Index

Models

48 models across 11 families, with architecture pulled from each repository's config.

Llama

7 models · 1.2B–405.9B

Llama 3.1 405B
405.9B · 126 layers Llama 4 Maverick 400B-A17B
400B · 17B active · 48 layers Llama 4 Scout 109B-A17B
109B · 17B active · 48 layers Llama 3.1 70B
70.5B · 80 layers Llama 3.1 8B
8.0B · 32 layers Llama 3.2 3B
3.2B · 28 layers Llama 3.2 1B
1.2B · 16 layers

Qwen

14 models · 600M–235.1B

Qwen3 235B-A22B
235.1B · 22.1B active · 94 layers Qwen2.5 72B
72.7B · 80 layers Qwen3 32B
32.8B · 64 layers Qwen2.5 32B
32.8B · 64 layers Qwen2.5-Coder 32B
32.8B · 64 layers Qwen3 30B-A3B
30.5B · 3.3B active · 48 layers Qwen3 14B
14.8B · 40 layers Qwen2.5 14B
14.8B · 48 layers Qwen3 8B
8.2B · 36 layers Qwen2.5 7B
7.6B · 28 layers Qwen2.5-Coder 7B
7.6B · 28 layers Qwen3 4B
4.0B · 36 layers Qwen3 1.7B
1.7B · 28 layers Qwen3 0.6B
600M · 28 layers

DeepSeek

5 models · 8.0B–671B

DeepSeek-V3 671B-A37B
671B · 37B active · 61 layers DeepSeek-R1 671B-A37B
671B · 37B active · 61 layers DeepSeek-R1-Distill-Qwen 32B
32.8B · 64 layers DeepSeek-Coder-V2-Lite 16B-A2.4B
15.7B · 2.4B active · 27 layers DeepSeek-R1-Distill-Llama 8B
8.0B · 32 layers

Gemma

6 models · 1B–27.4B

Gemma 3 27B
27.4B · 62 layers Gemma 2 27B
27.2B · 46 layers Gemma 3 12B
12.2B · 48 layers Gemma 2 9B
9.2B · 42 layers Gemma 3 4B
4.3B · 34 layers Gemma 3 1B
1B · 26 layers

Mistral

7 models · 7.3B–140.6B

Mixtral 8x22B
140.6B · 39B active · 56 layers Mistral Large 2 123B
122.6B · 88 layers Mixtral 8x7B
46.7B · 12.9B active · 32 layers Mistral Small 24B
23.6B · 40 layers Codestral 22B
22.2B · 56 layers Mistral NeMo 12B
12.3B · 40 layers Mistral 7B v0.3
7.3B · 32 layers

OpenAI

2 models · 20.9B–116.8B

gpt-oss 120B-A5.1B
116.8B · 5.1B active · 36 layers gpt-oss 20B-A3.6B
20.9B · 3.6B active · 24 layers

Microsoft

2 models · 3.8B–14.7B

Phi-4 14B
14.7B · 40 layers Phi-4-mini 3.8B
3.8B · 32 layers

Cohere

2 models · 35.0B–103.8B

Command R+ 104B
103.8B · 64 layers Command R 35B
35.0B · 40 layers

Zhipu

1 model · 9.4B

GLM-4 9B
9.4B · 40 layers

01.AI

1 model · 34.4B

Yi-1.5 34B
34.4B · 60 layers

HuggingFace

1 model · 1.7B

SmolLM2 1.7B
1.7B · 24 layers