What are the hardware requirements for Fara 7B Onnx?

Fara 7B Onnx requires a context window of 125K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Fara 7B Onnx and how large is it?

Fara 7B Onnx is developed by microsoft, 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 Fara 7B Onnx?

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

Fara 7B Onnx by microsoft — 125K context

Name: Fara 7B Onnx
Author: microsoft

Fara 7B Onnx is an open-source language model by microsoft. Features: 7b LLM, Context: 125K, License: mit, LLM Explorer Score: 0.22.

Base model:microsoft/fara-7b Base model:quantized:microsoft... Code En Image-text-to-text Multimodal Onnx Onnx runtime Region:us

Model Card on HF 🤗: https://huggingface.co/microsoft/Fara-7B-onnx

Fara 7B Onnx Parameters and Internals

LLM Name	Fara 7B Onnx
Repository 🤗	https://huggingface.co/microsoft/Fara-7B-onnx
Base Model(s)	Fara 7B microsoft/Fara-7B
Model Size	7b
Updated	2026-08-09
Maintainer	microsoft
Model Type	qwen2_5_vl
Supported Languages	en
Model Architecture	Qwen2_5_VLForConditionalGeneration
License	mit
Context Length	128000
Model Max Length	128000
Transformers Version	4.52.4
Vocabulary Size	152064
Torch Data Type	bfloat16

Rank the Fara 7B Onnx 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 Fara 7B Onnx

Best Alternatives	Context / RAM	Downloads	Likes
OmniLong Qwen2.5 VL 7B	512K / 16.6 GB	7	2
Qwen2.5 VL 7B Instruct	125K / 16.7 GB	8740905	1666
OlmOCR 2 7B 1025 FP8	125K / 10 GB	540426	253
OlmOCR 2 7B 1025	125K / 16.6 GB	244728	157
UI TARS 1.5 7B	125K / 33.2 GB	817745	589
RolmOCR	125K / 16.6 GB	224280	589
Fara 7B	125K / 16.6 GB	2059	619
Qwen2.5 VL 7B Instruct FP4	125K / 7.2 GB	49165	3
PosterCopilot	125K / 16.7 GB	29	1
OlmOCR 7B 0825 FP8	125K / 10 GB	38011	10

Note: green Score (e.g. "73.2") means that the model is better than microsoft/Fara-7B-onnx.