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Nous Hermes 2 Mixtral 8x7B DPO GPTQ by TheBloke

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Model Card on HF 🤗: https://huggingface.co/TheBloke/Nous-Hermes-2-Mixtral-8x7B-DPO-GPTQ 

Nous Hermes 2 Mixtral 8x7B DPO GPTQ Benchmarks

LLME Score: 0.15376
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Nous Hermes 2 Mixtral 8x7B DPO GPTQ (TheBloke/Nous-Hermes-2-Mixtral-8x7B-DPO-GPTQ)
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Nous Hermes 2 Mixtral 8x7B DPO GPTQ Parameters and Internals

LLM NameNous Hermes 2 Mixtral 8x7B DPO GPTQ
Repository 🤗https://huggingface.co/TheBloke/Nous-Hermes-2-Mixtral-8x7B-DPO-GPTQ 
Model NameNous Hermes 2 Mixtral 8X7B DPO
Model CreatorNousResearch
Base Model(s)  Nous Hermes 2 Mixtral 8x7B DPO   NousResearch/Nous-Hermes-2-Mixtral-8x7B-DPO
Model Size6.1b
Required VRAM23.8 GB
Updated2025-09-23
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
Padding Token</s>
Vocabulary Size32002
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than TheBloke/Nous-Hermes-2-Mixtral-8x7B-DPO-GPTQ.

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Release v20241124
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