GitLab

dpsk_v32的mtp层的dense加载适配

See merge request dcutoolkit/deeplearing/vllm!479

feat:修复dsa的mqa接口兼容glm5

See merge request dcutoolkit/deeplearing/vllm!478

Fix：修复调用Triton MoE gemm时缺失的参数，对齐接口

See merge request dcutoolkit/deeplearing/vllm!476

# Conflicts:
#   vllm/model_executor/layers/fused_moe/fused_moe.py

feat: support shared expert fusion.

See merge request dcutoolkit/deeplearing/vllm!469

Fix：Extend MAX_VPT from 32 to 256 to accommodate large-scale MoE models (e.g., GLM-5-quantized model).

适配在bmz上的mla的kvcache_e5m2和e4m3量化的支持

See merge request dcutoolkit/deeplearing/vllm!472

clean code for Deepseek V2.

See merge request dcutoolkit/deeplearing/vllm!471

优化015 fp8 kvscale

See merge request dcutoolkit/deeplearing/vllm!473

perf:Deepseek v2模型增加rmsQuant和siluMulQuant融合

See merge request dcutoolkit/deeplearing/vllm!468

support qwen3-asr

See merge request dcutoolkit/deeplearing/vllm!466

[perf]glm4_moe模型适配rmsquant和silu_quant融合算子

See merge request dcutoolkit/deeplearing/vllm!467

[perf]添加Module支持split qkv+rmsnorm+rope+kvcache融合算子，GLM4_MOE完成适配

See merge request dcutoolkit/deeplearing/vllm!465

修复dsa的workspace的bug，以及添加环境变量关闭DSAVLLM_DISABLE_DSA=1

See merge request dcutoolkit/deeplearing/vllm!463

修复channel-int8 的block_shape读取bug

See merge request dcutoolkit/deeplearing/vllm!462

feat:fix dsa

See merge request dcutoolkit/deeplearing/vllm!457

解决custom allreduce在K100AI上新模型报错问题

See merge request dcutoolkit/deeplearing/vllm!459

[perf]合入lightop topp_topk 融合算子

See merge request dcutoolkit/deeplearing/vllm!456

修复awq-marlin的bug

See merge request dcutoolkit/deeplearing/vllm!454