Alpine Magnum 72B EXL2 5bpw by gghfez

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Alpine Magnum 72B EXL2 5bpw Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Alpine Magnum 72B EXL2 5bpw (gghfez/alpine-magnum-72b-exl2-5bpw)

Alpine Magnum 72B EXL2 5bpw Parameters and Internals

LLM NameAlpine Magnum 72B EXL2 5bpw
Repository ๐Ÿค—https://huggingface.co/gghfez/alpine-magnum-72b-exl2-5bpw 
Model Size72b
Required VRAM47.4 GB
Updated2024-09-12
Maintainergghfez
Model Typeqwen2
Model Files  8.5 GB: 1-of-6   8.5 GB: 2-of-6   8.5 GB: 3-of-6   8.5 GB: 4-of-6   8.6 GB: 5-of-6   4.8 GB: 6-of-6
Supported Languagesen zh
Quantization Typeexl2
Model ArchitectureQwen2ForCausalLM
Licenseother
Context Length32768
Model Max Length32768
Transformers Version4.40.0.dev0
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size152064
Torch Data Typebfloat16
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than gghfez/alpine-magnum-72b-exl2-5bpw.

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227