What are the hardware requirements for Mistral Ft Optimized 1218 GGUF?

Mistral Ft Optimized 1218 GGUF requires approximately 2.7 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Mistral Ft Optimized 1218 GGUF and how large is it?

Mistral Ft Optimized 1218 GGUF is developed by MaziyarPanahi. 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 1218 GGUF?

Mistral Ft Optimized 1218 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 1218 GGUF by MaziyarPanahi — VRAM 2.7GB

Name: Mistral Ft Optimized 1218 GGUF
Author: MaziyarPanahi

Mistral Ft Optimized 1218 GGUF is an open-source language model by MaziyarPanahi. Features: LLM, VRAM: 2.7GB, License: apache-2.0, Quantized, LLM Explorer Score: 0.11.

2-bit 3-bit 4-bit 5-bit 6-bit 8-bit Autotrain compatible Base model:openpipe/mistral-ft... Base model:quantized:openpipe/... En Endpoints compatible Gguf Has space Mistral Quantized Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/MaziyarPanahi/mistral-ft-optimized-1218-GGUF

Mistral Ft Optimized 1218 GGUF Parameters and Internals

Model Type

text-generation

Additional Notes

The model is quantized in various formats ranging from 2-bit to 8-bit GGUF format and utilizes transformers and safetensors. It supports the English language and is compatible with Autotrain and Endpoints.

LLM Name	Mistral Ft Optimized 1218 GGUF
Repository 🤗	https://huggingface.co/MaziyarPanahi/mistral-ft-optimized-1218-GGUF
Model Name	mistral-ft-optimized-1218-GGUF
Model Creator	OpenPipe
Base Model(s)	Mistral Ft Optimized 1218 OpenPipe/mistral-ft-optimized-1218
Required VRAM	2.7 GB
Updated	2026-08-04
Maintainer	MaziyarPanahi
Model Type	mistral
Model Files	2.7 GB 3.8 GB 3.5 GB 3.2 GB 4.4 GB 4.1 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 1218 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

Best Alternatives to Mistral Ft Optimized 1218 GGUF

Best Alternatives	Context / RAM	Downloads	Likes
ComicBot V.2 Gguf	32K / 5 GB	54	0
Qwen3 Medical GRPO GGUF	0K / 1.7 GB	440	6
Gemma2 WizardLM	0K / 5.2 GB	22	0
...ixtral 8x7B Instruct V0.1 GGUF	0K / 15.6 GB	18491	655
Marco O1 GGUF	0K / 3 GB	262	6
Phi 2 GGUF	0K / 1.2 GB	21217	233
Dolphin 2.5 Mixtral 8x7b GGUF	0K / 15.6 GB	18101	314
Dolphin 2.7 Mixtral 8x7b GGUF	0K / 15.6 GB	12812	176
GOAT Llama3.1 V0.1	0K / 0.2 GB	39	3
Mixtral 8x7B V0.1 GGUF	0K / 15.6 GB	4192	438

Note: green Score (e.g. "73.2") means that the model is better than MaziyarPanahi/mistral-ft-optimized-1218-GGUF.