Model registry
Open-source LLMs
The major open-source LLMs anyone can download and run. Each page shows the model's size, its license, how much memory it needs at different precisions, and which GPUs actually fit it.
Kimi K2
1000 B paramsMoonshot AI · Modified MIT · released 2025-07-11 · MoE (1T total, 32B active per token)
DeepSeek V3
671 B paramsDeepSeek · MIT · released 2024-12-26 · MoE (671B total, 37B active per token)
DeepSeek R1
671 B paramsDeepSeek · MIT · released 2025-01-20 · MoE (671B total, 37B active per token)
Llama 3.1 405B
405 B paramsMeta · Llama 3.1 Community License · released 2024-07-23 · dense
Mixtral 8x22B
141 B paramsMistral AI · Apache 2.0 · released 2024-04-17 · MoE (141B total, 39B active per token)
Command R+
104 B paramsCohere · CC-BY-NC-4.0 (non-commercial) · released 2024-04-04 · dense
Qwen 2.5 72B
72 B paramsAlibaba · Qwen License (72B only) · released 2024-09-19 · dense
Llama 3.1 70B
70 B paramsMeta · Llama 3.1 Community License · released 2024-07-23 · dense
Llama 3.3 70B
70 B paramsMeta · Llama 3.3 Community License · released 2024-12-06 · dense
Mixtral 8x7B
46.7 B paramsMistral AI · Apache 2.0 · released 2023-12-11 · MoE (46.7B total, 12.9B active per token)
Gemma 2 27B
27 B paramsGoogle · Gemma Terms of Use · released 2024-06-27 · dense
Llama 3.1 8B
8 B paramsMeta · Llama 3.1 Community License · released 2024-07-23 · dense
Qwen 2.5 7B
7 B paramsAlibaba · Apache 2.0 · released 2024-09-19 · dense
See also: every AI chip we track · rack designs · chip comparisons.