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Yi 34Bx2 MoE 200K by cloudyu

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  Autotrain compatible   Conversational   Endpoints compatible   Mixtral   Moe   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/cloudyu/Yi-34Bx2-MOE-200K 

Yi 34Bx2 MoE 200K Benchmarks

ARC: 70.48 vs 96.7 (so35)-27.1%
HellaSwag: 84.63 vs 95.3 (gpt4)-11.2%
MMLU: 76.64 vs 88.3 (so35)-13.2%
TruthfulQA: 68.19 vs 59 (gpt4)15.6%
WinoGrande: 82.72 vs 87.5 (gpt4)-5.5%
GSM8K: 72.71 vs 96.4 (so35)-24.6%
LLME Score: 0.21942
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Yi 34Bx2 MoE 200K (cloudyu/Yi-34Bx2-MOE-200K)

Yi 34Bx2 MoE 200K Parameters and Internals

Model Type 
chat, MoE
LLM NameYi 34Bx2 MoE 200K
Repository 🤗https://huggingface.co/cloudyu/Yi-34Bx2-MOE-200K 
Model Size60.8b
Required VRAM121.9 GB
Updated2025-02-05
Maintainercloudyu
Model Typemixtral
Model Files  9.8 GB: 1-of-13   10.0 GB: 2-of-13   10.0 GB: 3-of-13   10.0 GB: 4-of-13   10.0 GB: 5-of-13   10.0 GB: 6-of-13   10.0 GB: 7-of-13   10.0 GB: 8-of-13   10.0 GB: 9-of-13   10.0 GB: 10-of-13   10.0 GB: 11-of-13   10.0 GB: 12-of-13   2.1 GB: 13-of-13
Model ArchitectureMixtralForCausalLM
Licenseother
Context Length200000
Model Max Length200000
Transformers Version4.39.1
Tokenizer ClassLlamaTokenizer
Padding Token<s>
Vocabulary Size64000
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than cloudyu/Yi-34Bx2-MOE-200K.

Rank the Yi 34Bx2 MoE 200K Capabilities

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Instruction Following and Task Automation  
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Release v20241227
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