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Quick Answer: RTX 3060 12GB offers 12GB VRAM and starts around $329.00. It delivers approximately 39 tokens/sec on meta-llama/Llama-Guard-3-1B. It typically draws 170W 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 | 38.83 tok/sEstimated Auto-generated benchmark | 1GB |
| TinyLlama/TinyLlama-1.1B-Chat-v1.0 | Q4 | 38.62 tok/sEstimated Auto-generated benchmark | 1GB |
| apple/OpenELM-1_1B-Instruct | Q4 | 38.13 tok/sEstimated Auto-generated benchmark | 1GB |
| google/gemma-3-1b-it | Q4 | 37.84 tok/sEstimated Auto-generated benchmark | 1GB |
| meta-llama/Llama-3.2-1B-Instruct | Q4 | 37.48 tok/sEstimated Auto-generated benchmark | 1GB |
| unsloth/gemma-3-1b-it | Q4 | 37.36 tok/sEstimated Auto-generated benchmark | 1GB |
| unsloth/Llama-3.2-1B-Instruct | Q4 | 36.80 tok/sEstimated Auto-generated benchmark | 1GB |
| allenai/OLMo-2-0425-1B | Q4 | 33.20 tok/sEstimated Auto-generated benchmark | 1GB |
| meta-llama/Llama-3.2-1B | Q4 | 32.60 tok/sEstimated Auto-generated benchmark | 1GB |
| google/gemma-2-2b-it | Q4 | 30.30 tok/sEstimated Auto-generated benchmark | 1GB |
| google/gemma-2b | Q4 | 29.31 tok/sEstimated Auto-generated benchmark | 1GB |
| LiquidAI/LFM2-1.2B | Q4 | 27.58 tok/sEstimated Auto-generated benchmark | 1GB |
| ibm-granite/granite-3.3-2b-instruct | Q4 | 26.59 tok/sEstimated Auto-generated benchmark | 1GB |
| allenai/OLMo-2-0425-1B | Q8 | 26.52 tok/sEstimated Auto-generated benchmark | 1GB |
| TinyLlama/TinyLlama-1.1B-Chat-v1.0 | Q8 | 26.15 tok/sEstimated Auto-generated benchmark | 1GB |
| google-t5/t5-3b | Q4 | 25.56 tok/sEstimated Auto-generated benchmark | 2GB |
| inference-net/Schematron-3B | Q4 | 25.47 tok/sEstimated Auto-generated benchmark | 2GB |
| unsloth/Llama-3.2-3B-Instruct | Q4 | 25.01 tok/sEstimated Auto-generated benchmark | 2GB |
| meta-llama/Llama-3.2-3B-Instruct | Q4 | 24.63 tok/sEstimated Auto-generated benchmark | 2GB |
| apple/OpenELM-1_1B-Instruct | Q8 | 24.44 tok/sEstimated Auto-generated benchmark | 1GB |
| meta-llama/Llama-Guard-3-1B | Q8 | 24.07 tok/sEstimated Auto-generated benchmark | 1GB |
| bigcode/starcoder2-3b | Q4 | 23.98 tok/sEstimated Auto-generated benchmark | 2GB |
| meta-llama/Llama-3.2-3B | Q4 | 23.73 tok/sEstimated Auto-generated benchmark | 2GB |
| Qwen/Qwen3-4B-Thinking-2507-FP8 | Q4 | 23.67 tok/sEstimated Auto-generated benchmark | 2GB |
| unsloth/gemma-3-1b-it | Q8 | 23.53 tok/sEstimated Auto-generated benchmark | 1GB |
| meta-llama/Llama-3.2-1B | Q8 | 23.50 tok/sEstimated Auto-generated benchmark | 1GB |
| Qwen/Qwen2.5-3B-Instruct | Q4 | 23.47 tok/sEstimated Auto-generated benchmark | 2GB |
| unsloth/Llama-3.2-1B-Instruct | Q8 | 23.47 tok/sEstimated Auto-generated benchmark | 1GB |
| ibm-research/PowerMoE-3b | Q4 | 23.38 tok/sEstimated Auto-generated benchmark | 2GB |
| Qwen/Qwen3-4B-Thinking-2507 | Q4 | 23.35 tok/sEstimated Auto-generated benchmark | 2GB |
| google/gemma-3-1b-it | Q8 | 23.29 tok/sEstimated Auto-generated benchmark | 1GB |
| context-labs/meta-llama-Llama-3.2-3B-Instruct-FP16 | Q4 | 23.25 tok/sEstimated Auto-generated benchmark | 2GB |
| Qwen/Qwen3-4B | Q4 | 23.10 tok/sEstimated Auto-generated benchmark | 2GB |
| meta-llama/Llama-3.2-1B-Instruct | Q8 | 23.09 tok/sEstimated Auto-generated benchmark | 1GB |
| Qwen/Qwen2.5-3B | Q4 | 23.03 tok/sEstimated Auto-generated benchmark | 2GB |
| lmstudio-community/Qwen3-4B-Thinking-2507-MLX-8bit | Q4 | 23.03 tok/sEstimated Auto-generated benchmark | 2GB |
| Qwen/Qwen3-4B-Base | Q4 | 22.94 tok/sEstimated Auto-generated benchmark | 2GB |
| Qwen/Qwen3-Embedding-4B | Q4 | 22.70 tok/sEstimated Auto-generated benchmark | 2GB |
| deepseek-ai/deepseek-coder-1.3b-instruct | Q4 | 22.39 tok/sEstimated Auto-generated benchmark | 2GB |
| lmstudio-community/Qwen3-4B-Thinking-2507-MLX-6bit | Q4 | 22.11 tok/sEstimated Auto-generated benchmark | 2GB |
| Qwen/Qwen2-0.5B-Instruct | Q4 | 21.79 tok/sEstimated Auto-generated benchmark | 3GB |
| Qwen/Qwen2.5-1.5B-Instruct | Q4 | 21.72 tok/sEstimated Auto-generated benchmark | 3GB |
| Qwen/Qwen2.5-0.5B | Q4 | 21.66 tok/sEstimated Auto-generated benchmark | 3GB |
| Qwen/Qwen2-1.5B-Instruct | Q4 | 21.59 tok/sEstimated Auto-generated benchmark | 3GB |
| Qwen/Qwen3-4B-Instruct-2507 | Q4 | 21.56 tok/sEstimated Auto-generated benchmark | 2GB |
| Alibaba-NLP/gte-Qwen2-1.5B-instruct | Q4 | 20.86 tok/sEstimated Auto-generated benchmark | 3GB |
| Qwen/Qwen3-0.6B | Q4 | 20.20 tok/sEstimated Auto-generated benchmark | 3GB |
| kaitchup/Phi-3-mini-4k-instruct-gptq-4bit | Q4 | 20.05 tok/sEstimated Auto-generated benchmark | 2GB |
| microsoft/VibeVoice-1.5B | Q4 | 19.87 tok/sEstimated Auto-generated benchmark | 3GB |
| LiquidAI/LFM2-1.2B | Q8 | 19.77 tok/sEstimated Auto-generated benchmark | 2GB |
| lmstudio-community/Qwen3-4B-Thinking-2507-MLX-4bit | Q4 | 19.74 tok/sEstimated Auto-generated benchmark | 2GB |
| Qwen/Qwen2.5-Math-1.5B | Q4 | 19.74 tok/sEstimated Auto-generated benchmark | 3GB |
| Qwen/Qwen2-0.5B | Q4 | 19.68 tok/sEstimated Auto-generated benchmark | 3GB |
| ibm-granite/granite-3.3-2b-instruct | Q8 | 19.37 tok/sEstimated Auto-generated benchmark | 2GB |
| EleutherAI/pythia-70m-deduped | Q4 | 19.30 tok/sEstimated Auto-generated benchmark | 4GB |
| Qwen/Qwen3-0.6B-Base | Q4 | 19.21 tok/sEstimated Auto-generated benchmark | 3GB |
| google/gemma-2-2b-it | Q8 | 19.11 tok/sEstimated Auto-generated benchmark | 2GB |
| parler-tts/parler-tts-large-v1 | Q4 | 19.07 tok/sEstimated Auto-generated benchmark | 4GB |
| Qwen/Qwen3-Embedding-0.6B | Q4 | 19.05 tok/sEstimated Auto-generated benchmark | 3GB |
| deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B | Q4 | 19.00 tok/sEstimated Auto-generated benchmark | 3GB |
| Gensyn/Qwen2.5-0.5B-Instruct | Q4 | 18.93 tok/sEstimated Auto-generated benchmark | 3GB |
| sshleifer/tiny-gpt2 | Q4 | 18.91 tok/sEstimated Auto-generated benchmark | 4GB |
| HuggingFaceM4/tiny-random-LlamaForCausalLM | Q4 | 18.77 tok/sEstimated Auto-generated benchmark | 4GB |
| deepseek-ai/DeepSeek-R1-Distill-Qwen-7B | Q4 | 18.76 tok/sEstimated Auto-generated benchmark | 4GB |
| facebook/opt-125m | Q4 | 18.71 tok/sEstimated Auto-generated benchmark | 4GB |
| Qwen/Qwen2.5-1.5B | Q4 | 18.70 tok/sEstimated Auto-generated benchmark | 3GB |
| microsoft/Phi-4-mini-instruct | Q4 | 18.48 tok/sEstimated Auto-generated benchmark | 4GB |
| bigscience/bloomz-560m | Q4 | 18.48 tok/sEstimated Auto-generated benchmark | 4GB |
| Qwen/Qwen2.5-0.5B-Instruct | Q4 | 18.42 tok/sEstimated Auto-generated benchmark | 3GB |
| zai-org/GLM-4.6-FP8 | Q4 | 18.41 tok/sEstimated Auto-generated benchmark | 4GB |
| dicta-il/dictalm2.0-instruct | Q4 | 18.35 tok/sEstimated Auto-generated benchmark | 4GB |
| mistralai/Mistral-7B-Instruct-v0.1 | Q4 | 18.34 tok/sEstimated Auto-generated benchmark | 4GB |
| swiss-ai/Apertus-8B-Instruct-2509 | Q4 | 18.31 tok/sEstimated Auto-generated benchmark | 4GB |
| unsloth/Meta-Llama-3.1-8B-Instruct | Q4 | 18.31 tok/sEstimated Auto-generated benchmark | 4GB |
| trl-internal-testing/tiny-random-LlamaForCausalLM | Q4 | 18.30 tok/sEstimated Auto-generated benchmark | 4GB |
| deepseek-ai/DeepSeek-R1-Distill-Llama-8B | Q4 | 18.29 tok/sEstimated Auto-generated benchmark | 4GB |
| NousResearch/Meta-Llama-3.1-8B-Instruct | Q4 | 18.27 tok/sEstimated Auto-generated benchmark | 4GB |
| rinna/japanese-gpt-neox-small | Q4 | 18.24 tok/sEstimated Auto-generated benchmark | 4GB |
| Qwen/Qwen3-8B-Base | Q4 | 18.16 tok/sEstimated Auto-generated benchmark | 4GB |
| rednote-hilab/dots.ocr | Q4 | 18.15 tok/sEstimated Auto-generated benchmark | 4GB |
| deepseek-ai/DeepSeek-Coder-V2-Lite-Instruct | Q4 | 18.14 tok/sEstimated Auto-generated benchmark | 4GB |
