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Goliath 120B 6.0bpw H6 EXL2 by LoneStriker

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Goliath 120B 6.0bpw H6 EXL2 Benchmarks

LLME Score: 0.18064
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Goliath 120B 6.0bpw H6 EXL2 Parameters and Internals

LLM NameGoliath 120B 6.0bpw H6 EXL2
Repository 🤗https://huggingface.co/LoneStriker/goliath-120b-6.0bpw-h6-exl2 
Model Size120b
Required VRAM88.9 GB
Updated2024-09-16
MaintainerLoneStriker
Model Typellama
Model Files  8.6 GB: 1-of-11   8.6 GB: 2-of-11   8.4 GB: 3-of-11   8.4 GB: 4-of-11   8.5 GB: 5-of-11   8.5 GB: 6-of-11   8.6 GB: 7-of-11   8.6 GB: 8-of-11   8.6 GB: 9-of-11   8.6 GB: 10-of-11   3.5 GB: 11-of-11
Supported Languagesen
Quantization Typeexl2
Model ArchitectureLlamaForCausalLM
Licensellama2
Context Length4096
Model Max Length4096
Transformers Version4.35.0
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typefloat16
Goliath 120B 6.0bpw H6 EXL2 (LoneStriker/goliath-120b-6.0bpw-h6-exl2)

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Note: green Score (e.g. "73.2") means that the model is better than LoneStriker/goliath-120b-6.0bpw-h6-exl2.

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803
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