{
  "models": [
    {
      "id": "iq2_m",
      "label": "IQ2_M",
      "repo": "Accio-Lab/occamy-1.0-GGUF",
      "revision": "e8fe5e28e1b1c1f0cd0a39b85b16b631f17ca14e",
      "platform": "gguf",
      "description": "GGUF language weights for llama.cpp. Normalize prompt content to NFC.",
      "status": "Published",
      "command": "hf download Accio-Lab/occamy-1.0-GGUF occamy-1.0-IQ2_M.gguf --local-dir ./occamy-gguf\n\nllama-server -m ./occamy-gguf/occamy-1.0-IQ2_M.gguf \\\n  -ngl 999 -c 8192 -np 1 -fa on --jinja \\\n  --host 127.0.0.1 --port 8000 --alias occamy",
      "evidence": "B200 CUDA sample validation; published copies use qwen2 metadata. Full quality measurements used the documented qwen35 protocol. CPU and Mac execution were not established by these tests.",
      "file": "occamy-1.0-IQ2_M.gguf",
      "bytes": 11659235328,
      "vision": true,
      "url": "https://huggingface.co/Accio-Lab/occamy-1.0-GGUF",
      "download": "https://huggingface.co/Accio-Lab/occamy-1.0-GGUF/resolve/main/occamy-1.0-IQ2_M.gguf?download=true"
    },
    {
      "id": "q2_k",
      "label": "Q2_K",
      "repo": "Accio-Lab/occamy-1.0-GGUF",
      "revision": "e8fe5e28e1b1c1f0cd0a39b85b16b631f17ca14e",
      "platform": "gguf",
      "description": "GGUF language weights for llama.cpp. Normalize prompt content to NFC.",
      "status": "Published",
      "command": "hf download Accio-Lab/occamy-1.0-GGUF occamy-1.0-Q2_K.gguf --local-dir ./occamy-gguf\n\nllama-server -m ./occamy-gguf/occamy-1.0-Q2_K.gguf \\\n  -ngl 999 -c 8192 -np 1 -fa on --jinja \\\n  --host 127.0.0.1 --port 8000 --alias occamy",
      "evidence": "B200 CUDA sample validation; published copies use qwen2 metadata. Full quality measurements used the documented qwen35 protocol. CPU and Mac execution were not established by these tests.",
      "file": "occamy-1.0-Q2_K.gguf",
      "bytes": 12939593728,
      "vision": true,
      "url": "https://huggingface.co/Accio-Lab/occamy-1.0-GGUF",
      "download": "https://huggingface.co/Accio-Lab/occamy-1.0-GGUF/resolve/main/occamy-1.0-Q2_K.gguf?download=true"
    },
    {
      "id": "apex-i-mini",
      "label": "APEX I-Mini",
      "repo": "Accio-Lab/occamy-1.0-APEX-GGUF",
      "revision": "7c731908b05f5cbd19002b23d421aa102c0dd0de",
      "platform": "gguf",
      "description": "Upstream APEX I-Mini mixed precision, directly from BF16 with an independently collected importance matrix; all 256 experts covered in every layer. Normalize prompt content to NFC.",
      "status": "Experimental quality",
      "command": "hf download Accio-Lab/occamy-1.0-APEX-GGUF occamy-1.0-APEX-I-Mini.gguf --local-dir ./occamy-gguf\n\nllama-server -m ./occamy-gguf/occamy-1.0-APEX-I-Mini.gguf \\\n  -ngl 999 -c 8192 -np 1 -fa on --jinja \\\n  --host 127.0.0.1 --port 8000 --alias occamy",
      "evidence": "B200 native qwen2 + NFC: 20/20 authored cases; all authored cases passed; subset PPL 9.5643. All 733 tensors finite and 16/16 tokenizer probes. Full calibration coverage; calibrated does not mean better quality. Image, CPU and Mac were not retested.",
      "file": "occamy-1.0-APEX-I-Mini.gguf",
      "bytes": 13467210784,
      "vision": true,
      "url": "https://huggingface.co/Accio-Lab/occamy-1.0-APEX-GGUF",
      "download": "https://huggingface.co/Accio-Lab/occamy-1.0-APEX-GGUF/resolve/main/occamy-1.0-APEX-I-Mini.gguf?download=true"
    },
    {
      "id": "iq3_xs",
      "label": "IQ3_XS",
      "repo": "Accio-Lab/occamy-1.0-GGUF",
      "revision": "e8fe5e28e1b1c1f0cd0a39b85b16b631f17ca14e",
      "platform": "gguf",
      "description": "GGUF language weights for llama.cpp. Normalize prompt content to NFC.",
      "status": "Published",
      "command": "hf download Accio-Lab/occamy-1.0-GGUF occamy-1.0-IQ3_XS.gguf --local-dir ./occamy-gguf\n\nllama-server -m ./occamy-gguf/occamy-1.0-IQ3_XS.gguf \\\n  -ngl 999 -c 8192 -np 1 -fa on --jinja \\\n  --host 127.0.0.1 --port 8000 --alias occamy",
      "evidence": "B200 CUDA sample validation; published copies use qwen2 metadata. Full quality measurements used the documented qwen35 protocol. CPU and Mac execution were not established by these tests.",
      "file": "occamy-1.0-IQ3_XS.gguf",
      "bytes": 14484144128,
      "vision": true,
      "url": "https://huggingface.co/Accio-Lab/occamy-1.0-GGUF",
      "download": "https://huggingface.co/Accio-Lab/occamy-1.0-GGUF/resolve/main/occamy-1.0-IQ3_XS.gguf?download=true"
    },
    {
      "id": "q3_k_s",
      "label": "Q3_K_S",
      "repo": "Accio-Lab/occamy-1.0-GGUF",
      "revision": "6210e42ce97bc1b7c7ea58cab597e9b49ed523e5",
      "platform": "gguf",
      "description": "Standard mixed K-quant GGUF, generated directly from BF16 without calibration. Normalize prompt content to NFC.",
      "status": "Published",
      "command": "hf download Accio-Lab/occamy-1.0-GGUF occamy-1.0-Q3_K_S.gguf --local-dir ./occamy-gguf\n\nllama-server -m ./occamy-gguf/occamy-1.0-Q3_K_S.gguf \\\n  -ngl 999 -c 8192 -np 1 -fa on --jinja \\\n  --host 127.0.0.1 --port 8000 --alias occamy",
      "evidence": "Native qwen2 + NFC validation on B200: 19/20 authored cases, including executed Python and native tool round trips. Same Chinese JSON failure as BF16. 16/16 NFC tokenizer probes with special-token parsing. Vision, CPU and Mac execution were not tested for this addition.",