| Qwen/Qwen2.5-7B | Q4 | 18.12 tok/sEstimated Auto-generated benchmark | 4GB |
| inference-net/Schematron-3B | Q8 | 18.08 tok/sEstimated Auto-generated benchmark | 3GB |
| GSAI-ML/LLaDA-8B-Instruct | Q4 | 18.06 tok/sEstimated Auto-generated benchmark | 4GB |
| Qwen/Qwen2.5-Coder-1.5B | Q4 | 18.05 tok/sEstimated Auto-generated benchmark | 3GB |
| distilbert/distilgpt2 | Q4 | 18.05 tok/sEstimated Auto-generated benchmark | 4GB |
| openai-community/gpt2-xl | Q4 | 18.02 tok/sEstimated Auto-generated benchmark | 4GB |
| microsoft/DialoGPT-medium | Q4 | 18.00 tok/sEstimated Auto-generated benchmark | 4GB |
| trl-internal-testing/tiny-LlamaForCausalLM-3.2 | Q4 | 17.86 tok/sEstimated Auto-generated benchmark | 4GB |
| llamafactory/tiny-random-Llama-3 | Q4 | 17.84 tok/sEstimated Auto-generated benchmark | 4GB |
| ibm-granite/granite-3.3-8b-instruct | Q4 | 17.83 tok/sEstimated Auto-generated benchmark | 4GB |
| meta-llama/Llama-Guard-3-8B | Q4 | 17.77 tok/sEstimated Auto-generated benchmark | 4GB |
| microsoft/Phi-3-mini-4k-instruct | Q4 | 17.75 tok/sEstimated Auto-generated benchmark | 4GB |
| openai-community/gpt2-medium | Q4 | 17.75 tok/sEstimated Auto-generated benchmark | 4GB |
| microsoft/Phi-3.5-mini-instruct | Q4 | 17.74 tok/sEstimated Auto-generated benchmark | 4GB |
| microsoft/Phi-3-mini-128k-instruct | Q4 | 17.73 tok/sEstimated Auto-generated benchmark | 4GB |
| google/gemma-2b | Q8 | 17.65 tok/sEstimated Auto-generated benchmark | 2GB |
| EleutherAI/gpt-neo-125m | Q4 | 17.65 tok/sEstimated Auto-generated benchmark | 4GB |
| unsloth/Llama-3.2-3B-Instruct | Q8 | 17.62 tok/sEstimated Auto-generated benchmark | 3GB |
| unsloth/mistral-7b-v0.3-bnb-4bit | Q4 | 17.57 tok/sEstimated Auto-generated benchmark | 4GB |
| HuggingFaceTB/SmolLM-135M | Q4 | 17.55 tok/sEstimated Auto-generated benchmark | 4GB |
| liuhaotian/llava-v1.5-7b | Q4 | 17.51 tok/sEstimated Auto-generated benchmark | 4GB |
| meta-llama/Llama-3.2-3B | Q8 | 17.50 tok/sEstimated Auto-generated benchmark | 3GB |
| Qwen/Qwen3-Reranker-0.6B | Q4 | 17.47 tok/sEstimated Auto-generated benchmark | 3GB |
| bigcode/starcoder2-3b | Q8 | 17.44 tok/sEstimated Auto-generated benchmark | 3GB |
| deepseek-ai/DeepSeek-R1-0528 | Q4 | 17.44 tok/sEstimated Auto-generated benchmark | 4GB |
| vikhyatk/moondream2 | Q4 | 17.39 tok/sEstimated Auto-generated benchmark | 4GB |
| microsoft/phi-4 | Q4 | 17.36 tok/sEstimated Auto-generated benchmark | 4GB |
| huggyllama/llama-7b | Q4 | 17.35 tok/sEstimated Auto-generated benchmark | 4GB |
| meta-llama/Llama-3.1-8B | Q4 | 17.33 tok/sEstimated Auto-generated benchmark | 4GB |
| trl-internal-testing/tiny-Qwen2ForCausalLM-2.5 | Q4 | 17.28 tok/sEstimated Auto-generated benchmark | 4GB |
| openai-community/gpt2 | Q4 | 17.15 tok/sEstimated Auto-generated benchmark | 4GB |
| lmstudio-community/DeepSeek-R1-0528-Qwen3-8B-MLX-4bit | Q4 | 17.15 tok/sEstimated Auto-generated benchmark | 4GB |
| HuggingFaceH4/zephyr-7b-beta | Q4 | 16.98 tok/sEstimated Auto-generated benchmark | 4GB |
| microsoft/phi-2 | Q4 | 16.96 tok/sEstimated Auto-generated benchmark | 4GB |
| ibm-granite/granite-docling-258M | Q4 | 16.95 tok/sEstimated Auto-generated benchmark | 4GB |
| Qwen/Qwen2.5-3B | Q8 | 16.93 tok/sEstimated Auto-generated benchmark | 3GB |
| Qwen/Qwen3-1.7B-Base | Q4 | 16.89 tok/sEstimated Auto-generated benchmark | 4GB |
| google/gemma-3-270m-it | Q4 | 16.87 tok/sEstimated Auto-generated benchmark | 4GB |
| petals-team/StableBeluga2 | Q4 | 16.84 tok/sEstimated Auto-generated benchmark | 4GB |
| meta-llama/Llama-2-7b-hf | Q4 | 16.80 tok/sEstimated Auto-generated benchmark | 4GB |
| meta-llama/Llama-2-7b-chat-hf | Q4 | 16.69 tok/sEstimated Auto-generated benchmark | 4GB |
| GSAI-ML/LLaDA-8B-Base | Q4 | 16.68 tok/sEstimated Auto-generated benchmark | 4GB |
| deepseek-ai/DeepSeek-V3 | Q4 | 16.66 tok/sEstimated Auto-generated benchmark | 4GB |
| skt/kogpt2-base-v2 | Q4 | 16.59 tok/sEstimated Auto-generated benchmark | 4GB |
| Qwen/Qwen2-7B-Instruct | Q4 | 16.59 tok/sEstimated Auto-generated benchmark | 4GB |
| microsoft/Phi-3.5-vision-instruct | Q4 | 16.58 tok/sEstimated Auto-generated benchmark | 4GB |
| openai-community/gpt2-large | Q4 | 16.53 tok/sEstimated Auto-generated benchmark | 4GB |
| deepseek-ai/DeepSeek-V3-0324 | Q4 | 16.51 tok/sEstimated Auto-generated benchmark | 4GB |
| Qwen/Qwen3-4B | Q8 | 16.47 tok/sEstimated Auto-generated benchmark | 4GB |
| lmstudio-community/Qwen3-4B-Thinking-2507-MLX-6bit | Q8 | 16.39 tok/sEstimated Auto-generated benchmark | 4GB |
| context-labs/meta-llama-Llama-3.2-3B-Instruct-FP16 | Q8 | 16.36 tok/sEstimated Auto-generated benchmark | 3GB |
| deepseek-ai/DeepSeek-R1 | Q4 | 16.34 tok/sEstimated Auto-generated benchmark | 4GB |
| mistralai/Mistral-7B-Instruct-v0.2 | Q4 | 16.34 tok/sEstimated Auto-generated benchmark | 4GB |
| meta-llama/Meta-Llama-3-8B-Instruct | Q4 | 16.32 tok/sEstimated Auto-generated benchmark | 4GB |
| nvidia/NVIDIA-Nemotron-Nano-9B-v2 | Q4 | 16.28 tok/sEstimated Auto-generated benchmark | 5GB |
| Qwen/Qwen3-Embedding-8B | Q4 | 16.25 tok/sEstimated Auto-generated benchmark | 4GB |
| google-t5/t5-3b | Q8 | 16.25 tok/sEstimated Auto-generated benchmark | 3GB |
| Qwen/Qwen3-1.7B | Q4 | 16.23 tok/sEstimated Auto-generated benchmark | 4GB |
| hmellor/tiny-random-LlamaForCausalLM | Q4 | 16.22 tok/sEstimated Auto-generated benchmark | 4GB |
| Qwen/Qwen3-Embedding-4B | Q8 | 16.20 tok/sEstimated Auto-generated benchmark | 4GB |
| HuggingFaceTB/SmolLM2-135M | Q4 | 16.12 tok/sEstimated Auto-generated benchmark | 4GB |
| zai-org/GLM-4.5-Air | Q4 | 16.12 tok/sEstimated Auto-generated benchmark | 4GB |
| Qwen/Qwen2.5-7B-Instruct | Q4 | 16.10 tok/sEstimated Auto-generated benchmark | 4GB |
| lmsys/vicuna-7b-v1.5 | Q4 | 16.10 tok/sEstimated Auto-generated benchmark | 4GB |
| Qwen/Qwen2.5-Coder-7B-Instruct | Q4 | 16.09 tok/sEstimated Auto-generated benchmark | 4GB |
| Qwen/Qwen2.5-3B-Instruct | Q8 | 16.07 tok/sEstimated Auto-generated benchmark | 3GB |
| microsoft/Phi-4-multimodal-instruct | Q4 | 16.03 tok/sEstimated Auto-generated benchmark | 4GB |
| MiniMaxAI/MiniMax-M2 | Q4 | 16.03 tok/sEstimated Auto-generated benchmark | 4GB |
| BSC-LT/salamandraTA-7b-instruct | Q4 | 16.01 tok/sEstimated Auto-generated benchmark | 4GB |
| numind/NuExtract-1.5 | Q4 | 15.98 tok/sEstimated Auto-generated benchmark | 4GB |
| microsoft/DialoGPT-small | Q4 | 15.93 tok/sEstimated Auto-generated benchmark | 4GB |
| lmstudio-community/Qwen3-4B-Thinking-2507-MLX-4bit | Q8 | 15.92 tok/sEstimated Auto-generated benchmark | 4GB |
| mistralai/Mistral-7B-v0.1 | Q4 | 15.84 tok/sEstimated Auto-generated benchmark | 4GB |
| deepseek-ai/DeepSeek-V3.1 | Q4 | 15.82 tok/sEstimated Auto-generated benchmark | 4GB |
| unsloth/Meta-Llama-3.1-8B-Instruct-bnb-4bit | Q4 | 15.81 tok/sEstimated Auto-generated benchmark | 4GB |
| ibm-research/PowerMoE-3b | Q8 | 15.69 tok/sEstimated Auto-generated benchmark | 3GB |
| kaitchup/Phi-3-mini-4k-instruct-gptq-4bit | Q8 | 15.65 tok/sEstimated Auto-generated benchmark | 4GB |
| meta-llama/Llama-3.2-3B-Instruct | Q8 | 15.59 tok/sEstimated Auto-generated benchmark | 3GB |
| meta-llama/Meta-Llama-3-8B | Q4 | 15.58 tok/sEstimated Auto-generated benchmark | 4GB |
| Qwen/Qwen3-8B | Q4 | 15.57 tok/sEstimated Auto-generated benchmark | 4GB |
| deepseek-ai/deepseek-coder-1.3b-instruct | Q8 | 15.49 tok/sEstimated Auto-generated benchmark | 3GB |
| meta-llama/Llama-3.1-8B-Instruct | Q4 | 15.38 tok/sEstimated Auto-generated benchmark | 4GB |
| IlyaGusev/saiga_llama3_8b | Q4 | 15.38 tok/sEstimated Auto-generated benchmark | 4GB |
| lmstudio-community/DeepSeek-R1-0528-Qwen3-8B-MLX-8bit | Q4 | 15.27 tok/sEstimated Auto-generated benchmark | 4GB |
