SimLLM / models.json
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[
{
"name": "simllama-1-instruct",
"type": "Instruct",
"notes": "First from simllama series, trained on 200mb of data",
"parameters": 137841408,
"parameters_display": "137M",
"ctx": 2048,
"overall": 22.94,
"knowledge": 31.81,
"reasoning": 38.08,
"instructions": 21.34,
"coding": 0.0,
"math": 1.29,
"benchmarks": {
"MMLU": 22.9,
"HellaSwag": 26.67,
"ARC-Challenge": 18.34,
"ARC-Easy": 30.93,
"BoolQ": 55.87,
"PIQA": 56.15,
"SciQ": 45.6,
"Winogrande": 51.46,
"CommonsenseQA": 19.98,
"OpenBookQA": 12.8,
"GSM8K": 1.29,
"HumanEval": 0.0,
"MBPP": 0.0,
"IFEval loose": 22.06,
"IFEval strict": 20.62,
"TruthfulQA MC1": 28.52,
"TruthfulQA MC2": 50.14
},
"hf": "https://huggingface.co/simonko912/simllama-1-instruct"
},
{
"name": "simllama-1.1-instruct-beta",
"type": "Instruct",
"notes": "Beta of simllama 1.1",
"parameters": 435471360,
"parameters_display": "435M",
"ctx": 4096,
"overall": 26.08,
"knowledge": 37.18,
"reasoning": 39.44,
"instructions": 26.92,
"coding": 0.0,
"math": 1.97,
"benchmarks": {
"MMLU": 23.54,
"HellaSwag": 28.57,
"ARC-Challenge": 20.39,
"ARC-Easy": 45.29,
"BoolQ": 57.86,
"PIQA": 59.68,
"SciQ": 74.2,
"Winogrande": 49.64,
"CommonsenseQA": 20.48,
"OpenBookQA": 15.0,
"GSM8K": 1.97,
"HumanEval": 0.0,
"MBPP": 0.0,
"IFEval loose": 28.54,
"IFEval strict": 25.3,
"TruthfulQA MC1": 22.64,
"TruthfulQA MC2": 42.39
},
"hf": "https://huggingface.co/simonko912/simllama-1.1-instruct-beta"
},
{
"name": "simllama-1.1-base",
"type": "Base",
"notes": "Simllama 1.1 base model",
"parameters": 435471360,
"parameters_display": "435M",
"ctx": 4096,
"overall": 25.83,
"knowledge": 38.75,
"reasoning": 39.07,
"instructions": 25.06,
"coding": 0.0,
"math": 1.14,
"benchmarks": {
"MMLU": 22.99,
"HellaSwag": 28.24,
"ARC-Challenge": 18.77,
"ARC-Easy": 45.58,
"BoolQ": 60.09,
"PIQA": 58.81,
"SciQ": 76.8,
"Winogrande": 48.7,
"CommonsenseQA": 19.82,
"OpenBookQA": 18.8,
"GSM8K": 1.14,
"HumanEval": 0.0,
"MBPP": 0.0,
"IFEval loose": 25.3,
"IFEval strict": 24.82,
"TruthfulQA MC1": 23.62,
"TruthfulQA MC2": 44.68
},
"hf": "https://huggingface.co/simonko912/simllama-1.1-base"
},
{
"name": "Colibri-Nano",
"type": "MoE Instruct",
"notes": "24 layers (1 dense + 23 MoE) 64 experts, SmolLM2 tokenizer",
"parameters": 2700000000,
"parameters_display": "2.7B",
"ctx": 4096,
"overall": 26.57,
"knowledge": 36.7,
"reasoning": 41.19,
"instructions": 27.88,
"coding": 0.0,
"math": 1.29,
"benchmarks": {
"MMLU": 24.66,
"HellaSwag": 31.11,
"ARC-Challenge": 22.78,
"ARC-Easy": 42.97,
"BoolQ": 60.83,
"PIQA": 62.35,
"SciQ": 64.6,
"Winogrande": 48.78,
"CommonsenseQA": 21.31,
"OpenBookQA": 21.4,
"GSM8K": 1.29,
"HumanEval": 0.0,
"MBPP": 0.0,
"IFEval loose": 28.3,
"IFEval strict": 27.46,
"TruthfulQA MC1": 24.72,
"TruthfulQA MC2": 41.85
},
"hf": "https://huggingface.co/vovaRL/NanoColibri-Instruct"
},
{
"name": "Tinybrain-100m-instruct",
"type": "Instruct",
"notes": "LLaMA-style causal transformer",
"parameters": 103385856,
"parameters_display": "103M",
"ctx": 2048,
"overall": 25.3,
"knowledge": 35.49,
"reasoning": 40.14,
"instructions": 24.82,
"coding": 0.0,
"math": 1.9,
"benchmarks": {
"MMLU": 24.13,
"HellaSwag": 27.56,
"ARC-Challenge": 19.71,
"ARC-Easy": 42.55,
"BoolQ": 60.37,
"PIQA": 60.37,
"SciQ": 64.6,
"Winogrande": 51.78,
"CommonsenseQA": 21.05,
"OpenBookQA": 13.4,
"GSM8K": 1.9,
"HumanEval": 0.0,
"MBPP": 0.0,
"IFEval loose": 24.82,
"IFEval strict": 24.82,
"TruthfulQA MC1": 24.24,
"TruthfulQA MC2": 44.01
},
"hf": "https://huggingface.co/exnivo/tinybrain-100m-instruct"
}
]