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Chinese Llama 2 13B Gguf by hfl

 »  All LLMs  »  hfl  »  Chinese Llama 2 13B Gguf   URL Share it on

  444   
  Autotrain compatible   Custom code   Endpoints compatible   F16   Ggml   Gguf   Llama   Q2   Quantized   Region:us
Model Card on HF 🤗: https://huggingface.co/hfl/chinese-llama-2-13b-gguf 

Chinese Llama 2 13B Gguf Benchmarks

ARC: 55.29 vs 96.7 (so35)-42.8%
HellaSwag: 78.19 vs 95.3 (gpt4)-18%
MMLU: 50.92 vs 88.3 (so35)-42.3%
TruthfulQA: 37.11 vs 59 (gpt4)-37.1%
WinoGrande: 75.22 vs 87.5 (gpt4)-14%
GSM8K: 6.52 vs 96.4 (so35)-93.2%
LLME Score: 0.18468
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 Gguf (hfl/chinese-llama-2-13b-gguf)

Chinese Llama 2 13B Gguf Parameters and Internals

Model Type 
Language Model, Quantized Model
Additional Notes 
Models with '-im' suffix indicate better performance using an important matrix.
Supported Languages 
Chinese (advanced)
LLM NameChinese Llama 2 13B Gguf
Repository 🤗https://huggingface.co/hfl/chinese-llama-2-13b-gguf 
Base Model(s)  Chinese Llama 2 13B   hfl/chinese-llama-2-13b
Model Size13b
Required VRAM5 GB
Updated2025-02-05
Maintainerhfl
Model Typellama
Model Files  26.5 GB   5.0 GB   5.6 GB   6.5 GB   6.5 GB   7.5 GB   8.0 GB   8.0 GB   9.2 GB   9.4 GB   9.4 GB   10.9 GB   10.9 GB   14.1 GB
GGML QuantizationYes
GGUF QuantizationYes
Quantization Typegguf|ggml|q2|q4_k|q5_k
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length65536
Model Max Length65536
Transformers Version4.33.3
Vocabulary Size55296
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than hfl/chinese-llama-2-13b-gguf.

Rank the Chinese Llama 2 13B Gguf 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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Release v20241227
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