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View details ↗Qwen3-0.6B-ONNX
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View details ↗Qwen3-0.6B-ONNX-GenAI
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View details ↗Qwen3-1.7B-ONNX-GenAI
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View details ↗SparkMuse-4B-GGUF
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View details ↗Holo-3.1-0.8B
Hcompany**Holo3.1** is our latest family of Vision-Language Models (VLMs) for computer use agents. Building on Holo3, it expands support beyond browser and desktop automation to mobile environments, introduces native function-calling support for seamless integration with agent frameworks, and enables local deployment through optimized quantized checkpoints. The Holo3.1 family spans model sizes from 0.8B to 35B-A3B parameters. Across computer use, UI grounding, mobile automation, and business workflows, Holo3.1 delivers strong performance while improving deployment flexibility and cost efficiency. * **Developed by:** **H Company** * **Model type:** Vision-Language Models for Navigation and Computer Use Agents * **Available models:** Holo3.1-0.8B, Holo3.1-4B, Holo3.1-9B, Holo3.1-35B-A3B * **Base models:** Qwen 3.5 family * **Supported environments:** Web, Desktop, Mobile * **Available quantizations for Holo3.1-35B-A3B:** BF16, FP8, NVFP4, Q4 GGUF * **Blog Post:** hcompany.ai/holo3.1 * **Quickstart:** hub.hcompany.ai/quickstart * **License:** Apache 2.0 License The figure below compares the overall performance and inference cost of the Holo3.1 and Qwen 3.5 families. Overall performance averages computer use, mobile automation, enterprise workflows, and UI grounding benchmarks.
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View details ↗Holo-3.1-35B-A3B
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View details ↗Holo-3.1-35B-A3B-FP8
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View details ↗Holo-3.1-35B-A3B-GGUF
Hcompany**Holo3.1** is our latest family of Vision-Language Models (VLMs) for computer use agents. Building on Holo3, it expands support beyond browser and desktop automation to mobile environments, introduces native function-calling support for seamless integration with agent frameworks, and enables local deployment through optimized quantized checkpoints. The Holo3.1 family spans model sizes from 0.8B to 35B-A3B parameters. Across computer use, UI grounding, mobile automation, and business workflows, Holo3.1 delivers strong performance while improving deployment flexibility and cost efficiency. * **Developed by:** **H Company** * **Model type:** Vision-Language Models for Navigation and Computer Use Agents * **Available models:** Holo3.1-0.8B, Holo3.1-4B, Holo3.1-9B, Holo3.1-35B-A3B * **Base models:** Qwen 3.5 family * **Supported environments:** Web, Desktop, Mobile * **Available quantizations for Holo3.1-35B-A3B:** BF16, FP8, NVFP4, Q4 GGUF * **Blog Post:** hcompany.ai/holo3.1 * **Quickstart:** hub.hcompany.ai/quickstart * **License:** Apache 2.0 License The figure below compares the overall performance and inference cost of the Holo3.1 and Qwen 3.5 families. Overall performance averages computer use, mobile automation, enterprise workflows, and UI grounding benchmarks.
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View details ↗Holo-3.1-35B-A3B-NVFP4
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View details ↗Holo-3.1-4B
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View details ↗Holo1-3B
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View details ↗Holo1.5-7B
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View details ↗Holo2-4B
Hcompany**Holo2** represents the next major step in developing large-scale Vision-Language Models (VLMs) for **multi-domain GUI Agents**. These agents can operate real digital environments specifically web, desktop, and mobile by interpreting interfaces, reasoning over content, and executing actions. Our **Holo2** family emphasizes **navigation and task execution** across diverse real and simulated environments, extending beyond static perception to **multi-step, goal-directed behavior**. It builds upon the strengths of **Holo1.5** in UI localization and screen content understanding, with major improvements in **policy learning**, **action grounding**, and **cross-environment generalization**.
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View details ↗Holo3-35B-A3B
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