| Qwen/Qwen3-8B-FP8 | Q4 | 15.13 tok/sEstimated Auto-generated benchmark | 4GB |
| microsoft/VibeVoice-1.5B | Q8 | 15.12 tok/sEstimated Auto-generated benchmark | 5GB |
| ai-forever/ruGPT-3.5-13B | Q4 | 14.86 tok/sEstimated Auto-generated benchmark | 7GB |
| deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B | Q8 | 14.70 tok/sEstimated Auto-generated benchmark | 5GB |
| Qwen/Qwen2.5-Math-1.5B | Q8 | 14.48 tok/sEstimated Auto-generated benchmark | 5GB |
| Qwen/Qwen2.5-1.5B-Instruct | Q8 | 14.45 tok/sEstimated Auto-generated benchmark | 5GB |
| OpenPipe/Qwen3-14B-Instruct | Q4 | 14.38 tok/sEstimated Auto-generated benchmark | 7GB |
| Qwen/Qwen3-4B-Base | Q8 | 14.38 tok/sEstimated Auto-generated benchmark | 4GB |
| Qwen/Qwen2-1.5B-Instruct | Q8 | 14.36 tok/sEstimated Auto-generated benchmark | 5GB |
| Qwen/Qwen3-4B-Thinking-2507 | Q8 | 14.35 tok/sEstimated Auto-generated benchmark | 4GB |
| Qwen/Qwen3-14B | Q4 | 14.35 tok/sEstimated Auto-generated benchmark | 7GB |
| Qwen/Qwen3-4B-Instruct-2507 | Q8 | 14.28 tok/sEstimated Auto-generated benchmark | 4GB |
| lmstudio-community/Qwen3-4B-Thinking-2507-MLX-8bit | Q8 | 14.19 tok/sEstimated Auto-generated benchmark | 4GB |
| Qwen/Qwen3-4B-Thinking-2507-FP8 | Q8 | 14.15 tok/sEstimated Auto-generated benchmark | 4GB |
| Qwen/Qwen2-0.5B-Instruct | Q8 | 13.91 tok/sEstimated Auto-generated benchmark | 5GB |
| Qwen/Qwen3-14B-Base | Q4 | 13.87 tok/sEstimated Auto-generated benchmark | 7GB |
| Qwen/Qwen2.5-14B | Q4 | 13.74 tok/sEstimated Auto-generated benchmark | 7GB |
| Qwen/Qwen2.5-0.5B | Q8 | 13.54 tok/sEstimated Auto-generated benchmark | 5GB |
| distilbert/distilgpt2 | Q8 | 13.49 tok/sEstimated Auto-generated benchmark | 7GB |
| EleutherAI/gpt-neo-125m | Q8 | 13.47 tok/sEstimated Auto-generated benchmark | 7GB |
| microsoft/DialoGPT-small | Q8 | 13.44 tok/sEstimated Auto-generated benchmark | 7GB |
| google/gemma-3-270m-it | Q8 | 13.40 tok/sEstimated Auto-generated benchmark | 7GB |
| EleutherAI/pythia-70m-deduped | Q8 | 13.33 tok/sEstimated Auto-generated benchmark | 7GB |
| openai-community/gpt2-medium | Q8 | 13.29 tok/sEstimated Auto-generated benchmark | 7GB |
| ibm-granite/granite-docling-258M | Q8 | 13.28 tok/sEstimated Auto-generated benchmark | 7GB |
| openai-community/gpt2-xl | Q8 | 13.26 tok/sEstimated Auto-generated benchmark | 7GB |
| meta-llama/Llama-2-13b-chat-hf | Q4 | 13.23 tok/sEstimated Auto-generated benchmark | 7GB |
| MiniMaxAI/MiniMax-M2 | Q8 | 13.22 tok/sEstimated Auto-generated benchmark | 7GB |
| trl-internal-testing/tiny-LlamaForCausalLM-3.2 | Q8 | 13.22 tok/sEstimated Auto-generated benchmark | 7GB |
| lmsys/vicuna-7b-v1.5 | Q8 | 13.21 tok/sEstimated Auto-generated benchmark | 7GB |
| Qwen/Qwen2-0.5B | Q8 | 13.20 tok/sEstimated Auto-generated benchmark | 5GB |
| microsoft/Phi-3.5-vision-instruct | Q8 | 13.16 tok/sEstimated Auto-generated benchmark | 7GB |
| vikhyatk/moondream2 | Q8 | 13.15 tok/sEstimated Auto-generated benchmark | 7GB |
| skt/kogpt2-base-v2 | Q8 | 13.13 tok/sEstimated Auto-generated benchmark | 7GB |
| Qwen/Qwen2.5-14B-Instruct | Q4 | 13.12 tok/sEstimated Auto-generated benchmark | 7GB |
| Qwen/Qwen2.5-Coder-1.5B | Q8 | 13.12 tok/sEstimated Auto-generated benchmark | 5GB |
| microsoft/Phi-4-multimodal-instruct | Q8 | 13.12 tok/sEstimated Auto-generated benchmark | 7GB |
| microsoft/Phi-3-mini-128k-instruct | Q8 | 13.09 tok/sEstimated Auto-generated benchmark | 7GB |
| HuggingFaceM4/tiny-random-LlamaForCausalLM | Q8 | 13.06 tok/sEstimated Auto-generated benchmark | 7GB |
| Alibaba-NLP/gte-Qwen2-1.5B-instruct | Q8 | 13.05 tok/sEstimated Auto-generated benchmark | 5GB |
| Qwen/Qwen2.5-1.5B | Q8 | 13.02 tok/sEstimated Auto-generated benchmark | 5GB |
| meta-llama/Llama-2-7b-hf | Q8 | 12.98 tok/sEstimated Auto-generated benchmark | 7GB |
| deepseek-ai/DeepSeek-R1 | Q8 | 12.98 tok/sEstimated Auto-generated benchmark | 7GB |
| Qwen/Qwen2.5-0.5B-Instruct | Q8 | 12.95 tok/sEstimated Auto-generated benchmark | 5GB |
| Qwen/Qwen2-7B-Instruct | Q8 | 12.90 tok/sEstimated Auto-generated benchmark | 7GB |
| huggyllama/llama-7b | Q8 | 12.87 tok/sEstimated Auto-generated benchmark | 7GB |
| mistralai/Mistral-7B-v0.1 | Q8 | 12.82 tok/sEstimated Auto-generated benchmark | 7GB |
| Qwen/Qwen3-8B | Q8 | 12.80 tok/sEstimated Auto-generated benchmark | 8GB |
| Qwen/Qwen3-0.6B | Q8 | 12.78 tok/sEstimated Auto-generated benchmark | 6GB |
| trl-internal-testing/tiny-Qwen2ForCausalLM-2.5 | Q8 | 12.75 tok/sEstimated Auto-generated benchmark | 7GB |
| trl-internal-testing/tiny-random-LlamaForCausalLM | Q8 | 12.75 tok/sEstimated Auto-generated benchmark | 7GB |
| Gensyn/Qwen2.5-0.5B-Instruct | Q8 | 12.73 tok/sEstimated Auto-generated benchmark | 5GB |
| zai-org/GLM-4.5-Air | Q8 | 12.70 tok/sEstimated Auto-generated benchmark | 7GB |
| HuggingFaceTB/SmolLM2-135M | Q8 | 12.68 tok/sEstimated Auto-generated benchmark | 7GB |
| deepseek-ai/DeepSeek-V3 | Q8 | 12.64 tok/sEstimated Auto-generated benchmark | 7GB |
| hmellor/tiny-random-LlamaForCausalLM | Q8 | 12.56 tok/sEstimated Auto-generated benchmark | 7GB |
| dicta-il/dictalm2.0-instruct | Q8 | 12.54 tok/sEstimated Auto-generated benchmark | 7GB |
| Qwen/Qwen3-1.7B-Base | Q8 | 12.51 tok/sEstimated Auto-generated benchmark | 7GB |
| deepseek-ai/DeepSeek-R1-Distill-Qwen-7B | Q8 | 12.42 tok/sEstimated Auto-generated benchmark | 7GB |
| Qwen/Qwen3-8B-Base | Q8 | 12.39 tok/sEstimated Auto-generated benchmark | 8GB |
| microsoft/phi-2 | Q8 | 12.39 tok/sEstimated Auto-generated benchmark | 7GB |
| parler-tts/parler-tts-large-v1 | Q8 | 12.31 tok/sEstimated Auto-generated benchmark | 7GB |
| microsoft/Phi-3-mini-4k-instruct | Q8 | 12.30 tok/sEstimated Auto-generated benchmark | 7GB |
| rednote-hilab/dots.ocr | Q8 | 12.27 tok/sEstimated Auto-generated benchmark | 7GB |
| Qwen/Qwen3-Embedding-8B | Q8 | 12.22 tok/sEstimated Auto-generated benchmark | 8GB |
| llamafactory/tiny-random-Llama-3 | Q8 | 12.18 tok/sEstimated Auto-generated benchmark | 7GB |
| swiss-ai/Apertus-8B-Instruct-2509 | Q8 | 12.18 tok/sEstimated Auto-generated benchmark | 8GB |
| meta-llama/Llama-2-7b-chat-hf | Q8 | 12.16 tok/sEstimated Auto-generated benchmark | 7GB |
| deepseek-ai/DeepSeek-R1-Distill-Llama-8B | Q8 | 12.16 tok/sEstimated Auto-generated benchmark | 8GB |
| unsloth/Meta-Llama-3.1-8B-Instruct-bnb-4bit | Q8 | 12.14 tok/sEstimated Auto-generated benchmark | 8GB |
| mistralai/Mistral-7B-Instruct-v0.1 | Q8 | 12.13 tok/sEstimated Auto-generated benchmark | 7GB |
| nvidia/NVIDIA-Nemotron-Nano-9B-v2 | Q8 | 12.11 tok/sEstimated Auto-generated benchmark | 9GB |
| Qwen/Qwen3-0.6B-Base | Q8 | 12.10 tok/sEstimated Auto-generated benchmark | 6GB |
| unsloth/mistral-7b-v0.3-bnb-4bit | Q8 | 12.09 tok/sEstimated Auto-generated benchmark | 7GB |
| Qwen/Qwen3-1.7B | Q8 | 12.08 tok/sEstimated Auto-generated benchmark | 7GB |
| openai-community/gpt2 | Q8 | 12.05 tok/sEstimated Auto-generated benchmark | 7GB |
| HuggingFaceH4/zephyr-7b-beta | Q8 | 12.02 tok/sEstimated Auto-generated benchmark | 7GB |
| mlx-community/gpt-oss-20b-MXFP4-Q8 | Q4 | 12.02 tok/sEstimated Auto-generated benchmark | 10GB |
| meta-llama/Meta-Llama-3-8B | Q8 | 11.97 tok/sEstimated Auto-generated benchmark | 8GB |
| BSC-LT/salamandraTA-7b-instruct | Q8 | 11.93 tok/sEstimated Auto-generated benchmark | 7GB |
| unsloth/gpt-oss-20b-BF16 | Q4 | 11.93 tok/sEstimated Auto-generated benchmark | 10GB |
| meta-llama/Llama-Guard-3-8B | Q8 | 11.91 tok/sEstimated Auto-generated benchmark | 8GB |
| facebook/opt-125m | Q8 | 11.90 tok/sEstimated Auto-generated benchmark | 7GB |
| openai-community/gpt2-large | Q8 | 11.88 tok/sEstimated Auto-generated benchmark | 7GB |
