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Sq Mistral 7B Instruct W3 S0 by squeeze-ai-lab

 »  All LLMs  »  squeeze-ai-lab  »  Sq Mistral 7B Instruct W3 S0   URL Share it on

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  Autotrain compatible   Conversational   Endpoints compatible   Instruct   Mistral   Region:us
Model Card on HF 🤗: https://huggingface.co/squeeze-ai-lab/sq-mistral-7b-instruct-w3-s0 

Sq Mistral 7B Instruct W3 S0 Benchmarks

LLME Score: 0.12382
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Sq Mistral 7B Instruct W3 S0 (squeeze-ai-lab/sq-mistral-7b-instruct-w3-s0)
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Sq Mistral 7B Instruct W3 S0 Parameters and Internals

LLM NameSq Mistral 7B Instruct W3 S0
Repository 🤗https://huggingface.co/squeeze-ai-lab/sq-mistral-7b-instruct-w3-s0 
Model Size7b
Required VRAM3.2 GB
Updated2025-09-13
Maintainersqueeze-ai-lab
Model Typemistral
Instruction-BasedYes
Model Files  3.2 GB
Model ArchitectureMistralForCausalLM
Context Length32768
Model Max Length32768
Transformers Version4.34.0.dev0
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typebfloat16

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... Summarize 64K QLoRANET Merged128K / 4.1 GB60
...1 Summarize 64K LoRANET Merged128K / 14.4 GB110
Mistral 7B Instruct V0.232K / 14.4 GB33160952630
Mistral 7B Instruct V0.132K / 14.4 GB1531511792
Seed X Instruct 7B32K / 15 GB2662123
Mixtral AI CyberCoder32K / 14.3 GB00
Note: green Score (e.g. "73.2") means that the model is better than squeeze-ai-lab/sq-mistral-7b-instruct-w3-s0.

Rank the Sq Mistral 7B Instruct W3 S0 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
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