sEstimated | 3GB (have 128GB) |
| meta-llama/Llama-3.2-3B | Q4 | Fits comfortably | 0.25 tok/sEstimated | 2GB (have 128GB) |
| EleutherAI/gpt-neo-125m | Q8 | Fits comfortably | 0.14 tok/sEstimated | 7GB (have 128GB) |
| EleutherAI/gpt-neo-125m | Q4 | Fits comfortably | 0.19 tok/sEstimated | 4GB (have 128GB) |
| codellama/CodeLlama-34b-hf | Q8 | Fits comfortably | 0.07 tok/sEstimated | 34GB (have 128GB) |
| codellama/CodeLlama-34b-hf | Q4 | Fits comfortably | 0.11 tok/sEstimated | 17GB (have 128GB) |
| meta-llama/Llama-Guard-3-1B | Q8 | Fits comfortably | 0.29 tok/sEstimated | 1GB (have 128GB) |
| meta-llama/Llama-Guard-3-1B | Q4 | Fits comfortably | 0.43 tok/sEstimated | 1GB (have 128GB) |
| Qwen/Qwen2-1.5B-Instruct | Q8 | Fits comfortably | 0.17 tok/sEstimated | 5GB (have 128GB) |
| Qwen/Qwen2-1.5B-Instruct | Q4 | Fits comfortably | 0.21 tok/sEstimated | 3GB (have 128GB) |
| google/gemma-2-2b-it | Q8 | Fits comfortably | 0.20 tok/sEstimated | 2GB (have 128GB) |
| google/gemma-2-2b-it | Q4 | Fits comfortably | 0.33 tok/sEstimated | 1GB (have 128GB) |
| Qwen/Qwen2.5-14B | Q8 | Fits comfortably | 0.10 tok/sEstimated | 14GB (have 128GB) |
| Qwen/Qwen2.5-14B | Q4 | Fits comfortably | 0.16 tok/sEstimated | 7GB (have 128GB) |
| unsloth/DeepSeek-R1-Distill-Qwen-32B-bnb-4bit | Q8 | Fits comfortably | 0.07 tok/sEstimated | 32GB (have 128GB) |
| unsloth/DeepSeek-R1-Distill-Qwen-32B-bnb-4bit | Q4 | Fits comfortably | 0.10 tok/sEstimated | 16GB (have 128GB) |
| microsoft/Phi-3.5-mini-instruct | Q8 | Fits comfortably | 0.15 tok/sEstimated | 7GB (have 128GB) |
| microsoft/Phi-3.5-mini-instruct | Q4 | Fits comfortably | 0.19 tok/sEstimated | 4GB (have 128GB) |
| Qwen/Qwen3-4B-Base | Q8 | Fits comfortably | 0.18 tok/sEstimated | 4GB (have 128GB) |
| Qwen/Qwen3-4B-Base | Q4 | Fits comfortably | 0.23 tok/sEstimated | 2GB (have 128GB) |
| Qwen/Qwen2-7B-Instruct | Q8 | Fits comfortably | 0.14 tok/sEstimated | 7GB (have 128GB) |
| Qwen/Qwen2-7B-Instruct | Q4 | Fits comfortably | 0.20 tok/sEstimated | 4GB (have 128GB) |
| meta-llama/Llama-2-7b-chat-hf | Q8 | Fits comfortably | 0.15 tok/sEstimated | 7GB (have 128GB) |
| meta-llama/Llama-2-7b-chat-hf | Q4 | Fits comfortably | 0.19 tok/sEstimated | 4GB (have 128GB) |
| Qwen/Qwen3-14B-Base | Q8 | Fits comfortably | 0.10 tok/sEstimated | 14GB (have 128GB) |
| Qwen/Qwen3-14B-Base | Q4 | Fits comfortably | 0.15 tok/sEstimated | 7GB (have 128GB) |
| swiss-ai/Apertus-8B-Instruct-2509 | Q8 | Fits comfortably | 0.12 tok/sEstimated | 8GB (have 128GB) |
| swiss-ai/Apertus-8B-Instruct-2509 | Q4 | Fits comfortably | 0.18 tok/sEstimated | 4GB (have 128GB) |
