{
 "source": "https://quantized.uk",
 "license": "CC BY 4.0",
 "licenseUrl": "https://creativecommons.org/licenses/by/4.0/",
 "attribution": "quantized.uk (https://quantized.uk/) — link back when you reuse this data",
 "termsUrl": "https://quantized.uk/legal/",
 "scope": "This site's own index and arithmetic. Model weights keep their own licences.",
 "version": 1,
 "dataLastUpdated": "2026-11-07",
 "count": 131,
 "notes": {
  "weightsGB": "params × bpw / 8, decimal GB — the weights only. Runtime memory adds KV cache and buffers; use calculatorUrl.",
  "confidence": "'measured' = run on this site's hardware; 'estimated' = derived from the architecture or a published file size.",
  "pplLossPercent": "Perplexity increase vs the unquantized weights, where published. Absent means nobody published one.",
  "sizingBasis": "'file' = bpw derived from the recorded file in `source` (repo, file, exact bytes summed over parts, separate mmproj bytes, date the listing was read); 'published' = from a published file size that was not recorded; 'generic' = the calculator's table rate for the level.",
  "arch": "Fields the KV-cache arithmetic reads. attention.fullLayers / windowLayers describe hybrid and sliding-window models; windowTokens is what llama.cpp allocates."
 },
 "models": [
  {
   "id": "llama-3.1-8b",
   "name": "Llama 3.1 8B Instruct",
   "family": "Meta Llama 3.1",
   "paramsB": 8.03,
   "paramLabel": "8B",
   "contextLength": 131072,
   "categories": [
    "general",
    "instruct"
   ],
   "status": "active",
   "arch": {
    "layers": 32,
    "kvHeads": 8,
    "headDim": 128
   },
   "referenceLevel": "Q4_K_M",
   "quants": [
    {
     "format": "GGUF",
     "level": "Q2_K",
     "bpw": 2.63,
     "weightsGB": 2.64,
     "confidence": "measured",
     "pplLossPercent": 48.5,
     "sizingBasis": "generic"
    },
    {
     "format": "GGUF",
     "level": "Q4_K_M",
     "bpw": 4.85,
     "weightsGB": 4.87,
     "confidence": "measured",
     "pplLossPercent": 3.2,
     "sizingBasis": "generic"
    },
    {
     "format": "GGUF",
     "level": "Q6_K",
     "bpw": 6.56,
     "weightsGB": 6.58,
     "confidence": "measured",
     "pplLossPercent": 0.8,
     "sizingBasis": "generic"
    },
    {
     "format": "GGUF",
     "level": "Q8_0",
     "bpw": 8.5,
     "weightsGB": 8.53,
     "confidence": "measured",
     "pplLossPercent": 0.1,
     "sizingBasis": "generic"
    },
    {
     "format": "AWQ",
     "level": "INT4",
     "bpw": 4,
     "weightsGB": 4.01,
     "confidence": "measured",
     "pplLossPercent": 4.5,
     "sizingBasis": "generic"
    },
    {
     "format": "EXL2",
     "level": "4.65bpw",
     "bpw": 4.65,
     "weightsGB": 4.67,
     "confidence": "measured",
     "pplLossPercent": 2.5,
     "sizingBasis": "generic"
    }
   ],
   "url": "https://quantized.uk/quant-hub/llama-3.1-8b/",
   "calculatorUrl": "https://quantized.uk/tools/vram-calc/?mode=forward&model=llama-3.1-8b&quant=Q4_K_M&ctx=4096"
  },
  {
   "id": "llama-3.1-70b",
   "name": "Llama 3.1 70B Instruct",
   "family": "Meta Llama 3.1",
   "paramsB": 70.6,
   "paramLabel": "70B",
   "contextLength": 131072,
   "categories": [
    "general",
    "instruct"
   ],
   "status": "active",
   "arch": {
    "layers": 80,
    "kvHeads": 8,
    "headDim": 128
   },
   "referenceLevel": "Q4_K_M",
   "quants": [
    {
     "format": "GGUF",
     "level": "Q4_K_M",
     "bpw": 4.85,
     "weightsGB": 42.8,
     "confidence": "estimated",
