What are the hardware requirements for Mistral 7B Sft?

Mistral 7B Sft requires approximately 14.5 GB of VRAM and supports a context window of 32K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Mistral 7B Sft and how large is it?

Mistral 7B Sft is developed by NLP-Final-Project, 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 Sft?

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

Mistral 7B Sft by NLP-Final-Project — VRAM 14.5GB, 32K context

Name: Mistral 7B Sft
Author: NLP-Final-Project

Mistral 7B Sft is an open-source language model by NLP-Final-Project. Features: 7b LLM, VRAM: 14.5GB, Context: 32K, Instruction-Based, LLM Explorer Score: 0.23.

Base model:finetune:mistralai/... Base model:mistralai/mistral-7... Conversational Endpoints compatible Generated from trainer Instruct Mistral Region:us Safetensors Sft Trl

Model Card on HF 🤗: https://huggingface.co/NLP-Final-Project/mistral-7b-sft

Mistral 7B Sft Parameters and Internals

LLM Name	Mistral 7B Sft
Repository 🤗	https://huggingface.co/NLP-Final-Project/mistral-7b-sft
Model Name	mistral-7b-sft
Base Model(s)	mistralai/Mistral-7B-Instruct-v0.3 mistralai/Mistral-7B-Instruct-v0.3
Model Size	7b
Required VRAM	14.5 GB
Updated	2026-06-09
Maintainer	NLP-Final-Project
Model Type	mistral
Instruction-Based	Yes
Model Files	14.5 GB 0.0 GB
Model Architecture	MistralForCausalLM
Context Length	32768
Model Max Length	32768
Transformers Version	5.7.0
Tokenizer Class	TokenizersBackend
Padding Token	</s>
Vocabulary Size	32768

Rank the Mistral 7B Sft 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

Best Alternatives to Mistral 7B Sft

Best Alternatives	Context / RAM	Downloads	Likes
...Nemo Instruct 2407 Abliterated	1000K / 24.5 GB	220	20
SpydazWeb AI HumanAI RP	512K / 14.4 GB	16	1
SpydazWeb AI HumanAI 002	512K / 14.4 GB	18	1
...daz Web AI ChatML 512K Project	512K / 14.5 GB	12	0
... Summarize 64K QLoRANET Merged	128K / 4.1 GB	13	0
...1 Summarize 64K LoRANET Merged	128K / 14.4 GB	13	0
Mistral 7B Instruct V0.2	32K / 14.4 GB	1115337	3184
Mistral 7B Instruct V0.1	32K / 14.4 GB	253629	1846
Mistral 7B Instruct V0.2	32K / 14.4 GB	1338	0
Copywriting Llm	32K / 4.1 GB	122	1

Note: green Score (e.g. "73.2") means that the model is better than NLP-Final-Project/mistral-7b-sft.