| microsoft/Phi-3.5-vision-instruct | Q8 | Fits comfortably | 0.14 tok/sEstimated | 7GB (have 128GB) |
| microsoft/Phi-3.5-vision-instruct | Q4 | Fits comfortably | 0.19 tok/sEstimated | 4GB (have 128GB) |
| unsloth/mistral-7b-v0.3-bnb-4bit | Q8 | Fits comfortably | 0.14 tok/sEstimated | 7GB (have 128GB) |
| unsloth/mistral-7b-v0.3-bnb-4bit | Q4 | Fits comfortably | 0.19 tok/sEstimated | 4GB (have 128GB) |
| rinna/japanese-gpt-neox-small | Q8 | Fits comfortably | 0.14 tok/sEstimated | 7GB (have 128GB) |
| rinna/japanese-gpt-neox-small | Q4 | Fits comfortably | 0.19 tok/sEstimated | 4GB (have 128GB) |
| Qwen/Qwen2.5-Coder-1.5B | Q8 | Fits comfortably | 0.15 tok/sEstimated | 5GB (have 128GB) |
| Qwen/Qwen2.5-Coder-1.5B | Q4 | Fits comfortably | 0.21 tok/sEstimated | 3GB (have 128GB) |
| IlyaGusev/saiga_llama3_8b | Q8 | Fits comfortably | 0.12 tok/sEstimated | 8GB (have 128GB) |
| IlyaGusev/saiga_llama3_8b | Q4 | Fits comfortably | 0.18 tok/sEstimated | 4GB (have 128GB) |
| Qwen/Qwen3-30B-A3B | Q8 | Fits comfortably | 0.07 tok/sEstimated | 30GB (have 128GB) |
| Qwen/Qwen3-30B-A3B | Q4 | Fits comfortably | 0.10 tok/sEstimated | 15GB (have 128GB) |
| deepseek-ai/DeepSeek-R1 | Q8 | Fits comfortably | 0.13 tok/sEstimated | 7GB (have 128GB) |
| deepseek-ai/DeepSeek-R1 | Q4 | Fits comfortably | 0.20 tok/sEstimated | 4GB (have 128GB) |
| microsoft/DialoGPT-small | Q8 | Fits comfortably | 0.14 tok/sEstimated | 7GB (have 128GB) |
| microsoft/DialoGPT-small | Q4 | Fits comfortably | 0.19 tok/sEstimated | 4GB (have 128GB) |
| Qwen/Qwen3-8B-FP8 | Q8 | Fits comfortably | 0.13 tok/sEstimated | 8GB (have 128GB) |
| Qwen/Qwen3-8B-FP8 | Q4 | Fits comfortably | 0.18 tok/sEstimated | 4GB (have 128GB) |
| Qwen/Qwen3-Coder-30B-A3B-Instruct | Q8 | Fits comfortably | 0.08 tok/sEstimated | 30GB (have 128GB) |
| Qwen/Qwen3-Coder-30B-A3B-Instruct | Q4 | Fits comfortably | 0.11 tok/sEstimated | 15GB (have 128GB) |
| Qwen/Qwen3-Embedding-4B | Q8 | Fits comfortably | 0.16 tok/sEstimated | 4GB (have 128GB) |
| Qwen/Qwen3-Embedding-4B | Q4 | Fits comfortably | 0.24 tok/sEstimated | 2GB (have 128GB) |
| microsoft/Phi-4-multimodal-instruct | Q8 | Fits comfortably | 0.13 tok/sEstimated | 7GB (have 128GB) |
| microsoft/Phi-4-multimodal-instruct | Q4 | Fits comfortably | 0.20 tok/sEstimated | 4GB (have 128GB) |
| Qwen/Qwen3-8B-Base | Q8 | Fits comfortably | 0.12 tok/sEstimated | 8GB (have 128GB) |
| Qwen/Qwen3-8B-Base | Q4 | Fits comfortably | 0.18 tok/sEstimated | 4GB (have 128GB) |
| Qwen/Qwen3-0.6B-Base | Q8 | Fits comfortably | 0.15 tok/sEstimated | 6GB (have 128GB) |
| Qwen/Qwen3-0.6B-Base | Q4 | Fits comfortably | 0.22 tok/sEstimated | 3GB (have 128GB) |
