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Llama 3 Taiwan 70B Instruct GPTQ by minyichen

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  4-bit   Autotrain compatible Base model:quantized:yentingli... Base model:yentinglin/llama-3-...   Conversational   En   Endpoints compatible   Gptq   Instruct   Llama   Llama-3   Quantized   Region:us   Safetensors   Zh

Llama 3 Taiwan 70B Instruct GPTQ Benchmarks

LLME Score: 0.21642
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Llama 3 Taiwan 70B Instruct GPTQ Parameters and Internals

Model Type 
llama, text-generation
Additional Notes 
The model was quantized by minyichen using GPTQ.
Supported Languages 
zh (Native), en (Fluent)
LLM NameLlama 3 Taiwan 70B Instruct GPTQ
Repository 🤗https://huggingface.co/minyichen/Llama-3-Taiwan-70B-Instruct-GPTQ 
Model NameLlama-3-Taiwan-70B-Instruct
Model Creatoryentinglin
Base Model(s)  Llama 3 Taiwan 70B Instruct   yentinglin/Llama-3-Taiwan-70B-Instruct
Model Size70b
Required VRAM39.8 GB
Updated2024-11-21
Maintainerminyichen
Model Typellama
Instruction-BasedYes
Model Files  39.8 GB
Supported Languageszh en
GPTQ QuantizationYes
Quantization Typegptq
Model ArchitectureLlamaForCausalLM
Licensellama3
Context Length8192
Model Max Length8192
Transformers Version4.40.1
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|end_of_text|>
Vocabulary Size128256
Torch Data Typebfloat16
Llama 3 Taiwan 70B Instruct GPTQ (minyichen/Llama-3-Taiwan-70B-Instruct-GPTQ)

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...g Llama 3 70B Instruct GPTQ 8B8K / 74.4 GB11
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Note: green Score (e.g. "73.2") means that the model is better than minyichen/Llama-3-Taiwan-70B-Instruct-GPTQ.

Rank the Llama 3 Taiwan 70B Instruct GPTQ 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 v20241110
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