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Notux 8x7b V1.3.5bpw EXL2 by JackCloudman

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  Autotrain compatible Base model:finetune:mistralai/... Base model:mistralai/mixtral-8...   Conversational Dataset:argilla/ultrafeedback-...   Dpo   En   Endpoints compatible   Exl2   Instruct   Mixtral   Moe   Preference   Quantized   Region:us   Rlaif   Safetensors   Sharded   Tensorflow   Ultrafeedback
Model Card on HF 🤗: https://huggingface.co/JackCloudman/notux-8x7b-v1-3.5bpw-exl2 

Notux 8x7b V1.3.5bpw EXL2 Benchmarks

LLME Score: 0.13411
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Notux 8x7b V1.3.5bpw EXL2 (JackCloudman/notux-8x7b-v1-3.5bpw-exl2)
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Notux 8x7b V1.3.5bpw EXL2 Parameters and Internals

LLM NameNotux 8x7b V1.3.5bpw EXL2
Repository 🤗https://huggingface.co/JackCloudman/notux-8x7b-v1-3.5bpw-exl2 
Base Model(s)  mistralai/Mixtral-8x7B-Instruct-v0.1   mistralai/Mixtral-8x7B-Instruct-v0.1
Required VRAM20.7 GB
Updated2025-07-28
MaintainerJackCloudman
Model Typemixtral
Instruction-BasedYes
Model Files  8.6 GB: 1-of-3   8.6 GB: 2-of-3   3.5 GB: 3-of-3
Supported Languagesen
Quantization Typeexl2
Model ArchitectureMixtralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.36.0
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32000
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than JackCloudman/notux-8x7b-v1-3.5bpw-exl2.

Rank the Notux 8x7b V1.3.5bpw EXL2 Capabilities

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Instruction Following and Task Automation  
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Release v20241124
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