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Meta Llama 3 8B Instruct W8A8 Dyn Per Token by nm-testing

 »  All LLMs  »  nm-testing  »  Meta Llama 3 8B Instruct W8A8 Dyn Per Token   URL Share it on

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  8-bit   Autotrain compatible   Compressed-tensors   Conversational   Endpoints compatible   Instruct   Llama   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/nm-testing/Meta-Llama-3-8B-Instruct-W8A8-Dyn-Per-Token 

Meta Llama 3 8B Instruct W8A8 Dyn Per Token Benchmarks

LLME Score: 0.20686
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 W8A8 Dyn Per Token (nm-testing/Meta-Llama-3-8B-Instruct-W8A8-Dyn-Per-Token)

Meta Llama 3 8B Instruct W8A8 Dyn Per Token Parameters and Internals

LLM NameMeta Llama 3 8B Instruct W8A8 Dyn Per Token
Repository 🤗https://huggingface.co/nm-testing/Meta-Llama-3-8B-Instruct-W8A8-Dyn-Per-Token 
Model Size8b
Required VRAM9.1 GB
Updated2024-12-21
Maintainernm-testing
Model Typellama
Instruction-BasedYes
Model Files  5.0 GB: 1-of-2   4.1 GB: 2-of-2
Model ArchitectureLlamaForCausalLM
Context Length8192
Model Max Length8192
Transformers Version4.40.2
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 nm-testing/Meta-Llama-3-8B-Instruct-W8A8-Dyn-Per-Token.

Rank the Meta Llama 3 8B Instruct W8A8 Dyn Per Token Capabilities

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241217
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