AI model developers

Find every tracked developer and jump straight to their models and hardware guidance.

Qwen
57 models
Qwen publishes models from 3B to 235B parameters focused on workstation-grade inference.
3B - 235B • Pricing soon
meta-llama
20 models
meta-llama publishes models from 1B to 71B parameters focused on workstation-grade inference.
1B - 71B • From $1,499
deepseek-ai
16 models
deepseek-ai publishes models from 3B to 685B parameters focused on workstation-grade inference.
3B - 685B • From $1,599
microsoft
13 models
microsoft publishes models from 4B to 14B parameters focused on edge-friendly quantizations.
4B - 14B • Pricing soon
lmstudio-community
9 models
lmstudio-community publishes models from 4B to 30B parameters focused on workstation-grade inference.
4B - 30B • From $1,499
unsloth
9 models
unsloth publishes models from 1B to 32B parameters focused on edge-friendly quantizations.
1B - 32B • Pricing soon
mistralai
8 models
mistralai publishes models from 7B to 675B parameters focused on high-throughput coders.
7B - 675B • From $899
google
7 models
google publishes models from 0B to 27B parameters focused on lightweight edge deployment.
0B - 27B • From $1,599
openai-community
4 models
openai-community publishes models from 7B to 7B parameters focused on edge-friendly quantizations.
7B • From $999
ibm-granite
3 models
ibm-granite publishes models from 2B to 8B parameters focused on edge-friendly quantizations.
2B - 8B • From $1,499
MiniMaxAI
3 models
MiniMaxAI publishes models from 7B to 456B parameters focused on workstation-grade inference.
7B - 456B • From $599
moonshotai
3 models
moonshotai publishes models from 7B to 1000B parameters focused on workstation-grade inference.
7B - 1000B • From $1,499
NousResearch
3 models
NousResearch publishes models from 8B to 71B parameters focused on workstation-grade inference.
8B - 71B • From $899
nvidia
3 models
nvidia publishes models from 7B to 71B parameters focused on workstation-grade inference.
7B - 71B • From $499
openai
3 models
openai publishes models from 20B to 120B parameters focused on workstation-grade inference.
20B - 120B • From $999
RedHatAI
3 models
RedHatAI publishes models from 70B to 90B parameters focused on workstation-grade inference.
70B - 90B • From $1,499
trl-internal-testing
3 models
trl-internal-testing publishes models from 7B to 7B parameters focused on edge-friendly quantizations.
7B • Pricing soon
zai-org
3 models
zai-org publishes models from 7B to 358B parameters focused on workstation-grade inference.
7B - 358B • From $799
allenai
2 models
allenai publishes models from 1B to 7B parameters focused on edge-friendly quantizations.
1B - 7B • From $799
black-forest-labs
2 models
black-forest-labs publishes models from 7B to 7B parameters focused on edge-friendly quantizations.
7B • From $899
EleutherAI
2 models
EleutherAI publishes models from 7B to 7B parameters focused on edge-friendly quantizations.
7B • From $999
facebook
2 models
facebook publishes models from 1B to 7B parameters focused on edge-friendly quantizations.
1B - 7B • From $799
GSAI-ML
2 models
GSAI-ML publishes models from 8B to 8B parameters focused on edge-friendly quantizations.
8B • From $999
HuggingFaceTB
2 models
HuggingFaceTB publishes models from 7B to 7B parameters focused on edge-friendly quantizations.
7B • From $1,199
tencent
2 models
tencent publishes models from 1B to 7B parameters focused on edge-friendly quantizations.
1B - 7B • From $799
01-ai
1 models
01-ai publishes models from 34B to 34B parameters focused on workstation-grade inference.
34B • From $1,599
ai-forever
1 models
ai-forever publishes models from 13B to 13B parameters focused on edge-friendly quantizations.
13B • From $499
AI-MO
1 models
AI-MO publishes models from 72B to 72B parameters focused on workstation-grade inference.
72B • From $599
Alibaba-NLP
1 models
Alibaba-NLP publishes models from 5B to 5B parameters focused on edge-friendly quantizations.
5B • From $329
apple
1 models
apple publishes models from 1B to 1B parameters focused on edge-friendly quantizations.
1B • From $799
baichuan-inc
1 models
baichuan-inc publishes models from 32B to 32B parameters focused on workstation-grade inference.
32B • From $499
bigcode
1 models
bigcode publishes models from 3B to 3B parameters focused on edge-friendly quantizations.
3B • From $599
bigscience
1 models
bigscience publishes models from 7B to 7B parameters focused on edge-friendly quantizations.
7B • From $799
BSC-LT
1 models
BSC-LT publishes models from 7B to 7B parameters focused on edge-friendly quantizations.
7B • From $329
codellama
1 models
codellama publishes models from 34B to 34B parameters focused on workstation-grade inference.