| openai-community/gpt2-medium | Q8 | Fits comfortably | 0.14 tok/sEstimated | 7GB (have 128GB) |
| openai-community/gpt2-medium | Q4 | Fits comfortably | 0.18 tok/sEstimated | 4GB (have 128GB) |
| trl-internal-testing/tiny-random-LlamaForCausalLM | Q8 | Fits comfortably | 0.14 tok/sEstimated | 7GB (have 128GB) |
| trl-internal-testing/tiny-random-LlamaForCausalLM | Q4 | Fits comfortably | 0.21 tok/sEstimated | 4GB (have 128GB) |
| Qwen/Qwen2.5-Math-1.5B | Q8 | Fits comfortably | 0.16 tok/sEstimated | 5GB (have 128GB) |
| Qwen/Qwen2.5-Math-1.5B | Q4 | Fits comfortably | 0.24 tok/sEstimated | 3GB (have 128GB) |
| HuggingFaceTB/SmolLM-135M | Q8 | Fits comfortably | 0.13 tok/sEstimated | 7GB (have 128GB) |
| HuggingFaceTB/SmolLM-135M | Q4 | Fits comfortably | 0.19 tok/sEstimated | 4GB (have 128GB) |
| unsloth/gpt-oss-20b-BF16 | Q8 | Fits comfortably | 0.09 tok/sEstimated | 20GB (have 128GB) |
| unsloth/gpt-oss-20b-BF16 | Q4 | Fits comfortably | 0.14 tok/sEstimated | 10GB (have 128GB) |
| meta-llama/Meta-Llama-3-70B-Instruct | Q8 | Fits comfortably | 0.05 tok/sEstimated | 70GB (have 128GB) |
| meta-llama/Meta-Llama-3-70B-Instruct | Q4 | Fits comfortably | 0.08 tok/sEstimated | 35GB (have 128GB) |
| unsloth/Meta-Llama-3.1-8B-Instruct | Q8 | Fits comfortably | 0.13 tok/sEstimated | 8GB (have 128GB) |
| unsloth/Meta-Llama-3.1-8B-Instruct | Q4 | Fits comfortably | 0.19 tok/sEstimated | 4GB (have 128GB) |
| zai-org/GLM-4.5-Air | Q8 | Fits comfortably | 0.12 tok/sEstimated | 7GB (have 128GB) |
| zai-org/GLM-4.5-Air | Q4 | Fits comfortably | 0.21 tok/sEstimated | 4GB (have 128GB) |
| mistralai/Mistral-7B-Instruct-v0.1 | Q8 | Fits comfortably | 0.13 tok/sEstimated | 7GB (have 128GB) |
| mistralai/Mistral-7B-Instruct-v0.1 | Q4 | Fits comfortably | 0.21 tok/sEstimated | 4GB (have 128GB) |
| LiquidAI/LFM2-1.2B | Q8 | Fits comfortably | 0.21 tok/sEstimated | 2GB (have 128GB) |
| LiquidAI/LFM2-1.2B | Q4 | Fits comfortably | 0.31 tok/sEstimated | 1GB (have 128GB) |
| mistralai/Mistral-7B-v0.1 | Q8 | Fits comfortably | 0.13 tok/sEstimated | 7GB (have 128GB) |
| mistralai/Mistral-7B-v0.1 | Q4 | Fits comfortably | 0.20 tok/sEstimated | 4GB (have 128GB) |
| Qwen/Qwen2.5-32B-Instruct | Q8 | Fits comfortably | 0.07 tok/sEstimated | 32GB (have 128GB) |
| Qwen/Qwen2.5-32B-Instruct | Q4 | Fits comfortably | 0.11 tok/sEstimated | 16GB (have 128GB) |
| deepseek-ai/DeepSeek-R1-0528 | Q8 | Fits comfortably | 0.14 tok/sEstimated | 7GB (have 128GB) |
| deepseek-ai/DeepSeek-R1-0528 | Q4 | Fits comfortably | 0.20 tok/sEstimated | 4GB (have 128GB) |
| meta-llama/Llama-3.1-8B | Q8 | Fits comfortably | 0.13 tok/sEstimated | 8GB (have 128GB) |
