What are the hardware requirements for Fara1.5 9B 8bit?

Fara1.5 9B 8bit requires approximately 10.4 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Fara1.5 9B 8bit and how large is it?

Fara1.5 9B 8bit 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 8bit?

Fara1.5 9B 8bit is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Fara1.5 9B 8bit by mlx-community — VRAM 10.4GB

Name: Fara1.5 9B 8bit
Author: mlx-community

Fara1.5 9B 8bit is an open-source language model by mlx-community. Features: 9b LLM, VRAM: 10.4GB, License: mit, Quantized.

8-bit 8bit Agent Base model:microsoft/fara1.5-9... Base model:quantized:microsoft... Browser-automation Computer-use Conversational Cua En Fara Image-text-to-text Magentic Mlx Multimodal Quantized Qwen3 5 Region:us Safetensors Sharded Tensorflow Vision Vision-language Web-agent

Model Card on HF 🤗: https://huggingface.co/mlx-community/Fara1.5-9B-8bit

Fara1.5 9B 8bit Parameters and Internals

LLM Name	Fara1.5 9B 8bit
Repository 🤗	https://huggingface.co/mlx-community/Fara1.5-9B-8bit
Base Model(s)	microsoft/Fara1.5-9B microsoft/Fara1.5-9B
Model Size	9b
Required VRAM	10.4 GB
Updated	2026-08-08
Maintainer	mlx-community
Model Type	qwen3_5
Model Files	5.3 GB: 1-of-2 5.1 GB: 2-of-2
Supported Languages	en
Quantization Type	8bit
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 8bit 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 8bit

Best Alternatives	Context / RAM	Downloads	Likes
Ornith 1.0 9B 4bit	0K / 5.9 GB	9791	9
Qwen3.5 9B MLX 4bit	0K / 5.9 GB	22827	151
Qwen3.5 9B OptiQ 4bit	0K / 7.1 GB	10136	86
Ornith 1.0 9B 8bit	0K / 10.4 GB	2079	2
Ornith 1.0 9B 6bit	0K / 8.1 GB	828	2
... Opus Reasoning Distilled 4bit	0K / 5 GB	1370	25
Qwopus3.5 9B V3 4bit	0K / 5.9 GB	65	2
Qwen3.5 9B 4bit	0K / 5.9 GB	17566	12
Ornith 1.0 9B OptiQ 4bit	0K / 7.1 GB	1656	8
Qwen3.5 9B 6bit	0K / 8.1 GB	790	5

Note: green Score (e.g. "73.2") means that the model is better than mlx-community/Fara1.5-9B-8bit.