| bigscience/bloomz-560m | Q8 | 11.87 tok/sEstimated Auto-generated benchmark | 7GB |
| microsoft/Phi-3.5-mini-instruct | Q8 | 11.84 tok/sEstimated Auto-generated benchmark | 7GB |
| Qwen/Qwen2.5-7B | Q8 | 11.83 tok/sEstimated Auto-generated benchmark | 7GB |
| Qwen/Qwen3-Embedding-0.6B | Q8 | 11.79 tok/sEstimated Auto-generated benchmark | 6GB |
| petals-team/StableBeluga2 | Q8 | 11.77 tok/sEstimated Auto-generated benchmark | 7GB |
| Qwen/Qwen3-Reranker-0.6B | Q8 | 11.75 tok/sEstimated Auto-generated benchmark | 6GB |
| deepseek-ai/DeepSeek-R1-0528 | Q8 | 11.72 tok/sEstimated Auto-generated benchmark | 7GB |
| sshleifer/tiny-gpt2 | Q8 | 11.70 tok/sEstimated Auto-generated benchmark | 7GB |
| NousResearch/Meta-Llama-3.1-8B-Instruct | Q8 | 11.65 tok/sEstimated Auto-generated benchmark | 8GB |
| mistralai/Mistral-7B-Instruct-v0.2 | Q8 | 11.64 tok/sEstimated Auto-generated benchmark | 7GB |
| meta-llama/Llama-3.1-8B-Instruct | Q8 | 11.61 tok/sEstimated Auto-generated benchmark | 8GB |
| deepseek-ai/DeepSeek-V3.1 | Q8 | 11.61 tok/sEstimated Auto-generated benchmark | 7GB |
| deepseek-ai/DeepSeek-Coder-V2-Lite-Instruct | Q8 | 11.61 tok/sEstimated Auto-generated benchmark | 7GB |
| microsoft/DialoGPT-medium | Q8 | 11.60 tok/sEstimated Auto-generated benchmark | 7GB |
| meta-llama/Meta-Llama-3-8B-Instruct | Q8 | 11.55 tok/sEstimated Auto-generated benchmark | 8GB |
| microsoft/phi-4 | Q8 | 11.50 tok/sEstimated Auto-generated benchmark | 7GB |
| HuggingFaceTB/SmolLM-135M | Q8 | 11.48 tok/sEstimated Auto-generated benchmark | 7GB |
| microsoft/Phi-4-mini-instruct | Q8 | 11.38 tok/sEstimated Auto-generated benchmark | 7GB |
| unsloth/Meta-Llama-3.1-8B-Instruct | Q8 | 11.36 tok/sEstimated Auto-generated benchmark | 8GB |
| deepseek-ai/DeepSeek-V3-0324 | Q8 | 11.35 tok/sEstimated Auto-generated benchmark | 7GB |
| liuhaotian/llava-v1.5-7b | Q8 | 11.33 tok/sEstimated Auto-generated benchmark | 7GB |
| lmstudio-community/DeepSeek-R1-0528-Qwen3-8B-MLX-8bit | Q8 | 11.32 tok/sEstimated Auto-generated benchmark | 8GB |
| lmstudio-community/DeepSeek-R1-0528-Qwen3-8B-MLX-4bit | Q8 | 11.29 tok/sEstimated Auto-generated benchmark | 8GB |
| meta-llama/Llama-3.1-8B | Q8 | 11.28 tok/sEstimated Auto-generated benchmark | 8GB |
| rinna/japanese-gpt-neox-small | Q8 | 11.25 tok/sEstimated Auto-generated benchmark | 7GB |
| Qwen/Qwen2.5-7B-Instruct | Q8 | 11.25 tok/sEstimated Auto-generated benchmark | 7GB |
| numind/NuExtract-1.5 | Q8 | 11.25 tok/sEstimated Auto-generated benchmark | 7GB |
| zai-org/GLM-4.6-FP8 | Q8 | 11.17 tok/sEstimated Auto-generated benchmark | 7GB |
| Qwen/Qwen2.5-Coder-7B-Instruct | Q8 | 11.08 tok/sEstimated Auto-generated benchmark | 7GB |
| unsloth/gpt-oss-20b-unsloth-bnb-4bit | Q4 | 11.00 tok/sEstimated Auto-generated benchmark | 10GB |
| IlyaGusev/saiga_llama3_8b | Q8 | 10.90 tok/sEstimated Auto-generated benchmark | 8GB |
| openai/gpt-oss-20b | Q4 | 10.87 tok/sEstimated Auto-generated benchmark | 10GB |
| GSAI-ML/LLaDA-8B-Instruct | Q8 | 10.87 tok/sEstimated Auto-generated benchmark | 8GB |
| Qwen/Qwen3-8B-FP8 | Q8 | 10.71 tok/sEstimated Auto-generated benchmark | 8GB |
| GSAI-ML/LLaDA-8B-Base | Q8 | 10.71 tok/sEstimated Auto-generated benchmark | 8GB |
| ibm-granite/granite-3.3-8b-instruct | Q8 | 10.61 tok/sEstimated Auto-generated benchmark | 8GB |
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 | Not supported | — | 80GB (have 12GB) |
| Qwen/Qwen3-Next-80B-A3B-Instruct-FP8 | Q4 | Not supported | — | 40GB (have 12GB) |
| ai-forever/ruGPT-3.5-13B | Q8 | Not supported | — | 13GB (have 12GB) |
| ai-forever/ruGPT-3.5-13B | Q4 | Fits comfortably | 14.86 tok/sEstimated | 7GB (have 12GB) |
| baichuan-inc/Baichuan-M2-32B | Q8 | Not supported | — | 32GB (have 12GB) |
| baichuan-inc/Baichuan-M2-32B | Q4 | Not supported | — | 16GB (have 12GB) |
| HuggingFaceM4/tiny-random-LlamaForCausalLM | Q8 | Fits comfortably | 13.06 tok/sEstimated | 7GB (have 12GB) |
| HuggingFaceM4/tiny-random-LlamaForCausalLM | Q4 | Fits comfortably | 18.77 tok/sEstimated | 4GB (have 12GB) |
| ibm-granite/granite-3.3-8b-instruct | Q8 | Fits comfortably | 10.61 tok/sEstimated | 8GB (have 12GB) |
| ibm-granite/granite-3.3-8b-instruct | Q4 | Fits comfortably | 17.83 tok/sEstimated | 4GB (have 12GB) |
| Qwen/Qwen3-1.7B-Base | Q8 | Fits comfortably | 12.51 tok/sEstimated | 7GB (have 12GB) |
| Qwen/Qwen3-1.7B-Base | Q4 | Fits comfortably | 16.89 tok/sEstimated | 4GB (have 12GB) |
| unsloth/gpt-oss-20b-unsloth-bnb-4bit | Q8 | Not supported | — | 20GB (have 12GB) |
| unsloth/gpt-oss-20b-unsloth-bnb-4bit | Q4 | Fits comfortably | 11.00 tok/sEstimated | 10GB (have 12GB) |
| BSC-LT/salamandraTA-7b-instruct | Q8 | Fits comfortably | 11.93 tok/sEstimated | 7GB (have 12GB) |
| BSC-LT/salamandraTA-7b-instruct | Q4 | Fits comfortably | 16.01 tok/sEstimated | 4GB (have 12GB) |
| dicta-il/dictalm2.0-instruct | Q8 | Fits comfortably | 12.54 tok/sEstimated | 7GB (have 12GB) |
| dicta-il/dictalm2.0-instruct | Q4 | Fits comfortably | 18.35 tok/sEstimated | 4GB (have 12GB) |
| lmstudio-community/Qwen3-Coder-30B-A3B-Instruct-MLX-6bit | Q8 | Not supported | — | 30GB (have 12GB) |
| lmstudio-community/Qwen3-Coder-30B-A3B-Instruct-MLX-6bit | Q4 | Not supported | — | 15GB (have 12GB) |
| GSAI-ML/LLaDA-8B-Base | Q8 | Fits comfortably | 10.71 tok/sEstimated | 8GB (have 12GB) |
| GSAI-ML/LLaDA-8B-Base | Q4 | Fits comfortably | 16.68 tok/sEstimated | 4GB (have 12GB) |
| lmstudio-community/Qwen3-Coder-30B-A3B-Instruct-MLX-8bit | Q8 | Not supported | — | 30GB (have 12GB) |
| lmstudio-community/Qwen3-Coder-30B-A3B-Instruct-MLX-8bit | Q4 | Not supported | — | 15GB (have 12GB) |
| Qwen/Qwen2-0.5B-Instruct | Q8 | Fits comfortably | 13.91 tok/sEstimated | 5GB (have 12GB) |
| Qwen/Qwen2-0.5B-Instruct | Q4 | Fits comfortably | 21.79 tok/sEstimated | 3GB (have 12GB) |
| deepseek-ai/DeepSeek-V3 | Q8 | Fits comfortably | 12.64 tok/sEstimated | 7GB (have 12GB) |
| deepseek-ai/DeepSeek-V3 | Q4 | Fits comfortably | 16.66 tok/sEstimated | 4GB (have 12GB) |
| Alibaba-NLP/gte-Qwen2-1.5B-instruct | Q8 | Fits comfortably | 13.05 tok/sEstimated | 5GB (have 12GB) |
| Alibaba-NLP/gte-Qwen2-1.5B-instruct | Q4 | Fits comfortably | 20.86 tok/sEstimated | 3GB (have 12GB) |
| lmstudio-community/Qwen3-Coder-30B-A3B-Instruct-MLX-5bit | Q8 | Not supported | — | 30GB (have 12GB) |
| lmstudio-community/Qwen3-Coder-30B-A3B-Instruct-MLX-5bit | Q4 | Not supported | — | 15GB (have 12GB) |
| Qwen/Qwen3-30B-A3B-Thinking-2507 | Q8 | Not supported | — | 30GB (have 12GB) |
| Qwen/Qwen3-30B-A3B-Thinking-2507 | Q4 | Not supported | — | 15GB (have 12GB) |
| lmstudio-community/Qwen3-Coder-30B-A3B-Instruct-MLX-4bit | Q8 | Not supported | — | 30GB (have 12GB) |
| lmstudio-community/Qwen3-Coder-30B-A3B-Instruct-MLX-4bit | Q4 | Not supported | — | 15GB (have 12GB) |
| AI-MO/Kimina-Prover-72B | Q8 | Not supported | — | 72GB (have 12GB) |
| AI-MO/Kimina-Prover-72B | Q4 | Not supported | — | 36GB (have 12GB) |
| apple/OpenELM-1_1B-Instruct | Q8 | Fits comfortably | 24.44 tok/sEstimated | 1GB (have 12GB) |
| apple/OpenELM-1_1B-Instruct | Q4 | Fits comfortably | 38.13 tok/sEstimated | 1GB (have 12GB) |
| NousResearch/Meta-Llama-3.1-8B-Instruct | Q8 | Fits comfortably | 11.65 tok/sEstimated | 8GB (have 12GB) |
| NousResearch/Meta-Llama-3.1-8B-Instruct | Q4 | Fits comfortably | 18.27 tok/sEstimated | 4GB (have 12GB) |
| nvidia/NVIDIA-Nemotron-Nano-9B-v2 | Q8 | Fits comfortably | 12.11 tok/sEstimated | 9GB (have 12GB) |
| nvidia/NVIDIA-Nemotron-Nano-9B-v2 | Q4 | Fits comfortably | 16.28 tok/sEstimated | 5GB (have 12GB) |
| Qwen/Qwen2.5-3B | Q8 | Fits comfortably | 16.93 tok/sEstimated | 3GB (have 12GB) |