      "file": "occamy-1.0-Q3_K_S.gguf",
      "bytes": 15182184192,
      "vision": true,
      "url": "https://huggingface.co/Accio-Lab/occamy-1.0-GGUF",
      "download": "https://huggingface.co/Accio-Lab/occamy-1.0-GGUF/resolve/main/occamy-1.0-Q3_K_S.gguf?download=true"
    },
    {
      "id": "iq3_m",
      "label": "IQ3_M",
      "repo": "Accio-Lab/occamy-1.0-GGUF",
      "revision": "e8fe5e28e1b1c1f0cd0a39b85b16b631f17ca14e",
      "platform": "gguf",
      "description": "GGUF language weights for llama.cpp. Normalize prompt content to NFC.",
      "status": "Published",
      "command": "hf download Accio-Lab/occamy-1.0-GGUF occamy-1.0-IQ3_M.gguf --local-dir ./occamy-gguf\n\nllama-server -m ./occamy-gguf/occamy-1.0-IQ3_M.gguf \\\n  -ngl 999 -c 8192 -np 1 -fa on --jinja \\\n  --host 127.0.0.1 --port 8000 --alias occamy",
      "evidence": "B200 CUDA sample validation; published copies use qwen2 metadata. Full quality measurements used the documented qwen35 protocol. CPU and Mac execution were not established by these tests.",
      "file": "occamy-1.0-IQ3_M.gguf",
      "bytes": 15440519168,
      "vision": true,
      "url": "https://huggingface.co/Accio-Lab/occamy-1.0-GGUF",
      "download": "https://huggingface.co/Accio-Lab/occamy-1.0-GGUF/resolve/main/occamy-1.0-IQ3_M.gguf?download=true"
    },
    {
      "id": "apex-compact",
      "label": "APEX Compact",
      "repo": "Accio-Lab/occamy-1.0-APEX-GGUF",
      "revision": "7c731908b05f5cbd19002b23d421aa102c0dd0de",
      "platform": "gguf",
      "description": "Upstream APEX Compact MoE mixed-precision allocation, generated directly from BF16 without an importance matrix. Normalize prompt content to NFC.",
      "status": "Published",
      "command": "hf download Accio-Lab/occamy-1.0-APEX-GGUF occamy-1.0-APEX-Compact.gguf --local-dir ./occamy-gguf\n\nllama-server -m ./occamy-gguf/occamy-1.0-APEX-Compact.gguf \\\n  -ngl 999 -c 8192 -np 1 -fa on --jinja \\\n  --host 127.0.0.1 --port 8000 --alias occamy",
      "evidence": "B200 native qwen2 + NFC: 20/20 authored functional cases, including executed Python and tool round trips; subset PPL 8.4567. All 733 tensors finite and 16/16 tokenizer probes. Bounded checks; image, CPU and Mac execution were not tested.",
      "file": "occamy-1.0-APEX-Compact.gguf",
      "bytes": 16538851072,
      "vision": true,
      "url": "https://huggingface.co/Accio-Lab/occamy-1.0-APEX-GGUF",
      "download": "https://huggingface.co/Accio-Lab/occamy-1.0-APEX-GGUF/resolve/main/occamy-1.0-APEX-Compact.gguf?download=true"
    },
    {
      "id": "apex-i-compact",
      "label": "APEX I-Compact",
      "repo": "Accio-Lab/occamy-1.0-APEX-GGUF",
      "revision": "7c731908b05f5cbd19002b23d421aa102c0dd0de",
      "platform": "gguf",
      "description": "Upstream APEX I-Compact mixed precision, directly from BF16 with an independently collected importance matrix; all 256 experts covered in every layer. Normalize prompt content to NFC.",
      "status": "Published",
      "command": "hf download Accio-Lab/occamy-1.0-APEX-GGUF occamy-1.0-APEX-I-Compact.gguf --local-dir ./occamy-gguf\n\nllama-server -m ./occamy-gguf/occamy-1.0-APEX-I-Compact.gguf \\\n  -ngl 999 -c 8192 -np 1 -fa on --jinja \\\n  --host 127.0.0.1 --port 8000 --alias occamy",
      "evidence": "B200 native qwen2 + NFC: 19/20 authored cases; failed: json_4; subset PPL 8.5074. All 733 tensors finite and 16/16 tokenizer probes. Full calibration coverage; calibrated does not mean better quality. Image, CPU and Mac were not retested.",
      "file": "occamy-1.0-APEX-I-Compact.gguf",
      "bytes": 16538851360,
      "vision": true,
      "url": "https://huggingface.co/Accio-Lab/occamy-1.0-APEX-GGUF",
      "download": "https://huggingface.co/Accio-Lab/occamy-1.0-APEX-GGUF/resolve/main/occamy-1.0-APEX-I-Compact.gguf?download=true"
    },
    {
      "id": "q3_k_m",
      "label": "Q3_K_M",
      "repo": "Accio-Lab/occamy-1.0-GGUF",
      "revision": "e8fe5e28e1b1c1f0cd0a39b85b16b631f17ca14e",
      "platform": "gguf",
      "description": "GGUF language weights for llama.cpp. Normalize prompt content to NFC.",
      "status": "Published",
      "command": "hf download Accio-Lab/occamy-1.0-GGUF occamy-1.0-Q3_K_M.gguf --local-dir ./occamy-gguf\n\nllama-server -m ./occamy-gguf/occamy-1.0-Q3_K_M.gguf \\\n  -ngl 999 -c 8192 -np 1 -fa on --jinja \\\n  --host 127.0.0.1 --port 8000 --alias occamy",
      "evidence": "B200 CUDA sample validation; published copies use qwen2 metadata. Full quality measurements used the documented qwen35 protocol. CPU and Mac execution were not established by these tests.",
      "file": "occamy-1.0-Q3_K_M.gguf",
      "bytes": 16764764160,
      "vision": true,
      "url": "https://huggingface.co/Accio-Lab/occamy-1.0-GGUF",
      "download": "https://huggingface.co/Accio-Lab/occamy-1.0-GGUF/resolve/main/occamy-1.0-Q3_K_M.gguf?download=true"
    },
    {
      "id": "q3_k_l",
      "label": "Q3_K_L",
      "repo": "Accio-Lab/occamy-1.0-GGUF",
      "revision": "ba279c80f36eadc81d9cc182d16237abbeafea1e",
      "platform": "gguf",
      "description": "Standard GGUF recipe, generated directly from BF16 without calibration. Normalize prompt content to NFC.",
