Mistral Large Instruct 2407 AWQ by TechxGenus

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Mistral Large Instruct 2407 AWQ is an open-source language model by TechxGenus. Features: 122.6b LLM, VRAM: 64.5GB, Context: 128K, License: other, Quantized, Instruction-Based, LLM Explorer Score: 0.15.

  4-bit   Awq   Conversational   De   En   Endpoints compatible   Es   Fr   Instruct   It   Ja   Ko   Mistral   Pt   Quantized   Region:us   Ru   Safetensors   Sharded   Tensorflow   Zh

Mistral Large Instruct 2407 AWQ Benchmarks

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

Mistral Large Instruct 2407 AWQ Parameters and Internals

LLM NameMistral Large Instruct 2407 AWQ
Repository 🤗https://huggingface.co/TechxGenus/Mistral-Large-Instruct-2407-AWQ 
Model Size122.6b
Required VRAM64.5 GB
Updated2026-05-12
MaintainerTechxGenus
Model Typemistral
Instruction-BasedYes
Model Files  4.9 GB: 1-of-14   4.8 GB: 2-of-14   4.8 GB: 3-of-14   5.0 GB: 4-of-14   4.9 GB: 5-of-14   4.8 GB: 6-of-14   4.8 GB: 7-of-14   4.8 GB: 8-of-14   5.0 GB: 9-of-14   4.9 GB: 10-of-14   4.8 GB: 11-of-14   4.8 GB: 12-of-14   4.8 GB: 13-of-14   1.4 GB: 14-of-14
Supported Languagesen fr de es it pt zh ja ru ko
AWQ QuantizationYes
Quantization Typeawq
Model ArchitectureMistralForCausalLM
Licenseother
Context Length131072
Model Max Length131072
Transformers Version4.43.2
Tokenizer ClassLlamaTokenizer
Vocabulary Size32768
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than TechxGenus/Mistral-Large-Instruct-2407-AWQ.

Rank the Mistral Large Instruct 2407 AWQ 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