Qwen3.8 27B
PulseGate's liveness check found it on 3 Oct 2026; it is registered on Hugging Face and has been in the index since 17 Aug 2026. How this is checked
Qwen3.8-27B-NVFP4 is an open-weight, quantized multimodal language model hosted on Hugging Face. It supports text and visual inputs and can be run locally using Python tooling or Docker, primarily for developers and ML practitioners.
Inferred · not functionally tested
Overview
6 featuresPurpose: Running a quantized multimodal language model locally for text and vision tasks.
Inferred · not functionally tested
Audience: developers and machine learning practitioners
Inferred · not functionally tested
Functions: Unknown
Interfaces: API: unknown · MCP: unknown · CLI: indicated (inferred, not tested) · Self-hosting: indicated (inferred, not tested)
Recorded constraints: pricing: open_source · license: Open Source · platforms: CLI, WEB · deployment: browser, cli, self_hosted
Constraint provenance is unknown; confirm requirements with the publisher.
Record sources: huggingface.co. These links do not verify the individual claims.
Qwen3.8 27B sits in PulseGate's Quantised & converted weights category. Inferred · not functionally tested: It focuses on running a quantized multimodal language model locally for text and vision tasks. Inferred · not functionally tested: Qwen3.8 27B is an open-source project aimed at developers and machine learning practitioners. Basis unknown · not verified: Qwen3.8 27B is open source under the Open Source license. Basis unknown · not verified: It runs on the web and the command line, and it can be self-hosted.
It is developed by Inferact. It competes in a saturated segment with 25 similar projects in PulseGate's index. Inferred · not functionally tested: Key capabilities include text generation, vision input, and video input.
Summary written by a language model from the project’s public pages.
Tasks: Inferred · not functionally tested
- Text generation
- Vision input
- Video input
- Quantized weights
- Chat template
- Docker support
Topics: Inferred · not functionally tested
Built with & integrations
- AWS
- x-amz-cf-id header · x-amz-cf-pop header · via header
- local_oss
- bvllm in the HTML
Trust & compliance
Indexing history
1What PulseGate has recorded for this listing
- Indexed17 Aug · 13:10 UTCInferact/Qwen3.8-27B-NVFP4 seen via Hugging Face EnumeratorSource: Hugging Face Enumerator · Open
Frequently asked questions about Qwen3.8 27B
- What does Qwen3.8 27B do?
- Inferred · not functionally tested: Qwen3.8 27B focuses on running a quantized multimodal language model locally for text and vision tasks. It is catalogued under Quantised & converted weights on PulseGate.
- Who is Qwen3.8 27B for?
- Inferred · not functionally tested: Qwen3.8 27B is an open-source project built for developers and machine learning practitioners.
- Does Qwen3.8 27B have a free plan?
- Basis unknown · not verified: Yes — Qwen3.8 27B is open source under the Open Source license and free to use.
- What platforms does Qwen3.8 27B run on?
- Basis unknown · not verified: Qwen3.8 27B runs on the web and the command line. It can also be self-hosted.
- Is Qwen3.8 27B still active?
- PulseGate's liveness check found it on 3 Oct 2026.
- What projects are similar to Qwen3.8 27B?
- Similar projects tracked by PulseGate include Qwen3.8 27B, Qwen3.6 27B, and Qwen3.5 27B.Qwen3.8 27BQwen3.6 27BQwen3.5 27B
- Who makes Qwen3.8 27B?
- Qwen3.8 27B is developed by Inferact.
- Is Qwen3.8 27B open source?
- Basis unknown · not verified: Yes — Qwen3.8 27B is open source under the Open Source license.
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