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Meta Llama 3 8B Instruct AWQ 4bit by TitanML

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Model Card on HF 🤗: https://huggingface.co/TitanML/Meta-Llama-3-8B-Instruct-AWQ-4bit 

Meta Llama 3 8B Instruct AWQ 4bit Benchmarks

LLME Score: 0.15189
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 AWQ 4bit (TitanML/Meta-Llama-3-8B-Instruct-AWQ-4bit)
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Meta Llama 3 8B Instruct AWQ 4bit Parameters and Internals

LLM NameMeta Llama 3 8B Instruct AWQ 4bit
Repository 🤗https://huggingface.co/TitanML/Meta-Llama-3-8B-Instruct-AWQ-4bit 
Base Model(s)  Meta Llama 3 8B Instruct 64K   NurtureAI/Meta-Llama-3-8B-Instruct-64k
Model Size8b
Required VRAM5.8 GB
Updated2025-09-22
MaintainerTitanML
Model Typellama
Instruction-BasedYes
Model Files  4.7 GB: 1-of-2   1.1 GB: 2-of-2
AWQ QuantizationYes
Quantization Typeawq|4bit
Model ArchitectureLlamaForCausalLM
Context Length8192
Model Max Length8192
Transformers Version4.38.2
Tokenizer ClassPreTrainedTokenizerFast
Vocabulary Size128256
Torch Data Typefloat16

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...eta Llama 3 8B Instruct Hf AWQ8K / 5.8 GB16439
Meta Llama 3 8B Instruct AWQ8K / 5.8 GB12595
Meta Llama 3 8B Instruct AWQ8K / 5.8 GB60
Meta Llama 3 8B Instruct AWQ8K / 5.8 GB80
Note: green Score (e.g. "73.2") means that the model is better than TitanML/Meta-Llama-3-8B-Instruct-AWQ-4bit.

Rank the Meta Llama 3 8B Instruct AWQ 4bit Capabilities

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Instruction Following and Task Automation  
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