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Llama 3 8B Instruct 262K 4bit GPTQ by Ksgk-fy

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Model Card on HF 🤗: https://huggingface.co/Ksgk-fy/Llama-3-8B-Instruct-262k-4bit-GPTQ 

Llama 3 8B Instruct 262K 4bit GPTQ Benchmarks

LLME Score: 0.19907
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 262K 4bit GPTQ (Ksgk-fy/Llama-3-8B-Instruct-262k-4bit-GPTQ)

Llama 3 8B Instruct 262K 4bit GPTQ Parameters and Internals

Model Type 
text generation, instruct
Additional Notes 
Quantized to be compatible with vLLM inference.
LLM NameLlama 3 8B Instruct 262K 4bit GPTQ
Repository 🤗https://huggingface.co/Ksgk-fy/Llama-3-8B-Instruct-262k-4bit-GPTQ 
Model Size8b
Required VRAM5.8 GB
Updated2024-12-22
MaintainerKsgk-fy
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
Context Length262144
Model Max Length262144
Transformers Version4.40.2
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 Ksgk-fy/Llama-3-8B-Instruct-262k-4bit-GPTQ.

Rank the Llama 3 8B Instruct 262K 4bit 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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Release v20241217
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