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Meta Llama 3 8B Instruct 64K 4bit by mlx-community

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Meta Llama 3 8B Instruct 64K 4bit Benchmarks

LLME Score: 0.21153
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 64K 4bit Parameters and Internals

LLM NameMeta Llama 3 8B Instruct 64K 4bit
Repository 🤗https://huggingface.co/mlx-community/Meta-Llama-3-8B-Instruct-64k-4bit 
Base Model(s)  ...a Llama 3 8B Instruct 64K PoSE   Azma-AI/Meta-Llama-3-8B-Instruct-64k-PoSE
Model Size8b
Required VRAM75 GB
Updated2024-09-19
Maintainermlx-community
Model Typellama
Instruction-BasedYes
Model Files  5.2 GB: 1-of-15   5.2 GB: 2-of-15   5.4 GB: 3-of-15   5.1 GB: 4-of-15   5.2 GB: 5-of-15   5.2 GB: 6-of-15   5.4 GB: 7-of-15   5.1 GB: 8-of-15   5.2 GB: 9-of-15   5.2 GB: 10-of-15   5.4 GB: 11-of-15   5.1 GB: 12-of-15   5.2 GB: 13-of-15   5.2 GB: 14-of-15   1.9 GB: 15-of-15   4.5 GB
Supported Languagesen
Quantization Type4bit
Model ArchitectureLlamaForCausalLM
Licenseother
Context Length65536
Model Max Length65536
Transformers Version4.40.0.dev0
Tokenizer ClassPreTrainedTokenizerFast
Vocabulary Size128256
Torch Data Typebfloat16
Meta Llama 3 8B Instruct 64K 4bit (mlx-community/Meta-Llama-3-8B-Instruct-64k-4bit)

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Note: green Score (e.g. "73.2") means that the model is better than mlx-community/Meta-Llama-3-8B-Instruct-64k-4bit.

Rank the Meta Llama 3 8B Instruct 64K 4bit Capabilities

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Release v2024072803
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