Model overview
Jun 12 Update: You can now run DiffusionGemma in Unsloth Studio. See our Guide . You can also fine-tune DiffusionGemma in Unsloth . Recommended inference settings are automatically set. Example of DiffusionGemma (4-bit GGUF) running in Unsloth Studio with executable code: These GGUFs run with the DiffusionGemma build of `llama.cpp` (the DiffusionGemma PR ggml-org/llama.cpp#24423). DiffusionGemma is a block-diffusion architecture, so it needs that branch plus the dedicated `llama-diffusion-cli` runner - the standard `llama-cli` / `llama-server` cannot generate from it yet. `-n` / `--n-predict` is the only length knob you need: it auto-derives the diffusion block count and grows the batch/context to fit. On a single GPU the prompt prefix KV cache turns on automatically.
Key features
特点摘要待依据来源补齐，不凭模型名称推断能力。
Limitations & considerations
Sources are insufficient to establish specific limitations. Verify task performance, latency, data policies, licensing and version lifecycle.
Source prices & cost analysis
Prices vary by channel, region and configuration. Channel quotes are listed independently and are not treated as a single official provider price.
| Source / channel | Input | Output | Billing unit | Collected at |
|---|---|---|---|---|
| No verified prices yet. Check the source channel. | ||||
Estimate monthly base token costs
Estimates exclude cache discounts, tiered pricing, multimodal surcharges, web search, taxes and additional reasoning output.
Public benchmarks & run configuration
暂无已采集的可核验公开评分。模型未上榜不代表能力较低。
View full indexed rankings →Frequently asked questions
Do open weights permit free commercial use?
Not necessarily. Check the version license, commercial conditions and usage policies. Self-hosting incurs compute and maintenance costs.
Are these real-time billing prices?
These are timestamped source snapshots, not live billing prices. Check the channel for current versions, regions, discounts and billing methods.
Sources & traceability
许可证：apache-2.0。模型介绍与第三方评测均以原来源的具体版本和方法为准。