| meta-llama/Llama-3.1-8B | Q4 | Fits comfortably | 0.19 tok/sEstimated | 4GB (have 128GB) |
| deepseek-ai/DeepSeek-V3.1 | Q8 | Fits comfortably | 0.14 tok/sEstimated | 7GB (have 128GB) |
| deepseek-ai/DeepSeek-V3.1 | Q4 | Fits comfortably | 0.21 tok/sEstimated | 4GB (have 128GB) |
| microsoft/phi-4 | Q8 | Fits comfortably | 0.13 tok/sEstimated | 7GB (have 128GB) |
| microsoft/phi-4 | Q4 | Fits comfortably | 0.18 tok/sEstimated | 4GB (have 128GB) |
| deepseek-ai/deepseek-coder-1.3b-instruct | Q8 | Fits comfortably | 0.18 tok/sEstimated | 3GB (have 128GB) |
| deepseek-ai/deepseek-coder-1.3b-instruct | Q4 | Fits comfortably | 0.25 tok/sEstimated | 2GB (have 128GB) |
| Qwen/Qwen2-0.5B | Q8 | Fits comfortably | 0.15 tok/sEstimated | 5GB (have 128GB) |
| Qwen/Qwen2-0.5B | Q4 | Fits comfortably | 0.23 tok/sEstimated | 3GB (have 128GB) |
| MiniMaxAI/MiniMax-M2 | Q8 | Fits comfortably | 0.13 tok/sEstimated | 7GB (have 128GB) |
| MiniMaxAI/MiniMax-M2 | Q4 | Fits comfortably | 0.19 tok/sEstimated | 4GB (have 128GB) |
| microsoft/DialoGPT-medium | Q8 | Fits comfortably | 0.14 tok/sEstimated | 7GB (have 128GB) |
| microsoft/DialoGPT-medium | Q4 | Fits comfortably | 0.19 tok/sEstimated | 4GB (have 128GB) |
| zai-org/GLM-4.6-FP8 | Q8 | Fits comfortably | 0.14 tok/sEstimated | 7GB (have 128GB) |
| zai-org/GLM-4.6-FP8 | Q4 | Fits comfortably | 0.20 tok/sEstimated | 4GB (have 128GB) |
| HuggingFaceTB/SmolLM2-135M | Q8 | Fits comfortably | 0.13 tok/sEstimated | 7GB (have 128GB) |
| HuggingFaceTB/SmolLM2-135M | Q4 | Fits comfortably | 0.18 tok/sEstimated | 4GB (have 128GB) |
| deepseek-ai/DeepSeek-R1-Distill-Llama-8B | Q8 | Fits comfortably | 0.12 tok/sEstimated | 8GB (have 128GB) |
| deepseek-ai/DeepSeek-R1-Distill-Llama-8B | Q4 | Fits comfortably | 0.17 tok/sEstimated | 4GB (have 128GB) |
| meta-llama/Llama-2-7b-hf | Q8 | Fits comfortably | 0.14 tok/sEstimated | 7GB (have 128GB) |
| meta-llama/Llama-2-7b-hf | Q4 | Fits comfortably | 0.21 tok/sEstimated | 4GB (have 128GB) |
| deepseek-ai/DeepSeek-R1-Distill-Qwen-7B | Q8 | Fits comfortably | 0.14 tok/sEstimated | 7GB (have 128GB) |
| deepseek-ai/DeepSeek-R1-Distill-Qwen-7B | Q4 | Fits comfortably | 0.19 tok/sEstimated | 4GB (have 128GB) |
| microsoft/phi-2 | Q8 | Fits comfortably | 0.13 tok/sEstimated | 7GB (have 128GB) |
| microsoft/phi-2 | Q4 | Fits comfortably | 0.21 tok/sEstimated | 4GB (have 128GB) |
| meta-llama/Llama-3.1-70B-Instruct | Q8 | Fits comfortably | 0.05 tok/sEstimated | 70GB (have 128GB) |
| meta-llama/Llama-3.1-70B-Instruct | Q4 | Fits comfortably | 0.07 tok/sEstimated | 35GB (have 128GB) |
| Qwen/Qwen2.5-0.5B | Q8 | Fits comfortably | 0.15 tok/sEstimated | 5GB (have 128GB) |
