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Mixtral 8x7B Instruct V0.1 DPO by cloudyu

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Model Card on HF 🤗: https://huggingface.co/cloudyu/Mixtral-8x7B-Instruct-v0.1-DPO 

Mixtral 8x7B Instruct V0.1 DPO Benchmarks

ARC: 69.8 vs 96.7 (so35)-27.8%
HellaSwag: 87.83 vs 95.3 (gpt4)-7.8%
MMLU: 71.05 vs 88.3 (so35)-19.5%
TruthfulQA: 69.18 vs 59 (gpt4)17.3%
WinoGrande: 81.37 vs 87.5 (gpt4)-7%
GSM8K: 61.41 vs 96.4 (so35)-36.3%
LLME Score: 0.15796
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Mixtral 8x7B Instruct V0.1 DPO (cloudyu/Mixtral-8x7B-Instruct-v0.1-DPO)
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Mixtral 8x7B Instruct V0.1 DPO Parameters and Internals

Model Type 
text-generation
Additional Notes 
Metrics improved by Truthful DPO training after 100 steps.
Supported Languages 
fr (full), it (full), de (full), es (full), en (full)
Training Details 
Methodology:
DPO training
LLM NameMixtral 8x7B Instruct V0.1 DPO
Repository 🤗https://huggingface.co/cloudyu/Mixtral-8x7B-Instruct-v0.1-DPO 
Model Size46.7b
Required VRAM93.6 GB
Updated2025-09-23
Maintainercloudyu
Model Typemixtral
Instruction-BasedYes
Model Files  4.9 GB: 1-of-19   5.0 GB: 2-of-19   5.0 GB: 3-of-19   4.9 GB: 4-of-19   5.0 GB: 5-of-19   5.0 GB: 6-of-19   4.9 GB: 7-of-19   5.0 GB: 8-of-19   5.0 GB: 9-of-19   4.9 GB: 10-of-19   5.0 GB: 11-of-19   5.0 GB: 12-of-19   5.0 GB: 13-of-19   4.9 GB: 14-of-19   5.0 GB: 15-of-19   5.0 GB: 16-of-19   4.9 GB: 17-of-19   5.0 GB: 18-of-19   4.2 GB: 19-of-19
Supported Languagesfr it de es en
Model ArchitectureMixtralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.37.0
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-8x7B-Instruct-v0.1-DPO.

Rank the Mixtral 8x7B Instruct V0.1 DPO Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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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Release v20241124
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