Smaug Llama 3 70B Instruct GPTQ 4B by cortecs

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  Arxiv:1910.09700   4-bit   4bit   Autotrain compatible   Conversational   Endpoints compatible   Gptq   Instruct   Llama   Quantized   Region:us

Smaug Llama 3 70B Instruct GPTQ 4B Benchmarks

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 4B Parameters and Internals

LLM NameSmaug Llama 3 70B Instruct GPTQ 4B
Repository ๐Ÿค—https://huggingface.co/cortecs/Smaug-Llama-3-70B-Instruct-GPTQ-4b 
Base Model(s)  Smaug Llama 3 70B Instruct   abacusai/Smaug-Llama-3-70B-Instruct
Model Size70b
Required VRAM9.9 GB
Updated2024-09-07
Maintainercortecs
Model Typellama
Instruction-BasedYes
Model Files  10.0 GB: 1-of-4   10.0 GB: 2-of-4   9.9 GB: 3-of-4   9.9 GB: 4-of-4
GPTQ QuantizationYes
Quantization Typegptq|4bit
Model ArchitectureLlamaForCausalLM
Context Length8192
Model Max Length8192
Transformers Version4.40.1
Tokenizer ClassPreTrainedTokenizerFast
Vocabulary Size128256
Torch Data Typefloat16
Smaug Llama 3 70B Instruct GPTQ 4B (cortecs/Smaug-Llama-3-70B-Instruct-GPTQ-4b)

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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-4b.

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803