      "status": "Published",
      "command": "hf download Accio-Lab/occamy-1.0-GGUF occamy-1.0-Q3_K_L.gguf --local-dir ./occamy-gguf\n\nllama-server -m ./occamy-gguf/occamy-1.0-Q3_K_L.gguf \\\n  -ngl 999 -c 8192 -np 1 -fa on --jinja \\\n  --host 127.0.0.1 --port 8000 --alias occamy",
      "evidence": "Native qwen2 + NFC checks on B200: 20/20 authored functional cases; subset PPL 9.1110. Full finite-tensor scan and 16/16 NFC tokenizer probes with special parsing. Bounded tests; image, CPU and Mac execution were not tested for this addition.",
      "file": "occamy-1.0-Q3_K_L.gguf",
      "bytes": 18115329792,
      "vision": true,
      "url": "https://huggingface.co/Accio-Lab/occamy-1.0-GGUF",
      "download": "https://huggingface.co/Accio-Lab/occamy-1.0-GGUF/resolve/main/occamy-1.0-Q3_K_L.gguf?download=true"
    },
    {
      "id": "iq4_xs",
      "label": "IQ4_XS",
      "repo": "Accio-Lab/occamy-1.0-GGUF",
      "revision": "e8fe5e28e1b1c1f0cd0a39b85b16b631f17ca14e",
      "platform": "gguf",
      "description": "GGUF language weights for llama.cpp. Normalize prompt content to NFC.",
      "status": "Published",
      "command": "hf download Accio-Lab/occamy-1.0-GGUF occamy-1.0-IQ4_XS.gguf --local-dir ./occamy-gguf\n\nllama-server -m ./occamy-gguf/occamy-1.0-IQ4_XS.gguf \\\n  -ngl 999 -c 8192 -np 1 -fa on --jinja \\\n  --host 127.0.0.1 --port 8000 --alias occamy",
      "evidence": "B200 CUDA sample validation; published copies use qwen2 metadata. Full quality measurements used the documented qwen35 protocol. CPU and Mac execution were not established by these tests.",
      "file": "occamy-1.0-IQ4_XS.gguf",
      "bytes": 18728777728,
      "vision": true,
      "url": "https://huggingface.co/Accio-Lab/occamy-1.0-GGUF",
      "download": "https://huggingface.co/Accio-Lab/occamy-1.0-GGUF/resolve/main/occamy-1.0-IQ4_XS.gguf?download=true"
    },
    {
      "id": "q4_0",
      "label": "Q4_0",
      "repo": "Accio-Lab/occamy-1.0-GGUF",
      "revision": "ba279c80f36eadc81d9cc182d16237abbeafea1e",
      "platform": "gguf",
      "description": "Standard GGUF recipe, generated directly from BF16 without calibration. Normalize prompt content to NFC.",
      "status": "Published",
      "command": "hf download Accio-Lab/occamy-1.0-GGUF occamy-1.0-Q4_0.gguf --local-dir ./occamy-gguf\n\nllama-server -m ./occamy-gguf/occamy-1.0-Q4_0.gguf \\\n  -ngl 999 -c 8192 -np 1 -fa on --jinja \\\n  --host 127.0.0.1 --port 8000 --alias occamy",
      "evidence": "Native qwen2 + NFC checks on B200: 20/20 authored functional cases; subset PPL 8.4754. Full finite-tensor scan and 16/16 NFC tokenizer probes with special parsing. Bounded tests; image, CPU and Mac execution were not tested for this addition.",
      "file": "occamy-1.0-Q4_0.gguf",
      "bytes": 19715053312,
      "vision": true,
      "url": "https://huggingface.co/Accio-Lab/occamy-1.0-GGUF",
      "download": "https://huggingface.co/Accio-Lab/occamy-1.0-GGUF/resolve/main/occamy-1.0-Q4_0.gguf?download=true"
    },
    {
      "id": "iq4_nl",
      "label": "IQ4_NL",
      "repo": "Accio-Lab/occamy-1.0-GGUF",
      "revision": "e8fe5e28e1b1c1f0cd0a39b85b16b631f17ca14e",
      "platform": "gguf",
      "description": "GGUF language weights for llama.cpp. Normalize prompt content to NFC.",
      "status": "Published",
      "command": "hf download Accio-Lab/occamy-1.0-GGUF occamy-1.0-IQ4_NL.gguf --local-dir ./occamy-gguf\n\nllama-server -m ./occamy-gguf/occamy-1.0-IQ4_NL.gguf \\\n  -ngl 999 -c 8192 -np 1 -fa on --jinja \\\n  --host 127.0.0.1 --port 8000 --alias occamy",
      "evidence": "B200 CUDA sample validation; published copies use qwen2 metadata. Full quality measurements used the documented qwen35 protocol. CPU and Mac execution were not established by these tests.",
      "file": "occamy-1.0-IQ4_NL.gguf",
      "bytes": 19779278848,
      "vision": true,
      "url": "https://huggingface.co/Accio-Lab/occamy-1.0-GGUF",
      "download": "https://huggingface.co/Accio-Lab/occamy-1.0-GGUF/resolve/main/occamy-1.0-IQ4_NL.gguf?download=true"
    },
    {
      "id": "q4_k_s",
      "label": "Q4_K_S",
      "repo": "Accio-Lab/occamy-1.0-GGUF",
      "revision": "e8fe5e28e1b1c1f0cd0a39b85b16b631f17ca14e",
      "platform": "gguf",
      "description": "GGUF language weights for llama.cpp. Normalize prompt content to NFC.",
      "status": "Published",
      "command": "hf download Accio-Lab/occamy-1.0-GGUF occamy-1.0-Q4_K_S.gguf --local-dir ./occamy-gguf\n\nllama-server -m ./occamy-gguf/occamy-1.0-Q4_K_S.gguf \\\n  -ngl 999 -c 8192 -np 1 -fa on --jinja \\\n  --host 127.0.0.1 --port 8000 --alias occamy",
      "evidence": "B200 CUDA sample validation; published copies use qwen2 metadata. Full quality measurements used the documented qwen35 protocol. CPU and Mac execution were not established by these tests.",
      "file": "occamy-1.0-Q4_K_S.gguf",
      "bytes": 19889903616,
      "vision": true,
      "url": "https://huggingface.co/Accio-Lab/occamy-1.0-GGUF",
      "download": "https://huggingface.co/Accio-Lab/occamy-1.0-GGUF/resolve/main/occamy-1.0-Q4_K_S.gguf?download=true"
    },
    {
      "id": "q4_k_m",
      "label": "Q4_K_M",
      "repo": "Accio-Lab/occamy-1.0-GGUF",
      "revision": "e8fe5e28e1b1c1f0cd0a39b85b16b631f17ca14e",
