{
  "name": "Open Weight Models Registry",
  "canonical_url": "https://openweightmodels.github.io/",
  "project_hugging_face": "https://huggingface.co/open-weight",
  "last_verified": "2026-09-26",
  "scope_note": "Curated family-level reference with 25 selected families. Model-specific licenses and technical requirements must be verified against the linked primary source before deployment.",
  "models": [
    {
      "family": "gpt-oss",
      "developer": "OpenAI",
      "examples": "gpt-oss-20b · gpt-oss-120b",
      "architecture": "MoE reasoning models",
      "size": "20B / 120B class",
      "context": "See official model card",
      "license": "Apache 2.0 + usage policy",
      "license_type": "permissive",
      "focus": "Reasoning, tool use, self-hosted inference",
      "source": "https://openai.com/open-models/",
      "hub": "https://huggingface.co/collections/openai/gpt-oss",
      "verified": "2026-09-26"
    },
    {
      "family": "Llama 4",
      "developer": "Meta",
      "examples": "Scout 17B-16E · Maverick 17B-128E",
      "architecture": "Mixture-of-Experts, multimodal",
      "size": "17B active class",
      "context": "Scout 10M · Maverick 1M",
      "license": "Llama 4 Community License",
      "license_type": "custom",
      "focus": "General-purpose, multimodal, long context",
      "source": "https://github.com/meta-llama/llama-models",
      "hub": "https://huggingface.co/meta-llama",
      "verified": "2026-09-26"
    },
    {
      "family": "Qwen3",
      "developer": "Qwen / Alibaba",
      "examples": "0.6B–32B dense · 30B-A3B · 235B-A22B",
      "architecture": "Dense + Mixture-of-Experts",
      "size": "0.6B–235B total",
      "context": "Up to 256K; selected variants extend further",
      "license": "Apache 2.0",
      "license_type": "permissive",
      "focus": "Reasoning, coding, multilingual, agents",
      "source": "https://github.com/QwenLM/Qwen3",
      "hub": "https://huggingface.co/Qwen",
      "verified": "2026-09-26"
    },
    {
      "family": "Mistral Small 4",
      "developer": "Mistral AI",
      "examples": "Mistral-Small-4-119B-2603",
      "architecture": "Granular Mixture-of-Experts, multimodal",
      "size": "119B total · 6.5B active/token",
      "context": "256K",
      "license": "Apache 2.0",
      "license_type": "permissive",
      "focus": "Reasoning, vision, agents, multilingual",
      "source": "https://huggingface.co/mistralai/Mistral-Small-4-119B-2603",
      "hub": "https://huggingface.co/mistralai",
      "verified": "2026-09-26"
    },
    {
      "family": "DeepSeek-V3.2",
      "developer": "DeepSeek",
      "examples": "DeepSeek-V3.2",
      "architecture": "Large MoE reasoning model",
      "size": "685B parameters",
      "context": "See official model card",
      "license": "MIT",
      "license_type": "permissive",
      "focus": "Reasoning, coding, tool use, agentic AI",
      "source": "https://huggingface.co/deepseek-ai/DeepSeek-V3.2",
      "hub": "https://huggingface.co/deepseek-ai",
      "verified": "2026-09-26"
    },
    {
      "family": "Kimi K2",
      "developer": "Moonshot AI",
      "examples": "Kimi-K2-Base · Instruct · Thinking",
      "architecture": "Mixture-of-Experts",
      "size": "1T total · 32B active",
      "context": "128K (K2 base card)",
      "license": "Modified MIT",
      "license_type": "modified",
      "focus": "Agentic intelligence, coding, reasoning",
      "source": "https://huggingface.co/moonshotai/Kimi-K2-Base",
      "hub": "https://huggingface.co/collections/moonshotai/kimi-k2",
      "verified": "2026-09-26"
    },
    {
      "family": "GLM-4.5",
      "developer": "Z.ai",
      "examples": "GLM-4.5 · GLM-4.5-Air",
      "architecture": "Mixture-of-Experts, hybrid reasoning",
      "size": "355B-A32B · 106B-A12B",
      "context": "See official model card",
      "license": "MIT",
      "license_type": "permissive",
