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Chinese LLaMA 2 7B Hf by Linly-AI

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Chinese LLaMA 2 7B Hf is an open-source language model by Linly-AI. Features: 7b LLM, VRAM: 13.6GB, Context: 2K, HF Score: 45.4, LLM Explorer Score: 0.14, Arc: 48, HellaSwag: 73.3, MMLU: 35, TruthfulQA: 39.9, WinoGrande: 70.2, GSM8K: 6.2.

  Autotrain compatible   Endpoints compatible   Llama   Pytorch   Region:us   Sharded
Model Card on HF 🤗: https://huggingface.co/Linly-AI/Chinese-LLaMA-2-7B-hf 

Chinese LLaMA 2 7B Hf Benchmarks

ARC: 48.04 vs 96.7 (so35)-50.3%
HellaSwag: 73.25 vs 95.3 (gpt4)-23.1%
MMLU: 35.04 vs 88.3 (so35)-60.3%
TruthfulQA: 39.92 vs 59 (gpt4)-32.3%
WinoGrande: 70.17 vs 87.5 (gpt4)-19.8%
GSM8K: 6.22 vs 96.4 (so35)-93.5%
LLME Score: 0.13604
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Chinese LLaMA 2 7B Hf (Linly-AI/Chinese-LLaMA-2-7B-hf)
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Chinese LLaMA 2 7B Hf Parameters and Internals

Model Type 
text generation
Additional Notes 
Model supports both Chinese and English effectively through incremental training on mixed corpus.
Supported Languages 
Chinese (native), English (native)
Training Details 
Data Sources:
Chinese and English mixed corpus
Methodology:
incremental training with vocabulary expansion for Chinese characters
Hardware Used:
CUDA:0 GPU
Input Output 
Input Format:
text prompt with special instructions
Accepted Modalities:
text
Output Format:
text response
LLM NameChinese LLaMA 2 7B Hf
Repository 🤗https://huggingface.co/Linly-AI/Chinese-LLaMA-2-7B-hf 
Model Size7b
Required VRAM13.6 GB
Updated2025-09-23
MaintainerLinly-AI
Model Typellama
Model Files  9.9 GB: 1-of-2   3.7 GB: 2-of-2
Model ArchitectureLlamaForCausalLM
Context Length2048
Model Max Length2048
Transformers Version4.31.0
Tokenizer ClassLlamaTokenizer
Beginning of Sentence Token<s>
End of Sentence Token</s>
Unk Token<unk>
Vocabulary Size40076
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than Linly-AI/Chinese-LLaMA-2-7B-hf.

Rank the Chinese LLaMA 2 7B Hf 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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