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Mixtral 8x7B Instruct V0.1 Hf 4bit G64 HQQ by mobiuslabsgmbh

By mobiuslabsgmbh · 18 downloads
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Mixtral 8x7B Instruct V0.1 Hf 4bit G64 HQQ is an open-source language model by mobiuslabsgmbh. Features: LLM, VRAM: 25.9GB, Context: 32K, License: apache-2.0, MoE, Quantized, Instruction-Based, LLM Explorer Score: 0.1.

  4bit   Conversational   Instruct   Mixtral   Moe   Quantized   Region:us
Model Card on HF 🤗: https://huggingface.co/mobiuslabsgmbh/Mixtral-8x7B-Instruct-v0.1-hf-4bit_g64-HQQ 

Mixtral 8x7B Instruct V0.1 Hf 4bit G64 HQQ Parameters and Internals

Model Type 
text-generation
Additional Notes 
This model uses Half-Quadratic Quantization for 4-bit quantization.
LLM NameMixtral 8x7B Instruct V0.1 Hf 4bit G64 HQQ
Repository 🤗https://huggingface.co/mobiuslabsgmbh/Mixtral-8x7B-Instruct-v0.1-hf-4bit_g64-HQQ 
Required VRAM25.9 GB
Updated2026-07-29
Maintainermobiuslabsgmbh
Model Typemixtral
Instruction-BasedYes
Model Files  25.9 GB
Quantization Type4bit
Model ArchitectureMixtralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.36.0
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typebfloat16

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