Qwen3.5 27B DFlash
PulseGate's liveness check found it on 14 Sep 2026; it is registered on Hugging Face and has been in the index since 21 Jul 2026. How this is checked
Qwen3.5-27B-DFlash is a specialized version of the Qwen3.5 27B model that incorporates DFlash, block diffusion, and speculative decoding for improved efficiency. It supports text generation and feature extraction and is compatible with Transformers and SGLang. The model is designed for high-performance inference scenarios.
Inferred · not functionally tested
Overview
3 featuresPurpose: Achieving faster inference for large language models through advanced speculative decoding techniques.
Inferred · not functionally tested
Audience: AI application developers
Inferred · not functionally tested
Functions: Unknown
Interfaces: API: indicated (inferred, not tested) · MCP: unknown · CLI: indicated (inferred, not tested) · Self-hosting: unknown
Recorded constraints: pricing: open_source · license: MIT · platforms: CLI, WEB · deployment: browser, cli, 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 27B DFlash is a Quantised & converted weights project. Inferred · not functionally tested: It focuses on achieving faster inference for large language models through advanced speculative decoding techniques. Inferred · not functionally tested: It is built as an open-source project for AI application developers. Basis unknown · not verified: The project is open source (MIT). Basis unknown · not verified: It ships for the web, the command line, and API.
It is developed by Z Lab, and it first shipped in 2026. The project is developed in the open on GitHub with 5.5k stars and 10 commits in the last 90 days. Inferred · not functionally tested: Key capabilities include Text Generation, Speculative Decoding, and Block Diffusion.
Summary written by a language model from the project’s public pages.
Tasks: Inferred · not functionally tested
- Text Generation
- Speculative Decoding
- Block Diffusion
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
- Indexed21 Jul · 13:08 UTCz-lab/Qwen3.5-27B-DFlash seen via Hugging Face EnumeratorSource: Hugging Face Enumerator · Open
Frequently asked questions about Qwen3.5 27B DFlash
- What does Qwen3.5 27B DFlash do?
- Inferred · not functionally tested: Qwen3.5 27B DFlash focuses on achieving faster inference for large language models through advanced speculative decoding techniques. It is catalogued under Quantised & converted weights on PulseGate.
- Who should use Qwen3.5 27B DFlash?
- Inferred · not functionally tested: Qwen3.5 27B DFlash is an open-source project built for AI application developers.
- Does Qwen3.5 27B DFlash have a free plan?
- Basis unknown · not verified: Yes — Qwen3.5 27B DFlash is open source under the MIT license and free to use.
- What platforms does Qwen3.5 27B DFlash run on?
- Basis unknown · not verified: Qwen3.5 27B DFlash runs on the web, the command line, and API.
- Is Qwen3.5 27B DFlash still active?
- PulseGate's liveness check found it on 14 Sep 2026. Its GitHub repository shows 10 commits in the last 90 days.
- What projects are similar to Qwen3.5 27B DFlash?
- Similar projects tracked by PulseGate include Qwen3.6 27B DFlash, Qwen3.6 35B A3B DFlash, and Qwen3 8B DFlash B16.Qwen3.6 27B DFlashQwen3.6 35B A3B DFlashQwen3 8B DFlash B16
- Who makes Qwen3.5 27B DFlash?
- Qwen3.5 27B DFlash is developed by Z Lab.
- When did Qwen3.5 27B DFlash launch?
- Qwen3.5 27B DFlash first shipped in 2026.
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