Mistral 7B Instruct V0.2 AQLM 2Bit 2x8 by ISTA-DASLab

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  Arxiv:2401.06118   2bit   8-bit   Aqlm   Autotrain compatible   Conversational   Endpoints compatible   Finetuned   Instruct   Mistral   Quantized   Region:us   Safetensors

Mistral 7B Instruct V0.2 AQLM 2Bit 2x8 Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Mistral 7B Instruct V0.2 AQLM 2Bit 2x8 (ISTA-DASLab/Mistral-7B-Instruct-v0.2-AQLM-2Bit-2x8)
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Mistral 7B Instruct V0.2 AQLM 2Bit 2x8 Parameters and Internals

Model Type 
conversational, text-generation-inference
Additional Notes 
Quantization using 2 codebooks of 8 bits.
LLM NameMistral 7B Instruct V0.2 AQLM 2Bit 2x8
Repository ๐Ÿค—https://huggingface.co/ISTA-DASLab/Mistral-7B-Instruct-v0.2-AQLM-2Bit-2x8 
Base Model(s)  mlx-community/Mistral-7B-Instruct-v0.2-8-bit-mlx   mlx-community/Mistral-7B-Instruct-v0.2-8-bit-mlx
Model Size7b
Required VRAM2.3 GB
Updated2025-08-18
MaintainerISTA-DASLab
Model Typemistral
Instruction-BasedYes
Model Files  2.3 GB
Quantization Type2bit
Model ArchitectureMistralForCausalLM
Context Length32768
Model Max Length32768
Transformers Version4.40.0.dev0
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than ISTA-DASLab/Mistral-7B-Instruct-v0.2-AQLM-2Bit-2x8.

Rank the Mistral 7B Instruct V0.2 AQLM 2Bit 2x8 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124