      "platform": "gguf",
      "description": "GGUF language weights for llama.cpp. Normalize prompt content to NFC.",
      "status": "Published",
      "command": "hf download Accio-Lab/occamy-1.0-GGUF occamy-1.0-Q4_K_M.gguf --local-dir ./occamy-gguf\n\nllama-server -m ./occamy-gguf/occamy-1.0-Q4_K_M.gguf \\\n  -ngl 999 -c 8192 -np 1 -fa on --jinja \\\n  --host 127.0.0.1 --port 8000 --alias occamy",
      "evidence": "B200 CUDA sample validation; published copies use qwen2 metadata. Full quality measurements used the documented qwen35 protocol. CPU and Mac execution were not established by these tests.",
      "file": "occamy-1.0-Q4_K_M.gguf",
      "bytes": 21166757696,
      "vision": true,
      "url": "https://huggingface.co/Accio-Lab/occamy-1.0-GGUF",
      "download": "https://huggingface.co/Accio-Lab/occamy-1.0-GGUF/resolve/main/occamy-1.0-Q4_K_M.gguf?download=true"
    },
    {
      "id": "apex-quality",
      "label": "APEX Quality",
      "repo": "Accio-Lab/occamy-1.0-APEX-GGUF",
      "revision": "7c731908b05f5cbd19002b23d421aa102c0dd0de",
      "platform": "gguf",
      "description": "Upstream APEX Quality MoE mixed-precision allocation, generated directly from BF16 without an importance matrix. Normalize prompt content to NFC.",
      "status": "Published",
      "command": "hf download Accio-Lab/occamy-1.0-APEX-GGUF occamy-1.0-APEX-Quality.gguf --local-dir ./occamy-gguf\n\nllama-server -m ./occamy-gguf/occamy-1.0-APEX-Quality.gguf \\\n  -ngl 999 -c 8192 -np 1 -fa on --jinja \\\n  --host 127.0.0.1 --port 8000 --alias occamy",
      "evidence": "B200 native qwen2 + NFC: 19/20 authored functional cases, including executed Python and tool round trips; subset PPL 8.2568. All 733 tensors finite and 16/16 tokenizer probes. Bounded checks; image, CPU and Mac execution were not tested.",
      "file": "occamy-1.0-APEX-Quality.gguf",
      "bytes": 22819401472,
      "vision": true,
      "url": "https://huggingface.co/Accio-Lab/occamy-1.0-APEX-GGUF",
      "download": "https://huggingface.co/Accio-Lab/occamy-1.0-APEX-GGUF/resolve/main/occamy-1.0-APEX-Quality.gguf?download=true"
    },
    {
      "id": "apex-i-quality",
      "label": "APEX I-Quality",
      "repo": "Accio-Lab/occamy-1.0-APEX-GGUF",
      "revision": "7c731908b05f5cbd19002b23d421aa102c0dd0de",
      "platform": "gguf",
      "description": "Upstream APEX I-Quality mixed precision, directly from BF16 with an independently collected importance matrix; all 256 experts covered in every layer. Normalize prompt content to NFC.",
      "status": "Published",
      "command": "hf download Accio-Lab/occamy-1.0-APEX-GGUF occamy-1.0-APEX-I-Quality.gguf --local-dir ./occamy-gguf\n\nllama-server -m ./occamy-gguf/occamy-1.0-APEX-I-Quality.gguf \\\n  -ngl 999 -c 8192 -np 1 -fa on --jinja \\\n  --host 127.0.0.1 --port 8000 --alias occamy",
      "evidence": "B200 native qwen2 + NFC: 19/20 authored cases; failed: json_4; subset PPL 8.3743. All 733 tensors finite and 16/16 tokenizer probes. Full calibration coverage; calibrated does not mean better quality. Image, CPU and Mac were not retested.",
      "file": "occamy-1.0-APEX-I-Quality.gguf",
      "bytes": 22819401760,
      "vision": true,
      "url": "https://huggingface.co/Accio-Lab/occamy-1.0-APEX-GGUF",
      "download": "https://huggingface.co/Accio-Lab/occamy-1.0-APEX-GGUF/resolve/main/occamy-1.0-APEX-I-Quality.gguf?download=true"
    },
    {
      "id": "q5_k_s",
      "label": "Q5_K_S",
      "repo": "Accio-Lab/occamy-1.0-GGUF",
      "revision": "6210e42ce97bc1b7c7ea58cab597e9b49ed523e5",
      "platform": "gguf",
      "description": "Standard mixed K-quant GGUF, generated directly from BF16 without calibration. Normalize prompt content to NFC.",
      "status": "Published",
      "command": "hf download Accio-Lab/occamy-1.0-GGUF occamy-1.0-Q5_K_S.gguf --local-dir ./occamy-gguf\n\nllama-server -m ./occamy-gguf/occamy-1.0-Q5_K_S.gguf \\\n  -ngl 999 -c 8192 -np 1 -fa on --jinja \\\n  --host 127.0.0.1 --port 8000 --alias occamy",
      "evidence": "Native qwen2 + NFC validation on B200: 19/20 authored cases, including executed Python and native tool round trips. Same Chinese JSON failure as BF16. 16/16 NFC tokenizer probes with special-token parsing. Vision, CPU and Mac execution were not tested for this addition.",
      "file": "occamy-1.0-Q5_K_S.gguf",
      "bytes": 23981283072,
      "vision": true,
      "url": "https://huggingface.co/Accio-Lab/occamy-1.0-GGUF",
      "download": "https://huggingface.co/Accio-Lab/occamy-1.0-GGUF/resolve/main/occamy-1.0-Q5_K_S.gguf?download=true"
    },
    {
      "id": "q5_0",
      "label": "Q5_0",
      "repo": "Accio-Lab/occamy-1.0-GGUF",
      "revision": "ba279c80f36eadc81d9cc182d16237abbeafea1e",
      "platform": "gguf",
      "description": "Standard GGUF recipe, generated directly from BF16 without calibration. Normalize prompt content to NFC.",
      "status": "Published",
      "command": "hf download Accio-Lab/occamy-1.0-GGUF occamy-1.0-Q5_0.gguf --local-dir ./occamy-gguf\n\nllama-server -m ./occamy-gguf/occamy-1.0-Q5_0.gguf \\\n  -ngl 999 -c 8192 -np 1 -fa on --jinja \\\n  --host 127.0.0.1 --port 8000 --alias occamy",
