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Chinese Alpaca 7B Gptq by keyfan

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  4bit   Autotrain compatible   Endpoints compatible   Gptq   Llama   Quantized   Region:us
Model Card on HF 🤗: https://huggingface.co/keyfan/chinese-alpaca-7b-gptq 

Chinese Alpaca 7B Gptq Benchmarks

LLME Score: 0.07482
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Chinese Alpaca 7B Gptq (keyfan/chinese-alpaca-7b-gptq)
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Chinese Alpaca 7B Gptq Parameters and Internals

Model Type 
text generation
Use Cases 
Areas:
research
Applications:
commercial applications
Training Details 
Data Sources:
bigscience-data/roots_zh-cn_wikipedia
Methodology:
Quantization using GPTQ
Input Output 
Accepted Modalities:
text
Performance Tips:
To use the model efficiently, utilize the GPTQ-for-LLaMa repository for specific configurations like `wbits 4` and `groupsize 128`
LLM NameChinese Alpaca 7B Gptq
Repository 🤗https://huggingface.co/keyfan/chinese-alpaca-7b-gptq 
Model Size7b
Required VRAM4.2 GB
Updated2025-11-06
Maintainerkeyfan
Model Typellama
Model Files  4.2 GB
GPTQ QuantizationYes
Quantization Typegptq|4bit
Model ArchitectureLlamaForCausalLM
Transformers Version4.28.0.dev0
Tokenizer ClassLlamaTokenizer
Vocabulary Size49954
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than keyfan/chinese-alpaca-7b-gptq.

Rank the Chinese Alpaca 7B Gptq Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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 v20241124
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