     "pplLossPercent": 2.8,
     "sizingBasis": "generic"
    },
    {
     "format": "GGUF",
     "level": "Q5_K_M",
     "bpw": 5.68,
     "weightsGB": 50.13,
     "confidence": "estimated",
     "pplLossPercent": 1.2,
     "sizingBasis": "generic"
    },
    {
     "format": "AWQ",
     "level": "INT4",
     "bpw": 4,
     "weightsGB": 35.3,
     "confidence": "estimated",
     "pplLossPercent": 3.9,
     "sizingBasis": "generic"
    },
    {
     "format": "EXL2",
     "level": "3.5bpw",
     "bpw": 3.5,
     "weightsGB": 30.89,
     "confidence": "estimated",
     "pplLossPercent": 5.2,
     "sizingBasis": "generic"
    }
   ],
   "url": "https://quantized.uk/quant-hub/llama-3.1-70b/",
   "calculatorUrl": "https://quantized.uk/tools/vram-calc/?mode=forward&model=llama-3.1-70b&quant=Q4_K_M&ctx=4096"
  },
  {
   "id": "llama-3.2-3b",
   "name": "Llama 3.2 3B Instruct",
   "family": "Meta Llama 3.2",
   "paramsB": 3.21,
   "paramLabel": "3B",
   "contextLength": 131072,
   "categories": [
    "general",
    "instruct"
   ],
   "status": "active",
   "arch": {
    "layers": 28,
    "kvHeads": 8,
    "headDim": 128
   },
   "referenceLevel": "Q4_K_M",
   "quants": [
    {
     "format": "GGUF",
     "level": "Q4_K_M",
     "bpw": 4.85,
     "weightsGB": 1.95,
     "confidence": "estimated",
     "pplLossPercent": 3.5,
     "sizingBasis": "generic"
    },
    {
     "format": "GGUF",
     "level": "Q8_0",
     "bpw": 8.5,
     "weightsGB": 3.41,
     "confidence": "estimated",
     "pplLossPercent": 0.2,
     "sizingBasis": "generic"
    },
    {
     "format": "AWQ",
     "level": "INT4",
     "bpw": 4,
     "weightsGB": 1.61,
     "confidence": "estimated",
     "pplLossPercent": 4.8,
     "sizingBasis": "generic"
    }
   ],
   "url": "https://quantized.uk/quant-hub/llama-3.2-3b/",
   "calculatorUrl": "https://quantized.uk/tools/vram-calc/?mode=forward&model=llama-3.2-3b&quant=Q4_K_M&ctx=4096"
  },
  {
   "id": "qwen2.5-7b",
   "name": "Qwen2.5 7B Instruct",
   "family": "Alibaba Qwen2.5",
   "paramsB": 7.62,
   "paramLabel": "7B",
   "contextLength": 131072,
   "categories": [
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    "instruct",
    "code"
   ],
   "status": "active",
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    "kvHeads": 4,
    "headDim": 128
   },
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     "confidence": "measured",
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     "sizingBasis": "generic"
    },
    {
     "format": "GGUF",
     "level": "Q6_K",
     "bpw": 6.56,
     "weightsGB": 6.25,
     "confidence": "measured",
     "pplLossPercent": 0.7,
     "sizingBasis": "generic"
    },
    {
     "format": "AWQ",
     "level": "INT4",
     "bpw": 4,
     "weightsGB": 3.81,
     "confidence": "measured",
     "pplLossPercent": 4.2,
     "sizingBasis": "generic"
    },
    {
     "format": "EXL2",
     "level": "4.65bpw",
     "bpw": 4.65,
     "weightsGB": 4.43,
     "confidence": "measured",
     "pplLossPercent": 2.2,
     "sizingBasis": "generic"
    }
   ],
   "url": "https://quantized.uk/quant-hub/qwen2.5-7b/",
   "calculatorUrl": "https://quantized.uk/tools/vram-calc/?mode=forward&model=qwen2.5-7b&quant=Q4_K_M&ctx=4096"
  },
  {
   "id": "qwen2.5-14b",
   "name": "Qwen2.5 14B Instruct",
   "family": "Alibaba Qwen2.5",
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   "paramLabel": "14B",
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   "categories": [
