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Meta Llama 3 Instruct 120B Cat A Llama EXL2 4.5bpw by gbueno86

 »  All LLMs  »  gbueno86  »  Meta Llama 3 Instruct 120B Cat A Llama EXL2 4.5bpw   URL Share it on

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  Merged Model   Autotrain compatible   Conversational   Endpoints compatible   Exl2   Instruct   Llama   Quantized   Region:us   Safetensors   Sharded   Tensorflow

Meta Llama 3 Instruct 120B Cat A Llama EXL2 4.5bpw Benchmarks

LLME Score: 0.22072
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Meta Llama 3 Instruct 120B Cat A Llama EXL2 4.5bpw Parameters and Internals

LLM NameMeta Llama 3 Instruct 120B Cat A Llama EXL2 4.5bpw
Repository 🤗https://huggingface.co/gbueno86/Meta-Llama-3-Instruct-120b-Cat-a-llama-exl2-4.5bpw 
Base Model(s)  ...ma 3 Instruct 120B Cat A Llama   gbueno86/Meta-Llama-3-Instruct-120b-Cat-a-llama
Merged ModelYes
Model Size120b
Required VRAM70.3 GB
Updated2024-09-07
Maintainergbueno86
Model Typellama
Instruction-BasedYes
Model Files  8.6 GB: 1-of-9   8.6 GB: 2-of-9   8.5 GB: 3-of-9   8.5 GB: 4-of-9   8.4 GB: 5-of-9   8.5 GB: 6-of-9   8.5 GB: 7-of-9   8.5 GB: 8-of-9   2.2 GB: 9-of-9
Quantization Typeexl2
Model ArchitectureLlamaForCausalLM
Context Length8192
Model Max Length8192
Transformers Version4.40.1
Tokenizer ClassPreTrainedTokenizerFast
Vocabulary Size128256
Torch Data Typebfloat16
Meta Llama 3 Instruct 120B Cat A Llama EXL2 4.5bpw (gbueno86/Meta-Llama-3-Instruct-120b-Cat-a-llama-exl2-4.5bpw)

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Note: green Score (e.g. "73.2") means that the model is better than gbueno86/Meta-Llama-3-Instruct-120b-Cat-a-llama-exl2-4.5bpw.

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Release v2024072803
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