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Llama3 8B Chat DPO by mxmax

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  Merged Model   Autotrain compatible   Conversational   Endpoints compatible   Llama   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/mxmax/Llama3-8B-Chat-Dpo 

Llama3 8B Chat DPO Benchmarks

LLME Score: 0.17464
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
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Llama3 8B Chat DPO Parameters and Internals

Model Type 
language model, chatbot
Additional Notes 
The model prioritizes safety by refusing to participate in harmful activities.
Supported Languages 
Chinese (high)
Training Details 
Data Sources:
specialized Chinese safe chat dataset, hh_rlhf dataset
Methodology:
Direct Preference Optimization (DPO)
Input Output 
Input Format:
{"role": "user", "content": "message"}
Accepted Modalities:
text
Output Format:
Generated text response
LLM NameLlama3 8B Chat DPO
Repository 🤗https://huggingface.co/mxmax/Llama3-8B-Chat-Dpo 
Merged ModelYes
Model Size8b
Required VRAM16.1 GB
Updated2025-06-11
Maintainermxmax
Model Typellama
Model Files  5.0 GB: 1-of-4   5.0 GB: 2-of-4   4.9 GB: 3-of-4   1.2 GB: 4-of-4
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length8192
Model Max Length8192
Transformers Version4.41.1
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|eot_id|>
Vocabulary Size128256
Torch Data Typefloat16
Llama3 8B Chat DPO (mxmax/Llama3-8B-Chat-Dpo)

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Note: green Score (e.g. "73.2") means that the model is better than mxmax/Llama3-8B-Chat-Dpo.

Rank the Llama3 8B Chat DPO 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  
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Release v20241124
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