| Qwen/Qwen2.5-3B | Q4 | Fits comfortably | 23.03 tok/sEstimated | 2GB (have 12GB) |
| lmsys/vicuna-7b-v1.5 | Q8 | Fits comfortably | 13.21 tok/sEstimated | 7GB (have 12GB) |
| lmsys/vicuna-7b-v1.5 | Q4 | Fits comfortably | 16.10 tok/sEstimated | 4GB (have 12GB) |
| meta-llama/Llama-2-13b-chat-hf | Q8 | Not supported | — | 13GB (have 12GB) |
| meta-llama/Llama-2-13b-chat-hf | Q4 | Fits comfortably | 13.23 tok/sEstimated | 7GB (have 12GB) |
| Qwen/Qwen3-Next-80B-A3B-Thinking | Q8 | Not supported | — | 80GB (have 12GB) |
| Qwen/Qwen3-Next-80B-A3B-Thinking | Q4 | Not supported | — | 40GB (have 12GB) |
| unsloth/gemma-3-1b-it | Q8 | Fits comfortably | 23.53 tok/sEstimated | 1GB (have 12GB) |
| unsloth/gemma-3-1b-it | Q4 | Fits comfortably | 37.36 tok/sEstimated | 1GB (have 12GB) |
| bigcode/starcoder2-3b | Q8 | Fits comfortably | 17.44 tok/sEstimated | 3GB (have 12GB) |
| bigcode/starcoder2-3b | Q4 | Fits comfortably | 23.98 tok/sEstimated | 2GB (have 12GB) |
| Qwen/Qwen3-Next-80B-A3B-Thinking-FP8 | Q8 | Not supported | — | 80GB (have 12GB) |
| Qwen/Qwen3-Next-80B-A3B-Thinking-FP8 | Q4 | Not supported | — | 40GB (have 12GB) |
| ibm-granite/granite-docling-258M | Q8 | Fits comfortably | 13.28 tok/sEstimated | 7GB (have 12GB) |
| ibm-granite/granite-docling-258M | Q4 | Fits comfortably | 16.95 tok/sEstimated | 4GB (have 12GB) |
| skt/kogpt2-base-v2 | Q8 | Fits comfortably | 13.13 tok/sEstimated | 7GB (have 12GB) |
| skt/kogpt2-base-v2 | Q4 | Fits comfortably | 16.59 tok/sEstimated | 4GB (have 12GB) |
| google/gemma-3-270m-it | Q8 | Fits comfortably | 13.40 tok/sEstimated | 7GB (have 12GB) |
| google/gemma-3-270m-it | Q4 | Fits comfortably | 16.87 tok/sEstimated | 4GB (have 12GB) |
| Qwen/Qwen3-4B-Thinking-2507-FP8 | Q8 | Fits comfortably | 14.15 tok/sEstimated | 4GB (have 12GB) |
| Qwen/Qwen3-4B-Thinking-2507-FP8 | Q4 | Fits comfortably | 23.67 tok/sEstimated | 2GB (have 12GB) |
| Qwen/Qwen2.5-32B | Q8 | Not supported | — | 32GB (have 12GB) |
| Qwen/Qwen2.5-32B | Q4 | Not supported | — | 16GB (have 12GB) |
| parler-tts/parler-tts-large-v1 | Q8 | Fits comfortably | 12.31 tok/sEstimated | 7GB (have 12GB) |
| parler-tts/parler-tts-large-v1 | Q4 | Fits comfortably | 19.07 tok/sEstimated | 4GB (have 12GB) |
| EleutherAI/pythia-70m-deduped | Q8 | Fits comfortably | 13.33 tok/sEstimated | 7GB (have 12GB) |
| EleutherAI/pythia-70m-deduped | Q4 | Fits comfortably | 19.30 tok/sEstimated | 4GB (have 12GB) |
| microsoft/VibeVoice-1.5B | Q8 | Fits comfortably | 15.12 tok/sEstimated | 5GB (have 12GB) |
| microsoft/VibeVoice-1.5B | Q4 | Fits comfortably | 19.87 tok/sEstimated | 3GB (have 12GB) |
| ibm-granite/granite-3.3-2b-instruct | Q8 | Fits comfortably | 19.37 tok/sEstimated | 2GB (have 12GB) |
| ibm-granite/granite-3.3-2b-instruct | Q4 | Fits comfortably | 26.59 tok/sEstimated | 1GB (have 12GB) |
| Qwen/Qwen2.5-72B-Instruct | Q8 | Not supported | — | 72GB (have 12GB) |
| Qwen/Qwen2.5-72B-Instruct | Q4 | Not supported | — | 36GB (have 12GB) |
| liuhaotian/llava-v1.5-7b | Q8 | Fits comfortably | 11.33 tok/sEstimated | 7GB (have 12GB) |
| liuhaotian/llava-v1.5-7b | Q4 | Fits comfortably | 17.51 tok/sEstimated | 4GB (have 12GB) |
| google/gemma-2b | Q8 | Fits comfortably | 17.65 tok/sEstimated | 2GB (have 12GB) |
| google/gemma-2b | Q4 | Fits comfortably | 29.31 tok/sEstimated | 1GB (have 12GB) |
| trl-internal-testing/tiny-LlamaForCausalLM-3.2 | Q8 | Fits comfortably | 13.22 tok/sEstimated | 7GB (have 12GB) |
| trl-internal-testing/tiny-LlamaForCausalLM-3.2 | Q4 | Fits comfortably | 17.86 tok/sEstimated | 4GB (have 12GB) |
| Qwen/Qwen3-235B-A22B | Q8 | Not supported | — | 235GB (have 12GB) |
| Qwen/Qwen3-235B-A22B | Q4 | Not supported | — | 118GB (have 12GB) |
| lmstudio-community/DeepSeek-R1-0528-Qwen3-8B-MLX-8bit | Q8 | Fits comfortably | 11.32 tok/sEstimated | 8GB (have 12GB) |
| lmstudio-community/DeepSeek-R1-0528-Qwen3-8B-MLX-8bit | Q4 | Fits comfortably | 15.27 tok/sEstimated | 4GB (have 12GB) |
| microsoft/Phi-4-mini-instruct | Q8 | Fits comfortably | 11.38 tok/sEstimated | 7GB (have 12GB) |
| microsoft/Phi-4-mini-instruct | Q4 | Fits comfortably | 18.48 tok/sEstimated | 4GB (have 12GB) |
| llamafactory/tiny-random-Llama-3 | Q8 | Fits comfortably | 12.18 tok/sEstimated | 7GB (have 12GB) |
| llamafactory/tiny-random-Llama-3 | Q4 | Fits comfortably | 17.84 tok/sEstimated | 4GB (have 12GB) |
| HuggingFaceH4/zephyr-7b-beta | Q8 | Fits comfortably | 12.02 tok/sEstimated | 7GB (have 12GB) |
| HuggingFaceH4/zephyr-7b-beta | Q4 | Fits comfortably | 16.98 tok/sEstimated | 4GB (have 12GB) |
| Qwen/Qwen3-4B-Thinking-2507 | Q8 | Fits comfortably | 14.35 tok/sEstimated | 4GB (have 12GB) |
| Qwen/Qwen3-4B-Thinking-2507 | Q4 | Fits comfortably | 23.35 tok/sEstimated | 2GB (have 12GB) |
| Qwen/Qwen3-30B-A3B-Instruct-2507-FP8 | Q8 | Not supported | — | 30GB (have 12GB) |
| Qwen/Qwen3-30B-A3B-Instruct-2507-FP8 | Q4 | Not supported | — | 15GB (have 12GB) |
| lmstudio-community/DeepSeek-R1-0528-Qwen3-8B-MLX-4bit | Q8 | Fits comfortably | 11.29 tok/sEstimated | 8GB (have 12GB) |
| lmstudio-community/DeepSeek-R1-0528-Qwen3-8B-MLX-4bit | Q4 | Fits comfortably | 17.15 tok/sEstimated | 4GB (have 12GB) |
| unsloth/Llama-3.2-1B-Instruct | Q8 | Fits comfortably | 23.47 tok/sEstimated | 1GB (have 12GB) |
| unsloth/Llama-3.2-1B-Instruct | Q4 | Fits comfortably | 36.80 tok/sEstimated | 1GB (have 12GB) |
| GSAI-ML/LLaDA-8B-Instruct | Q8 | Fits comfortably | 10.87 tok/sEstimated | 8GB (have 12GB) |
| GSAI-ML/LLaDA-8B-Instruct | Q4 | Fits comfortably | 18.06 tok/sEstimated | 4GB (have 12GB) |
| RedHatAI/Llama-3.2-90B-Vision-Instruct-FP8-dynamic | Q8 | Not supported | — | 90GB (have 12GB) |
| RedHatAI/Llama-3.2-90B-Vision-Instruct-FP8-dynamic | Q4 | Not supported | — | 45GB (have 12GB) |
| Qwen/Qwen2.5-Coder-7B-Instruct | Q8 | Fits comfortably | 11.08 tok/sEstimated | 7GB (have 12GB) |
| Qwen/Qwen2.5-Coder-7B-Instruct | Q4 | Fits comfortably | 16.09 tok/sEstimated | 4GB (have 12GB) |
| numind/NuExtract-1.5 | Q8 | Fits comfortably | 11.25 tok/sEstimated | 7GB (have 12GB) |
| numind/NuExtract-1.5 | Q4 | Fits comfortably | 15.98 tok/sEstimated | 4GB (have 12GB) |
| deepseek-ai/DeepSeek-Coder-V2-Lite-Instruct | Q8 | Fits comfortably | 11.61 tok/sEstimated | 7GB (have 12GB) |
| deepseek-ai/DeepSeek-Coder-V2-Lite-Instruct | Q4 | Fits comfortably | 18.14 tok/sEstimated | 4GB (have 12GB) |
| hmellor/tiny-random-LlamaForCausalLM | Q8 | Fits comfortably | 12.56 tok/sEstimated | 7GB (have 12GB) |
| hmellor/tiny-random-LlamaForCausalLM | Q4 | Fits comfortably | 16.22 tok/sEstimated | 4GB (have 12GB) |
| huggyllama/llama-7b | Q8 | Fits comfortably | 12.87 tok/sEstimated | 7GB (have 12GB) |
| huggyllama/llama-7b | Q4 | Fits comfortably | 17.35 tok/sEstimated | 4GB (have 12GB) |
| deepseek-ai/DeepSeek-V3-0324 | Q8 | Fits comfortably | 11.35 tok/sEstimated | 7GB (have 12GB) |
| deepseek-ai/DeepSeek-V3-0324 | Q4 | Fits comfortably | 16.51 tok/sEstimated | 4GB (have 12GB) |
| microsoft/Phi-3-mini-128k-instruct | Q8 | Fits comfortably | 13.09 tok/sEstimated | 7GB (have 12GB) |
| microsoft/Phi-3-mini-128k-instruct | Q4 | Fits comfortably | 17.73 tok/sEstimated | 4GB (have 12GB) |
| sshleifer/tiny-gpt2 | Q8 | Fits comfortably | 11.70 tok/sEstimated | 7GB (have 12GB) |
| sshleifer/tiny-gpt2 | Q4 | Fits comfortably | 18.91 tok/sEstimated | 4GB (have 12GB) |
| meta-llama/Llama-Guard-3-8B | Q8 | Fits comfortably | 11.91 tok/sEstimated | 8GB (have 12GB) |
| meta-llama/Llama-Guard-3-8B | Q4 | Fits comfortably | 17.77 tok/sEstimated | 4GB (have 12GB) |
| openai-community/gpt2-xl | Q8 | Fits comfortably | 13.26 tok/sEstimated | 7GB (have 12GB) |
| openai-community/gpt2-xl | Q4 | Fits comfortably | 18.02 tok/sEstimated | 4GB (have 12GB) |
