Model overview
`hkust-nlp/drkernel-8b` is a Qwen3-8B-based model specialized for GPU kernel generation and optimization (especially Triton) in the DR.Kernel framework. It is trained for iterative optimization with execution feedback from KernelGYM, rather than single-shot code generation only. 1. Cold-start SFT - Dataset: `hkust-nlp/drkernel-coldstart-8k` - Multi-turn trajectory warm-up for kernel generation/refinement 2. Multi-turn RL - Train dataset: `hkust-nlp/drkernel-rl-data` - Validation dataset: `hkust-nlp/drkernel-validation-data` (KernelBench Level 2 validation split) - Core methods: TRLOO + MRS + PR + PRS - Execution environment: KernelGYM with compilation/correctness/performance/profiling feedback
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：来源未披露，须进一步核验。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。