| Name | Modified | Size | Downloads / Week |
|---|---|---|---|
| Parent folder | |||
| README.md | 2026-05-21 | 4.4 kB | |
| v0.5.6 source code.tar.gz | 2026-05-21 | 49.8 MB | |
| v0.5.6 source code.zip | 2026-05-21 | 50.2 MB | |
| Totals: 3 Items | 100.0 MB | 0 | |
- 新模型:Qwen3.6-27B、Qwen3.6-27B-FP8、Qwen3.6-35B-A3B、Qwen3.6-35B-A3B-FP8、DeepSeek-V4-Flash-Base(仅实验性)、DeepSeek-V4-Flash-FP8(仅实验性)。
- 选择模型时,所有“Qwen3_5”字样变更为“Qwen3.5“。
- 工具调用请求对可用工具的描述中,“required” 字段不再为必填项。
- 赤兔中内建的大部分 CUDA 算子支持海光平台。
- 集成海光平台的多个新算子。
infer.fuse_shared_experts选项兼容 EP。- 令 DeepSeek-V3.2 等模型中的 indexer cache 也能接受前缀缓存。
- GLM-5/5.1-FP8 兼容
infer.mla_absorb=absorb-without-precomp选项。 - MTP 兼容
infer.schedule_overlap优化。 - (TP×DP)+(ETP×EP) 混合并行。
- 减少 DeepEP + DeepGEMM Prefill 中的 CPU-GPU 同步。
- 面向前缀缓存命中率优化 DP rank 和多 instance 间的请求路由。
- 利用多 kernel 联合 autotune 优化 triton MoE 实现。
- 通过为不同类型的 KV cache 设置不同 page size 优化 DeepSeek-V3.2 及类似模型。
- 优化前缀缓存的查询时间。
- 增加
CHITU_LOG_STACK_TRACE调试用环境变量。 - 向请求返回前缀缓存命中统计信息。
- 内建 profiling 功能支持 PD 分离时 profile P (prefill) instance。
- 清除实时监控中的部分无效信息。
- 修复若干 prefill chunk size 较大时的 int32 越界问题。
- 修复 DeepSeek-V3.2 等模型中 indexer 模块的软 FP8 实现。
- 修复 PD 分离时 Prefill 结点采用 DP 并行时可能导致的死锁问题。
- 修复 scheduler 中状态不一致可能导致的死锁问题。
- 清除 FlashMLA 集成中引入的不必要 padding。
- 修复 Qwen3.5/3.6 开启 PP 时的一处问题。
- 修复 warmup 期间 DeepSeek-V3.2 等模型中 indexer KV cache 占用过大的问题。
- New models: Qwen3.6-27B, Qwen3.6-27B-FP8, Qwen3.6-35B-A3B, Qwen3.6-35B-A3B-FP8, DeepSeek-V4-Flash-Base (experimental only)、DeepSeek-V4-Flash-FP8 (experimental only).
- All "Qwen3_5" in model names for selection are now changed to "Qwen3.5".
- The "required" field for parameters in tool descriptions in tool-calling requests are no longer required.
- Most of the built-in CUDA kernels in Chitu now supports Hygon platforms.
- New integration for multiple new operators on Hygon platforms.
infer.fuse_shared_expertsargument is now compatible with EP.- Indexer cache in DeepSeek-V3.2 and similar models can now be cached by prefix cache.
- GLM-5/5.1-FP8 is now compatible with
infer.mla_absorb=absorb-without-precompargument. - MTP is now compatible with
infer.schedule_overlapoptimization. - (TP×DP)+(ETP×EP) hybrid parallelism.
- Fewer CPU-GPU synchronizations in DeepEP + DeepGEMM prefill steps.
- Optimization on prefix cache hit rate on request routing among DP ranks and instances.
- Optimization on triton MoE implementations via co-auto-tune on multiple kernels.
- Optimization on DeepSeek-V3.2 and similar models via setting different page sizes for different types of KV caches.
- Optimization on prefix cache query time.
- New
CHITU_LOG_STACK_TRACEenvironment variable for debugging. - Add prefix cache hit status to responses.
- The built-in profiling feature now support profiling the P (prefill) instances in PD-disaggregated deployment.
- Less redundant data in monitored metrics.
- Fixed several issues on int32 overflow on large prefill chunk sizes.
- Fixed the soft FP8 implementation on indexer module in DeepSeek-V3.2 and similar models.
- Fixed a dead-lock issue on PD-disaggregation when prefill instances use DP.
- Fixed a dead-lock issue caused by inconsistent states in scheduler.
- Removed some redundant paddings from MLA integration.
- Fixed an issue on Qwen3.5/3.6 models when using PP.
- Fixed unexpected large indexer KV cache size during warming-up in DeepSeek-V3.2 and similar models.
Official Docker images / 官方 docker 镜像:
- 英伟达 / NVIDIA (arch 8.0, 8.9): qingcheng-ai-cn-beijing.cr.volces.com/public/chitu-nvidia_arch_80_89:v0.5.6
- 英伟达 / NVIDIA (arch 9.0): qingcheng-ai-cn-beijing.cr.volces.com/public/chitu-nvidia_arch_90:v0.5.6
- 沐曦 / MetaX: qingcheng-ai-cn-beijing.cr.volces.com/public/chitu-muxi:v0.5.6
- 昇腾 / Ascend (A2): qingcheng-ai-cn-beijing.cr.volces.com/public/chitu-ascend_a2:v0.5.6