What are the hardware requirements for Mistral Ft Optimized 1227 GGUF?

Mistral Ft Optimized 1227 GGUF requires approximately 3.1 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Mistral Ft Optimized 1227 GGUF and how large is it?

Mistral Ft Optimized 1227 GGUF is developed by TheBloke. 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 Ft Optimized 1227 GGUF?

Mistral Ft Optimized 1227 GGUF is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Mistral Ft Optimized 1227 GGUF by TheBloke — VRAM 3.1GB

Name: Mistral Ft Optimized 1227 GGUF
Author: TheBloke

Mistral Ft Optimized 1227 GGUF is an open-source language model by TheBloke. Features: LLM, VRAM: 3.1GB, License: apache-2.0, Quantized, LLM Explorer Score: 0.11.

Base model:openpipe/mistral-ft... Base model:quantized:openpipe/... Gguf Mistral Quantized Region:us

Model Card on HF 🤗: https://huggingface.co/TheBloke/mistral-ft-optimized-1227-GGUF

Mistral Ft Optimized 1227 GGUF Parameters and Internals

Model Type

mistral

Use Cases

Applications:

research, commercial applications

Training Details

Methodology:

Hierarchical SLERP merge of multiple models

LLM Name	Mistral Ft Optimized 1227 GGUF
Repository 🤗	https://huggingface.co/TheBloke/mistral-ft-optimized-1227-GGUF
Model Name	Mistral FT Optimized 1227
Model Creator	OpenPipe
Base Model(s)	Mistral Ft Optimized 1227 OpenPipe/mistral-ft-optimized-1227
Required VRAM	3.1 GB
Updated	2026-07-24
Maintainer	TheBloke
Model Type	mistral
Model Files	3.1 GB 3.8 GB 3.5 GB 3.2 GB 4.1 GB 4.4 GB 4.1 GB 5.0 GB 5.1 GB 5.0 GB 5.9 GB 7.7 GB
GGUF Quantization	Yes
Quantization Type	gguf
Model Architecture	AutoModel
License	apache-2.0

Rank the Mistral Ft Optimized 1227 GGUF 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 TheBloke/mistral-ft-optimized-1227-GGUF.