Orangetin OpenHermes Mixtral 8x7B GPTQ by TheBloke

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Orangetin OpenHermes Mixtral 8x7B GPTQ Benchmarks

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

Orangetin OpenHermes Mixtral 8x7B GPTQ Parameters and Internals

LLM NameOrangetin OpenHermes Mixtral 8x7B GPTQ
Repository ๐Ÿค—https://huggingface.co/TheBloke/orangetin-OpenHermes-Mixtral-8x7B-GPTQ 
Model NameOrangetin OpenHermes Mixtral 8X7B
Model CreatorOrangeTin
Base Model(s)  OpenHermes Mixtral 8x7B   orangetin/OpenHermes-Mixtral-8x7B
Model Size6.1b
Required VRAM23.8 GB
Updated2024-09-29
MaintainerTheBloke
Model Typemixtral
Model Files  23.8 GB
Supported Languagesen
GPTQ QuantizationYes
Quantization Typegptq
Model ArchitectureMixtralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.37.0.dev0
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typebfloat16
Orangetin OpenHermes Mixtral 8x7B GPTQ (TheBloke/orangetin-OpenHermes-Mixtral-8x7B-GPTQ)

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Note: green Score (e.g. "73.2") means that the model is better than TheBloke/orangetin-OpenHermes-Mixtral-8x7B-GPTQ.

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