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Wolfram Miqu 1 120B 4.0bpw H6 EXL2 by LoneStriker

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Wolfram Miqu 1 120B 4.0bpw H6 EXL2 Benchmarks

LLME Score: 0.19092
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Wolfram Miqu 1 120B 4.0bpw H6 EXL2 Parameters and Internals

LLM NameWolfram Miqu 1 120B 4.0bpw H6 EXL2
Repository 🤗https://huggingface.co/LoneStriker/wolfram_miqu-1-120b-4.0bpw-h6-exl2 
Base Model(s)  Miqu 1 70B Sf   152334H/miqu-1-70b-sf
Model Size70b
Required VRAM60.6 GB
Updated2024-09-16
MaintainerLoneStriker
Model Typellama
Model Files  8.5 GB: 1-of-8   8.6 GB: 2-of-8   8.5 GB: 3-of-8   8.5 GB: 4-of-8   8.6 GB: 5-of-8   8.5 GB: 6-of-8   8.5 GB: 7-of-8   0.9 GB: 8-of-8
Supported Languagesen de fr es it
Quantization Typeexl2
Model ArchitectureLlamaForCausalLM
Context Length32764
Model Max Length32764
Transformers Version4.37.2
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
Vocabulary Size32000
Torch Data Typefloat16
Wolfram Miqu 1 120B 4.0bpw H6 EXL2 (LoneStriker/wolfram_miqu-1-120b-4.0bpw-h6-exl2)

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Note: green Score (e.g. "73.2") means that the model is better than LoneStriker/wolfram_miqu-1-120b-4.0bpw-h6-exl2.

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Release v2024072803
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