Qwen3.8 27B DFlash2
PulseGate's liveness check found it on 9 Oct 2026; it is registered on Hugging Face and has been in the index since 3 Sep 2026. How this is checked
Qwen3.8-27B-DFlash2-GGUF is a Hugging Face model repository containing quantized GGUF weights for local inference. It is intended for developers and researchers running compatible language-model runtimes on their own hardware.
Inferred · not functionally tested
Overview
5 featuresPurpose: Running a quantized language model locally without relying on hosted inference.
Inferred · not functionally tested
Audience: developers and AI researchers
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: MIT · platforms: CLI · deployment: cli, self_hosted
Constraint provenance is unknown; confirm requirements with the publisher.
Record sources: huggingface.co. These links do not verify the individual claims.
In the Quantised & converted weights space, Qwen3.8 27B DFlash2 takes a focused approach. Inferred · not functionally tested: It focuses on running a quantized language model locally without relying on hosted inference. Inferred · not functionally tested: It is built as an open-source project for developers and AI researchers. Basis unknown · not verified: The project is open source (MIT). Basis unknown · not verified: It ships for the command line, and it can be self-hosted.
Behind Qwen3.8 27B DFlash2 is incoai, and it first shipped in 2026. The project is developed in the open on GitHub with 6k stars and 10 commits in the last 90 days. It competes in a saturated segment with 25 similar projects in PulseGate's index. Inferred · not functionally tested: Among its 5 catalogued features are quantized weights, GGUF format, and local inference.
Summary written by a language model from the project’s public pages.
Tasks: Inferred · not functionally tested
- Quantized weights
- GGUF format
- Local inference
- Vision support
- Chat template
Topics: Inferred · not functionally tested
Built with & integrations
- AWS
- x-amz-cf-id header · x-amz-cf-pop header · via header
- local_oss
- bollama in the HTML · bllama in the HTML · bvllm in the HTML
Trust & compliance
Indexing history
1What PulseGate has recorded for this listing
- Indexed3 Sep · 12:37 UTCincoai/Qwen3.8-27B-DFlash2-GGUF seen via Hugging Face EnumeratorSource: Hugging Face Enumerator · Open
Frequently asked questions about Qwen3.8 27B DFlash2
- What is Qwen3.8 27B DFlash2?
- Inferred · not functionally tested: Qwen3.8 27B DFlash2 focuses on running a quantized language model locally without relying on hosted inference. It is catalogued under Quantised & converted weights on PulseGate.
- Who is Qwen3.8 27B DFlash2 for?
- Inferred · not functionally tested: Qwen3.8 27B DFlash2 is an open-source project built for developers and AI researchers.
- Does Qwen3.8 27B DFlash2 have a free plan?
- Basis unknown · not verified: Yes — Qwen3.8 27B DFlash2 is open source under the MIT license and free to use.
- What platforms does Qwen3.8 27B DFlash2 run on?
- Basis unknown · not verified: Qwen3.8 27B DFlash2 runs on the command line. It can also be self-hosted.
- Is Qwen3.8 27B DFlash2 still active?
- PulseGate's liveness check found it on 9 Oct 2026. Its GitHub repository shows 10 commits in the last 90 days.
- What projects are similar to Qwen3.8 27B DFlash2?
- Similar projects tracked by PulseGate include Qwen3.8 27B DFlash2, Qwen3.8 27B DFlash2, and Qwen3.8 27B DFlash2.Qwen3.8 27B DFlash2Qwen3.8 27B DFlash2Qwen3.8 27B DFlash2
- Who makes Qwen3.8 27B DFlash2?
- Qwen3.8 27B DFlash2 is developed by incoai.
- How long has Qwen3.8 27B DFlash2 been around?
- Qwen3.8 27B DFlash2 first shipped in 2026.
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