Mixtral 8x7b AQLM 2Bit 1x16 Hf by ISTA-DASLab

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Mixtral 8x7b AQLM 2Bit 1x16 Hf is an open-source language model by ISTA-DASLab. Features: 6.5b LLM, VRAM: 13.1GB, Context: 32K, MoE, Quantized, LLM Explorer Score: 0.12.

  Arxiv:2401.06118   2bit   Aqlm   Endpoints compatible   Mixtral   Moe   Quantized   Region:us   Safetensors   Sharded   Tensorflow

Mixtral 8x7b AQLM 2Bit 1x16 Hf Benchmarks

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

Mixtral 8x7b AQLM 2Bit 1x16 Hf Parameters and Internals

Additional Notes 
This quantization uses 1 codebook of 16 bits.
LLM NameMixtral 8x7b AQLM 2Bit 1x16 Hf
Repository 🤗https://huggingface.co/ISTA-DASLab/Mixtral-8x7b-AQLM-2Bit-1x16-hf 
Model Size6.5b
Required VRAM13.1 GB
Updated2026-04-25
MaintainerISTA-DASLab
Model Typemixtral
Model Files  5.0 GB: 1-of-3   5.0 GB: 2-of-3   3.1 GB: 3-of-3
Quantization Type2bit
Model ArchitectureMixtralForCausalLM
Context Length32768
Model Max Length32768
Transformers Version4.38.0
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typefloat16

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...uct V0.1 OmniQuantv1 W4a16g12832K / 24.7 GB51
Note: green Score (e.g. "73.2") means that the model is better than ISTA-DASLab/Mixtral-8x7b-AQLM-2Bit-1x16-hf.

Rank the Mixtral 8x7b AQLM 2Bit 1x16 Hf Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
Text Generation  
Text Summarization and Feature Extraction  
Code Generation  
Multi-Language Support and Translation  

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Release v20260328a