What are the hardware requirements for Mistral 7B Professional Law?

Mistral 7B Professional Law requires approximately 0.2 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Mistral 7B Professional Law and how large is it?

Mistral 7B Professional Law is developed by asabry1233, 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 7B Professional Law?

Mistral 7B Professional Law is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Mistral 7B Professional Law by asabry1233 — VRAM 0.2GB

Name: Mistral 7B Professional Law
Author: asabry1233

Mistral 7B Professional Law is an open-source language model by asabry1233. Features: 7b LLM, VRAM: 0.2GB, Fine-Tuned, Instruction-Based, LLM Explorer Score: 0.22.

Base model:adapter:mistralai/m... Base model:mistralai/mistral-7... Conversational Finetuned Instruct Lora Peft Region:us Safetensors Sft Trl

Model Card on HF 🤗: https://huggingface.co/asabry1233/mistral-7b-professional-law

Mistral 7B Professional Law Parameters and Internals

LLM Name	Mistral 7B Professional Law
Repository 🤗	https://huggingface.co/asabry1233/mistral-7b-professional-law
Model Name	finetuned-mistral
Base Model(s)	mistralai/Mistral-7B-Instruct-v0.3 mistralai/Mistral-7B-Instruct-v0.3
Model Size	7b
Required VRAM	0.2 GB
Updated	2026-11-11
Maintainer	asabry1233
Instruction-Based	Yes
Model Files	0.2 GB 0.0 GB
Model Architecture	AutoModel
Is Biased	none
Tokenizer Class	TokenizersBackend
Padding Token	</s>
PEFT Type	LORA
LoRA Model	Yes
PEFT Target Modules	q_proj\|down_proj\|gate_proj\|v_proj\|k_proj\|up_proj\|o_proj
LoRA Alpha	32
LoRA Dropout	0.05
R Param	16

Rank the Mistral 7B Professional Law 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 asabry1233/mistral-7b-professional-law.