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Hercules Qwen1.5 14B by M4-ai

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  Autotrain compatible   Conversational Dataset:locutusque/hercules-v4...   En   Endpoints compatible   Qwen2   Region:us   Safetensors   Sharded   Tensorflow

Hercules Qwen1.5 14B Benchmarks

ARC: 56.23 vs 96.7 (so35)-41.9%
HellaSwag: 80.6 vs 95.3 (gpt4)-15.4%
MMLU: 68.73 vs 88.3 (so35)-22.2%
TruthfulQA: 52.03 vs 59 (gpt4)-11.8%
WinoGrande: 73.88 vs 87.5 (gpt4)-15.6%
GSM8K: 65.96 vs 96.4 (so35)-31.6%
LLME Score: 0.22577
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Hercules Qwen1.5 14B Parameters and Internals

LLM NameHercules Qwen1.5 14B
Repository 🤗https://huggingface.co/M4-ai/Hercules-Qwen1.5-14B 
Model Size14b
Required VRAM28.4 GB
Updated2024-09-07
MaintainerM4-ai
Model Typeqwen2
Model Files  1.9 GB: 1-of-15   1.9 GB: 2-of-15   1.9 GB: 3-of-15   1.9 GB: 4-of-15   1.9 GB: 5-of-15   1.9 GB: 6-of-15   1.9 GB: 7-of-15   1.9 GB: 8-of-15   1.9 GB: 9-of-15   1.9 GB: 10-of-15   1.9 GB: 11-of-15   1.9 GB: 12-of-15   1.9 GB: 13-of-15   1.9 GB: 14-of-15   1.8 GB: 15-of-15
Supported Languagesen
Model ArchitectureQwen2ForCausalLM
Licenseother
Context Length32768
Model Max Length32768
Transformers Version4.39.2
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size152064
Torch Data Typebfloat16
Errorsreplace
Hercules Qwen1.5 14B (M4-ai/Hercules-Qwen1.5-14B)

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Note: green Score (e.g. "73.2") means that the model is better than M4-ai/Hercules-Qwen1.5-14B.

Rank the Hercules Qwen1.5 14B Capabilities

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Release v2024072803
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