What are the hardware requirements for Fara 9B Baseline Eval?

Fara 9B Baseline Eval requires approximately 18.8 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Fara 9B Baseline Eval and how large is it?

Fara 9B Baseline Eval is developed by WootzappLab, 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 Fara 9B Baseline Eval?

Fara 9B Baseline Eval is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Fara 9B Baseline Eval by WootzappLab — VRAM 18.8GB

Name: Fara 9B Baseline Eval
Author: WootzappLab

Fara 9B Baseline Eval is an open-source language model by WootzappLab. Features: 9b LLM, VRAM: 18.8GB, License: mit, LLM Explorer Score: 0.3.

Base model:finetune:microsoft/... Base model:microsoft/fara1.5-9... Baseline Browser-automation Computer-use Conversational Dom Endpoints compatible Evaluation Fara Image-text-to-text Qwen3 5 Region:us Reproducibility Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/WootzappLab/fara-9b-baseline-eval

Fara 9B Baseline Eval Parameters and Internals

LLM Name	Fara 9B Baseline Eval
Repository 🤗	https://huggingface.co/WootzappLab/fara-9b-baseline-eval
Base Model(s)	microsoft/Fara1.5-9B microsoft/Fara1.5-9B
Model Size	9b
Required VRAM	18.8 GB
Updated	2026-10-02
Maintainer	WootzappLab
Model Type	qwen3_5
Model Files	5.9 GB: 1-of-4 6.0 GB: 2-of-4 6.0 GB: 3-of-4 0.9 GB: 4-of-4
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 Fara 9B Baseline Eval 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 9B Baseline Eval

Best Alternatives	Context / RAM	Downloads	Likes
Qwen3.8 Distilled 9B NPU2	256K / GB	3736	4
MiMo V2.6 Distill Qwen 9B	0K / 18.8 GB	5705	429
Qwen3.5 9B	0K / 19.3 GB	12207758	1799
LensVLM 9B	0K / 18.8 GB	1840	258
Qwable 9B Claude Fable 5	0K / 18.8 GB	1088	115
Ornith 1.0 9B	0K / 18.8 GB	942147	549
Qwythos 9B Claude Mythos 5 1M	0K / 18.8 GB	37427	906
Negentropy Claude Opus 4.7 9B	0K / 18.8 GB	63	26
Qwen3.8 9B Distill	0K / 19.3 GB	5839	148
WeMM Embedding 9B	0K / 18.8 GB	2618	105

Note: green Score (e.g. "73.2") means that the model is better than WootzappLab/fara-9b-baseline-eval.