| OpenPipe/Qwen3-14B-Instruct | Q8 | Not supported | — | 14GB (have 12GB) |
| OpenPipe/Qwen3-14B-Instruct | Q4 | Fits comfortably | 14.38 tok/sEstimated | 7GB (have 12GB) |
| RedHatAI/Meta-Llama-3.1-70B-Instruct-quantized.w4a16 | Q8 | Not supported | — | 70GB (have 12GB) |
| RedHatAI/Meta-Llama-3.1-70B-Instruct-quantized.w4a16 | Q4 | Not supported | — | 35GB (have 12GB) |
| lmstudio-community/Qwen3-4B-Thinking-2507-MLX-6bit | Q8 | Fits comfortably | 16.39 tok/sEstimated | 4GB (have 12GB) |
| lmstudio-community/Qwen3-4B-Thinking-2507-MLX-6bit | Q4 | Fits comfortably | 22.11 tok/sEstimated | 2GB (have 12GB) |
| ibm-research/PowerMoE-3b | Q8 | Fits comfortably | 15.69 tok/sEstimated | 3GB (have 12GB) |
| ibm-research/PowerMoE-3b | Q4 | Fits comfortably | 23.38 tok/sEstimated | 2GB (have 12GB) |
| lmstudio-community/Qwen3-4B-Thinking-2507-MLX-8bit | Q8 | Fits comfortably | 14.19 tok/sEstimated | 4GB (have 12GB) |
| lmstudio-community/Qwen3-4B-Thinking-2507-MLX-8bit | Q4 | Fits comfortably | 23.03 tok/sEstimated | 2GB (have 12GB) |
| unsloth/Llama-3.2-3B-Instruct | Q8 | Fits comfortably | 17.62 tok/sEstimated | 3GB (have 12GB) |
| unsloth/Llama-3.2-3B-Instruct | Q4 | Fits comfortably | 25.01 tok/sEstimated | 2GB (have 12GB) |
| lmstudio-community/Qwen3-4B-Thinking-2507-MLX-4bit | Q8 | Fits comfortably | 15.92 tok/sEstimated | 4GB (have 12GB) |
| lmstudio-community/Qwen3-4B-Thinking-2507-MLX-4bit | Q4 | Fits comfortably | 19.74 tok/sEstimated | 2GB (have 12GB) |
| meta-llama/Llama-3.2-3B | Q8 | Fits comfortably | 17.50 tok/sEstimated | 3GB (have 12GB) |
| meta-llama/Llama-3.2-3B | Q4 | Fits comfortably | 23.73 tok/sEstimated | 2GB (have 12GB) |
| EleutherAI/gpt-neo-125m | Q8 | Fits comfortably | 13.47 tok/sEstimated | 7GB (have 12GB) |
| EleutherAI/gpt-neo-125m | Q4 | Fits comfortably | 17.65 tok/sEstimated | 4GB (have 12GB) |
| codellama/CodeLlama-34b-hf | Q8 | Not supported | — | 34GB (have 12GB) |
| codellama/CodeLlama-34b-hf | Q4 | Not supported | — | 17GB (have 12GB) |
| meta-llama/Llama-Guard-3-1B | Q8 | Fits comfortably | 24.07 tok/sEstimated | 1GB (have 12GB) |
| meta-llama/Llama-Guard-3-1B | Q4 | Fits comfortably | 38.83 tok/sEstimated | 1GB (have 12GB) |
| Qwen/Qwen2-1.5B-Instruct | Q8 | Fits comfortably | 14.36 tok/sEstimated | 5GB (have 12GB) |
| Qwen/Qwen2-1.5B-Instruct | Q4 | Fits comfortably | 21.59 tok/sEstimated | 3GB (have 12GB) |
| google/gemma-2-2b-it | Q8 | Fits comfortably | 19.11 tok/sEstimated | 2GB (have 12GB) |
| google/gemma-2-2b-it | Q4 | Fits comfortably | 30.30 tok/sEstimated | 1GB (have 12GB) |
| Qwen/Qwen2.5-14B | Q8 | Not supported | — | 14GB (have 12GB) |
| Qwen/Qwen2.5-14B | Q4 | Fits comfortably | 13.74 tok/sEstimated | 7GB (have 12GB) |
| unsloth/DeepSeek-R1-Distill-Qwen-32B-bnb-4bit | Q8 | Not supported | — | 32GB (have 12GB) |
| unsloth/DeepSeek-R1-Distill-Qwen-32B-bnb-4bit | Q4 | Not supported | — | 16GB (have 12GB) |
| microsoft/Phi-3.5-mini-instruct | Q8 | Fits comfortably | 11.84 tok/sEstimated | 7GB (have 12GB) |
| microsoft/Phi-3.5-mini-instruct | Q4 | Fits comfortably | 17.74 tok/sEstimated | 4GB (have 12GB) |
| Qwen/Qwen3-4B-Base | Q8 | Fits comfortably | 14.38 tok/sEstimated | 4GB (have 12GB) |
| Qwen/Qwen3-4B-Base | Q4 | Fits comfortably | 22.94 tok/sEstimated | 2GB (have 12GB) |
| Qwen/Qwen2-7B-Instruct | Q8 | Fits comfortably | 12.90 tok/sEstimated | 7GB (have 12GB) |
| Qwen/Qwen2-7B-Instruct | Q4 | Fits comfortably | 16.59 tok/sEstimated | 4GB (have 12GB) |
| meta-llama/Llama-2-7b-chat-hf | Q8 | Fits comfortably | 12.16 tok/sEstimated | 7GB (have 12GB) |
| meta-llama/Llama-2-7b-chat-hf | Q4 | Fits comfortably | 16.69 tok/sEstimated | 4GB (have 12GB) |
| Qwen/Qwen3-14B-Base | Q8 | Not supported | — | 14GB (have 12GB) |
| Qwen/Qwen3-14B-Base | Q4 | Fits comfortably | 13.87 tok/sEstimated | 7GB (have 12GB) |
| swiss-ai/Apertus-8B-Instruct-2509 | Q8 | Fits comfortably | 12.18 tok/sEstimated | 8GB (have 12GB) |
| swiss-ai/Apertus-8B-Instruct-2509 | Q4 | Fits comfortably | 18.31 tok/sEstimated | 4GB (have 12GB) |
| microsoft/Phi-3.5-vision-instruct | Q8 | Fits comfortably | 13.16 tok/sEstimated | 7GB (have 12GB) |
| microsoft/Phi-3.5-vision-instruct | Q4 | Fits comfortably | 16.58 tok/sEstimated | 4GB (have 12GB) |
| unsloth/mistral-7b-v0.3-bnb-4bit | Q8 | Fits comfortably | 12.09 tok/sEstimated | 7GB (have 12GB) |
| unsloth/mistral-7b-v0.3-bnb-4bit | Q4 | Fits comfortably | 17.57 tok/sEstimated | 4GB (have 12GB) |
| rinna/japanese-gpt-neox-small | Q8 | Fits comfortably | 11.25 tok/sEstimated | 7GB (have 12GB) |
| rinna/japanese-gpt-neox-small | Q4 | Fits comfortably | 18.24 tok/sEstimated | 4GB (have 12GB) |
| Qwen/Qwen2.5-Coder-1.5B | Q8 | Fits comfortably | 13.12 tok/sEstimated | 5GB (have 12GB) |
| Qwen/Qwen2.5-Coder-1.5B | Q4 | Fits comfortably | 18.05 tok/sEstimated | 3GB (have 12GB) |
| IlyaGusev/saiga_llama3_8b | Q8 | Fits comfortably | 10.90 tok/sEstimated | 8GB (have 12GB) |
| IlyaGusev/saiga_llama3_8b | Q4 | Fits comfortably | 15.38 tok/sEstimated | 4GB (have 12GB) |
| Qwen/Qwen3-30B-A3B | Q8 | Not supported | — | 30GB (have 12GB) |
| Qwen/Qwen3-30B-A3B | Q4 | Not supported | — | 15GB (have 12GB) |
| deepseek-ai/DeepSeek-R1 | Q8 | Fits comfortably | 12.98 tok/sEstimated | 7GB (have 12GB) |
| deepseek-ai/DeepSeek-R1 | Q4 | Fits comfortably | 16.34 tok/sEstimated | 4GB (have 12GB) |
| microsoft/DialoGPT-small | Q8 | Fits comfortably | 13.44 tok/sEstimated | 7GB (have 12GB) |
| microsoft/DialoGPT-small | Q4 | Fits comfortably | 15.93 tok/sEstimated | 4GB (have 12GB) |
| Qwen/Qwen3-8B-FP8 | Q8 | Fits comfortably | 10.71 tok/sEstimated | 8GB (have 12GB) |
| Qwen/Qwen3-8B-FP8 | Q4 | Fits comfortably | 15.13 tok/sEstimated | 4GB (have 12GB) |
| Qwen/Qwen3-Coder-30B-A3B-Instruct | Q8 | Not supported | — | 30GB (have 12GB) |
| Qwen/Qwen3-Coder-30B-A3B-Instruct | Q4 | Not supported | — | 15GB (have 12GB) |
| Qwen/Qwen3-Embedding-4B | Q8 | Fits comfortably | 16.20 tok/sEstimated | 4GB (have 12GB) |
| Qwen/Qwen3-Embedding-4B | Q4 | Fits comfortably | 22.70 tok/sEstimated | 2GB (have 12GB) |
| microsoft/Phi-4-multimodal-instruct | Q8 | Fits comfortably | 13.12 tok/sEstimated | 7GB (have 12GB) |
| microsoft/Phi-4-multimodal-instruct | Q4 | Fits comfortably | 16.03 tok/sEstimated | 4GB (have 12GB) |
| Qwen/Qwen3-8B-Base | Q8 | Fits comfortably | 12.39 tok/sEstimated | 8GB (have 12GB) |
| Qwen/Qwen3-8B-Base | Q4 | Fits comfortably | 18.16 tok/sEstimated | 4GB (have 12GB) |
| Qwen/Qwen3-0.6B-Base | Q8 | Fits comfortably | 12.10 tok/sEstimated | 6GB (have 12GB) |
| Qwen/Qwen3-0.6B-Base | Q4 | Fits comfortably | 19.21 tok/sEstimated | 3GB (have 12GB) |
| openai-community/gpt2-medium | Q8 | Fits comfortably | 13.29 tok/sEstimated | 7GB (have 12GB) |
| openai-community/gpt2-medium | Q4 | Fits comfortably | 17.75 tok/sEstimated | 4GB (have 12GB) |
| trl-internal-testing/tiny-random-LlamaForCausalLM | Q8 | Fits comfortably | 12.75 tok/sEstimated | 7GB (have 12GB) |
| trl-internal-testing/tiny-random-LlamaForCausalLM | Q4 | Fits comfortably | 18.30 tok/sEstimated | 4GB (have 12GB) |
| Qwen/Qwen2.5-Math-1.5B | Q8 | Fits comfortably | 14.48 tok/sEstimated | 5GB (have 12GB) |
| Qwen/Qwen2.5-Math-1.5B | Q4 | Fits comfortably | 19.74 tok/sEstimated | 3GB (have 12GB) |
| HuggingFaceTB/SmolLM-135M | Q8 | Fits comfortably | 11.48 tok/sEstimated | 7GB (have 12GB) |
| HuggingFaceTB/SmolLM-135M | Q4 | Fits comfortably | 17.55 tok/sEstimated | 4GB (have 12GB) |
| unsloth/gpt-oss-20b-BF16 | Q8 | Not supported | — | 20GB (have 12GB) |
| unsloth/gpt-oss-20b-BF16 | Q4 | Fits comfortably | 11.93 tok/sEstimated | 10GB (have 12GB) |
