Mistral Finetuned DialogSumm by Villian7

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  Adapter Base model:adapter:thebloke/mi... Base model:thebloke/mistral-7b...   Dataset:knkarthick/dialogsum   En   Finetuned   Generated from trainer   Gptq   Instruct   Lora   Peft   Quantized   Region:us   Safetensors   Summarization   Tensorboard

Mistral Finetuned DialogSumm Benchmarks

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

Mistral Finetuned DialogSumm Parameters and Internals

Model Type 
summarization
Supported Languages 
en (English)
Training Details 
Data Sources:
knkarthick/dialogsum
LLM NameMistral Finetuned DialogSumm
Repository ๐Ÿค—https://huggingface.co/Villian7/Mistral-Finetuned-DialogSumm 
Base Model(s)  TheBloke/Mistral-7B-Instruct-v0.1-GPTQ   TheBloke/Mistral-7B-Instruct-v0.1-GPTQ
Model Size7b
Required VRAM0 GB
Updated2024-11-21
MaintainerVillian7
Instruction-BasedYes
Model Files  0.0 GB   0.0 GB
Supported Languagesen
GPTQ QuantizationYes
Quantization Typegptq
Model ArchitectureAdapter
Licenseapache-2.0
Is Biasednone
Tokenizer ClassLlamaTokenizer
Padding Token</s>
PEFT TypeLORA
LoRA ModelYes
PEFT Target Modulesq_proj|v_proj
LoRA Alpha16
LoRA Dropout0.05
R Param16
Mistral Finetuned DialogSumm (Villian7/Mistral-Finetuned-DialogSumm)

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Note: green Score (e.g. "73.2") means that the model is better than Villian7/Mistral-Finetuned-DialogSumm.

Rank the Mistral Finetuned DialogSumm 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 v20241110