| Qwen/Qwen2.5-0.5B | Q4 | Fits comfortably | 0.23 tok/sEstimated | 3GB (have 128GB) |
| Qwen/Qwen3-14B | Q8 | Fits comfortably | 0.11 tok/sEstimated | 14GB (have 128GB) |
| Qwen/Qwen3-14B | Q4 | Fits comfortably | 0.15 tok/sEstimated | 7GB (have 128GB) |
| Qwen/Qwen3-Embedding-8B | Q8 | Fits comfortably | 0.14 tok/sEstimated | 8GB (have 128GB) |
| Qwen/Qwen3-Embedding-8B | Q4 | Fits comfortably | 0.17 tok/sEstimated | 4GB (have 128GB) |
| meta-llama/Llama-3.3-70B-Instruct | Q8 | Fits comfortably | 0.05 tok/sEstimated | 70GB (have 128GB) |
| meta-llama/Llama-3.3-70B-Instruct | Q4 | Fits comfortably | 0.07 tok/sEstimated | 35GB (have 128GB) |
| unsloth/Meta-Llama-3.1-8B-Instruct-bnb-4bit | Q8 | Fits comfortably | 0.13 tok/sEstimated | 8GB (have 128GB) |
| unsloth/Meta-Llama-3.1-8B-Instruct-bnb-4bit | Q4 | Fits comfortably | 0.20 tok/sEstimated | 4GB (have 128GB) |
| Qwen/Qwen2.5-14B-Instruct | Q8 | Fits comfortably | 0.11 tok/sEstimated | 14GB (have 128GB) |
| Qwen/Qwen2.5-14B-Instruct | Q4 | Fits comfortably | 0.16 tok/sEstimated | 7GB (have 128GB) |
| Qwen/Qwen2.5-1.5B | Q8 | Fits comfortably | 0.15 tok/sEstimated | 5GB (have 128GB) |
| Qwen/Qwen2.5-1.5B | Q4 | Fits comfortably | 0.21 tok/sEstimated | 3GB (have 128GB) |
| kaitchup/Phi-3-mini-4k-instruct-gptq-4bit | Q8 | Fits comfortably | 0.16 tok/sEstimated | 4GB (have 128GB) |
| kaitchup/Phi-3-mini-4k-instruct-gptq-4bit | Q4 | Fits comfortably | 0.26 tok/sEstimated | 2GB (have 128GB) |
| mlx-community/gpt-oss-20b-MXFP4-Q8 | Q8 | Fits comfortably | 0.10 tok/sEstimated | 20GB (have 128GB) |
| mlx-community/gpt-oss-20b-MXFP4-Q8 | Q4 | Fits comfortably | 0.14 tok/sEstimated | 10GB (have 128GB) |
| deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B | Q8 | Fits comfortably | 0.16 tok/sEstimated | 5GB (have 128GB) |
| deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B | Q4 | Fits comfortably | 0.22 tok/sEstimated | 3GB (have 128GB) |
| meta-llama/Meta-Llama-3-8B-Instruct | Q8 | Fits comfortably | 0.14 tok/sEstimated | 8GB (have 128GB) |
| meta-llama/Meta-Llama-3-8B-Instruct | Q4 | Fits comfortably | 0.18 tok/sEstimated | 4GB (have 128GB) |
| Qwen/Qwen3-Reranker-0.6B | Q8 | Fits comfortably | 0.16 tok/sEstimated | 6GB (have 128GB) |
| Qwen/Qwen3-Reranker-0.6B | Q4 | Fits comfortably | 0.23 tok/sEstimated | 3GB (have 128GB) |
| rednote-hilab/dots.ocr | Q8 | Fits comfortably | 0.14 tok/sEstimated | 7GB (have 128GB) |
| rednote-hilab/dots.ocr | Q4 | Fits comfortably | 0.20 tok/sEstimated | 4GB (have 128GB) |
| google-t5/t5-3b | Q8 | Fits comfortably | 0.20 tok/sEstimated | 3GB (have 128GB) |
| google-t5/t5-3b | Q4 | Fits comfortably | 0.25 tok/sEstimated | 2GB (have 128GB) |