| meta-llama/Meta-Llama-3-70B-Instruct | Q8 | Not supported | — | 70GB (have 12GB) |
| meta-llama/Meta-Llama-3-70B-Instruct | Q4 | Not supported | — | 35GB (have 12GB) |
| unsloth/Meta-Llama-3.1-8B-Instruct | Q8 | Fits comfortably | 11.36 tok/sEstimated | 8GB (have 12GB) |
| unsloth/Meta-Llama-3.1-8B-Instruct | Q4 | Fits comfortably | 18.31 tok/sEstimated | 4GB (have 12GB) |
| zai-org/GLM-4.5-Air | Q8 | Fits comfortably | 12.70 tok/sEstimated | 7GB (have 12GB) |
| zai-org/GLM-4.5-Air | Q4 | Fits comfortably | 16.12 tok/sEstimated | 4GB (have 12GB) |
| mistralai/Mistral-7B-Instruct-v0.1 | Q8 | Fits comfortably | 12.13 tok/sEstimated | 7GB (have 12GB) |
| mistralai/Mistral-7B-Instruct-v0.1 | Q4 | Fits comfortably | 18.34 tok/sEstimated | 4GB (have 12GB) |
| LiquidAI/LFM2-1.2B | Q8 | Fits comfortably | 19.77 tok/sEstimated | 2GB (have 12GB) |
| LiquidAI/LFM2-1.2B | Q4 | Fits comfortably | 27.58 tok/sEstimated | 1GB (have 12GB) |
| mistralai/Mistral-7B-v0.1 | Q8 | Fits comfortably | 12.82 tok/sEstimated | 7GB (have 12GB) |
| mistralai/Mistral-7B-v0.1 | Q4 | Fits comfortably | 15.84 tok/sEstimated | 4GB (have 12GB) |
| Qwen/Qwen2.5-32B-Instruct | Q8 | Not supported | — | 32GB (have 12GB) |
| Qwen/Qwen2.5-32B-Instruct | Q4 | Not supported | — | 16GB (have 12GB) |
| deepseek-ai/DeepSeek-R1-0528 | Q8 | Fits comfortably | 11.72 tok/sEstimated | 7GB (have 12GB) |
| deepseek-ai/DeepSeek-R1-0528 | Q4 | Fits comfortably | 17.44 tok/sEstimated | 4GB (have 12GB) |
| meta-llama/Llama-3.1-8B | Q8 | Fits comfortably | 11.28 tok/sEstimated | 8GB (have 12GB) |
| meta-llama/Llama-3.1-8B | Q4 | Fits comfortably | 17.33 tok/sEstimated | 4GB (have 12GB) |
| deepseek-ai/DeepSeek-V3.1 | Q8 | Fits comfortably | 11.61 tok/sEstimated | 7GB (have 12GB) |
| deepseek-ai/DeepSeek-V3.1 | Q4 | Fits comfortably | 15.82 tok/sEstimated | 4GB (have 12GB) |
| microsoft/phi-4 | Q8 | Fits comfortably | 11.50 tok/sEstimated | 7GB (have 12GB) |
| microsoft/phi-4 | Q4 | Fits comfortably | 17.36 tok/sEstimated | 4GB (have 12GB) |
| deepseek-ai/deepseek-coder-1.3b-instruct | Q8 | Fits comfortably | 15.49 tok/sEstimated | 3GB (have 12GB) |
| deepseek-ai/deepseek-coder-1.3b-instruct | Q4 | Fits comfortably | 22.39 tok/sEstimated | 2GB (have 12GB) |
| Qwen/Qwen2-0.5B | Q8 | Fits comfortably | 13.20 tok/sEstimated | 5GB (have 12GB) |
| Qwen/Qwen2-0.5B | Q4 | Fits comfortably | 19.68 tok/sEstimated | 3GB (have 12GB) |
| MiniMaxAI/MiniMax-M2 | Q8 | Fits comfortably | 13.22 tok/sEstimated | 7GB (have 12GB) |
| MiniMaxAI/MiniMax-M2 | Q4 | Fits comfortably | 16.03 tok/sEstimated | 4GB (have 12GB) |
| microsoft/DialoGPT-medium | Q8 | Fits comfortably | 11.60 tok/sEstimated | 7GB (have 12GB) |
| microsoft/DialoGPT-medium | Q4 | Fits comfortably | 18.00 tok/sEstimated | 4GB (have 12GB) |
| zai-org/GLM-4.6-FP8 | Q8 | Fits comfortably | 11.17 tok/sEstimated | 7GB (have 12GB) |
| zai-org/GLM-4.6-FP8 | Q4 | Fits comfortably | 18.41 tok/sEstimated | 4GB (have 12GB) |
| HuggingFaceTB/SmolLM2-135M | Q8 | Fits comfortably | 12.68 tok/sEstimated | 7GB (have 12GB) |
| HuggingFaceTB/SmolLM2-135M | Q4 | Fits comfortably | 16.12 tok/sEstimated | 4GB (have 12GB) |
| deepseek-ai/DeepSeek-R1-Distill-Llama-8B | Q8 | Fits comfortably | 12.16 tok/sEstimated | 8GB (have 12GB) |
| deepseek-ai/DeepSeek-R1-Distill-Llama-8B | Q4 | Fits comfortably | 18.29 tok/sEstimated | 4GB (have 12GB) |
| meta-llama/Llama-2-7b-hf | Q8 | Fits comfortably | 12.98 tok/sEstimated | 7GB (have 12GB) |
| meta-llama/Llama-2-7b-hf | Q4 | Fits comfortably | 16.80 tok/sEstimated | 4GB (have 12GB) |
| deepseek-ai/DeepSeek-R1-Distill-Qwen-7B | Q8 | Fits comfortably | 12.42 tok/sEstimated | 7GB (have 12GB) |
| deepseek-ai/DeepSeek-R1-Distill-Qwen-7B | Q4 | Fits comfortably | 18.76 tok/sEstimated | 4GB (have 12GB) |
| microsoft/phi-2 | Q8 | Fits comfortably | 12.39 tok/sEstimated | 7GB (have 12GB) |
| microsoft/phi-2 | Q4 | Fits comfortably | 16.96 tok/sEstimated | 4GB (have 12GB) |
| meta-llama/Llama-3.1-70B-Instruct | Q8 | Not supported | — | 70GB (have 12GB) |
| meta-llama/Llama-3.1-70B-Instruct | Q4 | Not supported | — | 35GB (have 12GB) |
| Qwen/Qwen2.5-0.5B | Q8 | Fits comfortably | 13.54 tok/sEstimated | 5GB (have 12GB) |
| Qwen/Qwen2.5-0.5B | Q4 | Fits comfortably | 21.66 tok/sEstimated | 3GB (have 12GB) |
| Qwen/Qwen3-14B | Q8 | Not supported | — | 14GB (have 12GB) |
| Qwen/Qwen3-14B | Q4 | Fits comfortably | 14.35 tok/sEstimated | 7GB (have 12GB) |
| Qwen/Qwen3-Embedding-8B | Q8 | Fits comfortably | 12.22 tok/sEstimated | 8GB (have 12GB) |
| Qwen/Qwen3-Embedding-8B | Q4 | Fits comfortably | 16.25 tok/sEstimated | 4GB (have 12GB) |
| meta-llama/Llama-3.3-70B-Instruct | Q8 | Not supported | — | 70GB (have 12GB) |
| meta-llama/Llama-3.3-70B-Instruct | Q4 | Not supported | — | 35GB (have 12GB) |
| unsloth/Meta-Llama-3.1-8B-Instruct-bnb-4bit | Q8 | Fits comfortably | 12.14 tok/sEstimated | 8GB (have 12GB) |
| unsloth/Meta-Llama-3.1-8B-Instruct-bnb-4bit | Q4 | Fits comfortably | 15.81 tok/sEstimated | 4GB (have 12GB) |
| Qwen/Qwen2.5-14B-Instruct | Q8 | Not supported | — | 14GB (have 12GB) |
| Qwen/Qwen2.5-14B-Instruct | Q4 | Fits comfortably | 13.12 tok/sEstimated | 7GB (have 12GB) |
| Qwen/Qwen2.5-1.5B | Q8 | Fits comfortably | 13.02 tok/sEstimated | 5GB (have 12GB) |
| Qwen/Qwen2.5-1.5B | Q4 | Fits comfortably | 18.70 tok/sEstimated | 3GB (have 12GB) |
| kaitchup/Phi-3-mini-4k-instruct-gptq-4bit | Q8 | Fits comfortably | 15.65 tok/sEstimated | 4GB (have 12GB) |
| kaitchup/Phi-3-mini-4k-instruct-gptq-4bit | Q4 | Fits comfortably | 20.05 tok/sEstimated | 2GB (have 12GB) |
| mlx-community/gpt-oss-20b-MXFP4-Q8 | Q8 | Not supported | — | 20GB (have 12GB) |
| mlx-community/gpt-oss-20b-MXFP4-Q8 | Q4 | Fits comfortably | 12.02 tok/sEstimated | 10GB (have 12GB) |
| deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B | Q8 | Fits comfortably | 14.70 tok/sEstimated | 5GB (have 12GB) |
| deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B | Q4 | Fits comfortably | 19.00 tok/sEstimated | 3GB (have 12GB) |
| meta-llama/Meta-Llama-3-8B-Instruct | Q8 | Fits comfortably | 11.55 tok/sEstimated | 8GB (have 12GB) |
| meta-llama/Meta-Llama-3-8B-Instruct | Q4 | Fits comfortably | 16.32 tok/sEstimated | 4GB (have 12GB) |
| Qwen/Qwen3-Reranker-0.6B | Q8 | Fits comfortably | 11.75 tok/sEstimated | 6GB (have 12GB) |
| Qwen/Qwen3-Reranker-0.6B | Q4 | Fits comfortably | 17.47 tok/sEstimated | 3GB (have 12GB) |
| rednote-hilab/dots.ocr | Q8 | Fits comfortably | 12.27 tok/sEstimated | 7GB (have 12GB) |
| rednote-hilab/dots.ocr | Q4 | Fits comfortably | 18.15 tok/sEstimated | 4GB (have 12GB) |
| google-t5/t5-3b | Q8 | Fits comfortably | 16.25 tok/sEstimated | 3GB (have 12GB) |
| google-t5/t5-3b | Q4 | Fits comfortably | 25.56 tok/sEstimated | 2GB (have 12GB) |
| Qwen/Qwen3-30B-A3B-Instruct-2507 | Q8 | Not supported | — | 30GB (have 12GB) |
| Qwen/Qwen3-30B-A3B-Instruct-2507 | Q4 | Not supported | — | 15GB (have 12GB) |
| Qwen/Qwen3-4B | Q8 | Fits comfortably | 16.47 tok/sEstimated | 4GB (have 12GB) |
| Qwen/Qwen3-4B | Q4 | Fits comfortably | 23.10 tok/sEstimated | 2GB (have 12GB) |
| Qwen/Qwen3-1.7B | Q8 | Fits comfortably | 12.08 tok/sEstimated | 7GB (have 12GB) |
| Qwen/Qwen3-1.7B | Q4 | Fits comfortably | 16.23 tok/sEstimated | 4GB (have 12GB) |
| openai-community/gpt2-large | Q8 | Fits comfortably | 11.88 tok/sEstimated | 7GB (have 12GB) |
| openai-community/gpt2-large | Q4 | Fits comfortably | 16.53 tok/sEstimated | 4GB (have 12GB) |
| microsoft/Phi-3-mini-4k-instruct | Q8 | Fits comfortably | 12.30 tok/sEstimated | 7GB (have 12GB) |
| microsoft/Phi-3-mini-4k-instruct | Q4 | Fits comfortably | 17.75 tok/sEstimated | 4GB (have 12GB) |
