Llama 3 70B Instruct Gradient 262K 2.25bpw H6 EXL2 by LoneStriker

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Llama 3 70B Instruct Gradient 262K 2.25bpw H6 EXL2 Benchmarks

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

Llama 3 70B Instruct Gradient 262K 2.25bpw H6 EXL2 Parameters and Internals

LLM NameLlama 3 70B Instruct Gradient 262K 2.25bpw H6 EXL2
Repository ๐Ÿค—https://huggingface.co/LoneStriker/Llama-3-70B-Instruct-Gradient-262k-2.25bpw-h6-exl2 
Model Size70b
Required VRAM22.2 GB
Updated2024-09-06
MaintainerLoneStriker
Model Typellama
Instruction-BasedYes
Model Files  8.6 GB: 1-of-3   8.5 GB: 2-of-3   5.1 GB: 3-of-3
Supported Languagesen
Quantization Typeexl2
Model ArchitectureLlamaForCausalLM
Licensellama3
Context Length262144
Model Max Length262144
Transformers Version4.41.0.dev0
Tokenizer ClassPreTrainedTokenizerFast
Vocabulary Size128256
Torch Data Typebfloat16
Llama 3 70B Instruct Gradient 262K 2.25bpw H6 EXL2 (LoneStriker/Llama-3-70B-Instruct-Gradient-262k-2.25bpw-h6-exl2)

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Note: green Score (e.g. "73.2") means that the model is better than LoneStriker/Llama-3-70B-Instruct-Gradient-262k-2.25bpw-h6-exl2.

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