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Opus V1 34B 8.0bpw H8 EXL2 by LoneStriker

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Model Card on HF 🤗: https://huggingface.co/LoneStriker/opus-v1-34b-8.0bpw-h8-exl2 

Opus V1 34B 8.0bpw H8 EXL2 Benchmarks

LLME Score: 0.17678
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Opus V1 34B 8.0bpw H8 EXL2 (LoneStriker/opus-v1-34b-8.0bpw-h8-exl2)

Opus V1 34B 8.0bpw H8 EXL2 Parameters and Internals

LLM NameOpus V1 34B 8.0bpw H8 EXL2
Repository 🤗https://huggingface.co/LoneStriker/opus-v1-34b-8.0bpw-h8-exl2 
Model Size34b
Required VRAM34.8 GB
Updated2024-12-22
MaintainerLoneStriker
Model Typellama
Model Files  8.6 GB: 1-of-5   8.5 GB: 2-of-5   8.6 GB: 3-of-5   8.6 GB: 4-of-5   0.5 GB: 5-of-5
Supported Languagesen
Quantization Typeexl2
Model ArchitectureLlamaForCausalLM
Context Length200000
Model Max Length200000
Transformers Version4.37.0
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
Vocabulary Size64000
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than LoneStriker/opus-v1-34b-8.0bpw-h8-exl2.

Rank the Opus V1 34B 8.0bpw H8 EXL2 Capabilities

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Instruction Following and Task Automation  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241217
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