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Llama 3.3 70B Instruct 6.0bpw H6 EXL2 by LoneStriker

 »  All LLMs  »  LoneStriker  »  Llama 3.3 70B Instruct 6.0bpw H6 EXL2   URL Share it on

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Model Card on HF 🤗: https://huggingface.co/LoneStriker/Llama-3.3-70B-Instruct-6.0bpw-h6-exl2 

Llama 3.3 70B Instruct 6.0bpw H6 EXL2 Benchmarks

LLME Score: 0.28139
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Llama 3.3 70B Instruct 6.0bpw H6 EXL2 (LoneStriker/Llama-3.3-70B-Instruct-6.0bpw-h6-exl2)

Llama 3.3 70B Instruct 6.0bpw H6 EXL2 Parameters and Internals

LLM NameLlama 3.3 70B Instruct 6.0bpw H6 EXL2
Repository 🤗https://huggingface.co/LoneStriker/Llama-3.3-70B-Instruct-6.0bpw-h6-exl2 
Base Model(s)  meta-llama/Llama-3.1-70B   meta-llama/Llama-3.1-70B
Model Size70b
Required VRAM54.3 GB
Updated2024-12-21
MaintainerLoneStriker
Model Typellama
Instruction-BasedYes
Model Files  8.5 GB: 1-of-7   8.5 GB: 2-of-7   8.5 GB: 3-of-7   8.5 GB: 4-of-7   8.6 GB: 5-of-7   8.6 GB: 6-of-7   3.1 GB: 7-of-7
Supported Languagesen fr it pt hi es th de
Quantization Typeexl2
Model ArchitectureLlamaForCausalLM
Licensellama3.3
Context Length131072
Model Max Length131072
Transformers Version4.47.0.dev0
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|finetune_right_pad_id|>
Vocabulary Size128256
Torch Data Typebfloat16

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Rank the Llama 3.3 70B Instruct 6.0bpw H6 EXL2 Capabilities

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241217
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