      "focus": "Agents, reasoning, coding, tool use",
      "source": "https://huggingface.co/zai-org/GLM-4.5",
      "hub": "https://huggingface.co/zai-org",
      "verified": "2026-09-26"
    },
    {
      "family": "Phi-4",
      "developer": "Microsoft",
      "examples": "Phi-4 · Phi-4 mini · reasoning · multimodal",
      "architecture": "Dense small-language-model family",
      "size": "14B base Phi-4; family includes smaller variants",
      "context": "16K on Phi-4 model card",
      "license": "MIT",
      "license_type": "permissive",
      "focus": "Reasoning, constrained compute, multimodal variants",
      "source": "https://huggingface.co/microsoft/phi-4",
      "hub": "https://huggingface.co/collections/microsoft/phi-4",
      "verified": "2026-09-26"
    },
    {
      "family": "Granite 4.2",
      "developer": "IBM",
      "examples": "Granite 4.2 3B · 8B · 30B",
      "architecture": "Dense reasoning language models",
      "size": "3B · 8B · 30B",
      "context": "128K native; longer extension documented",
      "license": "Apache 2.0",
      "license_type": "permissive",
      "focus": "Enterprise, reasoning, code, tools, multilingual",
      "source": "https://huggingface.co/ibm-granite/granite-4.2-8b",
      "hub": "https://huggingface.co/ibm-granite",
      "verified": "2026-09-26"
    },
    {
      "family": "Gemma 3",
      "developer": "Google DeepMind",
      "examples": "Gemma 3 family",
      "architecture": "Dense multimodal family",
      "size": "Multiple sizes",
      "context": "See official model card",
      "license": "Gemma Terms",
      "license_type": "custom",
      "focus": "Multimodal, multilingual, local / on-device use",
      "source": "https://ai.google.dev/gemma/docs/core/model_card_3",
      "hub": "https://huggingface.co/google",
      "verified": "2026-09-26"
    },
    {
      "family": "MiniMax-M2",
      "developer": "MiniMax",
      "examples": "MiniMax-M2",
      "architecture": "Large language model",
      "size": "See official model card",
      "context": "See official model card",
      "license": "Modified MIT",
      "license_type": "modified",
      "focus": "General-purpose, coding, agentic workloads",
      "source": "https://huggingface.co/MiniMaxAI/MiniMax-M2",
      "hub": "https://huggingface.co/MiniMaxAI",
      "verified": "2026-09-26"
    },
    {
      "family": "Nemotron 3 Nano",
      "developer": "NVIDIA",
      "examples": "NVIDIA-Nemotron-3-Nano-4B",
      "architecture": "Compact language-model family",
      "size": "4B class",
      "context": "See official model card",
      "license": "NVIDIA Nemotron Open Model License",
      "license_type": "custom",
      "focus": "Local inference, compact deployment, NVIDIA ecosystem",
      "source": "https://huggingface.co/nvidia/NVIDIA-Nemotron-3-Nano-4B-GGUF",
      "hub": "https://huggingface.co/nvidia",
      "verified": "2026-09-26"
    },
    {
      "family": "DeepSeek-R1",
      "developer": "DeepSeek",
      "examples": [
        "DeepSeek-R1",
        "DeepSeek-R1-Zero"
      ],
      "weights_available": true,
      "architecture": "Mixture-of-Experts reasoning model",
      "size": "671B total · 37B active",
      "context": "128K",
      "license": "MIT",
      "license_type": "permissive",
      "focus": [
        "reasoning",
        "math",
        "coding",
        "distillation"
      ],
      "official_source": "https://huggingface.co/deepseek-ai/DeepSeek-R1",
      "hub": "https://huggingface.co/deepseek-ai",
      "verified": "2026-09-26"
    },
    {
      "family": "Qwen3-Coder",
      "developer": "Qwen / Alibaba",
      "examples": [
        "Qwen3-Coder-480B-A35B-Instruct"
      ],
      "weights_available": true,
      "architecture": "Mixture-of-Experts code model",
      "size": "480B total · 35B active",
      "context": "256K native · extendable to 1M",
      "license": "Apache 2.0",
