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Qwen2 57B A14B by Qwen

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  Autotrain compatible   Conversational   En   Endpoints compatible   Moe   Pretrained   Qwen2 moe   Region:us   Safetensors   Sharded   Tensorflow

Qwen2 57B A14B Benchmarks

MMLU Pro: 43.51
GPQA: 7.49
MUSR: 10.54
BBH: 38.88
IFEval: 31.13 vs 88 (so35)-64.6%
MATH Lvl 5: 18.66
LLME Score: 0.35087
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Qwen2 57B A14B Parameters and Internals

LLM NameQwen2 57B A14B
Repository 🤗https://huggingface.co/Qwen/Qwen2-57B-A14B 
Model Size57b
Required VRAM115.2 GB
Updated2024-10-18
MaintainerQwen
Model Typeqwen2_moe
Model Files  4.0 GB: 1-of-29   4.0 GB: 2-of-29   4.0 GB: 3-of-29   4.0 GB: 4-of-29   4.0 GB: 5-of-29   4.0 GB: 6-of-29   4.0 GB: 7-of-29   4.0 GB: 8-of-29   4.0 GB: 9-of-29   4.0 GB: 10-of-29   4.0 GB: 11-of-29   4.0 GB: 12-of-29   4.0 GB: 13-of-29   4.0 GB: 14-of-29   4.0 GB: 15-of-29   4.0 GB: 16-of-29   4.0 GB: 17-of-29   4.0 GB: 18-of-29   4.0 GB: 19-of-29   4.0 GB: 20-of-29   4.0 GB: 21-of-29   4.0 GB: 22-of-29   4.0 GB: 23-of-29   4.0 GB: 24-of-29   4.0 GB: 25-of-29   4.0 GB: 26-of-29   4.0 GB: 27-of-29   4.0 GB: 28-of-29   3.2 GB: 29-of-29
Supported Languagesen
Model ArchitectureQwen2MoeForCausalLM
Licenseapache-2.0
Context Length131072
Model Max Length131072
Transformers Version4.40.1
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size151936
Torch Data Typebfloat16
Errorsreplace
Qwen2 57B A14B (Qwen/Qwen2-57B-A14B)

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Note: green Score (e.g. "73.2") means that the model is better than Qwen/Qwen2-57B-A14B.

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Instruction Following and Task Automation  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803
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