Sync 2026-10-23: 169 models
Browse files- README.md +1 -1
- models.csv +8 -0
- models.json +145 -5
README.md
CHANGED
|
@@ -36,7 +36,7 @@ table at **[modelfit.io/data](https://modelfit.io/data/)**; the canonical
|
|
| 36 |
machine-readable source is
|
| 37 |
**[modelfit.io/api/dataset](https://modelfit.io/api/dataset/)**.
|
| 38 |
|
| 39 |
-
- **
|
| 40 |
- **License:** CC BY 4.0: reuse freely, including commercially, with attribution
|
| 41 |
- **Updated:** see the `updated` field in `models.json` (regenerated from the live endpoint)
|
| 42 |
|
|
|
|
| 36 |
machine-readable source is
|
| 37 |
**[modelfit.io/api/dataset](https://modelfit.io/api/dataset/)**.
|
| 38 |
|
| 39 |
+
- **169 models** across 32 families (126 with a registry-verified local build, 26 open-weight models without a consumer-tier Ollama build, 17 closed cloud APIs tracked for comparison)
|
| 40 |
- **License:** CC BY 4.0: reuse freely, including commercially, with attribution
|
| 41 |
- **Updated:** see the `updated` field in `models.json` (regenerated from the live endpoint)
|
| 42 |
|
models.csv
CHANGED
|
@@ -160,3 +160,11 @@ Ministral 3 3B,Mistral,3.4,Q4_K_M,6,3,,true,true,false,ollama|llama.cpp|lm-studi
|
|
| 160 |
Ministral 3 8B,Mistral,8.4,Q4_K_M,12,6,,true,true,false,ollama|llama.cpp|lm-studio,"Chat, Coding, Vision",ollama run ministral-3:8b
|
| 161 |
Ministral 3 14B,Mistral,13.5,Q4_K_M,16,9.1,,true,true,false,ollama|llama.cpp|lm-studio,"Chat, Reasoning, Vision",ollama run ministral-3:14b
|
| 162 |
Inkling Small,Inkling,276,API,0,0,,false,true,true,,"Agentic coding, Multimodal, Reasoning",
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 160 |
Ministral 3 8B,Mistral,8.4,Q4_K_M,12,6,,true,true,false,ollama|llama.cpp|lm-studio,"Chat, Coding, Vision",ollama run ministral-3:8b
|
| 161 |
Ministral 3 14B,Mistral,13.5,Q4_K_M,16,9.1,,true,true,false,ollama|llama.cpp|lm-studio,"Chat, Reasoning, Vision",ollama run ministral-3:14b
|
| 162 |
Inkling Small,Inkling,276,API,0,0,,false,true,true,,"Agentic coding, Multimodal, Reasoning",
|
| 163 |
+
Flint 40B-A2.5B,Flint,39.8,NVFP4,36,22.9,28,true,true,false,ollama|llama.cpp|lm-studio,"Agentic coding, Long context",ollama run flint:40b
|
| 164 |
+
Mellum2.1 12B-A2.5B Thinking,Mellum,12.1,Q4_K_M,16,8.1,14,true,true,false,ollama|llama.cpp|lm-studio,"Agentic coding, Small machines",
|
| 165 |
+
Kolibri 1,Kolibri,78.1,Q4_K_M,96,49.8,20,true,true,false,ollama|llama.cpp|lm-studio,"Reasoning, German, Long context",
|
| 166 |
+
Kolibri 1 (IQ4_XS),Kolibri,78.1,IQ4_XS,64,43.6,20,true,true,false,ollama|llama.cpp|lm-studio,"Reasoning, German, Long context",
|
| 167 |
+
AREX-2 27B,AREX,27.4,Q4_K_M,32,17.2,64,true,true,false,ollama|llama.cpp|lm-studio,"Agents, Deep research, Coding",
|
| 168 |
+
Muse Spark Open,Muse,816,API,0,0,,false,true,false,,"Agentic coding, Multimodal, Long context",
|
| 169 |
+
MiniMax M3.1 Flash,MiniMax,428,API,0,0,,false,true,false,,"Coding, Agentic, Computer use",
|
| 170 |
+
Beam 1.0,Beam,501,API,0,0,,false,true,false,,"Agentic coding, Reasoning, Long context",
|
models.json
CHANGED
|
@@ -11,12 +11,12 @@
|
|
| 11 |
"note": "A model fits a device when its estimatedLoadGb is within the memory budget: ~70% of unified memory up to 32GB, scaling linearly to ~85% at 128GB and above (high-RAM Macs can wire more memory to the GPU). Q4_K_M needs roughly 0.6 GB per billion parameters.",
|
| 12 |
"fieldSemantics": "runsLocally = a registry-verified Ollama build fits at least one consumer RAM tier tracked here (up to 256GB). openWeights = the weights are publicly downloadable. Some open-weight giants (e.g. NVIDIA Nemotron 3 Ultra, 550B, ~190GB at 2-bit) are openWeights: true but runsLocally: false because no consumer tier fits them."
