Mistral7b Fine Tuned Qlora by ShirinYamani

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  Adapter Base model:adapter:mistralai/m... Base model:mistralai/mistral-7... Dataset:timdettmers/openassist...   En   Finetuned   Lora   Mistral-7b   Peft   Qlora   Region:us   Safetensors   Tensorboard

Mistral7b Fine Tuned Qlora Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Mistral7b Fine Tuned Qlora (ShirinYamani/mistral7b-fine-tuned-qlora)

Mistral7b Fine Tuned Qlora Parameters and Internals

Model Type 
text generation
Use Cases 
Areas:
Research, Commercial Applications
Primary Use Cases:
Text Generation
Supported Languages 
en (High)
Training Details 
Data Sources:
timdettmers/openassistant-guanaco
Methodology:
Fine-tuning
Input Output 
Accepted Modalities:
text
Output Format:
text
LLM NameMistral7b Fine Tuned Qlora
Repository ๐Ÿค—https://huggingface.co/ShirinYamani/mistral7b-fine-tuned-qlora 
Base Model(s)  mistralai/Mistral-7B-v0.1   mistralai/Mistral-7B-v0.1
Model Size7b
Required VRAM0 GB
Updated2025-02-12
MaintainerShirinYamani
Model Files  0.0 GB   0.0 GB
Supported Languagesen
Model ArchitectureAdapter
Licensemit
Is Biasednone
PEFT TypeLORA
LoRA ModelYes
PEFT Target Modulesv_proj|k_proj|q_proj|o_proj
LoRA Alpha32
LoRA Dropout0.05
R Param8

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Note: green Score (e.g. "73.2") means that the model is better than ShirinYamani/mistral7b-fine-tuned-qlora.

Rank the Mistral7b Fine Tuned Qlora 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 v20241227