      "evidence": "Native qwen2 + NFC checks on B200: 19/20 authored functional cases; subset PPL 8.2284. Full finite-tensor scan and 16/16 NFC tokenizer probes with special parsing. Bounded tests; image, CPU and Mac execution were not tested for this addition.",
      "file": "occamy-1.0-Q5_0.gguf",
      "bytes": 23981283072,
      "vision": true,
      "url": "https://huggingface.co/Accio-Lab/occamy-1.0-GGUF",
      "download": "https://huggingface.co/Accio-Lab/occamy-1.0-GGUF/resolve/main/occamy-1.0-Q5_0.gguf?download=true"
    },
    {
      "id": "q5_k_m",
      "label": "Q5_K_M",
      "repo": "Accio-Lab/occamy-1.0-GGUF",
      "revision": "e8fe5e28e1b1c1f0cd0a39b85b16b631f17ca14e",
      "platform": "gguf",
      "description": "GGUF language weights for llama.cpp. Normalize prompt content to NFC.",
      "status": "Published",
      "command": "hf download Accio-Lab/occamy-1.0-GGUF occamy-1.0-Q5_K_M.gguf --local-dir ./occamy-gguf\n\nllama-server -m ./occamy-gguf/occamy-1.0-Q5_K_M.gguf \\\n  -ngl 999 -c 8192 -np 1 -fa on --jinja \\\n  --host 127.0.0.1 --port 8000 --alias occamy",
      "evidence": "B200 CUDA sample validation; published copies use qwen2 metadata. Full quality measurements used the documented qwen35 protocol. CPU and Mac execution were not established by these tests.",
      "file": "occamy-1.0-Q5_K_M.gguf",
      "bytes": 24729131008,
      "vision": true,
      "url": "https://huggingface.co/Accio-Lab/occamy-1.0-GGUF",
      "download": "https://huggingface.co/Accio-Lab/occamy-1.0-GGUF/resolve/main/occamy-1.0-Q5_K_M.gguf?download=true"
    },
    {
      "id": "apex-balanced",
      "label": "APEX Balanced",
      "repo": "Accio-Lab/occamy-1.0-APEX-GGUF",
      "revision": "7c731908b05f5cbd19002b23d421aa102c0dd0de",
      "platform": "gguf",
      "description": "Upstream APEX Balanced MoE mixed-precision allocation, generated directly from BF16 without an importance matrix. Normalize prompt content to NFC.",
      "status": "Published",
      "command": "hf download Accio-Lab/occamy-1.0-APEX-GGUF occamy-1.0-APEX-Balanced.gguf --local-dir ./occamy-gguf\n\nllama-server -m ./occamy-gguf/occamy-1.0-APEX-Balanced.gguf \\\n  -ngl 999 -c 8192 -np 1 -fa on --jinja \\\n  --host 127.0.0.1 --port 8000 --alias occamy",
      "evidence": "B200 native qwen2 + NFC: 19/20 authored functional cases, including executed Python and tool round trips; subset PPL 8.2994. All 733 tensors finite and 16/16 tokenizer probes. Bounded checks; image, CPU and Mac execution were not tested.",
      "file": "occamy-1.0-APEX-Balanced.gguf",
      "bytes": 25335983872,
      "vision": true,
      "url": "https://huggingface.co/Accio-Lab/occamy-1.0-APEX-GGUF",
      "download": "https://huggingface.co/Accio-Lab/occamy-1.0-APEX-GGUF/resolve/main/occamy-1.0-APEX-Balanced.gguf?download=true"
    },
    {
      "id": "apex-i-balanced",
      "label": "APEX I-Balanced",
      "repo": "Accio-Lab/occamy-1.0-APEX-GGUF",
      "revision": "7c731908b05f5cbd19002b23d421aa102c0dd0de",
      "platform": "gguf",
      "description": "Upstream APEX I-Balanced mixed precision, directly from BF16 with an independently collected importance matrix; all 256 experts covered in every layer. Normalize prompt content to NFC.",
      "status": "Published",
      "command": "hf download Accio-Lab/occamy-1.0-APEX-GGUF occamy-1.0-APEX-I-Balanced.gguf --local-dir ./occamy-gguf\n\nllama-server -m ./occamy-gguf/occamy-1.0-APEX-I-Balanced.gguf \\\n  -ngl 999 -c 8192 -np 1 -fa on --jinja \\\n  --host 127.0.0.1 --port 8000 --alias occamy",
      "evidence": "B200 native qwen2 + NFC: 19/20 authored cases; failed: json_4; subset PPL 8.3482. All 733 tensors finite and 16/16 tokenizer probes. Full calibration coverage; calibrated does not mean better quality. Image, CPU and Mac were not retested.",
      "file": "occamy-1.0-APEX-I-Balanced.gguf",
      "bytes": 25335984160,
      "vision": true,
      "url": "https://huggingface.co/Accio-Lab/occamy-1.0-APEX-GGUF",
      "download": "https://huggingface.co/Accio-Lab/occamy-1.0-APEX-GGUF/resolve/main/occamy-1.0-APEX-I-Balanced.gguf?download=true"
    },
    {
      "id": "q6_k",
      "label": "Q6_K",
      "repo": "Accio-Lab/occamy-1.0-GGUF",
      "revision": "e8fe5e28e1b1c1f0cd0a39b85b16b631f17ca14e",
      "platform": "gguf",
      "description": "GGUF language weights for llama.cpp. Normalize prompt content to NFC.",
      "status": "Published",
      "command": "hf download Accio-Lab/occamy-1.0-GGUF occamy-1.0-Q6_K.gguf --local-dir ./occamy-gguf\n\nllama-server -m ./occamy-gguf/occamy-1.0-Q6_K.gguf \\\n  -ngl 999 -c 8192 -np 1 -fa on --jinja \\\n  --host 127.0.0.1 --port 8000 --alias occamy",
      "evidence": "B200 CUDA sample validation; published copies use qwen2 metadata. Full quality measurements used the documented qwen35 protocol. CPU and Mac execution were not established by these tests.",
      "file": "occamy-1.0-Q6_K.gguf",
      "bytes": 28514152448,
      "vision": true,
      "url": "https://huggingface.co/Accio-Lab/occamy-1.0-GGUF",
      "download": "https://huggingface.co/Accio-Lab/occamy-1.0-GGUF/resolve/main/occamy-1.0-Q6_K.gguf?download=true"
    },
    {
      "id": "q8_0",
      "label": "Q8_0",
      "repo": "Accio-Lab/occamy-1.0-GGUF",
      "revision": "e8fe5e28e1b1c1f0cd0a39b85b16b631f17ca14e",
      "platform": "gguf",