|
| 13 |
},
|
| 14 |
-
"updated": "2026-10-
|
| 15 |
"counts": {
|
| 16 |
-
"models":
|
| 17 |
-
"local":
|
| 18 |
-
"cloud":
|
| 19 |
-
"families":
|
| 20 |
},
|
| 21 |
"models": [
|
| 22 |
{
|
|
@@ -2917,6 +2917,146 @@
|
|
| 2917 |
"runtimes": [],
|
| 2918 |
"bestFor": "Agentic coding, Multimodal, Reasoning",
|
| 2919 |
"ollamaCommand": null
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 2920 |
}
|
| 2921 |
]
|
| 2922 |
}
|
|
|
|
| 11 |
"note": "A model fits a device when its estimatedLoadGb is within the memory budget: ~70% of unified memory up to 32GB, scaling linearly to ~85% at 128GB and above (high-RAM Macs can wire more memory to the GPU). Q4_K_M needs roughly 0.6 GB per billion parameters.",
|
| 12 |
"fieldSemantics": "runsLocally = a registry-verified Ollama build fits at least one consumer RAM tier tracked here (up to 256GB). openWeights = the weights are publicly downloadable. Some open-weight giants (e.g. NVIDIA Nemotron 3 Ultra, 550B, ~190GB at 2-bit) are openWeights: true but runsLocally: false because no consumer tier fits them."
|
| 13 |
},
|
| 14 |
+
"updated": "2026-10-24",
|
| 15 |
"counts": {
|
| 16 |
+
"models": 169,
|
| 17 |
+
"local": 126,
|
| 18 |
+
"cloud": 43,
|
| 19 |
+
"families": 32
|
| 20 |
},
|
| 21 |
"models": [
|
| 22 |
{
|
|
|
|
| 2917 |
"runtimes": [],
|
| 2918 |
"bestFor": "Agentic coding, Multimodal, Reasoning",
|
| 2919 |
"ollamaCommand": null
|
| 2920 |
+
},
|
| 2921 |
+
{
|
| 2922 |
+
"model": "Flint 40B-A2.5B",
|
| 2923 |
+
"family": "Flint",
|
| 2924 |
+
"params": 39.8,
|
| 2925 |
+
"quantization": "NVFP4",
|
| 2926 |
+
"minRamGb": 36,
|
| 2927 |
+
"estimatedLoadGb": 22.9,
|
| 2928 |
+
"kvKbPerToken": 28,
|
| 2929 |
+
"runsLocally": true,
|
| 2930 |
+
"openWeights": true,
|
| 2931 |
+
"ggufDiy": false,
|
| 2932 |
+
"runtimes": [
|
| 2933 |
+
"ollama",
|
| 2934 |
+
"llama.cpp",
|
| 2935 |
+
"lm-studio"
|
| 2936 |
+
],
|
| 2937 |
+
"bestFor": "Agentic coding, Long context",
|
| 2938 |
+
"ollamaCommand": "ollama run flint:40b"
|
| 2939 |
+
},
|
| 2940 |
+
{
|
| 2941 |
+
"model": "Mellum2.1 12B-A2.5B Thinking",
|
| 2942 |
+
"family": "Mellum",
|
| 2943 |
+
"params": 12.1,
|
| 2944 |
+
"quantization": "Q4_K_M",
|
| 2945 |
+
"minRamGb": 16,
|
| 2946 |
+
"estimatedLoadGb": 8.1,
|
| 2947 |
+
"kvKbPerToken": 14,
|
| 2948 |
+
"runsLocally": true,
|
| 2949 |
+
"openWeights": true,
|
| 2950 |
+
"ggufDiy": false,
|
| 2951 |
+
"runtimes": [
|
| 2952 |
+
"ollama",
|
| 2953 |
+
"llama.cpp",
|
| 2954 |
+
"lm-studio"
|
| 2955 |
+
],
|
| 2956 |
+
"bestFor": "Agentic coding, Small machines",
|
| 2957 |
+
"ollamaCommand": null
|
| 2958 |
+
},
|
| 2959 |
+
{
|
| 2960 |
+
"model": "Kolibri 1",
|
| 2961 |
+
"family": "Kolibri",
|
| 2962 |
+
"params": 78.1,
|
| 2963 |
+
"quantization": "Q4_K_M",
|
| 2964 |
+
"minRamGb": 96,
|
| 2965 |
+
"estimatedLoadGb": 49.8,
|
| 2966 |
+
"kvKbPerToken": 20,
|
| 2967 |
+
"runsLocally": true,
|
| 2968 |
+
"openWeights": true,
