# AI Open Weight Models
AI models whose trained weights are publicly released, allowing anyone to download, run, fine-tune, and deploy them. "Open weight" is more precise than "open source" because most releases don't include training code or data.
Key families: Llama (Meta), Mistral/Mixtral (Mistral AI), Gemma ([[Google DeepMind]]), Qwen (Alibaba), Phi (Microsoft), DeepSeek (see [[DeepSeek v4]] — currently the largest open-weights model at 1.6T total / 49B active params), [[GLM-5.2]] ([[Zhipu AI (Z.ai)]], 1M context, ~753B/40B; leading open-weight on the AA Intelligence Index at its June 2026 release), Kimi K2 ([[Moonshot AI]], see [[Kimi K2.6]] and [[Kimi K2.5]]), [[Granite 4.1|Granite]] (IBM — dense, enterprise-targeted, [[Apache 2.0 License|Apache 2.0]]).
Significance: democratizes AI access, enables local/private deployment, reduces vendor lock-in, enables community fine-tuning. Tension with safety: open weights can't be un-released, making misuse harder to prevent.
## Open-weight model notes
Auto-populated from notes carrying `ai/open_weight`. Tag a note rather than editing this list to add a model.
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- [[2026-04-21 Kimi K2.6, Qwen, and Gemma 4 - Local AI Is Catching Up]]
- [[Baichuan]]
- [[Georgi Gerganov Machine Learning (GGML)]]
- [[GPT-Generated Unified Format (GGUF)]]
- [[Granite]]
- [[Hermes]]
- [[Kimi]]
- [[Kimi K2.5]]
- [[llama.cpp]]
- [[Mistral.rs]]
- [[Moonshot AI]]
- [[Nous Research]]
- [[Safetensors]]
- [[Stability AI]]
- [[Unsloth]]
- [[Zhipu AI (Z.ai)]]
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## References
## Related
- [[Large Language Models (LLMs)]]
- [[Knowledge Distillation]]
- [[Low Rank Adapter (LoRA)]]
- [[Atropos]]
- [[Tinker]]
- [[Axolotl]]