| Qwen/Qwen3-30B-A3B-Instruct-2507 | Q8 | Fits comfortably | 0.08 tok/sEstimated | 30GB (have 128GB) |
| Qwen/Qwen3-30B-A3B-Instruct-2507 | Q4 | Fits comfortably | 0.11 tok/sEstimated | 15GB (have 128GB) |
| Qwen/Qwen3-4B | Q8 | Fits comfortably | 0.18 tok/sEstimated | 4GB (have 128GB) |
| Qwen/Qwen3-4B | Q4 | Fits comfortably | 0.25 tok/sEstimated | 2GB (have 128GB) |
| Qwen/Qwen3-1.7B | Q8 | Fits comfortably | 0.13 tok/sEstimated | 7GB (have 128GB) |
| Qwen/Qwen3-1.7B | Q4 | Fits comfortably | 0.20 tok/sEstimated | 4GB (have 128GB) |
| openai-community/gpt2-large | Q8 | Fits comfortably | 0.13 tok/sEstimated | 7GB (have 128GB) |
| openai-community/gpt2-large | Q4 | Fits comfortably | 0.18 tok/sEstimated | 4GB (have 128GB) |
| microsoft/Phi-3-mini-4k-instruct | Q8 | Fits comfortably | 0.15 tok/sEstimated | 7GB (have 128GB) |
| microsoft/Phi-3-mini-4k-instruct | Q4 | Fits comfortably | 0.19 tok/sEstimated | 4GB (have 128GB) |
| allenai/OLMo-2-0425-1B | Q8 | Fits comfortably | 0.27 tok/sEstimated | 1GB (have 128GB) |
| allenai/OLMo-2-0425-1B | Q4 | Fits comfortably | 0.37 tok/sEstimated | 1GB (have 128GB) |
| Qwen/Qwen3-Next-80B-A3B-Instruct | Q8 | Fits comfortably | 0.05 tok/sEstimated | 80GB (have 128GB) |
| Qwen/Qwen3-Next-80B-A3B-Instruct | Q4 | Fits comfortably | 0.07 tok/sEstimated | 40GB (have 128GB) |
| Qwen/Qwen3-32B | Q8 | Fits comfortably | 0.07 tok/sEstimated | 32GB (have 128GB) |
| Qwen/Qwen3-32B | Q4 | Fits comfortably | 0.10 tok/sEstimated | 16GB (have 128GB) |
| Qwen/Qwen2.5-0.5B-Instruct | Q8 | Fits comfortably | 0.15 tok/sEstimated | 5GB (have 128GB) |
| Qwen/Qwen2.5-0.5B-Instruct | Q4 | Fits comfortably | 0.20 tok/sEstimated | 3GB (have 128GB) |
| Qwen/Qwen2.5-7B | Q8 | Fits comfortably | 0.14 tok/sEstimated | 7GB (have 128GB) |
| Qwen/Qwen2.5-7B | Q4 | Fits comfortably | 0.21 tok/sEstimated | 4GB (have 128GB) |
| meta-llama/Meta-Llama-3-8B | Q8 | Fits comfortably | 0.12 tok/sEstimated | 8GB (have 128GB) |
| meta-llama/Meta-Llama-3-8B | Q4 | Fits comfortably | 0.18 tok/sEstimated | 4GB (have 128GB) |
| meta-llama/Llama-3.2-1B | Q8 | Fits comfortably | 0.28 tok/sEstimated | 1GB (have 128GB) |
| meta-llama/Llama-3.2-1B | Q4 | Fits comfortably | 0.41 tok/sEstimated | 1GB (have 128GB) |
| petals-team/StableBeluga2 | Q8 | Fits comfortably | 0.13 tok/sEstimated | 7GB (have 128GB) |
| petals-team/StableBeluga2 | Q4 | Fits comfortably | 0.21 tok/sEstimated | 4GB (have 128GB) |
| vikhyatk/moondream2 | Q8 | Fits comfortably | 0.15 tok/sEstimated | 7GB (have 128GB) |
| vikhyatk/moondream2 | Q4 | Fits comfortably | 0.18 tok/sEstimated | 4GB (have 128GB) |
| meta-llama/Llama-3.2-3B-Instruct | Q8 | Fits comfortably | 0.18 tok/sEstimated | 3GB (have 128GB) |
