Mistral Charttotext FV by moetezsa

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  4bit   Adapter Base model:adapter:unsloth/mis... Base model:unsloth/mistral-7b-...   Finetuned   Generated from trainer   Instruct   Lora   Peft   Quantized   Region:us   Safetensors   Sft   Trl   Unsloth

Mistral Charttotext FV Benchmarks

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

Mistral Charttotext FV Parameters and Internals

Model Type 
trl, sft, unsloth
Additional Notes 
Frameworks used: - PEFT 0.11.1 - Transformers 4.41.2 - Pytorch 2.2.0 - Datasets 2.16.0 - Tokenizers 0.19.1
LLM NameMistral Charttotext FV
Repository ๐Ÿค—https://huggingface.co/moetezsa/mistral_charttotext_FV 
Base Model(s)  unsloth/mistral-7b-instruct-v0.2-bnb-4bit   unsloth/mistral-7b-instruct-v0.2-bnb-4bit
Model Size7b
Required VRAM0.3 GB
Updated2024-10-27
Maintainermoetezsa
Instruction-BasedYes
Model Files  0.3 GB   0.0 GB
Quantization Type4bit
Model ArchitectureAdapter
Licenseapache-2.0
Model Max Length32768
Is Biasednone
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
PEFT TypeLORA
LoRA ModelYes
PEFT Target Modulesdown_proj|up_proj|q_proj|v_proj|gate_proj|o_proj|k_proj
LoRA Alpha16
LoRA Dropout0
R Param32

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

Rank the Mistral Charttotext FV 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 v20241227