incoai/Qwen3.8-Flash-Next-DFlash2
text-generation model by incoai
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Model card & documentation
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Blog | GitHub This repository contains the DFlash 2 draft model for Qwen/Qwen3.8-Flash-Next. It is not a standalone language model: it runs inside a speculative decoding server and drafts tokens for the target model to verify. DFlash 2 is a block-diffusion drafter for speculative decoding. It predicts a whole block of tokens in a single pass and keeps the top candidates at every position. A lightweight selector then traces one coherent path through them. Two-tap dynamic convolutions in the backbone keep the draft from decaying toward the end of the block. Decoding is lossless: greedy output matches the target model exactly, and sampling preserves its distribution. Serve with SGLang. Flash-Next needs a small target-feature capture patch, included in this repository and validated at TP1,…
Read the full model card ↗ · Preview checked 2026-10-27T22:11:47.650Z
Inside the original model card — Document outline
- Qwen3.8-Flash-Next-DFlash2
- Quick Start
- Evaluation
- Acceptance Length
- Throughput
- Concurrency 1
- Concurrency 8
- Concurrency 32
- Citation
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Documentation belongs to its respective authors. Reported project/model license: apache-2.0. A listing is not a grant of reuse or training rights. Confirm the document’s own terms at the source.
Model overview
incoai/Qwen3.8-Flash-Next-DFlash2 is a text-generation model repository published by incoai on Hugging Face. The source reports the transformers library.
This page summarizes Hub metadata. For intended use, training data, evaluation results and limitations, consult the original model card.
Model facts
- Task
- text-generation
- Library
- transformers
- Recent downloads (30 days)
- 3,516
- Cumulative likes
- 65
- Hugging Face trending score
- 62
- Reported safetensors parameters
- 603,065,600
- Architecture
- DFlash2DraftModel
- License
- apache-2.0
- Access
- Not gated by Hugging Face
- Created
- 2026-10-19T07:58:34.000Z
- Last modified
- 2026-10-19T08:37:03.000Z
Compatibility and lineage
Language coverage was not reported.
Reported base models: Qwen/Qwen3.8-Flash-Next
Parameter count is not a RAM/VRAM requirement. Check precision, quantization, context length and runtime compatibility in the model card; no hardware or API-cost claim is inferred here.
Use and evaluate
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Source and freshness
Source: Hugging Face Hub. Metadata observed 2026-10-26T06:46:02.726Z. Daily imports are snapshots, not real-time monitoring.
Popularity and source listings do not establish security, suitability, licensing rights or benchmark performance.