      "description": "GGUF language weights for llama.cpp. Normalize prompt content to NFC.",
      "status": "Published",
      "command": "hf download Accio-Lab/occamy-1.0-GGUF occamy-1.0-Q8_0.gguf --local-dir ./occamy-gguf\n\nllama-server -m ./occamy-gguf/occamy-1.0-Q8_0.gguf \\\n  -ngl 999 -c 8192 -np 1 -fa on --jinja \\\n  --host 127.0.0.1 --port 8000 --alias occamy",
      "evidence": "B200 CUDA sample validation; published copies use qwen2 metadata. Full quality measurements used the documented qwen35 protocol. CPU and Mac execution were not established by these tests.",
      "file": "occamy-1.0-Q8_0.gguf",
      "bytes": 36903139456,
      "vision": true,
      "url": "https://huggingface.co/Accio-Lab/occamy-1.0-GGUF",
      "download": "https://huggingface.co/Accio-Lab/occamy-1.0-GGUF/resolve/main/occamy-1.0-Q8_0.gguf?download=true"
    },
    {
      "id": "bf16",
      "label": "BF16",
      "repo": "Accio-Lab/occamy-1.0",
      "revision": "f9e2771699f14d9c4bbbc0c7b913e58ebe1442d0",
      "platform": "nvidia",
      "description": "Original full-precision checkpoint. Text and vision.",
      "status": "Published",
      "command": "vllm serve Accio-Lab/occamy-1.0 \\\n  --host 127.0.0.1 --port 8000 \\\n  --tensor-parallel-size 1 --max-model-len 8192 \\\n  --reasoning-parser qwen3 --enable-auto-tool-choice \\\n  --tool-call-parser qwen3_coder",
      "evidence": "BF16, FP8 and NVFP4 passed nine-case H200 vLLM compatibility checks. NVFP4 used Marlin W4A16 on H200. SGLang commands and sample evaluations are documented in each model card. Set memory/context limits for your hardware.",
      "file": null,
      "bytes": 70218761392,
      "vision": true,
      "url": "https://huggingface.co/Accio-Lab/occamy-1.0",
      "download": null
    },
    {
      "id": "fp8",
      "label": "FP8",
      "repo": "Accio-Lab/occamy-1.0-FP8",
      "revision": "ac48ca63988ac0f9717bc6c65b11dd77e7cf6ba8",
      "platform": "nvidia",
      "description": "128 × 128 blockwise FP8 with preserved vision weights.",
      "status": "Published",
      "command": "SGLANG_JIT_DEEPGEMM_PRECOMPILE=0 python -m sglang.launch_server \\\n  --model-path Accio-Lab/occamy-1.0-FP8 --served-model-name occamy \\\n  --host 127.0.0.1 --port 18400 --dtype bfloat16 \\\n  --context-length 16384 --max-running-requests 4 \\\n  --max-total-tokens 65536 --max-mamba-cache-size 16 \\\n  --mem-fraction-static 0.60 --attention-backend fa3 \\\n  --mm-attention-backend fa3 --mamba-backend triton \\\n  --disable-cuda-graph --random-seed 42 \\\n  --tool-call-parser qwen3_coder --enable-metrics",
      "evidence": "BF16, FP8 and NVFP4 passed nine-case H200 vLLM compatibility checks. NVFP4 used Marlin W4A16 on H200. SGLang commands and sample evaluations are documented in each model card. Set memory/context limits for your hardware.",
      "file": null,
      "bytes": 36613923840,
      "vision": true,
      "url": "https://huggingface.co/Accio-Lab/occamy-1.0-FP8",
      "download": null
    },
    {
      "id": "nvfp4",
      "label": "NVFP4",
      "repo": "Accio-Lab/occamy-1.0-NVFP4",
      "revision": "2e53d70641794e441cb038d2499a9e4b8cad306a",
      "platform": "nvidia",
      "description": "Routed experts in NVFP4; other weights retain BF16. Native FP4 needs compatible hardware and kernels.",
      "status": "Published",
      "command": "python -m sglang.launch_server \\\n  --model-path Accio-Lab/occamy-1.0-NVFP4 \\\n  --quantization modelopt_fp4 --dtype bfloat16 \\\n  --moe-runner-backend flashinfer_cutlass \\\n  --attention-backend triton --mamba-backend triton \\\n  --mm-attention-backend sdpa \\\n  --tool-call-parser qwen3_coder --reasoning-parser qwen3 \\\n  --context-length 2048 --max-total-tokens 4096 \\\n  --max-running-requests 1 --max-mamba-cache-size 4 \\\n  --disable-cuda-graph --disable-radix-cache --disable-overlap-schedule",
      "evidence": "BF16, FP8 and NVFP4 passed nine-case H200 vLLM compatibility checks. NVFP4 used Marlin W4A16 on H200. SGLang commands and sample evaluations are documented in each model card. Set memory/context limits for your hardware.",
      "file": null,
      "bytes": 23926133080,
      "vision": true,
      "url": "https://huggingface.co/Accio-Lab/occamy-1.0-NVFP4",
      "download": null
    },
    {
      "id": "mlx-8-bit",
      "label": "MLX 8-bit",
      "repo": "Accio-Lab/occamy-1.0-MLX-8bit",
      "revision": "7ab5091817d5e62f8790cc8e3f84bb8463d0bfb7",
      "platform": "mlx",
      "description": "Native affine 8-bit from BF16, group size 64; routers and shared-expert gates use 8-bit. Text only.",
      "status": "Mac validation pending",
      "command": "python -m pip install \"mlx==0.32.2\" \"mlx-lm==0.31.3\" \"transformers==5.8.1\"\n\npython - <<'PY'\nfrom mlx_lm import load, generate\nmodel, tokenizer = load(\"Accio-Lab/occamy-1.0-MLX-8bit\")\nprompt = tokenizer.apply_chat_template(\n    [{\"role\": \"user\", \"content\": \"Compute 2+2. Answer briefly.\"}],\n    tokenize=False, add_generation_prompt=True, enable_thinking=False,\n)\nprint(generate(model, tokenizer, prompt=prompt, max_tokens=128))\nPY",
      "evidence": "Strict stock reload, all floating values and all dequantized rows checked. Native Linux CUDA: 8/8 authored cached greedy fixtures, finite logits and 2/2 HTTP API checks. Mac Metal and broad quality benchmarks remain pending.",