      "license_type": "permissive",
      "focus": [
        "agentic coding",
        "repository understanding",
        "tool use"
      ],
      "official_source": "https://huggingface.co/Qwen/Qwen3-Coder-480B-A35B-Instruct",
      "hub": "https://huggingface.co/Qwen",
      "verified": "2026-09-26"
    },
    {
      "family": "Qwen3-VL",
      "developer": "Qwen / Alibaba",
      "examples": [
        "Qwen3-VL-235B-A22B-Instruct",
        "Qwen3-VL Thinking variants"
      ],
      "weights_available": true,
      "architecture": "Dense + MoE vision-language family",
      "size": "Up to 235B total · 22B active",
      "context": "256K native · expandable to 1M",
      "license": "Apache 2.0",
      "license_type": "permissive",
      "focus": [
        "vision-language",
        "visual agents",
        "video",
        "OCR",
        "spatial reasoning"
      ],
      "official_source": "https://huggingface.co/Qwen/Qwen3-VL-235B-A22B-Instruct",
      "hub": "https://huggingface.co/Qwen",
      "verified": "2026-09-26"
    },
    {
      "family": "OLMo 3",
      "developer": "Ai2",
      "examples": [
        "OLMo 3 7B",
        "OLMo 3 32B",
        "Instruct",
        "Think"
      ],
      "weights_available": true,
      "architecture": "Transformer language-model family",
      "size": "7B · 32B",
      "context": "65,536",
      "license": "Apache 2.0",
      "license_type": "permissive",
      "focus": [
        "fully open research",
        "reasoning",
        "instruction following"
      ],
      "official_source": "https://huggingface.co/allenai/Olmo-3-1125-32B",
      "hub": "https://huggingface.co/allenai",
      "verified": "2026-09-26"
    },
    {
      "family": "SmolLM3",
      "developer": "Hugging Face",
      "examples": [
        "SmolLM3-3B",
        "SmolLM3-3B-Base"
      ],
      "weights_available": true,
      "architecture": "Decoder-only Transformer with GQA / NoPE layers",
      "size": "3B",
      "context": "64K trained · up to 128K with YaRN",
      "license": "Apache 2.0",
      "license_type": "permissive",
      "focus": [
        "small models",
        "reasoning",
        "multilingual",
        "local inference",
        "tool use"
      ],
      "official_source": "https://huggingface.co/HuggingFaceTB/SmolLM3-3B",
      "hub": "https://huggingface.co/HuggingFaceTB",
      "verified": "2026-09-26"
    },
    {
      "family": "Command A",
      "developer": "Cohere Labs",
      "examples": [
        "c4ai-command-a-03-2025"
      ],
      "weights_available": true,
      "architecture": "Dense enterprise language model",
      "size": "111B",
      "context": "256K supported",
      "license": "CC BY-NC 4.0 + AUP",
      "license_type": "custom",
      "focus": [
        "enterprise",
        "agents",
        "multilingual",
        "RAG",
        "tool use"
      ],
      "official_source": "https://huggingface.co/CohereLabs/c4ai-command-a-03-2025",
      "hub": "https://huggingface.co/CohereLabs",
      "verified": "2026-09-26"
    },
    {
      "family": "Falcon-H1",
      "developer": "Technology Innovation Institute",
      "examples": [
        "Falcon-H1-34B-Instruct",
        "Falcon-H1-34B-Base"
      ],
      "weights_available": true,
      "architecture": "Hybrid Transformer + Mamba",
      "size": "34B",
      "context": "See official model card",
      "license": "Falcon LLM License",
      "license_type": "custom",
      "focus": [
        "multilingual",
        "general-purpose",
        "efficient sequence modeling"
      ],
      "official_source": "https://huggingface.co/tiiuae/Falcon-H1-34B-Instruct",
      "hub": "https://huggingface.co/tiiuae",
      "verified": "2026-09-26"
    },
    {
      "family": "InternLM3",
      "developer": "InternLM",
      "examples": [
        "InternLM3-8B-Instruct"
      ],
      "weights_available": true,
