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Chinese Llama 2 13B by hfl

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Chinese Llama 2 13B is an open-source language model by hfl. Features: 13b LLM, VRAM: 26.5GB, Context: 4K, License: apache-2.0, HF Score: 52, LLM Explorer Score: 0.15, Arc: 55.8, HellaSwag: 79.5, MMLU: 52.9, TruthfulQA: 38.3, WinoGrande: 75.7, GSM8K: 9.8.

  En   Endpoints compatible   Llama   Pytorch   Region:us   Sharded   Zh
Model Card on HF 🤗: https://huggingface.co/hfl/chinese-llama-2-13b 

Chinese Llama 2 13B Benchmarks

ARC: 55.8 vs 96.7 (so35)-42.3%
HellaSwag: 79.51 vs 95.3 (gpt4)-16.6%
MMLU: 52.94 vs 88.3 (so35)-40%
TruthfulQA: 38.26 vs 59 (gpt4)-35.2%
WinoGrande: 75.69 vs 87.5 (gpt4)-13.5%
GSM8K: 9.78 vs 96.4 (so35)-89.9%
LLME Score: 0.14755
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 13B (hfl/chinese-llama-2-13b)
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Chinese Llama 2 13B Parameters and Internals

Model Type 
full-parameter model, instruction-following model
Additional Notes 
Chinese-LLaMA-2-7B is part of the second generation of the Chinese LLaMA & Alpaca LLM project, and it's based on Llama-2 by Meta. It supports a 4K context and can be expanded up to 18K+ using the NTK method. It uses a new extended Chinese vocabulary beyond Llama-2 and has been improved by large-scale Chinese data for better semantic understanding.
Supported Languages 
zh (High), en (High)
LLM NameChinese Llama 2 13B
Repository 🤗https://huggingface.co/hfl/chinese-llama-2-13b 
Model Size13b
Required VRAM26.5 GB
Updated2026-04-25
Maintainerhfl
Model Typellama
Model Files  10.2 GB: 1-of-3   9.9 GB: 2-of-3   6.4 GB: 3-of-3
Supported Languageszh en
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length4096
Model Max Length4096
Transformers Version4.32.0.dev0
Tokenizer ClassLlamaTokenizer
Beginning of Sentence Token<s>
End of Sentence Token</s>
Unk Token<unk>
Vocabulary Size55296
Torch Data Typefloat16

Quantized Models of the Chinese Llama 2 13B

Model
Likes
Downloads
VRAM
Chinese Llama 2 13B Gguf52265 GB

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Rank the Chinese Llama 2 13B 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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