Qwen3.5 9B

Purpose: Running a capable AI model locally with lower memory and compute requirements.

Inferred · not functionally tested

Audience: AI developers and machine learning engineers

Inferred · not functionally tested

Functions: Unknown

Interfaces: API: indicated (inferred, not tested) · MCP: unknown · CLI: indicated (inferred, not tested) · Self-hosting: indicated (inferred, not tested)

Recorded constraints: pricing: open_source · license: Apache-2.0 · platforms: CLI, WEB · deployment: browser, cli, self_hosted, api_only

Constraint provenance is unknown; confirm requirements with the publisher.

Record sources: huggingface.co. These links do not verify the individual claims.

Qwen3.5 9B is a Quantised & converted weights project. Inferred · not functionally tested: It focuses on running a capable AI model locally with lower memory and compute requirements. Inferred · not functionally tested: It is built as an open-source project for AI developers and machine learning engineers. Basis unknown · not verified: Qwen3.5 9B is open source under the Apache-2.0 license. Basis unknown · not verified: It runs on the web, the command line, and API, and it can be self-hosted.

Behind Qwen3.5 9B is Hyper-AI, and it first shipped in 2023. The project is developed in the open on GitHub with 35.5k stars and 4.1k commits in the last 90 days. The category is crowded — PulseGate's index counts 25 comparable projects. Inferred · not functionally tested: Among its 5 catalogued features are FP8 quantization, model downloads, and local inference.

Summary written by a language model from the project’s public pages.