34B • Pricing soon
context-labs
1 models
context-labs publishes models from 3B to 3B parameters focused on edge-friendly quantizations.
3B • From $599
dicta-il
1 models
dicta-il publishes models from 7B to 7B parameters focused on edge-friendly quantizations.
7B • From $329
distilbert
1 models
distilbert publishes models from 7B to 7B parameters focused on edge-friendly quantizations.
7B • From $599
dphn
1 models
dphn publishes models from 34B to 34B parameters focused on workstation-grade inference.
34B • From $329
EssentialAI
1 models
EssentialAI publishes models from 8B to 8B parameters focused on edge-friendly quantizations.
8B • From $999
Gensyn
1 models
Gensyn publishes models from 5B to 5B parameters focused on edge-friendly quantizations.
5B • From $499
google-bert
1 models
google-bert publishes models from 0B to 0B parameters focused on edge-friendly quantizations.
0B • From $799
google-t5
1 models
google-t5 publishes models from 3B to 3B parameters focused on edge-friendly quantizations.
3B • From $499
hmellor
1 models
hmellor publishes models from 7B to 7B parameters focused on edge-friendly quantizations.
7B • From $499
HuggingFaceH4
1 models
HuggingFaceH4 publishes models from 7B to 7B parameters focused on edge-friendly quantizations.
7B • From $799
HuggingFaceM4
1 models
HuggingFaceM4 publishes models from 7B to 7B parameters focused on edge-friendly quantizations.
7B • From $499
huggyllama
1 models
huggyllama publishes models from 7B to 7B parameters focused on edge-friendly quantizations.
7B • From $599
ibm-research
1 models
ibm-research publishes models from 3B to 3B parameters focused on edge-friendly quantizations.
3B • From $799
IlyaGusev
1 models
IlyaGusev publishes models from 8B to 8B parameters focused on edge-friendly quantizations.
8B • From $499
inference-net
1 models
inference-net publishes models from 3B to 3B parameters focused on edge-friendly quantizations.
3B • From $799
kaitchup
1 models
kaitchup publishes models from 4B to 4B parameters focused on edge-friendly quantizations.
4B • From $799
LiquidAI
1 models
LiquidAI publishes models from 2B to 2B parameters focused on edge-friendly quantizations.
2B • From $999
liuhaotian
1 models
liuhaotian publishes models from 7B to 7B parameters focused on edge-friendly quantizations.
7B • From $599
llamafactory
1 models
llamafactory publishes models from 7B to 7B parameters focused on edge-friendly quantizations.
7B • From $329
lmsys
1 models
lmsys publishes models from 7B to 7B parameters focused on edge-friendly quantizations.
7B • From $799
mlx-community
1 models
mlx-community publishes models from 20B to 20B parameters focused on workstation-grade inference.
20B • From $329
nari-labs
1 models
nari-labs publishes models from 2B to 2B parameters focused on edge-friendly quantizations.
2B • From $899
numind
1 models
numind publishes models from 7B to 7B parameters focused on edge-friendly quantizations.
7B • From $499
OpenPipe
1 models
OpenPipe publishes models from 14B to 14B parameters focused on edge-friendly quantizations.
14B • From $799
parler-tts
1 models
parler-tts publishes models from 7B to 7B parameters focused on edge-friendly quantizations.
7B • From $799
petals-team
1 models
petals-team publishes models from 7B to 7B parameters focused on edge-friendly quantizations.
7B • From $599
rednote-hilab
1 models
rednote-hilab publishes models from 7B to 7B parameters focused on edge-friendly quantizations.
7B • From $799
rinna
1 models
rinna publishes models from 7B to 7B parameters focused on edge-friendly quantizations.
7B • From $329
skt
1 models
skt publishes models from 7B to 7B parameters focused on edge-friendly quantizations.
7B • From $799
sshleifer
1 models
sshleifer publishes models from 7B to 7B parameters focused on edge-friendly quantizations.
7B • From $899
swiss-ai
1 models
swiss-ai publishes models from 8B to 8B parameters focused on edge-friendly quantizations.
8B • From $599
TinyLlama
1 models
TinyLlama publishes models from 1B to 1B parameters focused on edge-friendly quantizations.
1B • From $499
Tongyi-MAI
1 models
Tongyi-MAI publishes models from 7B to 7B parameters focused on edge-friendly quantizations.
7B • From $499
vikhyatk
1 models
vikhyatk publishes models from 7B to 7B parameters focused on edge-friendly quantizations.
7B • From $499
WeiboAI
1 models
WeiboAI publishes models from 2B to 2B parameters focused on edge-friendly quantizations.
2B • From $599
XiaomiMiMo
1 models
XiaomiMiMo publishes models from 310B to 310B parameters focused on workstation-grade inference.
310B • From $899