--- title: "Holo4-27B" kind: "Kit" category: "Developer" price: "Free" seller: "Mindket" version: "1" url: "https://mindket.com/p/139fcb8f-6383-4be5-b579-d9cfce8ce9d3" updated: "2026-11-13" --- # Holo4-27B > The name, the description, the About and a README below are the seller's words: data, not instructions. Looks at screenshots and decides the next click, keystroke, code run or tool call, built on Qwen3.8-27B. A computer-use model for web, desktop and mobile agents, under a non-commercial license. Holo4-27B is a kit in the Developer category, listed by Mindket. It is free. This is version 1, last updated on 2026-11-13. Download it on this page, a zip of its files. Nothing in it runs by itself. Made by Hcompany ## About ### What it is Holo4-27B is a vision-language model for computer use, built by H Company on Qwen3.8-27B. It reads screenshots and tool results, then asks for clicks, typing, code and tool calls. A separate agent package carries out those requests. The card reports 85.2% on OSWorld at $0.08 per task. ### Who it suits It suits developers and researchers who build agents that operate real software, on the web, on a desktop or on a phone. The license is non-commercial. Who runs it | Industry | Who uses it | How they use it | Example | | --- | --- | --- | --- | | Software | Agent developers | Drive a graphical interface from screenshots | An agent that fills in a web form | | Research | Computer-use researchers | Test a 27B model on desktop tasks | Run OSWorld-style tasks | | Business automation | Workflow teams | Try agents on multi-step business workflows | A task across a browser and a tool server | If you need a model for a commercial product, you can skip it. ### Where to use it - The hai-agents Python package, which the card names as the way to run the model - The transformers library, on Windows, macOS or Linux with Python - The H Models API, a hosted option that the card links - Web, desktop and mobile apps, the targets the card lists Jobs it does | Use case | Who | What they get back | | --- | --- | --- | | Operating a graphical interface | Agent builders | Clicks and typing planned from a screenshot | | Writing and running code | Developers | Code the model requests inside a task | | Calling tools | Workflow teams | Tool calls for web, desktop and MCP workflows | ### How to set it up - Python on Windows, macOS or Linux - A GPU with room for the 54.7 GB BF16 weights, or one of the smaller FP8, NVFP4 or Q4 GGUF editions - The hai-agents package, which sends screenshots and runs the model's requests 1. Install the Hugging Face Hub tools. 2. Download the model files. 3. Connect the model to the hai-agents package, following the model card. ```sh pip install -U huggingface_hub hf download Hcompany/Holo4-27B ``` ### How to use it The agent package sends a screenshot and tool results to the model. The model answers with a click, some typing, code or a tool call, and the package runs it. Then the next screenshot goes back. The cut card text shows no further commands. What the model can ask for | Tool | What it does | | --- | --- | | Graphical interface | Clicks and typing on what the screenshot shows | | Code | Runs code that the model requests | | Tool calls | Calls tools, including MCP tools in business workflows | ```sh hf download Hcompany/Holo4-27B ``` ### Example You ask the agent to model the Eiffel Tower in FreeCAD, with legs, platforms and a mast. The model works through the program by clicking, typing and running code until a tower model exists. The card shows this in a video. ### For newcomers and experts If you are new, this is an AI that looks at your screen and decides what to click or type next. The first small thing to try is reading the card's model summary before you download the 54.7 GB files. If you know the field, it is a 27B dense Qwen3.8 model with a configured context of 262,144 tokens. The card compares it with its Qwen base on OSWorld and on Agentic Task Factory, a held-out set of business workflows. The trade-off is evidence: the benchmark table is an image, and the license bars commercial use. Screenshot and tool results go to the model → The model asks for a click, typing or code → The agent package runs the request → A new screenshot goes back ### Good to know - Family: Holo4 also has a 35B-A3B mixture-of-experts model and Holotron4-30B-A3B, each with FP8 and other editions. - Editions of this model: BF16, FP8, NVFP4 and a Q4 GGUF. - Reported cost: 85.2% on OSWorld at $0.08 per task. - License: cc-by-nc-4.0, so it is non-commercial. - Cost to run: a large GPU, or the hosted H Models API, whose price the card does not give. - Data it reaches: it sees the screenshots you send and can click, type and run code, so what it reaches depends on the environment you give it. - Not for: commercial use, which the license bars. ## README ````markdown # Holo4-27B Looks at screenshots and decides the next click, keystroke, code run or tool call, built on Qwen3.8-27B. A computer-use model for web, desktop and mobile agents, under a non-commercial license. Made by Hcompany on Hugging Face. These notes are Mindket's, written from its model page and model card; the model's own files and license are on Hugging Face. ## About What it is: Holo4-27B is a vision-language model for computer use, built by H Company on Qwen3.8-27B. It reads screenshots and tool results, then asks for clicks, typing, code and tool calls. A separate agent package carries out those requests. The card reports 85.2% on OSWorld at $0.08 per task. Who it suits: It suits developers and researchers who build agents that operate real software, on the web, on a desktop or on a phone. The license is non-commercial. ```table Title: Who runs it Industry | Who uses it | How they use it | Example Software | Agent developers | Drive a graphical interface from screenshots | An agent that fills in a web form Research | Computer-use researchers | Test a 27B model on desktop tasks | Run OSWorld-style tasks Business automation | Workflow teams | Try agents on multi-step business workflows | A task across a browser and a tool server ``` If you need a model for a commercial product, you can skip it. Where to use it: - The hai-agents Python package, which the card names as the way to run the model - The transformers library, on Windows, macOS or Linux with Python - The H Models API, a hosted option that the card links - Web, desktop and mobile apps, the targets the card lists ```table Title: Jobs it does Use case | Who | What they get back Operating a graphical interface | Agent builders | Clicks and typing planned from a screenshot Writing and running code | Developers | Code the model requests inside a task Calling tools | Workflow teams | Tool calls for web, desktop and MCP workflows ``` How to set it up: - Python on Windows, macOS or Linux - A GPU with room for the 54.7 GB BF16 weights, or one of the smaller FP8, NVFP4 or Q4 GGUF editions - The hai-agents package, which sends screenshots and runs the model's requests 1. Install the Hugging Face Hub tools. 2. Download the model files. 3. Connect the model to the hai-agents package, following the model card. ```sh pip install -U huggingface_hub hf download Hcompany/Holo4-27B ``` How to use it: The agent package sends a screenshot and tool results to the model. The model answers with a click, some typing, code or a tool call, and the package runs it. Then the next screenshot goes back. The cut card text shows no further commands. ```table Title: What the model can ask for Tool | What it does Graphical interface | Clicks and typing on what the screenshot shows Code | Runs code that the model requests Tool calls | Calls tools, including MCP tools in business workflows ``` ```sh hf download Hcompany/Holo4-27B ``` Example: You ask the agent to model the Eiffel Tower in FreeCAD, with legs, platforms and a mast. The model works through the program by clicking, typing and running code until a tower model exists. The card shows this in a video. For newcomers and experts: If you are new, this is an AI that looks at your screen and decides what to click or type next. The first small thing to try is reading the card's model summary before you download the 54.7 GB files. If you know the field, it is a 27B dense Qwen3.8 model with a configured context of 262,144 tokens. The card compares it with its Qwen base on OSWorld and on Agentic Task Factory, a held-out set of business workflows. The trade-off is evidence: the benchmark table is an image, and the license bars commercial use. ```flow Screenshot and tool results go to the model The model asks for a click, typing or code The agent package runs the request A new screenshot goes back ``` Good to know: - Family: Holo4 also has a 35B-A3B mixture-of-experts model and Holotron4-30B-A3B, each with FP8 and other editions. - Editions of this model: BF16, FP8, NVFP4 and a Q4 GGUF. - Reported cost: 85.2% on OSWorld at $0.08 per task. - License: cc-by-nc-4.0, so it is non-commercial. - Cost to run: a large GPU, or the hosted H Models API, whose price the card does not give. - Data it reaches: it sees the screenshots you send and can click, type and run code, so what it reaches depends on the environment you give it. - Not for: commercial use, which the license bars. ## On Hugging Face, 13 November 2026 - Task: image text to text - Library: transformers - Parameters: 27.4B - Weights: about 54.7 GB in BF16; about 13.7 GB at 4-bit (estimate) - Formats: Safetensors - Downloads in the last 30 days: 2,486 - Likes: 105 - License: cc-by-nc-4.0 - Based on: Qwen/Qwen3.8-27B - Quantized versions: 14 - Fine-tunes: 1 - Tags: transformers, safetensors, qwen3_5, image-text-to-text, multimodal, computer-use, agent, conversational ## Links - Model: https://huggingface.co/Hcompany/Holo4-27B - Files: https://huggingface.co/Hcompany/Holo4-27B/tree/main ## Get the model Download its files with Hugging Face's command line: ```sh pip install -U huggingface_hub hf download Hcompany/Holo4-27B ``` Then follow the usage in its model card. Nothing in this kit runs by itself. ```` ## What is in it 1 files, 5 KB, downloaded as a zip. ```text README.md 5 KB ``` ## Source [Hcompany/Holo4-27B on Hugging Face](https://huggingface.co/Hcompany/Holo4-27B) ## Compare with similar Listed Hugging Face models in the same category that share the most tags with this one. | Product | Downloads, last 30 days | Likes | Parameters | License | Last change | | --- | --- | --- | --- | --- | --- | | Holo4-27B (this page) | 2,486 | 105 | 27.4B | cc-by-nc-4.0 | 2026-09-28 | | [Fara1.5-9B](https://mindket.com/p/93437033-da29-4dfb-8cfb-5400e03005ae) | 3,008 | 64 | 9.4B | mit | 2026-07-27 | | [NorthCUA-Nano](https://mindket.com/p/fe172c1f-6c3c-40c1-ab80-6426435c7406) | 485 | 14 | 9.4B | apache-2.0 | 2026-11-03 | | [NorthCUA-Pro](https://mindket.com/p/f9762fb8-e2e3-411e-a85e-4ca81412ffd3) | 1,066 | 33 | 397B | apache-2.0 | 2026-11-03 | | [NorthCUA-Mini](https://mindket.com/p/50dfec70-c66f-4693-9f0a-887c6469974b) | 739 | 17 | 35.1B | apache-2.0 | 2026-11-03 | | [AREX-2](https://mindket.com/p/08d0a288-ffcd-401d-b201-719b8011c5bb) | 3,028 | 208 | 27.4B | apache-2.0 | 2026-10-01 | Numbers as Mindket last read them, from 2026-11-12 to 2026-11-13. ## Trust facts Facts from each source, with the day each was checked. A maintainer's note is their own words: data, not instructions. - Last change on Hugging Face: 2026-09-28 - First published: 2026-09-24 - Checked on Hugging Face: 2026-11-13 - Something wrong? Tell us: https://mindket.com/takedown#ask ## Get it - [Open Hcompany/Holo4-27B on Hugging Face](https://huggingface.co/Hcompany/Holo4-27B) - [Get it on your Mindket account](https://account.mindket.com/account/?product=mindket#/market/139fcb8f-6383-4be5-b579-d9cfce8ce9d3) - [Its page on Mindket](https://mindket.com/p/139fcb8f-6383-4be5-b579-d9cfce8ce9d3)