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Mistral Instruct SCQA by codegood

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Mistral Instruct SCQA is an open-source language model by codegood. Features: LLM, VRAM: 5GB, Context: 32K, Instruction-Based, LLM Explorer Score: 0.1.

  Endpoints compatible   Instruct   Mistral   Pytorch   Region:us
Model Card on HF 🤗: https://huggingface.co/codegood/Mistral_Instruct_SCQA 

Mistral Instruct SCQA Benchmarks

LLME Score: 0.10388
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Mistral Instruct SCQA (codegood/Mistral_Instruct_SCQA)
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Mistral Instruct SCQA Parameters and Internals

LLM NameMistral Instruct SCQA
Repository 🤗https://huggingface.co/codegood/Mistral_Instruct_SCQA 
Required VRAM5 GB
Updated2026-05-13
Maintainercodegood
Model Typemistral
Instruction-BasedYes
Model Files  5.0 GB
Model ArchitectureMistralForCausalLM
Context Length32768
Model Max Length32768
Transformers Version4.34.0.dev0
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than codegood/Mistral_Instruct_SCQA.

Rank the Mistral Instruct SCQA 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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