Robuta

https://github.com/vllm-project/vllm GitHub - vllm-project/vllm: A high-throughput and memory-efficient inference and serving engine for... A high-throughput and memory-efficient inference and serving engine for LLMs - vllm-project/vllm https://vllm.ai/ vLLM vLLM is a high-throughput and memory-efficient inference and serving engine for Large Language Models (LLMs). Deploy AI models faster with state-of-the-art... vllm https://docs.vllm.ai/en/latest/features/batch_invariance/ Batch Invariance - vLLM batch invariancevllm https://docs.vllm.ai/en/latest/api/vllm/v1/engine/logprobs/ logprobs - vLLM logprobsvllm https://docs.vllm.ai/en/latest/api/vllm/renderers/mistral/ mistral - vLLM mistralvllm https://docs.vllm.ai/en/latest/examples/features/reset_kv/ Reset Kv - vLLM reset kvvllm https://docs.vllm.ai/en/stable/api/vllm/model_executor/layers/quantization/qutlass_utils/ qutlass_utils - vLLM utilsvllm https://docs.vllm.ai/en/latest/api/vllm/v1/engine/core_client/ core_client - vLLM coreclientvllm https://docs.vllm.ai/en/latest/features/quantization/inc/ Intel Quantization Support - vLLM intel quantization supportvllm https://vllm.ai/releases Previous vLLM Releases | vLLM Browse all vLLM releases. Find installation commands for any version and access release notes. previousvllmreleases https://docs.vllm.ai/en/v0.9.1/serving/openai_compatible_server.html OpenAI-Compatible Server - vLLM openaicompatibleservervllm https://docs.vllm.ai/en/latest/api/vllm/v1/attention/backends/linear_attn/ linear_attn - vLLM linearattnvllm https://docs.vllm.ai/en/latest/api/vllm/entrypoints/openai/realtime/connection/ connection - vLLM connectionvllm https://docs.vllm.ai/en/v0.9.1/training/rlhf.html Reinforcement Learning from Human Feedback - vLLM reinforcement learninghuman feedbackvllm https://docs.vllm.ai/en/latest/api/vllm/model_executor/layers/mamba/ops/ssd_chunk_state/ ssd_chunk_state - vLLM ssdchunkstatevllm https://docs.vllm.ai/en/latest/community/meetups/ Meetups - vLLM meetupsvllm https://docs.vllm.ai/en/latest/api/vllm/model_executor/models/glm_ocr/ glm_ocr - vLLM glmocrvllm https://docs.vllm.ai/en/latest/api/vllm/v1/worker/gpu/model_states/whisper/ whisper - vLLM whispervllm https://docs.vllm.ai/en/stable/api/vllm/entrypoints/openai/responses/ responses - vLLM responsesvllm https://ingero.io/11-second-time-to-first-token-healthy-vllm-server/ 11-Second TTFT on Healthy vLLM: Tracing Latency Spikes Apr 21, 2026 - We traced vLLM latency spikes causing 11-second time to first token despite healthy endpoints, using eBPF kernel tracing on GPU scheduling. secondhealthyvllmtracinglatency https://docs.vllm.ai/en/latest/design/p2p_nccl_connector/ P2P NCCL Connector - vLLM ncclconnectorvllm https://docs.vllm.ai/en/latest/api/vllm/model_executor/layers/fla/ops/chunk_o/ chunk_o - vLLM chunkvllm https://docs.vllm.ai/en/latest/api/vllm/entrypoints/pooling/base/protocol/ protocol - vLLM protocolvllm https://docs.vllm.ai/en/latest/cli/serve/?h=kv+events+config vllm serve - vLLM vllmserve https://docs.vllm.ai/en/latest/api/vllm/lora/worker_manager/ worker_manager - vLLM workermanagervllm https://docs.vllm.ai/en/latest/api/vllm/model_executor/models/nemotron_nas/ nemotron_nas - vLLM nemotronnasvllm https://docs.vllm.ai/en/latest/api/vllm/v1/attention/backends/mla/xpu_mla_sparse/ xpu_mla_sparse - vLLM xpumlasparsevllm https://docs.vllm.ai/en/latest/api/vllm/entrypoints/openai/parser/responses_parser/ responses_parser - vLLM responsesparservllm https://docs.vllm.ai/en/latest/api/vllm/model_executor/kernels/linear/scaled_mm/pytorch/ pytorch - vLLM pytorchvllm https://docs.vllm.ai/en/latest/api/vllm/v1/kv_offload/cpu/gpu_worker/ gpu_worker - vLLM gpuworkervllm https://docs.vllm.ai/en/latest/api/vllm/model_executor/models/transformers/base/ base - vLLM basevllm https://cellularstockpile.com/amd-rivals-nvidia-in-ai-mi300x-doubles-speed-in-vllm-and-outperforms-h100-by-30-in-tensorrt-llm/ AMD Rivals NVIDIA in AI: MI300X Doubles Speed in vLLM and Outperforms H100 by 30% in TensorRT-LLM |... https://developersdigest.tech/tools/vllm vLLM - Review & Setup Guide - Developers Digest High-throughput inference server for LLMs. PagedAttention memory management. The go-to for serious local or self-hosted serving. Full review, videos, and setup... setup guidevllmreviewdevelopersdigest https://docs.vllm.ai/en/latest/api/vllm/entrypoints/serve/instrumentator/ instrumentator - vLLM instrumentatorvllm https://docs.vllm.ai/en/stable/api/vllm/scalar_type/ scalar_type - vLLM scalartypevllm https://docs.vllm.ai/en/latest/contributing/dockerfile/dockerfile/ Dockerfile - vLLM dockerfilevllm https://docs.vllm.ai/en/latest/api/vllm/assets/base/ base - vLLM basevllm https://www.analyticsvidhya.com/blog/2024/06/guide-to-vllm-using-gemma-7b-it/ Guide to vLLM using Gemma-7b-it Jun 24, 2024 - Learn how to use vLLM for efficient LLM inference with the Gemma-7b-it model, featuring KV Cache and PagedAttention. guide tovllmusinggemma https://docs.vllm.ai/en/latest/api/vllm/v1/attention/backend/ backend - vLLM backendvllm https://docs.vllm.ai/en/stable/api/vllm/model_executor/layers/fused_moe/experts/trtllm_fp8_moe/ trtllm_fp8_moe - vLLM moevllm https://docs.vllm.ai/en/latest/api/vllm/model_executor/kernels/linear/ linear - vLLM linearvllm https://docs.vllm.ai/en/latest/api/vllm/model_executor/layers/rotary_embedding/ernie45_vl_rope/ ernie45_vl_rope - vLLM vlrope https://docs.vllm.ai/en/latest/api/vllm/v1/worker/gpu/spec_decode/utils/ utils - vLLM utilsvllm https://docs.vllm.ai/en/latest/api/vllm/model_executor/models/bee/ bee - vLLM beevllm https://docs.vllm.ai/en/latest/api/vllm/v1/core/block_pool/ block_pool - vLLM blockpoolvllm https://docs.vllm.ai/en/latest/usage/troubleshooting/ Troubleshooting - vLLM troubleshootingvllm https://docs.vllm.ai/en/latest/api/vllm/entrypoints/pooling/utils/ utils - vLLM utilsvllm https://docs.vllm.ai/en/stable/api/vllm/model_executor/layers/mamba/ops/ssu_dispatch/ ssu_dispatch - vLLM ssudispatchvllm https://docs.vllm.ai/en/stable/api/vllm/model_executor/layers/quantization/compressed_tensors/compressed_tensors_moe/compressed_tensors_moe_w8a8_int8/ compressed_tensors_moe_w8a8_int8 - vLLM compressedtensorsmoevllm https://docs.vllm.ai/en/latest/api/vllm/model_executor/models/phi4mm/ phi4mm - vLLM vllm https://docs.vllm.ai/en/latest/api/vllm/v1/pool/metadata/ metadata - vLLM metadatavllm https://docs.vllm.ai/en/latest/models/hardware_supported_models/xpu/ XPU - Intel® GPUs - vLLM xpugpusvllm https://docs.vllm.ai/en/latest/api/vllm/v1/kv_offload/cpu/policies/base/ base - vLLM basevllm https://docs.vllm.ai/en/latest/api/vllm/tool_parsers/streaming/ streaming - vLLM streamingvllm https://docs.vllm.ai/en/stable/api/vllm/compilation/monitor/ monitor - vLLM monitorvllm https://docs.vllm.ai/en/latest/api/vllm/model_executor/models/opt/ opt - vLLM optvllm https://vllm.ooos.top/api/vllm/tool_parsers/seed_oss_tool_parser/ seed_oss_tool_parser - vLLM seedosstoolparservllm https://docs.vllm.ai/en/latest/features/nixl_connector_usage/ NixlConnector Usage Guide - vLLM nixlconnector usage guidevllm https://docs.vllm.ai/en/latest/api/vllm/logprobs/ logprobs - vLLM logprobsvllm https://docs.vllm.ai/en/latest/api/vllm/tool_parsers/pythonic_tool_parser/ pythonic_tool_parser - vLLM pythonictoolparservllm https://docs.vllm.ai/en/latest/api/vllm/model_executor/layers/quantization/online/moe_base/ moe_base - vLLM moebasevllm https://docs.vllm.ai/en/latest/api/vllm/model_executor/layers/mamba/ops/cpu/causal_conv1d/ causal_conv1d - vLLM causalvllm https://docs.vllm.ai/en/latest/deployment/frameworks/autogen/ AutoGen - vLLM autogenvllm https://docs.vllm.ai/en/latest/api/vllm/model_executor/layers/fused_moe/router/fused_topk_router/ fused_topk_router - vLLM fusedtopkroutervllm https://docs.vllm.ai/en/latest/api/vllm/model_executor/models/llava/ llava - vLLM llavavllm https://docs.vllm.ai/en/latest/api/vllm/v1/sample/sampler/ sampler - vLLM samplervllm https://docs.vllm.ai/en/latest/api/vllm/v1/worker/gpu/structured_outputs/ structured_outputs - vLLM structured outputsvllm https://docs.vllm.ai/en/latest/deployment/frameworks/chatbox/ Chatbox - vLLM chatboxvllm https://docs.vllm.ai/en/latest/api/vllm/entrypoints/openai/parser/ parser - vLLM parservllm https://docs.vllm.ai/en/latest/examples/tool_calling/openai_chat_completion_client_with_tools/ OpenAI Chat Completion Client With Tools - vLLM chat completionopenaiclienttoolsvllm https://docs.vllm.ai/en/latest/api/vllm/scalar_type/ scalar_type - vLLM scalartypevllm https://github.com/defilantech/llmkube GitHub - defilantech/LLMKube: Kubernetes operator for local LLM inference with llama.cpp, vLLM,... Kubernetes operator for local LLM inference with llama.cpp, vLLM, TGI, and mlx-server — multi-GPU NVIDIA + Apple Silicon Metal, autoscaling, air-gapped,... https://docs.vllm.ai/en/latest/api/vllm/model_executor/layers/quantization/base_config/ base_config - vLLM baseconfigvllm https://docs.vllm.ai/en/latest/api/vllm/lora/ops/triton_ops/lora_shrink_op/ lora_shrink_op - vLLM lorashrinkopvllm https://docs.vllm.ai/en/stable/training/trl/ Transformers Reinforcement Learning - vLLM reinforcement learningtransformersvllm