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Meta Llama 3 8B Instruct GPTQ 8 Bit by bjaidi

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

Meta Llama 3 8B Instruct GPTQ 8 Bit Benchmarks

LLME Score: 0.17853
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Meta Llama 3 8B Instruct GPTQ 8 Bit (bjaidi/Meta-Llama-3-8B-Instruct-GPTQ-8-bit)

Meta Llama 3 8B Instruct GPTQ 8 Bit Parameters and Internals

LLM NameMeta Llama 3 8B Instruct GPTQ 8 Bit
Repository 🤗https://huggingface.co/bjaidi/Meta-Llama-3-8B-Instruct-GPTQ-8-bit 
Base Model(s)  Meta Llama 3 8B Instruct FP8   neuralmagic/Meta-Llama-3-8B-Instruct-FP8
Model Size8b
Required VRAM9.3 GB
Updated2025-06-01
Maintainerbjaidi
Model Typellama
Instruction-BasedYes
Model Files  5.0 GB: 1-of-2   4.3 GB: 2-of-2
GPTQ QuantizationYes
Quantization Typegptq
Model ArchitectureLlamaForCausalLM
Licensemit
Context Length8192
Model Max Length8192
Transformers Version4.41.2
Tokenizer ClassPreTrainedTokenizerFast
Vocabulary Size128256
Torch Data Typefloat16

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Meta Llama 3 8B Instruct GPTQ8K / 5.7 GB24736
Meta Llama 3 8B Instruct GPTQ8K / 5.8 GB190
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Note: green Score (e.g. "73.2") means that the model is better than bjaidi/Meta-Llama-3-8B-Instruct-GPTQ-8-bit.

Rank the Meta Llama 3 8B Instruct GPTQ 8 Bit Capabilities

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Release v20241227
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