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Llama 3 Korean Bllossom 70B AWQ by sh2orc

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  4-bit   Autotrain compatible   Awq   Conversational   Endpoints compatible   Llama   Quantized   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/sh2orc/llama-3-Korean-Bllossom-70B-AWQ 

Llama 3 Korean Bllossom 70B AWQ Benchmarks

LLME Score: 0.18474
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Llama 3 Korean Bllossom 70B AWQ (sh2orc/llama-3-Korean-Bllossom-70B-AWQ)

Llama 3 Korean Bllossom 70B AWQ Parameters and Internals

Model Type 
AWQ Quantization
Supported Languages 
Korean (Full finetuning with Korean dataset)
LLM NameLlama 3 Korean Bllossom 70B AWQ
Repository 🤗https://huggingface.co/sh2orc/llama-3-Korean-Bllossom-70B-AWQ 
Base Model(s)  Llama 3 Korean Bllossom 120B   asiansoul/llama-3-Korean-Bllossom-120B
Model Size70b
Required VRAM40.4 GB
Updated2025-02-22
Maintainersh2orc
Model Typellama
Model Files  4.9 GB: 1-of-9   4.9 GB: 2-of-9   4.9 GB: 3-of-9   4.9 GB: 4-of-9   4.9 GB: 5-of-9   4.9 GB: 6-of-9   4.9 GB: 7-of-9   3.7 GB: 8-of-9   2.4 GB: 9-of-9
AWQ QuantizationYes
Quantization Typeawq
Model ArchitectureLlamaForCausalLM
Licensellama3
Context Length8192
Model Max Length8192
Transformers Version4.40.2
Tokenizer ClassPreTrainedTokenizerFast
Vocabulary Size145088
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than sh2orc/llama-3-Korean-Bllossom-70B-AWQ.

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Release v20241227
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