Who developed Mistral Finetuned DialogSumm and how large is it?

Mistral Finetuned DialogSumm is developed by Villian7, a model with 7b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

Where can I download or evaluate Mistral Finetuned DialogSumm?

Mistral Finetuned DialogSumm is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Mistral Finetuned DialogSumm by Villian7

Name: Mistral Finetuned DialogSumm
Author: Villian7

Mistral Finetuned DialogSumm is an open-source language model by Villian7. Features: 7b LLM, License: apache-2.0, Quantized, Fine-Tuned, Instruction-Based, LLM Explorer Score: 0.09.

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

Model Card on HF 🤗: https://huggingface.co/Villian7/Mistral-Finetuned-DialogSumm

Mistral Finetuned DialogSumm Parameters and Internals

Model Type

summarization

Supported Languages

en (English)

Training Details

Data Sources:

knkarthick/dialogsum

LLM Name	Mistral Finetuned DialogSumm
Repository 🤗	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 Size	7b
Required VRAM	0 GB
Updated	2026-08-03
Maintainer	Villian7
Instruction-Based	Yes
Model Files	0.0 GB 0.0 GB
Supported Languages	en
GPTQ Quantization	Yes
Quantization Type	gptq
Model Architecture	Adapter
License	apache-2.0
Is Biased	none
Tokenizer Class	LlamaTokenizer
Padding Token	</s>
PEFT Type	LORA
LoRA Model	Yes
PEFT Target Modules	q_proj\|v_proj
LoRA Alpha	16
LoRA Dropout	0.05
R Param	16

Rank the Mistral Finetuned DialogSumm capabilities

Have you tried this model? Rate its performance — this feedback helps the ML community find the right model for their needs.

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