      "file": null,
      "bytes": 36828222561,
      "vision": false,
      "url": "https://huggingface.co/Accio-Lab/occamy-1.0-MLX-8bit",
      "download": null
    },
    {
      "id": "mlx-6-bit",
      "label": "MLX 6-bit",
      "repo": "Accio-Lab/occamy-1.0-MLX-6bit",
      "revision": "9459767612766f7095a15ab72b2181816caab336",
      "platform": "mlx",
      "description": "Native affine 6-bit from BF16, group size 64; routers and shared-expert gates use 8-bit. Text only.",
      "status": "Mac validation pending",
      "command": "python -m pip install \"mlx==0.32.2\" \"mlx-lm==0.31.3\" \"transformers==5.8.1\"\n\npython - <<'PY'\nfrom mlx_lm import load, generate\nmodel, tokenizer = load(\"Accio-Lab/occamy-1.0-MLX-6bit\")\nprompt = tokenizer.apply_chat_template(\n    [{\"role\": \"user\", \"content\": \"Compute 2+2. Answer briefly.\"}],\n    tokenize=False, add_generation_prompt=True, enable_thinking=False,\n)\nprint(generate(model, tokenizer, prompt=prompt, max_tokens=128))\nPY",
      "evidence": "Strict stock reload, all floating values and all dequantized rows checked. Native Linux CUDA: 8/8 authored cached greedy fixtures, finite logits and 2/2 HTTP API checks. Mac Metal and broad quality benchmarks remain pending.",
      "file": null,
      "bytes": 28168623119,
      "vision": false,
      "url": "https://huggingface.co/Accio-Lab/occamy-1.0-MLX-6bit",
      "download": null
    },
    {
      "id": "mlx-5-bit",
      "label": "MLX 5-bit",
      "repo": "Accio-Lab/occamy-1.0-MLX-5bit",
      "revision": "b3a65ecc9be13f0c73b3ea5ae9bc8ae91b207bc3",
      "platform": "mlx",
      "description": "Native MLX affine weight format, group 64, directly from BF16. Router/shared gates use affine 8-bit. Text only; Apple Metal acceptance is pending.",
      "status": "Mac validation pending",
      "command": "python -m pip install \"mlx==0.32.2\" \"mlx-lm==0.31.3\" \"transformers==5.8.1\"\n\npython - <<'PY'\nfrom mlx_lm import load, generate\nmodel, tokenizer = load(\"Accio-Lab/occamy-1.0-MLX-5bit\")\nprompt = tokenizer.apply_chat_template(\n    [{\"role\": \"user\", \"content\": \"Compute 2+2. Answer briefly.\"}],\n    tokenize=False, add_generation_prompt=True, enable_thinking=False,\n)\nprint(generate(model, tokenizer, prompt=prompt, max_tokens=128))\nPY",
      "evidence": "Native Linux MLX on B200: 8/8 authored inference fixtures, 2/2 HTTP checks, every stored float and dequantized row checked. Paired subset PPL 8.3075 versus BF16 8.3074; bounded check, no speed ranking. Mac Metal acceptance remains pending.",
      "bytes": 23838823629,
      "vision": false,
      "url": "https://huggingface.co/Accio-Lab/occamy-1.0-MLX-5bit",
      "download": null
    },
    {
      "id": "mlx-4-bit",
      "label": "MLX 4-bit",
      "repo": "Accio-Lab/occamy-1.0-MLX-4bit",
      "revision": "7a442e16d5700f775f02a844d6e93a68cf95ad58",
      "platform": "mlx",
      "description": "Native affine 4-bit, group size 64; routers and shared-expert gates use 8-bit. Text only.",
      "status": "Mac validation pending",
      "command": "python -m pip install \"mlx==0.32.2\" \"mlx-lm==0.31.3\" \"transformers==5.8.1\"\n\npython - <<'PY'\nfrom mlx_lm import load, generate\nmodel, tokenizer = load(\"Accio-Lab/occamy-1.0-MLX-4bit\")\nprompt = tokenizer.apply_chat_template(\n    [{\"role\": \"user\", \"content\": \"Compute 2+2. Answer briefly.\"}],\n    tokenize=False, add_generation_prompt=True, enable_thinking=False,\n)\nprint(generate(model, tokenizer, prompt=prompt, max_tokens=128))\nPY",
      "evidence": "Strict reload, all quantized-row finite checks and one cached greedy generation passed on Linux native MLX CPU. Mac Metal acceptance and broad quality evaluation remain pending.",
      "file": null,
      "bytes": 19509024201,
      "vision": false,
      "url": "https://huggingface.co/Accio-Lab/occamy-1.0-MLX-4bit",
      "download": null
    },
    {
      "id": "mlx-3-bit",
      "label": "MLX 3-bit",
      "repo": "Accio-Lab/occamy-1.0-MLX-3bit",
      "revision": "0349815457382560473322f1322de36f668aefea",
      "platform": "mlx",
      "description": "Native affine 3-bit, group size 64; routers and shared-expert gates use 8-bit. Text only.",
      "status": "Mac validation pending",
      "command": "python -m pip install \"mlx==0.32.2\" \"mlx-lm==0.31.3\" \"transformers==5.8.1\"\n\npython - <<'PY'\nfrom mlx_lm import load, generate\nmodel, tokenizer = load(\"Accio-Lab/occamy-1.0-MLX-3bit\")\nprompt = tokenizer.apply_chat_template(\n    [{\"role\": \"user\", \"content\": \"Compute 2+2. Answer briefly.\"}],\n    tokenize=False, add_generation_prompt=True, enable_thinking=False,\n)\nprint(generate(model, tokenizer, prompt=prompt, max_tokens=128))\nPY",
      "evidence": "Strict reload, all quantized-row finite checks and one cached greedy generation passed on Linux native MLX CPU. Mac Metal acceptance and broad quality evaluation remain pending.",
      "file": null,
      "bytes": 15179224395,
      "vision": false,
      "url": "https://huggingface.co/Accio-Lab/occamy-1.0-MLX-3bit",
      "download": null
    },
    {
      "id": "mlx-mxfp8",
      "label": "MLX MXFP8",
      "repo": "Accio-Lab/occamy-1.0-MLX-mxfp8",
      "revision": "7d8347131140ee8d345c8a561f7af657e2569a72",
