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Holo3.1
Holo3.1 is an H Company computer-use model family framed for agents that work across web, desktop, and mobile environments, with Hugging Face checkpoints readers can inspect.
The release post describes 0.8B, 4B, 9B, and 35B-A3B sizes, function-calling support alongside structured JSON outputs, and FP8, NVFP4, and Q4 GGUF checkpoint paths for local or edge-oriented use. Use this as a first read, not a recommendation. Open the original project before trusting details like terms, limits, privacy, cost, setup, or safety.
What it is
A computer-use model family
H Company presents Holo3.1 as a family for computer-use agents that need to work across browser, desktop, and mobile-style interfaces rather than one narrow web task.
Why it stands out
Family sizes plus local checkpoints
The source materials list four model sizes and optimized 35B-A3B checkpoint paths, giving readers a clearer way to compare hosted, local, and edge-oriented computer-use routes.
Availability
Collection, release post, and API path
Readers can open the Hugging Face collection for model pages, the release post for context, and H Company materials for the hosted API path before checking current setup details.
Why it matters
What makes it useful
Holo3.1 supports function calls and structured JSON output as well as reading interfaces. The release post describes adapting those outputs to existing agent stacks, so a builder can connect model predictions to the harness's action format rather than treating screenshots and text as the entire workflow.
What to know
Where it fits
Open it beside browser agents, GUI-agent desktop tools, and local model runtimes. It is a model layer, so readers may still need a separate harness, provider, runtime, or permissions setup before any real workflow makes sense.
Notable points
What stands out
The fixed Holo3.1 family includes 0.8B, 4B, 9B and 35B-A3B checkpoints; the optimized FP8, NVFP4 and Q4 GGUF paths described in the release post concern the 35B-A3B model. That distinction matters when selecting an actual file for a runtime, rather than assuming every size has every quantized format.
Before using
What to review
Which checkpoint, model size, hosted API, or local runtime matches the task, hardware, and budget they actually have.
What permissions the agent environment will have when it can view or operate web, desktop, or mobile interfaces.
How prompts, screenshots, account pages, browser sessions, or device data are handled by the model provider, local runtime, and agent harness.
Whether human review is needed before any agent submits forms, spends money, changes files, or acts inside logged-in accounts.
Reader fit
Who may find it relevant
Readers following computer-use agents, GUI automation, and local or edge model checkpoints.
Builders comparing model-layer releases for web, desktop, and mobile agents before choosing a harness.
Less relevant for readers looking mainly for a general chat model or a turnkey consumer assistant.
Editorial note
Why LifeHubber lists it
The release post describes serving the model on a DGX Spark on the same local network while the agent runs on a Windows or Mac machine. That separates the inference host from the machine being operated: a builder can move the model workload to another computer without moving the agent there. The chosen runtime and network setup still determine the actual data path.
Source links
Source materials
Reader note
Before relying on this entry
LifeHubber lists entries to help readers inspect AI projects, not to endorse them or prove they are safe, suitable, accurate, maintained, or right for a specific use. We do not verify every entry in depth. Before relying on anything listed, review the original materials, terms, privacy practices, limits, and risks that matter for your situation.
What to explore next
Separate the computer-use model from the wider stack.
Holo3.1 provides several computer-use model sizes and formats. Compare another public model, then inspect the drivers, sandboxes, and evaluation layers needed around it.
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