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Llama 3 8B Instruct GPTQ 4bit by ISTA-DASLab

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  4-bit   4bit   Autotrain compatible   Conversational   Gptq   Instruct   Llama   Quantized   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/ISTA-DASLab/Llama-3-8B-Instruct-GPTQ-4bit 

Llama 3 8B Instruct GPTQ 4bit Benchmarks

LLME Score: 0.18543
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Llama 3 8B Instruct GPTQ 4bit (ISTA-DASLab/Llama-3-8B-Instruct-GPTQ-4bit)

Llama 3 8B Instruct GPTQ 4bit Parameters and Internals

Model Type 
Language Model, Quantized Model
Additional Notes 
The model is a 4-bit quantized version of the Llama 3 series using the GPTQ method, aimed at improving efficiency and maintaining performance.
Training Details 
Data Sources:
HuggingFaceH4/ultrachat_200k
Methodology:
GPTQ for 4-bit quantization
LLM NameLlama 3 8B Instruct GPTQ 4bit
Repository 🤗https://huggingface.co/ISTA-DASLab/Llama-3-8B-Instruct-GPTQ-4bit 
Model Size8b
Required VRAM5.8 GB
Updated2025-02-22
MaintainerISTA-DASLab
Model Typellama
Instruction-BasedYes
Model Files  4.7 GB: 1-of-2   1.1 GB: 2-of-2
GPTQ QuantizationYes
Quantization Typegptq|4bit
Model ArchitectureLlamaForCausalLM
Licensellama3
Context Length8192
Model Max Length8192
Transformers Version4.40.0
Tokenizer ClassPreTrainedTokenizerFast
Vocabulary Size128256
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than ISTA-DASLab/Llama-3-8B-Instruct-GPTQ-4bit.

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227
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