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Mixtral 7Bx4 MoE 24B by cloudyu

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  Autotrain compatible   Endpoints compatible   Mixtral   Model-index   Moe   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/cloudyu/Mixtral_7Bx4_MOE_24B 

Mixtral 7Bx4 MoE 24B Benchmarks

ARC: 65.36 vs 96.7 (so35)-32.4%
HellaSwag: 85.23 vs 95.3 (gpt4)-10.6%
MMLU: 62.96 vs 88.3 (so35)-28.7%
TruthfulQA: 59.78 vs 59 (gpt4)1.3%
WinoGrande: 78.06 vs 87.5 (gpt4)-10.8%
GSM8K: 61.71 vs 96.4 (so35)-36%
LLME Score: 0.18737
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Mixtral 7Bx4 MoE 24B (cloudyu/Mixtral_7Bx4_MOE_24B)

Mixtral 7Bx4 MoE 24B Parameters and Internals

Model Type 
text generation
Additional Notes 
Merged using mergekit with other models.
Training Details 
Methodology:
Improved by DPO
Input Output 
Input Format:
text prompts
Accepted Modalities:
text
Output Format:
text
LLM NameMixtral 7Bx4 MoE 24B
Repository 🤗https://huggingface.co/cloudyu/Mixtral_7Bx4_MOE_24B 
Model Size24.2b
Required VRAM48.3 GB
Updated2025-02-05
Maintainercloudyu
Model Typemixtral
Model Files  9.9 GB: 1-of-5   10.0 GB: 2-of-5   10.0 GB: 3-of-5   10.0 GB: 4-of-5   8.4 GB: 5-of-5
Model ArchitectureMixtralForCausalLM
Licensecc-by-nc-4.0
Context Length32768
Model Max Length32768
Transformers Version4.36.2
Tokenizer ClassLlamaTokenizer
Padding Token<s>
Vocabulary Size32000
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than cloudyu/Mixtral_7Bx4_MOE_24B.

Rank the Mixtral 7Bx4 MoE 24B 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227
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