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Llama 3 8B Instruct 262K 4bit GPTQ 02 by Ksgk-fy

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  4-bit   4bit   Autotrain compatible   Conversational   Endpoints compatible   Gptq   Instruct   Llama   Pytorch   Quantized   Region:us
Model Card on HF 🤗: https://huggingface.co/Ksgk-fy/Llama-3-8B-Instruct-262k-4bit-GPTQ-02 

Llama 3 8B Instruct 262K 4bit GPTQ 02 Benchmarks

LLME Score: 0.15309
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 02 (Ksgk-fy/Llama-3-8B-Instruct-262k-4bit-GPTQ-02)
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Llama 3 8B Instruct 262K 4bit GPTQ 02 Parameters and Internals

LLM NameLlama 3 8B Instruct 262K 4bit GPTQ 02
Repository 🤗https://huggingface.co/Ksgk-fy/Llama-3-8B-Instruct-262k-4bit-GPTQ-02 
Model Size8b
Required VRAM5.7 GB
Updated2025-09-23
MaintainerKsgk-fy
Model Typellama
Instruction-BasedYes
Model Files  5.7 GB
GPTQ QuantizationYes
Quantization Typegptq|4bit
Model ArchitectureLlamaForCausalLM
Context Length262144
Model Max Length262144
Transformers Version4.32.1
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-02.

Rank the Llama 3 8B Instruct 262K 4bit GPTQ 02 Capabilities

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Instruction Following and Task Automation  
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