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Nous Hermes 2 Mixtral 8x7B SFT AWQ by TheBloke

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Nous Hermes 2 Mixtral 8x7B SFT AWQ is an open-source language model by TheBloke. Features: 46.7b LLM, VRAM: 24.7GB, Context: 32K, License: apache-2.0, MoE, Quantized, LLM Explorer Score: 0.11.

  4-bit   Awq Base model:nousresearch/nous-h... Base model:quantized:nousresea...   Chatml   Conversational   Distillation   Dpo   En   Finetuned   Gpt4   Instruct   Mixtral   Moe   Quantized   Region:us   Rlhf   Safetensors   Sharded   Synthetic data   Tensorflow
Model Card on HF 🤗: https://huggingface.co/TheBloke/Nous-Hermes-2-Mixtral-8x7B-SFT-AWQ 

Nous Hermes 2 Mixtral 8x7B SFT AWQ Benchmarks

LLME Score: 0.11309
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 SFT AWQ (TheBloke/Nous-Hermes-2-Mixtral-8x7B-SFT-AWQ)
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Nous Hermes 2 Mixtral 8x7B SFT AWQ Parameters and Internals

LLM NameNous Hermes 2 Mixtral 8x7B SFT AWQ
Repository 🤗https://huggingface.co/TheBloke/Nous-Hermes-2-Mixtral-8x7B-SFT-AWQ 
Model NameNous Hermes 2 Mixtral 8X7B SFT
Model CreatorNousResearch
Base Model(s)  Nous Hermes 2 Mixtral 8x7B SFT   NousResearch/Nous-Hermes-2-Mixtral-8x7B-SFT
Model Size46.7b
Required VRAM24.7 GB
Updated2026-04-18
MaintainerTheBloke
Model Typemixtral
Model Files  10.0 GB: 1-of-3   10.0 GB: 2-of-3   4.7 GB: 3-of-3
Supported Languagesen
AWQ QuantizationYes
Quantization Typeawq
Model ArchitectureMixtralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.37.0.dev0
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32002
Torch Data Typefloat16

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

Rank the Nous Hermes 2 Mixtral 8x7B SFT AWQ Capabilities

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