opendatahub-io / vllm-tgis-adapterLinks
vLLM adapter for a TGIS-compatible gRPC server.
β45Updated this week
Alternatives and similar repositories for vllm-tgis-adapter
Users that are interested in vllm-tgis-adapter are comparing it to the libraries listed below
Sorting:
- π· Build compute kernelsβ192Updated this week
- Train, tune, and infer Bamba modelβ137Updated 6 months ago
- Pytorch Distributed native training library for LLMs/VLMs with OOTB Hugging Face supportβ194Updated this week
- A unified library for building, evaluating, and storing speculative decoding algorithms for LLM inference in vLLMβ140Updated this week
- Benchmark suite for LLMs from Fireworks.aiβ84Updated 2 weeks ago
- Lightweight toolkit package to train and fine-tune 1.58bit Language modelsβ100Updated 6 months ago
- DPO, but faster πβ46Updated last year
- Repo hosting codes and materials related to speeding LLMs' inference using token merging.β37Updated 2 months ago
- The source code of our work "Prepacking: A Simple Method for Fast Prefilling and Increased Throughput in Large Language Models" [AISTATS β¦β60Updated last year
- Simple and efficient DeepSeek V3 SFT using pipeline parallel and expert parallel, with both FP8 and BF16 trainingsβ101Updated 4 months ago
- Simple high-throughput inference libraryβ150Updated 6 months ago
- Google TPU optimizations for transformers modelsβ124Updated 10 months ago
- IBM development fork of https://github.com/huggingface/text-generation-inferenceβ62Updated 2 months ago
- vLLM performance dashboardβ38Updated last year
- Nexusflow function call, tool use, and agent benchmarks.β30Updated 11 months ago
- Repository for Sparse Finetuning of LLMs via modified version of the MosaicML llmfoundryβ42Updated last year
- SGLang is fast serving framework for large language models and vision language models.β30Updated 2 weeks ago
- Implementation of the paper: "Leave No Context Behind: Efficient Infinite Context Transformers with Infini-attention" from Google in pyTOβ¦β58Updated last week
- Load compute kernels from the Hubβ348Updated this week
- A high-throughput and memory-efficient inference and serving engine for LLMsβ267Updated last year
- Optimizing Causal LMs through GRPO with weighted reward functions and automated hyperparameter tuning using Optunaβ59Updated last month
- β78Updated 2 weeks ago
- A collection of reproducible inference engine benchmarksβ38Updated 7 months ago
- Hugging Face Inference Toolkit used to serve transformers, sentence-transformers, and diffusers models.β88Updated 3 weeks ago
- [ICLR2025] Breaking Throughput-Latency Trade-off for Long Sequences with Speculative Decodingβ133Updated last year
- KV cache compression for high-throughput LLM inferenceβ145Updated 10 months ago
- Training-free Post-training Efficient Sub-quadratic Complexity Attention. Implemented with OpenAI Triton.β148Updated last month
- β47Updated last year
- Data preparation code for CrystalCoder 7B LLMβ45Updated last year
- OLMost every training recipe you need to perform data interventions with the OLMo family of models.β57Updated this week