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

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Llama 3 8B Instruct 262K 4bit GPTQ Benchmarks

LLME Score: 0.2221
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 Parameters and Internals

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
Updated2024-09-07
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
Llama 3 8B Instruct 262K 4bit GPTQ (Ksgk-fy/Llama-3-8B-Instruct-262k-4bit-GPTQ)

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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.

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Release v2024072803
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