https://docs.vllm.ai/en/stable/api/vllm/engine/llm_engine/ llm_engine - vLLM llmengine https://docs.vllm.ai/en/latest/api/vllm/v1/attention/backends/mla/prefill/flash_attn/ flash_attn - vLLM flashattnvllm https://docs.vllm.ai/en/latest/api/vllm/model_executor/layers/fused_moe/router/custom_routing_router/ custom_routing_router - vLLM custom routingroutervllm https://docs.vllm.ai/en/latest/api/vllm/model_executor/models/llama_eagle/ llama_eagle - vLLM llamaeaglevllm https://www.codiste.com/vllm-vs-ollama vLLM vs Ollama: Choosing the Right LLM Framework Compare vLLM vs Ollama for LLM inference. vLLM delivers 2,300 tokens/sec for production APIs while Ollama excels at local deployment and CPU systems. the rightvllmvsollamachoosing https://docs.vllm.ai/en/latest/api/vllm/model_executor/models/arcee/ arcee - vLLM arceevllm https://docs.vllm.ai/en/stable/api/vllm/model_executor/models/exaone4_5_mtp/ exaone4_5_mtp - vLLM mtpvllm https://docs.vllm.ai/en/stable/api/vllm/entrypoints/mcp/tool/ tool - vLLM toolvllm https://docs.vllm.ai/en/latest/api/vllm/model_executor/layers/attention/kv_transfer_utils/ kv_transfer_utils - vLLM kvtransferutilsvllm https://docs.vllm.ai/en/latest/api/vllm/compilation/passes/ passes - vLLM passesvllm https://docs.vllm.ai/en/latest/api/vllm/model_executor/layers/quantization/compressed_tensors/transform/linear/ linear - vLLM linearvllm https://docs.vllm.ai/en/latest/api/vllm/model_executor/layers/fused_moe/prepare_finalize/ prepare_finalize - vLLM preparefinalizevllm https://recipes.vllm.ai/XiaomiMiMo/MiMo-V2.5-Pro XiaomiMiMo/MiMo-V2.5-Pro | vLLM Recipes Xiaomi's flagship MoE reasoning model (1.02T total / 42B active) with hybrid attention, native FP8 weights, and Multi-Token Prediction mimoprovllmrecipes https://docs.vllm.ai/en/stable/api/vllm/model_executor/layers/mamba/mamba_mixer2/ mamba_mixer2 - vLLM mambavllm https://docs.vllm.ai/en/latest/api/vllm/model_executor/layers/rotary_embedding/mrope_interleaved/ mrope_interleaved - vLLM mropevllm https://docs.vllm.ai/en/latest/examples/features/batch_invariance/ Batch Invariance - vLLM batch invariancevllm https://docs.vllm.ai/en/latest/api/vllm/v1/structured_output/backend_types/ backend_types - vLLM backendtypesvllm https://docs.vllm.ai/en/latest/api/vllm/entrypoints/openai/responses/ responses - vLLM responsesvllm https://docs.vllm.ai/en/latest/api/vllm/model_executor/models/deepseek_mtp/ deepseek_mtp - vLLM deepseekmtpvllm https://bobweb.ai/t/vllm/ vLLM Archives - bobweb.ai vllmarchivesai https://docs.vllm.ai/en/latest/api/vllm/v1/worker/gpu/spec_decode/eagle/eagle3_utils/ eagle3_utils - vLLM utilsvllm https://docs.vllm.ai/en/latest/api/vllm/model_executor/layers/fused_moe/modular_kernel/ modular_kernel - vLLM modularkernelvllm https://docs.vllm.ai/en/latest/api/vllm/model_executor/layers/fla/ops/ ops - vLLM opsvllm https://docs.vllm.ai/en/latest/api/vllm/model_executor/layers/fused_moe/experts/ocp_mx_emulation_moe/ ocp_mx_emulation_moe - vLLM ocpmxemulationmoevllm https://docs.vllm.ai/en/latest/api/vllm/v1/core/sched/scheduler/ scheduler - vLLM schedulervllm