Llama3 8B Cn Rochat V1 by RochatAI

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Llama3 8B Cn Rochat V1 Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Llama3 8B Cn Rochat V1 (RochatAI/llama3-8B-cn-rochat-v1)

Llama3 8B Cn Rochat V1 Parameters and Internals

Model Type 
instruction-tuned, language model
Additional Notes 
Focused on tuning for Chinese role-playing
Training Details 
Data Sources:
in-house high-quality instruction-following chat datasets
Methodology:
Supervised fine-tuning, two rounds of DPO training
Input Output 
Input Format:
<|begin_of_text|><|start_header_id|>system<|end_header_id|> {system_prompt}<|eot_id|><|start_header_id|>user<|end_header_id|> {input}<|eot_id|><|start_header_id|>assistant<|end_header_id|> {output}<|eot_id|>
LLM NameLlama3 8B Cn Rochat V1
Repository ๐Ÿค—https://huggingface.co/RochatAI/llama3-8B-cn-rochat-v1 
Model Size8b
Required VRAM16.1 GB
Updated2025-02-22
MaintainerRochatAI
Model Typellama
Model Files  2.0 GB: 1-of-9   1.9 GB: 2-of-9   2.0 GB: 3-of-9   1.9 GB: 4-of-9   2.0 GB: 5-of-9   1.9 GB: 6-of-9   2.0 GB: 7-of-9   1.3 GB: 8-of-9   1.1 GB: 9-of-9
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length8192
Model Max Length8192
Transformers Version4.41.2
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|reserved_special_token_250|>
Vocabulary Size128256
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than RochatAI/llama3-8B-cn-rochat-v1.

Rank the Llama3 8B Cn Rochat V1 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