      "architecture": "Causal language model",
      "size": "8B",
      "context": "See official model card",
      "license": "Apache 2.0",
      "license_type": "permissive",
      "focus": [
        "general-purpose",
        "reasoning",
        "knowledge-intensive tasks"
      ],
      "official_source": "https://huggingface.co/internlm/internlm3-8b-instruct",
      "hub": "https://huggingface.co/internlm",
      "verified": "2026-09-26"
    },
    {
      "family": "Yi-1.5",
      "developer": "01.AI",
      "examples": [
        "Yi-1.5-6B",
        "Yi-1.5-9B",
        "Yi-1.5-34B"
      ],
      "weights_available": true,
      "architecture": "Dense language-model family",
      "size": "6B · 9B · 34B",
      "context": "4K · 16K · 32K variants",
      "license": "Apache 2.0",
      "license_type": "permissive",
      "focus": [
        "general-purpose",
        "coding",
        "math",
        "reasoning"
      ],
      "official_source": "https://huggingface.co/01-ai/Yi-1.5-34B",
      "hub": "https://huggingface.co/01-ai",
      "verified": "2026-09-26"
    },
    {
      "family": "Hunyuan-A13B",
      "developer": "Tencent",
      "examples": [
        "Hunyuan-A13B-Instruct"
      ],
      "weights_available": true,
      "architecture": "Mixture-of-Experts language model",
      "size": "A13B family",
      "context": "See official model card",
      "license": "Tencent Hunyuan Community License",
      "license_type": "custom",
      "focus": [
        "general-purpose",
        "reasoning",
        "tool use"
      ],
      "official_source": "https://huggingface.co/tencent/Hunyuan-A13B-Instruct",
      "hub": "https://huggingface.co/tencent",
      "license_note": "The A13B license defines a territory excluding the EU, UK and South Korea. Verify eligibility before use.",
      "verified": "2026-09-26"
    },
    {
      "family": "ERNIE 4.5",
      "developer": "Baidu",
      "examples": [
        "ERNIE-4.5-300B-A47B-Base"
      ],
      "weights_available": true,
      "architecture": "Heterogeneous Mixture-of-Experts",
      "size": "300B total · 47B active",
      "context": "131,072",
      "license": "Apache 2.0",
      "license_type": "permissive",
      "focus": [
        "general language",
        "long context",
        "multimodal family variants"
      ],
      "official_source": "https://huggingface.co/baidu/ERNIE-4.5-300B-A47B-Base-Paddle",
      "hub": "https://huggingface.co/baidu",
      "verified": "2026-09-26"
    },
    {
      "family": "Devstral",
      "developer": "Mistral AI / All Hands AI",
      "examples": [
        "Devstral Small 1.1"
      ],
      "weights_available": true,
      "architecture": "Dense text-only coding model",
      "size": "24B",
      "context": "128K",
      "license": "Apache 2.0",
      "license_type": "permissive",
      "focus": [
        "agentic coding",
        "software engineering",
        "repository editing"
      ],
      "official_source": "https://huggingface.co/mistralai/Devstral-Small-2507",
      "hub": "https://huggingface.co/mistralai",
      "verified": "2026-09-26"
    },
    {
      "family": "Magistral",
      "developer": "Mistral AI",
      "examples": [
        "Magistral Small 1.0"
      ],
      "weights_available": true,
      "architecture": "Dense reasoning language model",
      "size": "24B",
      "context": "128K advertised · 40K recommended for best performance",
      "license": "Apache 2.0",
      "license_type": "permissive",
      "focus": [
        "reasoning",
        "math",
        "multilingual",
        "local deployment"
      ],
      "official_source": "https://huggingface.co/mistralai/Magistral-Small-2506",
      "hub": "https://huggingface.co/mistralai",
      "verified": "2026-09-26"
    }
  ],
  "scope": "Curated registry of 25 selected open-weight model families. Verify model-specific cards and licenses before deployment."
}