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    "kvHeads": 8,
    "headDim": 128
   },
   "referenceLevel": "Q4_K_M",
   "quants": [
    {
     "format": "GGUF",
     "level": "Q4_K_M",
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     "weightsGB": 8.91,
     "confidence": "estimated",
     "pplLossPercent": 2.9,
     "sizingBasis": "generic"
    },
    {
     "format": "GGUF",
     "level": "Q5_K_M",
     "bpw": 5.68,
     "weightsGB": 10.44,
     "confidence": "estimated",
     "pplLossPercent": 1.4,
     "sizingBasis": "generic"
    },
    {
     "format": "AWQ",
     "level": "INT4",
     "bpw": 4,
     "weightsGB": 7.35,
     "confidence": "estimated",
     "pplLossPercent": 3.8,
     "sizingBasis": "generic"
    },
    {
     "format": "EXL2",
     "level": "4.65bpw",
     "bpw": 4.65,
     "weightsGB": 8.54,
     "confidence": "estimated",
     "pplLossPercent": 2.1,
     "sizingBasis": "generic"
    }
   ],
   "url": "https://quantized.uk/quant-hub/qwen2.5-14b/",
   "calculatorUrl": "https://quantized.uk/tools/vram-calc/?mode=forward&model=qwen2.5-14b&quant=Q4_K_M&ctx=4096"
  },
  {
   "id": "qwen2.5-32b",
   "name": "Qwen2.5 32B Instruct",
   "family": "Alibaba Qwen2.5",
   "paramsB": 32.5,
   "paramLabel": "32B",
   "contextLength": 131072,
   "categories": [
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    "instruct",
    "code"
   ],
   "status": "active",
   "arch": {
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    "kvHeads": 8,
    "headDim": 128
   },
   "referenceLevel": "Q4_K_M",
   "quants": [
    {
     "format": "GGUF",
     "level": "Q3_K_M",
     "bpw": 3.87,
     "weightsGB": 15.72,
     "confidence": "measured",
     "pplLossPercent": 7.8,
     "sizingBasis": "generic"
    },
    {
     "format": "GGUF",
     "level": "Q4_K_M",
     "bpw": 4.85,
     "weightsGB": 19.7,
     "confidence": "measured",
     "pplLossPercent": 2.7,
     "sizingBasis": "generic"
    },
    {
     "format": "EXL2",
     "level": "3.5bpw",
     "bpw": 3.5,
     "weightsGB": 14.22,
     "confidence": "measured",
     "pplLossPercent": 4.8,
     "sizingBasis": "generic"
    }
   ],
   "url": "https://quantized.uk/quant-hub/qwen2.5-32b/",
   "calculatorUrl": "https://quantized.uk/tools/vram-calc/?mode=forward&model=qwen2.5-32b&quant=Q4_K_M&ctx=4096"
  },
  {
   "id": "deepseek-coder-v2-lite",
   "name": "DeepSeek-Coder-V2-Lite Instruct",
   "family": "DeepSeek",
   "paramsB": 15.7,
   "paramLabel": "16B-A2.4B",
   "activeParamsB": 2.4,
   "contextLength": 163840,
   "categories": [
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    "instruct"
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   "status": "active",
   "arch": {
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    "kvHeads": 1,
    "headDim": 288
   },
   "referenceLevel": "Q4_K_M",
   "quants": [
    {
     "format": "GGUF",
     "level": "Q4_K_M",
     "bpw": 4.85,
     "weightsGB": 9.52,
     "confidence": "estimated",
     "pplLossPercent": 3.1,
     "sizingBasis": "generic"
    },
    {
     "format": "GGUF",
     "level": "Q8_0",
     "bpw": 8.5,
     "weightsGB": 16.68,
     "confidence": "estimated",
     "pplLossPercent": 0.2,
     "sizingBasis": "generic"
    },
    {
     "format": "AWQ",
     "level": "INT4",
     "bpw": 4,
     "weightsGB": 7.85,
     "confidence": "estimated",
     "pplLossPercent": 4.1,
     "sizingBasis": "generic"
    }
   ],
   "url": "https://quantized.uk/quant-hub/deepseek-coder-v2-lite/",