      "platform": "mlx",
      "description": "Native MLX mxfp8 weight format, group 32, directly from BF16. Router/shared gates use affine 8-bit. Text only; Apple Metal acceptance is pending.",
      "status": "Mac validation pending",
      "command": "python -m pip install \"mlx==0.32.2\" \"mlx-lm==0.31.3\" \"transformers==5.8.1\"\n\npython - <<'PY'\nfrom mlx_lm import load, generate\nmodel, tokenizer = load(\"Accio-Lab/occamy-1.0-MLX-mxfp8\")\nprompt = tokenizer.apply_chat_template(\n    [{\"role\": \"user\", \"content\": \"Compute 2+2. Answer briefly.\"}],\n    tokenize=False, add_generation_prompt=True, enable_thinking=False,\n)\nprint(generate(model, tokenizer, prompt=prompt, max_tokens=128))\nPY",
      "evidence": "Native Linux MLX on B200: 8/8 authored inference fixtures, 2/2 HTTP checks, every stored float and dequantized row checked. Paired subset PPL 8.3866 versus BF16 8.3074; bounded check, no speed ranking. Mac Metal acceptance remains pending.",
      "bytes": 35745712868,
      "vision": false,
      "url": "https://huggingface.co/Accio-Lab/occamy-1.0-MLX-mxfp8",
      "download": null
    },
    {
      "id": "mlx-mxfp4",
      "label": "MLX MXFP4",
      "repo": "Accio-Lab/occamy-1.0-MLX-mxfp4",
      "revision": "4366fb2d80574254e77b677a80fa92215fb63a85",
      "platform": "mlx",
      "description": "Native MLX mxfp4 weight format, group 32, directly from BF16. Router/shared gates use affine 8-bit. Text only; Apple Metal acceptance is pending.",
      "status": "Mac validation pending",
      "command": "python -m pip install \"mlx==0.32.2\" \"mlx-lm==0.31.3\" \"transformers==5.8.1\"\n\npython - <<'PY'\nfrom mlx_lm import load, generate\nmodel, tokenizer = load(\"Accio-Lab/occamy-1.0-MLX-mxfp4\")\nprompt = tokenizer.apply_chat_template(\n    [{\"role\": \"user\", \"content\": \"Compute 2+2. Answer briefly.\"}],\n    tokenize=False, add_generation_prompt=True, enable_thinking=False,\n)\nprint(generate(model, tokenizer, prompt=prompt, max_tokens=128))\nPY",
      "evidence": "Native Linux MLX on B200: 8/8 authored inference fixtures, 2/2 HTTP checks, every stored float and dequantized row checked. Paired subset PPL 8.8886 versus BF16 8.3074; bounded check, no speed ranking. Mac Metal acceptance remains pending.",
      "bytes": 18426513876,
      "vision": false,
      "url": "https://huggingface.co/Accio-Lab/occamy-1.0-MLX-mxfp4",
      "download": null
    },
    {
      "id": "mlx-nvfp4",
      "label": "MLX NVFP4",
      "repo": "Accio-Lab/occamy-1.0-MLX-nvfp4",
      "revision": "475bf75de5b3f1b5f7cce36cecd55fe5d2855dca",
      "platform": "mlx",
      "description": "Native MLX nvfp4 weight format, group 16, directly from BF16. Router/shared gates use affine 8-bit. Text only; Apple Metal acceptance is pending.",
      "status": "Mac validation pending",
      "command": "python -m pip install \"mlx==0.32.2\" \"mlx-lm==0.31.3\" \"transformers==5.8.1\"\n\npython - <<'PY'\nfrom mlx_lm import load, generate\nmodel, tokenizer = load(\"Accio-Lab/occamy-1.0-MLX-nvfp4\")\nprompt = tokenizer.apply_chat_template(\n    [{\"role\": \"user\", \"content\": \"Compute 2+2. Answer briefly.\"}],\n    tokenize=False, add_generation_prompt=True, enable_thinking=False,\n)\nprint(generate(model, tokenizer, prompt=prompt, max_tokens=128))\nPY",
      "evidence": "Native Linux MLX on B200: 8/8 authored inference fixtures, 2/2 HTTP checks, every stored float and dequantized row checked. Paired subset PPL 8.9242 versus BF16 8.3074; bounded check, no speed ranking. Mac Metal acceptance remains pending.",
      "bytes": 19508964296,
      "vision": false,
      "url": "https://huggingface.co/Accio-Lab/occamy-1.0-MLX-nvfp4",
      "download": null
    },
    {
      "id": "mtp-head",
      "label": "MTP head",
      "repo": "Accio-Lab/occamy-1.0-MTP",
      "revision": "2fd68d371e0b9ae5ac1c7d945ae1d40a9c616ec6",
      "platform": "research",
      "description": "Experimental BF16 draft head. Download a base separately; use the supplied patched SGLang runtime.",
      "status": "Experimental",
      "command": "hf download Accio-Lab/occamy-1.0-MTP --local-dir ./occamy-mtp\n\n# Follow NATIVE-MTP3.md for the exact source revision,\n# runtime patch, base assembly and native MTP3 launch command.",
      "evidence": "Recorded native MTP3 H200 BF16 TP1 greedy checks passed 4/4 cold/warm and 20/20 fixed-prompt token/logprob comparisons. Performance after the final fix is unmeasured. Other precision/backend combinations require separate validation.",
      "file": null,
      "bytes": 1689283656,
      "vision": false,
      "url": "https://huggingface.co/Accio-Lab/occamy-1.0-MTP",
      "download": null
    }
  ],
  "collection": "https://huggingface.co/collections/Accio-Lab/occamy-10-6ac00729659e8a86ec11e216",
  "mlx_collection": "https://huggingface.co/collections/Accio-Lab/occamy-10-mlx-6ac0072a7c1cdbc5e418e90b",
  "space": "https://huggingface.co/spaces/Accio-Lab/Occamy-Explorer",
  "base": "Accio-Lab/occamy-1.0",
  "project": "https://accio-lab.github.io/occamy/",
  "paper": "https://arxiv.org/abs/2609.11977",
  "projector": {
    "bytes": 899282944,
    "url": "https://huggingface.co/Accio-Lab/occamy-1.0-GGUF/resolve/main/mmproj-occamy-1.0-F16.gguf?download=true"
  }
}