Model reference · open weights
GLM-5.3-Flash-DFlash2 is an open-weight language model from incoai, listed in the AxForge catalogue. AxForge can bring it up on EU-owned hardware for you on request — with the licence handled where one is required.
About
GLM-5.3-Flash-DFlash2 Blog | GitHub This repository contains the DFlash 2 draft model for zai-org/GLM-5.3-Flash. 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. Quick Start Serve with SGLang: See the blog post for more details. Evaluation Benchmark numbers for this checkpoint are being re-measured and will be published here once final. License This model is released under CC BY-NC-ND 4.0 for research and evaluation. For commercial licensing, contact contact@inco.ai. Citation If you find DFlash 2 useful, please cite: Please also cite the original DFlash paper:
Summarised from the published model card. Read the full card on the HuggingFace links below.
Specifications
| Maker | incoai |
|---|---|
| Type | Language models |
| Parameters (lead) | 1.2B |
| Context | 1024k tokens |
| Variants | 1 |
| Runs with | transformers |
| Based on | zai-org/GLM-5.3-Flash |
| Released | 2026-08-27 |
| Popularity | 6k downloads / month |
| Likes | 90 |
| Licence | Commercial licence needed |
How it works
Variants
Open weights ship in several sizes and precisions. One page, all the variants — pick the one that fits your GPU. VRAM figures are estimates from model size.
| Variant | Params | Precision | VRAM | Fits 16 GB | Weights |
|---|---|---|---|---|---|
| GLM-5.3-Flash-DFlash2 | 1.2B | BF16 | ~2.7 GB | ✓ | Weights ↗ |
Using it via the API
Once AxForge deploys glm-5-3-flash-dflash2 for you, it answers on the OpenAI-compatible API — the same base URL and keys as every other model. (glm-5-3-flash-dflash2 below is illustrative; you get the exact model name on deployment.)
$ curl -sS https://api.axforge.ai/v1/chat/completions \
-H "Authorization: Bearer $AXFORGE_API_KEY" \
-H "Content-Type: application/json" \
-d '{"model":"glm-5-3-flash-dflash2","messages":[{"role":"user","content":"Hello"}]}'
Details
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Licence
The weights are open but cc-by-nc-nd-4.0 needs a commercial agreement for business use. AxForge can arrange that licence and host the model for you — you pay AxForge, we settle with the model’s maker. Ask us for a quote. Read the licence ↗