SGLang says it has Day-0 support for IQuest-Q1, an open-source sparse MoE model with 320B total and 15B active parameters for coding and agentic tasks. The post includes a single-node serving command for H200 GPUs in BF16, using tensor parallelism of 8, EAGLE speculative decoding, and the iquest_q1 reasoning and tool-call parsers. The image marks the command as not verified.
SGLang has Day-0 support for IQuest-Q1 from @IQuest_research.
IQuest-Q1 is an open-source sparse MoE model for CLI agents. It's built for coding, software engineering, and long-horizon agentic tasks.
- 320B total params, 15B active per token
- Trained with multi-harness RL and multi-teacher on-policy distillation (MOPD)
Serve it with SGLang today:
Today we're releasing IQuest-Q1 and opening the model weights. 320B total. 15B active. Built for code, software engineering, and complex agentic tasks. Technical report/HuggingFace/GitHub — available now.
Source: SGLang · x.comPublished · added here