   "calculatorUrl": "https://quantized.uk/tools/vram-calc/?mode=forward&model=deepseek-coder-v2-lite&quant=Q4_K_M&ctx=4096"
  },
  {
   "id": "phi-3.5-mini",
   "name": "Phi-3.5 Mini Instruct",
   "family": "Microsoft Phi",
   "paramsB": 3.82,
   "paramLabel": "3.8B",
   "contextLength": 131072,
   "categories": [
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    "instruct"
   ],
   "status": "active",
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    "kvHeads": 32,
    "headDim": 96
   },
   "referenceLevel": "Q4_K_M",
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    },
    {
     "format": "GGUF",
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     "pplLossPercent": 0.2,
     "sizingBasis": "generic"
    },
    {
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     "pplLossPercent": 5.1,
     "sizingBasis": "generic"
    }
   ],
   "url": "https://quantized.uk/quant-hub/phi-3.5-mini/",
   "calculatorUrl": "https://quantized.uk/tools/vram-calc/?mode=forward&model=phi-3.5-mini&quant=Q4_K_M&ctx=4096"
  },
  {
   "id": "mistral-nemo-12b",
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   "paramLabel": "12B",
   "contextLength": 131072,
   "categories": [
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    },
    {
     "format": "GGUF",
     "level": "Q6_K",
     "bpw": 6.56,
     "weightsGB": 10,
     "confidence": "estimated",
     "pplLossPercent": 0.9,
     "sizingBasis": "generic"
    },
    {
     "format": "AWQ",
     "level": "INT4",
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     "weightsGB": 6.1,
     "confidence": "estimated",
     "pplLossPercent": 4.4,
     "sizingBasis": "generic"
    }
   ],
   "url": "https://quantized.uk/quant-hub/mistral-nemo-12b/",
   "calculatorUrl": "https://quantized.uk/tools/vram-calc/?mode=forward&model=mistral-nemo-12b&quant=Q4_K_M&ctx=4096"
  },
  {
   "id": "gemma-2-9b",
   "name": "Gemma 2 9B Instruct",
   "family": "Google Gemma 2",
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   "paramLabel": "9B",
   "contextLength": 8192,
   "categories": [
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    "instruct"
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    "kvHeads": 8,
    "headDim": 256,
    "attention": {
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     "windowLayers": 21,
     "windowTokens": 4608
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    },
    {
     "format": "GGUF",
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     "sizingBasis": "generic"
    },
    {
     "format": "AWQ",
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     "confidence": "estimated",
     "pplLossPercent": 4.6,
     "sizingBasis": "generic"
    }
   ],
   "url": "https://quantized.uk/quant-hub/gemma-2-9b/",
   "calculatorUrl": "https://quantized.uk/tools/vram-calc/?mode=forward&model=gemma-2-9b&quant=Q4_K_M&ctx=4096"
  },
  {
   "id": "qwen2.5-72b",
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   "paramLabel": "72B",
   "contextLength": 131072,
   "categories": [
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    "instruct"
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    },
    {
     "format": "GGUF",
     "level": "Q5_K_M",
     "bpw": 5.68,
     "weightsGB": 51.62,
     "confidence": "estimated",
     "pplLossPercent": 1.1,
     "sizingBasis": "generic"
    },
    {
     "format": "AWQ",
     "level": "INT4",
     "bpw": 4,
     "weightsGB": 36.35,
