ConfTuner Ministral by liushiliushi

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  Arxiv:2508.18847   Autotrain compatible Base model:finetune:mistralai/... Base model:mistralai/ministral...   Confidence-estimation   Conversational   Endpoints compatible   Finetuned   Instruct   Lora   Mistral   Peft   Region:us   Safetensors   Sharded   Tensorflow   Trustworthy-ai

ConfTuner Ministral Benchmarks

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

LLM NameConfTuner Ministral
Repository ๐Ÿค—https://huggingface.co/liushiliushi/ConfTuner-Ministral 
Base Model(s)  Ministral 8B Instruct 2410   mistralai/Ministral-8B-Instruct-2410
Model Size8b
Required VRAM16.1 GB
Updated2025-09-21
Maintainerliushiliushi
Instruction-BasedYes
Model Files  0.0 GB   5.0 GB: 1-of-4   5.0 GB: 2-of-4   5.0 GB: 3-of-4   1.1 GB: 4-of-4
Model ArchitectureAutoModelForCausalLM
Licenseother
Is Biasednone
Tokenizer ClassLlamaTokenizer
Padding Token</s>
PEFT TypeLORA
LoRA ModelYes
PEFT Target Modulesq_proj|v_proj
LoRA Alpha32
LoRA Dropout0.05
R Param8

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Rank the ConfTuner Ministral Capabilities

๐Ÿ†˜ Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! ๐ŸŒŸ

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