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Smaug Llama 3 70B Instruct GPTQ 8B by cortecs

 »  All LLMs  »  cortecs  »  Smaug Llama 3 70B Instruct GPTQ 8B   URL Share it on

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  Arxiv:1910.09700   8-bit   8bit   Autotrain compatible   Conversational   Endpoints compatible   Gptq   Instruct   Llama   Quantized   Region:us   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/cortecs/Smaug-Llama-3-70B-Instruct-GPTQ-8b 

Smaug Llama 3 70B Instruct GPTQ 8B Benchmarks

LLME Score: 0.19959
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Smaug Llama 3 70B Instruct GPTQ 8B (cortecs/Smaug-Llama-3-70B-Instruct-GPTQ-8b)

Smaug Llama 3 70B Instruct GPTQ 8B Parameters and Internals

LLM NameSmaug Llama 3 70B Instruct GPTQ 8B
Repository 🤗https://huggingface.co/cortecs/Smaug-Llama-3-70B-Instruct-GPTQ-8b 
Base Model(s)  Smaug Llama 3 70B Instruct   abacusai/Smaug-Llama-3-70B-Instruct
Model Size70b
Required VRAM74.4 GB
Updated2024-12-22
Maintainercortecs
Model Typellama
Instruction-BasedYes
Model Files  10.0 GB: 1-of-8   9.8 GB: 2-of-8   9.9 GB: 3-of-8   9.9 GB: 4-of-8   10.0 GB: 5-of-8   9.9 GB: 6-of-8   9.9 GB: 7-of-8   5.0 GB: 8-of-8
GPTQ QuantizationYes
Quantization Typegptq|8bit
Model ArchitectureLlamaForCausalLM
Context Length8192
Model Max Length8192
Transformers Version4.40.1
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|end_of_text|>
Vocabulary Size128256
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than cortecs/Smaug-Llama-3-70B-Instruct-GPTQ-8b.

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Release v20241217
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