     "confidence": "estimated",
     "pplLossPercent": 3.5,
     "sizingBasis": "generic"
    },
    {
     "format": "EXL2",
     "level": "3.5bpw",
     "bpw": 3.5,
     "weightsGB": 31.81,
     "confidence": "estimated",
     "pplLossPercent": 4.8,
     "sizingBasis": "generic"
    }
   ],
   "url": "https://quantized.uk/quant-hub/qwen2.5-72b/",
   "calculatorUrl": "https://quantized.uk/tools/vram-calc/?mode=forward&model=qwen2.5-72b&quant=Q4_K_M&ctx=4096"
  },
  {
   "id": "deepseek-r1-distill-qwen-14b",
   "name": "DeepSeek-R1-Distill-Qwen-14B",
   "family": "DeepSeek",
   "paramsB": 14.7,
   "paramLabel": "14B",
   "contextLength": 131072,
   "categories": [
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    "instruct",
    "code"
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   "status": "active",
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    "kvHeads": 8,
    "headDim": 128
   },
   "referenceLevel": "Q4_K_M",
   "quants": [
    {
     "format": "GGUF",
     "level": "Q4_K_M",
     "bpw": 4.85,
     "weightsGB": 8.91,
     "confidence": "measured",
     "pplLossPercent": 2.8,
     "sizingBasis": "generic"
    },
    {
     "format": "EXL2",
     "level": "4.65bpw",
     "bpw": 4.65,
     "weightsGB": 8.54,
     "confidence": "measured",
     "pplLossPercent": 2,
     "sizingBasis": "generic"
    },
    {
     "format": "AWQ",
     "level": "INT4",
     "bpw": 4,
     "weightsGB": 7.35,
     "confidence": "measured",
     "pplLossPercent": 3.6,
     "sizingBasis": "generic"
    }
   ],
   "url": "https://quantized.uk/quant-hub/deepseek-r1-distill-qwen-14b/",
   "calculatorUrl": "https://quantized.uk/tools/vram-calc/?mode=forward&model=deepseek-r1-distill-qwen-14b&quant=Q4_K_M&ctx=4096"
  },
  {
   "id": "llama-3.3-70b",
   "name": "Llama 3.3 70B Instruct",
   "family": "Meta Llama 3.3",
   "paramsB": 70.6,
   "paramLabel": "70B",
   "contextLength": 131072,
   "categories": [
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    "instruct"
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   "status": "active",
   "arch": {
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    "kvHeads": 8,
    "headDim": 128
   },
   "referenceLevel": "Q4_K_M",
   "quants": [
    {
     "format": "GGUF",
     "level": "Q4_K_M",
     "bpw": 4.85,
     "weightsGB": 42.8,
     "confidence": "estimated",
     "pplLossPercent": 2.6,
     "sizingBasis": "generic"
    },
    {
     "format": "GGUF",
     "level": "Q5_K_M",
     "bpw": 5.68,
     "weightsGB": 50.13,
     "confidence": "estimated",
     "pplLossPercent": 1,
     "sizingBasis": "generic"
    },
    {
     "format": "AWQ",
     "level": "INT4",
     "bpw": 4,
     "weightsGB": 35.3,
     "confidence": "estimated",
     "pplLossPercent": 3.7,
     "sizingBasis": "generic"
    }
   ],
   "url": "https://quantized.uk/quant-hub/llama-3.3-70b/",
   "calculatorUrl": "https://quantized.uk/tools/vram-calc/?mode=forward&model=llama-3.3-70b&quant=Q4_K_M&ctx=4096"
  },
  {
   "id": "mistral-small-24b",
   "name": "Mistral Small 24B Instruct",
   "family": "Mistral AI",
   "paramsB": 24,
   "paramLabel": "24B",
   "contextLength": 32768,
   "categories": [
    "general",
    "instruct"
   ],
   "status": "active",
   "arch": {
    "layers": 40,
    "kvHeads": 8,
    "headDim": 128
   },
   "referenceLevel": "Q4_K_M",
   "quants": [
    {
     "format": "GGUF",
     "level": "Q4_K_M",
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