| meta-llama/Llama-3.2-3B-Instruct | Q4 | Fits comfortably | 0.25 tok/sEstimated | 2GB (have 128GB) |
| RedHatAI/Llama-3.3-70B-Instruct-FP8-dynamic | Q8 | Fits comfortably | 0.05 tok/sEstimated | 70GB (have 128GB) |
| RedHatAI/Llama-3.3-70B-Instruct-FP8-dynamic | Q4 | Fits comfortably | 0.07 tok/sEstimated | 35GB (have 128GB) |
| distilbert/distilgpt2 | Q8 | Fits comfortably | 0.15 tok/sEstimated | 7GB (have 128GB) |
| distilbert/distilgpt2 | Q4 | Fits comfortably | 0.18 tok/sEstimated | 4GB (have 128GB) |
| deepseek-ai/DeepSeek-R1-Distill-Qwen-32B | Q8 | Fits comfortably | 0.07 tok/sEstimated | 32GB (have 128GB) |
| deepseek-ai/DeepSeek-R1-Distill-Qwen-32B | Q4 | Fits comfortably | 0.10 tok/sEstimated | 16GB (have 128GB) |
| inference-net/Schematron-3B | Q8 | Fits comfortably | 0.19 tok/sEstimated | 3GB (have 128GB) |
| inference-net/Schematron-3B | Q4 | Fits comfortably | 0.28 tok/sEstimated | 2GB (have 128GB) |
| Qwen/Qwen3-8B | Q8 | Fits comfortably | 0.14 tok/sEstimated | 8GB (have 128GB) |
| Qwen/Qwen3-8B | Q4 | Fits comfortably | 0.20 tok/sEstimated | 4GB (have 128GB) |
| mistralai/Mistral-7B-Instruct-v0.2 | Q8 | Fits comfortably | 0.14 tok/sEstimated | 7GB (have 128GB) |
| mistralai/Mistral-7B-Instruct-v0.2 | Q4 | Fits comfortably | 0.21 tok/sEstimated | 4GB (have 128GB) |
| context-labs/meta-llama-Llama-3.2-3B-Instruct-FP16 | Q8 | Fits comfortably | 0.17 tok/sEstimated | 3GB (have 128GB) |
| context-labs/meta-llama-Llama-3.2-3B-Instruct-FP16 | Q4 | Fits comfortably | 0.28 tok/sEstimated | 2GB (have 128GB) |
| bigscience/bloomz-560m | Q8 | Fits comfortably | 0.14 tok/sEstimated | 7GB (have 128GB) |
| bigscience/bloomz-560m | Q4 | Fits comfortably | 0.20 tok/sEstimated | 4GB (have 128GB) |
| Qwen/Qwen2.5-3B-Instruct | Q8 | Fits comfortably | 0.18 tok/sEstimated | 3GB (have 128GB) |
| Qwen/Qwen2.5-3B-Instruct | Q4 | Fits comfortably | 0.29 tok/sEstimated | 2GB (have 128GB) |
| openai/gpt-oss-120b | Q8 | Fits comfortably | 0.04 tok/sEstimated | 120GB (have 128GB) |
| openai/gpt-oss-120b | Q4 | Fits comfortably | 0.05 tok/sEstimated | 60GB (have 128GB) |
| meta-llama/Llama-3.2-1B-Instruct | Q8 | Fits comfortably | 0.29 tok/sEstimated | 1GB (have 128GB) |
| meta-llama/Llama-3.2-1B-Instruct | Q4 | Fits comfortably | 0.39 tok/sEstimated | 1GB (have 128GB) |
| Qwen/Qwen3-4B-Instruct-2507 | Q8 | Fits comfortably | 0.16 tok/sEstimated | 4GB (have 128GB) |
| Qwen/Qwen3-4B-Instruct-2507 | Q4 | Fits comfortably | 0.26 tok/sEstimated | 2GB (have 128GB) |
| trl-internal-testing/tiny-Qwen2ForCausalLM-2.5 | Q8 | Fits comfortably | 0.15 tok/sEstimated | 7GB (have 128GB) |