| allenai/OLMo-2-0425-1B | Q8 | Fits comfortably | 26.52 tok/sEstimated | 1GB (have 12GB) |
| allenai/OLMo-2-0425-1B | Q4 | Fits comfortably | 33.20 tok/sEstimated | 1GB (have 12GB) |
| Qwen/Qwen3-Next-80B-A3B-Instruct | Q8 | Not supported | — | 80GB (have 12GB) |
| Qwen/Qwen3-Next-80B-A3B-Instruct | Q4 | Not supported | — | 40GB (have 12GB) |
| Qwen/Qwen3-32B | Q8 | Not supported | — | 32GB (have 12GB) |
| Qwen/Qwen3-32B | Q4 | Not supported | — | 16GB (have 12GB) |
| Qwen/Qwen2.5-0.5B-Instruct | Q8 | Fits comfortably | 12.95 tok/sEstimated | 5GB (have 12GB) |
| Qwen/Qwen2.5-0.5B-Instruct | Q4 | Fits comfortably | 18.42 tok/sEstimated | 3GB (have 12GB) |
| Qwen/Qwen2.5-7B | Q8 | Fits comfortably | 11.83 tok/sEstimated | 7GB (have 12GB) |
| Qwen/Qwen2.5-7B | Q4 | Fits comfortably | 18.12 tok/sEstimated | 4GB (have 12GB) |
| meta-llama/Meta-Llama-3-8B | Q8 | Fits comfortably | 11.97 tok/sEstimated | 8GB (have 12GB) |
| meta-llama/Meta-Llama-3-8B | Q4 | Fits comfortably | 15.58 tok/sEstimated | 4GB (have 12GB) |
| meta-llama/Llama-3.2-1B | Q8 | Fits comfortably | 23.50 tok/sEstimated | 1GB (have 12GB) |
| meta-llama/Llama-3.2-1B | Q4 | Fits comfortably | 32.60 tok/sEstimated | 1GB (have 12GB) |
| petals-team/StableBeluga2 | Q8 | Fits comfortably | 11.77 tok/sEstimated | 7GB (have 12GB) |
| petals-team/StableBeluga2 | Q4 | Fits comfortably | 16.84 tok/sEstimated | 4GB (have 12GB) |
| vikhyatk/moondream2 | Q8 | Fits comfortably | 13.15 tok/sEstimated | 7GB (have 12GB) |
| vikhyatk/moondream2 | Q4 | Fits comfortably | 17.39 tok/sEstimated | 4GB (have 12GB) |
| meta-llama/Llama-3.2-3B-Instruct | Q8 | Fits comfortably | 15.59 tok/sEstimated | 3GB (have 12GB) |
| meta-llama/Llama-3.2-3B-Instruct | Q4 | Fits comfortably | 24.63 tok/sEstimated | 2GB (have 12GB) |
| RedHatAI/Llama-3.3-70B-Instruct-FP8-dynamic | Q8 | Not supported | — | 70GB (have 12GB) |
| RedHatAI/Llama-3.3-70B-Instruct-FP8-dynamic | Q4 | Not supported | — | 35GB (have 12GB) |
| distilbert/distilgpt2 | Q8 | Fits comfortably | 13.49 tok/sEstimated | 7GB (have 12GB) |
| distilbert/distilgpt2 | Q4 | Fits comfortably | 18.05 tok/sEstimated | 4GB (have 12GB) |
| deepseek-ai/DeepSeek-R1-Distill-Qwen-32B | Q8 | Not supported | — | 32GB (have 12GB) |
| deepseek-ai/DeepSeek-R1-Distill-Qwen-32B | Q4 | Not supported | — | 16GB (have 12GB) |
| inference-net/Schematron-3B | Q8 | Fits comfortably | 18.08 tok/sEstimated | 3GB (have 12GB) |
| inference-net/Schematron-3B | Q4 | Fits comfortably | 25.47 tok/sEstimated | 2GB (have 12GB) |
| Qwen/Qwen3-8B | Q8 | Fits comfortably | 12.80 tok/sEstimated | 8GB (have 12GB) |
| Qwen/Qwen3-8B | Q4 | Fits comfortably | 15.57 tok/sEstimated | 4GB (have 12GB) |
| mistralai/Mistral-7B-Instruct-v0.2 | Q8 | Fits comfortably | 11.64 tok/sEstimated | 7GB (have 12GB) |
| mistralai/Mistral-7B-Instruct-v0.2 | Q4 | Fits comfortably | 16.34 tok/sEstimated | 4GB (have 12GB) |
| context-labs/meta-llama-Llama-3.2-3B-Instruct-FP16 | Q8 | Fits comfortably | 16.36 tok/sEstimated | 3GB (have 12GB) |
| context-labs/meta-llama-Llama-3.2-3B-Instruct-FP16 | Q4 | Fits comfortably | 23.25 tok/sEstimated | 2GB (have 12GB) |
| bigscience/bloomz-560m | Q8 | Fits comfortably | 11.87 tok/sEstimated | 7GB (have 12GB) |
| bigscience/bloomz-560m | Q4 | Fits comfortably | 18.48 tok/sEstimated | 4GB (have 12GB) |
| Qwen/Qwen2.5-3B-Instruct | Q8 | Fits comfortably | 16.07 tok/sEstimated | 3GB (have 12GB) |
| Qwen/Qwen2.5-3B-Instruct | Q4 | Fits comfortably | 23.47 tok/sEstimated | 2GB (have 12GB) |
| openai/gpt-oss-120b | Q8 | Not supported | — | 120GB (have 12GB) |
| openai/gpt-oss-120b | Q4 | Not supported | — | 60GB (have 12GB) |
| meta-llama/Llama-3.2-1B-Instruct | Q8 | Fits comfortably | 23.09 tok/sEstimated | 1GB (have 12GB) |
| meta-llama/Llama-3.2-1B-Instruct | Q4 | Fits comfortably | 37.48 tok/sEstimated | 1GB (have 12GB) |
| Qwen/Qwen3-4B-Instruct-2507 | Q8 | Fits comfortably | 14.28 tok/sEstimated | 4GB (have 12GB) |
| Qwen/Qwen3-4B-Instruct-2507 | Q4 | Fits comfortably | 21.56 tok/sEstimated | 2GB (have 12GB) |
| trl-internal-testing/tiny-Qwen2ForCausalLM-2.5 | Q8 | Fits comfortably | 12.75 tok/sEstimated | 7GB (have 12GB) |
| trl-internal-testing/tiny-Qwen2ForCausalLM-2.5 | Q4 | Fits comfortably | 17.28 tok/sEstimated | 4GB (have 12GB) |
| TinyLlama/TinyLlama-1.1B-Chat-v1.0 | Q8 | Fits comfortably | 26.15 tok/sEstimated | 1GB (have 12GB) |
| TinyLlama/TinyLlama-1.1B-Chat-v1.0 | Q4 | Fits comfortably | 38.62 tok/sEstimated | 1GB (have 12GB) |
| facebook/opt-125m | Q8 | Fits comfortably | 11.90 tok/sEstimated | 7GB (have 12GB) |
| facebook/opt-125m | Q4 | Fits comfortably | 18.71 tok/sEstimated | 4GB (have 12GB) |
| Qwen/Qwen2.5-1.5B-Instruct | Q8 | Fits comfortably | 14.45 tok/sEstimated | 5GB (have 12GB) |
| Qwen/Qwen2.5-1.5B-Instruct | Q4 | Fits comfortably | 21.72 tok/sEstimated | 3GB (have 12GB) |
| Qwen/Qwen3-Embedding-0.6B | Q8 | Fits comfortably | 11.79 tok/sEstimated | 6GB (have 12GB) |
| Qwen/Qwen3-Embedding-0.6B | Q4 | Fits comfortably | 19.05 tok/sEstimated | 3GB (have 12GB) |
| google/gemma-3-1b-it | Q8 | Fits comfortably | 23.29 tok/sEstimated | 1GB (have 12GB) |
| google/gemma-3-1b-it | Q4 | Fits comfortably | 37.84 tok/sEstimated | 1GB (have 12GB) |
| openai/gpt-oss-20b | Q8 | Not supported | — | 20GB (have 12GB) |
| openai/gpt-oss-20b | Q4 | Fits comfortably | 10.87 tok/sEstimated | 10GB (have 12GB) |
| dphn/dolphin-2.9.1-yi-1.5-34b | Q8 | Not supported | — | 34GB (have 12GB) |
| dphn/dolphin-2.9.1-yi-1.5-34b | Q4 | Not supported | — | 17GB (have 12GB) |
| meta-llama/Llama-3.1-8B-Instruct | Q8 | Fits comfortably | 11.61 tok/sEstimated | 8GB (have 12GB) |
| meta-llama/Llama-3.1-8B-Instruct | Q4 | Fits comfortably | 15.38 tok/sEstimated | 4GB (have 12GB) |
| Gensyn/Qwen2.5-0.5B-Instruct | Q8 | Fits comfortably | 12.73 tok/sEstimated | 5GB (have 12GB) |
| Gensyn/Qwen2.5-0.5B-Instruct | Q4 | Fits comfortably | 18.93 tok/sEstimated | 3GB (have 12GB) |
| Qwen/Qwen3-0.6B | Q8 | Fits comfortably | 12.78 tok/sEstimated | 6GB (have 12GB) |
| Qwen/Qwen3-0.6B | Q4 | Fits comfortably | 20.20 tok/sEstimated | 3GB (have 12GB) |
| Qwen/Qwen2.5-7B-Instruct | Q8 | Fits comfortably | 11.25 tok/sEstimated | 7GB (have 12GB) |
| Qwen/Qwen2.5-7B-Instruct | Q4 | Fits comfortably | 16.10 tok/sEstimated | 4GB (have 12GB) |
| openai-community/gpt2 | Q8 | Fits comfortably | 12.05 tok/sEstimated | 7GB (have 12GB) |
| openai-community/gpt2 | Q4 | Fits comfortably | 17.15 tok/sEstimated | 4GB (have 12GB) |
Note: Performance estimates are calculated. Real results may vary. Methodology · Submit real data
Data-backed answers pulled from community benchmarks, manufacturer specs, and live pricing.
Even with modest specs, a 12 GB RTX 3060 can drive 7B Q8 quant models at over 60 tokens/sec—fast enough for iterative coding and agents.
Source: Reddit – /r/LocalLLaMA (l6nfptd)
One builder running three RTX 3060 cards reports Gemma 3 27B Q4 at ~15 tok/sec, Mistral 24B Q4 at ~18 tok/sec, and DeepSeek R1 32B Q4 at ~20 tok/sec via Ollama.
Source: Reddit – /r/LocalLLaMA (mo6ttds)
Not always—2× RTX 3060 was projected to hit ~29 tok/sec on DeepSeek R1 32B (16K ctx), but real benchmarks landed closer to 14 tok/sec.
Source: Reddit – /r/LocalLLaMA (mq781cj)
A dual-Xeon workstation without GPU offload only mustered ~1.68 tok/sec on DeepSeek R1 Q4—showing why even a single 3060 is a major upgrade.
Source: Reddit – /r/LocalLLaMA (mm9ladj)
RTX 3060 12 GB draws 170 W, uses an 8-pin PCIe connector, and NVIDIA recommends a 550 W PSU. On 3 Nov 2025 the card was $329 at Amazon and Best Buy (in stock) and $339 at Newegg.
Source: TechPowerUp – RTX 3060 Specs
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.