|
| 2969 |
+
"ggufDiy": false,
|
| 2970 |
+
"runtimes": [
|
| 2971 |
+
"ollama",
|
| 2972 |
+
"llama.cpp",
|
| 2973 |
+
"lm-studio"
|
| 2974 |
+
],
|
| 2975 |
+
"bestFor": "Reasoning, German, Long context",
|
| 2976 |
+
"ollamaCommand": null
|
| 2977 |
+
},
|
| 2978 |
+
{
|
| 2979 |
+
"model": "Kolibri 1 (IQ4_XS)",
|
| 2980 |
+
"family": "Kolibri",
|
| 2981 |
+
"params": 78.1,
|
| 2982 |
+
"quantization": "IQ4_XS",
|
| 2983 |
+
"minRamGb": 64,
|
| 2984 |
+
"estimatedLoadGb": 43.6,
|
| 2985 |
+
"kvKbPerToken": 20,
|
| 2986 |
+
"runsLocally": true,
|
| 2987 |
+
"openWeights": true,
|
| 2988 |
+
"ggufDiy": false,
|
| 2989 |
+
"runtimes": [
|
| 2990 |
+
"ollama",
|
| 2991 |
+
"llama.cpp",
|
| 2992 |
+
"lm-studio"
|
| 2993 |
+
],
|
| 2994 |
+
"bestFor": "Reasoning, German, Long context",
|
| 2995 |
+
"ollamaCommand": null
|
| 2996 |
+
},
|
| 2997 |
+
{
|
| 2998 |
+
"model": "AREX-2 27B",
|
| 2999 |
+
"family": "AREX",
|
| 3000 |
+
"params": 27.4,
|
| 3001 |
+
"quantization": "Q4_K_M",
|
| 3002 |
+
"minRamGb": 32,
|
| 3003 |
+
"estimatedLoadGb": 17.2,
|
| 3004 |
+
"kvKbPerToken": 64,
|
| 3005 |
+
"runsLocally": true,
|
| 3006 |
+
"openWeights": true,
|
| 3007 |
+
"ggufDiy": false,
|
| 3008 |
+
"runtimes": [
|
| 3009 |
+
"ollama",
|
| 3010 |
+
"llama.cpp",
|
| 3011 |
+
"lm-studio"
|
| 3012 |
+
],
|
| 3013 |
+
"bestFor": "Agents, Deep research, Coding",
|
| 3014 |
+
"ollamaCommand": null
|
| 3015 |
+
},
|
| 3016 |
+
{
|
| 3017 |
+
"model": "Muse Spark Open",
|
| 3018 |
+
"family": "Muse",
|
| 3019 |
+
"params": 816,
|
| 3020 |
+
"quantization": "API",
|
| 3021 |
+
"minRamGb": 0,
|
| 3022 |
+
"estimatedLoadGb": 0,
|
| 3023 |
+
"kvKbPerToken": null,
|
| 3024 |
+
"runsLocally": false,
|
| 3025 |
+
"openWeights": true,
|
| 3026 |
+
"ggufDiy": false,
|
| 3027 |
+
"runtimes": [],
|
| 3028 |
+
"bestFor": "Agentic coding, Multimodal, Long context",
|
| 3029 |
+
"ollamaCommand": null
|
| 3030 |
+
},
|
| 3031 |
+
{
|
| 3032 |
+
"model": "MiniMax M3.1 Flash",
|
| 3033 |
+
"family": "MiniMax",
|
| 3034 |
+
"params": 428,
|
| 3035 |
+
"quantization": "API",
|
| 3036 |
+
"minRamGb": 0,
|
| 3037 |
+
"estimatedLoadGb": 0,
|
| 3038 |
+
"kvKbPerToken": null,
|
| 3039 |
+
"runsLocally": false,
|
| 3040 |
+
"openWeights": true,
|
| 3041 |
+
"ggufDiy": false,
|
| 3042 |
+
"runtimes": [],
|
| 3043 |
+
"bestFor": "Coding, Agentic, Computer use",
|
| 3044 |
+
"ollamaCommand": null
|
| 3045 |
+
},
|
| 3046 |
+
{
|
| 3047 |
+
"model": "Beam 1.0",
|
| 3048 |
+
"family": "Beam",
|
| 3049 |
+
"params": 501,
|
| 3050 |
+
"quantization": "API",
|
| 3051 |
+
"minRamGb": 0,
|
| 3052 |
+
"estimatedLoadGb": 0,
|
| 3053 |
+
"kvKbPerToken": null,
|
| 3054 |
+
"runsLocally": false,
|
| 3055 |
+
"openWeights": true,
|
| 3056 |
+
"ggufDiy": false,
|
| 3057 |
+
"runtimes": [],
|
| 3058 |
+
"bestFor": "Agentic coding, Reasoning, Long context",
|
| 3059 |
+
"ollamaCommand": null
|
| 3060 |
}
|
| 3061 |
]
|
| 3062 |
}
|