| trl-internal-testing/tiny-Qwen2ForCausalLM-2.5 | Q4 | Fits comfortably | 0.18 tok/sEstimated | 4GB (have 128GB) |
| TinyLlama/TinyLlama-1.1B-Chat-v1.0 | Q8 | Fits comfortably | 0.26 tok/sEstimated | 1GB (have 128GB) |
| TinyLlama/TinyLlama-1.1B-Chat-v1.0 | Q4 | Fits comfortably | 0.36 tok/sEstimated | 1GB (have 128GB) |
| facebook/opt-125m | Q8 | Fits comfortably | 0.13 tok/sEstimated | 7GB (have 128GB) |
| facebook/opt-125m | Q4 | Fits comfortably | 0.20 tok/sEstimated | 4GB (have 128GB) |
| Qwen/Qwen2.5-1.5B-Instruct | Q8 | Fits comfortably | 0.15 tok/sEstimated | 5GB (have 128GB) |
| Qwen/Qwen2.5-1.5B-Instruct | Q4 | Fits comfortably | 0.21 tok/sEstimated | 3GB (have 128GB) |
| Qwen/Qwen3-Embedding-0.6B | Q8 | Fits comfortably | 0.14 tok/sEstimated | 6GB (have 128GB) |
| Qwen/Qwen3-Embedding-0.6B | Q4 | Fits comfortably | 0.21 tok/sEstimated | 3GB (have 128GB) |
| google/gemma-3-1b-it | Q8 | Fits comfortably | 0.29 tok/sEstimated | 1GB (have 128GB) |
| google/gemma-3-1b-it | Q4 | Fits comfortably | 0.36 tok/sEstimated | 1GB (have 128GB) |
| openai/gpt-oss-20b | Q8 | Fits comfortably | 0.10 tok/sEstimated | 20GB (have 128GB) |
| openai/gpt-oss-20b | Q4 | Fits comfortably | 0.14 tok/sEstimated | 10GB (have 128GB) |
| dphn/dolphin-2.9.1-yi-1.5-34b | Q8 | Fits comfortably | 0.08 tok/sEstimated | 34GB (have 128GB) |
| dphn/dolphin-2.9.1-yi-1.5-34b | Q4 | Fits comfortably | 0.11 tok/sEstimated | 17GB (have 128GB) |
| meta-llama/Llama-3.1-8B-Instruct | Q8 | Fits comfortably | 0.14 tok/sEstimated | 8GB (have 128GB) |
| meta-llama/Llama-3.1-8B-Instruct | Q4 | Fits comfortably | 0.20 tok/sEstimated | 4GB (have 128GB) |
| Gensyn/Qwen2.5-0.5B-Instruct | Q8 | Fits comfortably | 0.14 tok/sEstimated | 5GB (have 128GB) |
| Gensyn/Qwen2.5-0.5B-Instruct | Q4 | Fits comfortably | 0.21 tok/sEstimated | 3GB (have 128GB) |
| Qwen/Qwen3-0.6B | Q8 | Fits comfortably | 0.14 tok/sEstimated | 6GB (have 128GB) |
| Qwen/Qwen3-0.6B | Q4 | Fits comfortably | 0.20 tok/sEstimated | 3GB (have 128GB) |
| Qwen/Qwen2.5-7B-Instruct | Q8 | Fits comfortably | 0.13 tok/sEstimated | 7GB (have 128GB) |
| Qwen/Qwen2.5-7B-Instruct | Q4 | Fits comfortably | 0.19 tok/sEstimated | 4GB (have 128GB) |
| openai-community/gpt2 | Q8 | Fits comfortably | 0.13 tok/sEstimated | 7GB (have 128GB) |
| openai-community/gpt2 | Q4 | Fits comfortably | 0.21 tok/sEstimated | 4GB (have 128GB) |
Note: Performance estimates are calculated. Real results may vary. Methodology · Submit real data
Explore how RTX 4060 Ti 16GB stacks up for local inference workloads.
Explore how RX 6800 XT stacks up for local inference workloads.
Explore how RTX 3080 stacks up for local inference workloads.