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60B MoE Coder V3 by cloudyu

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60B MoE Coder V3 is an open-source language model by cloudyu. Features: 60.8b LLM, VRAM: 121.8GB, Context: 195K, License: other, MoE, Quantized, Code Generating, HF Score: 74.8, LLM Explorer Score: 0.13, Arc: 71.2, HellaSwag: 85.4, MMLU: 75.4, TruthfulQA: 67, WinoGrande: 82.6, GSM8K: 66.9.

  Codegen   Conversational   Endpoints compatible   Fp16   Mixtral   Moe   Quantized   Region:us   Safetensors   Sharded   Tensorflow   Yi
Model Card on HF 🤗: https://huggingface.co/cloudyu/60B_MoE_Coder_v3 

60B MoE Coder V3 Benchmarks

ARC: 71.16 vs 96.7 (so35)-26.4%
HellaSwag: 85.44 vs 95.3 (gpt4)-10.3%
MMLU: 75.37 vs 88.3 (so35)-14.6%
TruthfulQA: 67.01 vs 59 (gpt4)13.6%
WinoGrande: 82.56 vs 87.5 (gpt4)-5.6%
GSM8K: 66.94 vs 96.4 (so35)-30.6%
LLME Score: 0.12585
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
60B MoE Coder V3 (cloudyu/60B_MoE_Coder_v3)
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60B MoE Coder V3 Parameters and Internals

Model Type 
chat model, general purpose
Use Cases 
Areas:
coding, general purpose
Supported Languages 
English (proficient), Chinese (proficient)
LLM Name60B MoE Coder V3
Repository 🤗https://huggingface.co/cloudyu/60B_MoE_Coder_v3 
Model Size60.8b
Required VRAM121.8 GB
Updated2026-04-06
Maintainercloudyu
Model Typemixtral
Model Files  4.9 GB: 1-of-25   4.8 GB: 2-of-25   4.9 GB: 3-of-25   4.8 GB: 4-of-25   4.9 GB: 5-of-25   4.8 GB: 6-of-25   4.9 GB: 7-of-25   5.0 GB: 8-of-25   5.0 GB: 9-of-25   5.0 GB: 10-of-25   5.0 GB: 11-of-25   5.0 GB: 12-of-25   5.0 GB: 13-of-25   5.0 GB: 14-of-25   5.0 GB: 15-of-25   5.0 GB: 16-of-25   5.0 GB: 17-of-25   5.0 GB: 18-of-25   5.0 GB: 19-of-25   5.0 GB: 20-of-25   5.0 GB: 21-of-25   5.0 GB: 22-of-25   5.0 GB: 23-of-25   5.0 GB: 24-of-25   2.8 GB: 25-of-25
Quantization Typefp16
Generates CodeYes
Model ArchitectureMixtralForCausalLM
Licenseother
Context Length200000
Model Max Length200000
Transformers Version4.37.2
Tokenizer ClassLlamaTokenizer
Padding Token<s>
Vocabulary Size64000
Torch Data Typebfloat16

Rank the 60B MoE Coder V3 Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
Text Generation  
Text Summarization and Feature Extraction  
Code Generation  
Multi-Language Support and Translation  

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