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Llama 3 ELYZA JP 8B 8bit by mlx-community

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  8bit   Autotrain compatible   Conversational   En   Endpoints compatible   Ja   Llama   Mlx   Quantized   Region:us   Safetensors   Sharded   Tensorflow

Llama 3 ELYZA JP 8B 8bit Benchmarks

LLME Score: 0.22872
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Llama 3 ELYZA JP 8B 8bit Parameters and Internals

LLM NameLlama 3 ELYZA JP 8B 8bit
Repository 🤗https://huggingface.co/mlx-community/Llama-3-ELYZA-JP-8B-8bit 
Base Model(s)  Llama 3 ELYZA JP 8B   elyza/Llama-3-ELYZA-JP-8B
Model Size8b
Required VRAM8.6 GB
Updated2024-09-19
Maintainermlx-community
Model Typellama
Model Files  5.4 GB: 1-of-2   3.2 GB: 2-of-2
Supported Languagesja en
Quantization Type8bit
Model ArchitectureLlamaForCausalLM
Licensellama3
Context Length8192
Model Max Length8192
Transformers Version4.41.2
Tokenizer ClassPreTrainedTokenizerFast
Vocabulary Size128256
Torch Data Typebfloat16
Llama 3 ELYZA JP 8B 8bit (mlx-community/Llama-3-ELYZA-JP-8B-8bit)

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Note: green Score (e.g. "73.2") means that the model is better than mlx-community/Llama-3-ELYZA-JP-8B-8bit.

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Release v2024072803
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