What are the hardware requirements for Fara1.5 9B OptiQ 4bit?

Fara1.5 9B OptiQ 4bit requires approximately 7.1 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Fara1.5 9B OptiQ 4bit and how large is it?

Fara1.5 9B OptiQ 4bit is developed by mlx-community, a model with 9b 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 Fara1.5 9B OptiQ 4bit?

Fara1.5 9B OptiQ 4bit is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Fara1.5 9B OptiQ 4bit by mlx-community — VRAM 7.1GB

Name: Fara1.5 9B OptiQ 4bit
Author: mlx-community

Fara1.5 9B OptiQ 4bit is an open-source language model by mlx-community. Features: 9b LLM, VRAM: 7.1GB, License: mit, Quantized, LLM Explorer Score: 0.26.

4-bit 4bit Agent Base model:microsoft/fara1.5-9... Base model:quantized:microsoft... Computer-use Conversational En Image-text-to-text Mlx Optiq Quantized Qwen3 5 Region:us Safetensors Sharded Tensorflow Web-agent

Model Card on HF 🤗: https://huggingface.co/mlx-community/Fara1.5-9B-OptiQ-4bit

Fara1.5 9B OptiQ 4bit Parameters and Internals

LLM Name	Fara1.5 9B OptiQ 4bit
Repository 🤗	https://huggingface.co/mlx-community/Fara1.5-9B-OptiQ-4bit
Base Model(s)	microsoft/Fara1.5-9B microsoft/Fara1.5-9B
Model Size	9b
Required VRAM	7.1 GB
Updated	2026-09-18
Maintainer	mlx-community
Model Type	qwen3_5
Model Files	5.3 GB: 1-of-2 1.8 GB: 2-of-2
Supported Languages	en
Quantization Type	4bit
Model Architecture	Qwen3_5ForConditionalGeneration
License	mit
Model Max Length	262144
Transformers Version	5.6.2
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|endoftext\|>
Errors	replace

Rank the Fara1.5 9B OptiQ 4bit 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 Fara1.5 9B OptiQ 4bit

Best Alternatives	Context / RAM	Downloads	Likes
Qwen3.5 9B MLX 4bit	0K / 5.9 GB	580012	4
Qwen3.5 9B MLX 8bit	0K / 10.4 GB	550497	1
Ornith 1.5 9B MLX 4bit	0K / 5 GB	3043	18
Ornith 1.5 9B MLX 8bit	0K / 9.5 GB	2686	7
Qwen3.5 9B MLX 4bit	0K / 5.9 GB	22827	151
Ornith 1.0 9B 4bit	0K / 5.9 GB	9791	9
Qwen3.5 9B 8bit	0K / 10.4 GB	45652	17
Qwen3.8 9B Mlx 4Bit	0K / 5 GB	529	7
Qwen3.5 9B OptiQ 4bit	0K / 7.1 GB	10136	86
Qwen3.8 9B Distill Mlx 5Bit	0K / 6.1 GB	540	2

Note: green Score (e.g. "73.2") means that the model is better than mlx-community/Fara1.5-9B-OptiQ-4bit.