vllm-project/vllm
View on GitHub ↗ ★ 96,122 Python
A high-throughput and memory-efficient inference and serving engine for LLMs
67 mentions on Hacker News by 51 people: 16 stories, 51 comments · first 2023-06-25 · latest 2026-09-26
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Easy, fast, and cheap LLM serving for everyonestory by vincent_s · 2023-12-17 · 0 comments
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vllmstory by tosh · 2023-12-15 · 0 comments
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Mixtral Expert Parallelismstory by tosh · 2023-12-15 · 0 comments
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…8x7B: https://mistral.ai/news/mixtral-of-experts/ Official PR into vLLM shows the inference code: https://github.com/vllm-project/vllm/commit/b5f882cc98e2c9c6... New HuggingFace explainer on MoE very nice: https://huggingface.co/blog/moe…
comment by BryanLegend · 2023-12-11 · in Mixtral of experts -
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Official PR Reveals the Inference Code for Mixtral 8x7Bstory by georgehill · 2023-12-11 · 0 comments
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…My model implements the HF chat_templates feature, and I worked on adding support for that to vLLM: https://github.com/vllm-project/vllm/pull/1756 (llama.cpp is talking about adding support for it too) so I could easily swap out my model…
comment by Tostino · 2023-12-02 · in OpenAI delays launch of custom GPT store until early 2024 -
…implement it properly) will work seamlessly with a clone of the OpenAI chat/completions endpoint. https://github.com/vllm-project/vllm/pull/1756 Now that I have that out of the way, back to model training ;).
comment by Tostino · 2023-12-01 · in Are Open-Source Large Language Models Catching Up? -
Nothing special, other than I am running my fork of vLLM which supports HF prompt templates: https://github.com/vllm-project/vllm/pull/1365 Using --tensor-parallel-size 2 since I have 2 GPUs on my machine. Running my llama2 13b finetune…
comment by Tostino · 2023-10-19 · in Optimizing LLM Latency -
…per se, but in practice that’s how it presents. References: https://github.com/InternLM/lmdeploy https://github.com/vllm-project/vllm https://github.com/OpenNMT/CTranslate2 You know what’s missing from all of these and many more like them?…
comment by kkielhofner · 2023-10-07 · in AMD may get across the CUDA moat -
…does this compare to vLLM or exllama? Can it run llama2 30B on one 3090 24G or 70B on two 3090 24G? https://github.com/vllm-project/vllm https://github.com/turboderp/exllama https://github.com/turboderp/exllamav2
comment by aftbit · 2023-09-26 · in Ollama for Linux – Run LLMs on Linux with GPU Acceleration -
source code: https://github.com/vllm-project/vllm
comment by notpublic · 2023-09-14 · in Efficient Memory Management for Large Language Model Serving with PagedAttention -
We're finding that when running Llama-2-7B with vLLM ( https://github.com/vllm-project/vllm ) on an A40 GPU we're getting consistently lower time-to-first-token and lower average token generation time than GPT-3.5, even when processing…
comment by kcorbitt · 2023-09-12 · in Fine-tune your own Llama 2 to replace GPT-3.5/4 -
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Vllm: High-throughput and memory-efficient inference and serving engine for LLMsstory by tosh · 2023-09-10 · 0 comments
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…of reasons. It appears that we'll see TensorRT-LLM integrated in Triton Inference Server directly: https://github.com/vllm-project/vllm/issues/541 How all of this will interact (vllm/lmdeploy backends + Triton + TensorRT-LLM) isn't quite…
comment by kkielhofner · 2023-09-09 · in NVIDIA introduces TensorRT-LLM for accelerating LLM inference on H100/A100 GPUs -
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Ask HN: Are you training and running custom LLMs and how are you doing it?story by kordlessagain · 2023-08-14 · 2 comments
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Vllmstory by kordlessagain · 2023-08-06 · 0 comments
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VLLMstory by sherlockxu · 2023-06-25 · 0 comments