repo stringclasses 147
values | number int64 1 172k | title stringlengths 2 476 | body stringlengths 0 5k | url stringlengths 39 70 | state stringclasses 2
values | labels listlengths 0 9 | created_at timestamp[ns, tz=UTC]date 2017-01-18 18:50:08 2026-01-06 07:33:18 | updated_at timestamp[ns, tz=UTC]date 2017-01-18 19:20:07 2026-01-06 08:03:39 | comments int64 0 58 ⌀ | user stringlengths 2 28 |
|---|---|---|---|---|---|---|---|---|---|---|
vllm-project/vllm | 28,564 | [Usage]: Can't get ModernBert models to run in vllm serve | ### Your current environment
I am trying to download and use ModernBertModel with the vllm serve feature.
At first I thought it was an issue with the model so I switched from trying to use BertEmbed with Alibaba-NLP/gte-modernbert-base since it appears in the docs as a model that supports embedding.
Source: https://... | https://github.com/vllm-project/vllm/issues/28564 | open | [
"usage"
] | 2025-11-12T15:51:18Z | 2025-11-12T15:51:18Z | 0 | Logikschleifen |
vllm-project/vllm | 28,527 | 💡 Bounty Platform for vLLM | Hi vLLM team! 👋
I wanted to share **Roxonn** - a decentralized bounty platform for accelerating AI/ML development.
**What is Roxonn?**
✅ Fund GitHub issues with crypto bounties (XDC, USDC, ROXN)
✅ Notify 300+ AI/ML developers
✅ Auto-pay when PRs merge via blockchain
✅ Zero crypto setup needed
**Quick flow:**
1. Reg... | https://github.com/vllm-project/vllm/issues/28527 | closed | [] | 2025-11-12T07:50:33Z | 2025-11-13T12:36:15Z | 0 | dineshroxonn |
huggingface/transformers | 42,154 | 💡 Bounty Platform for Hugging Face Transformers | Hi Hugging Face Transformers team! 👋
I wanted to share **Roxonn** - a decentralized bounty platform for accelerating AI/ML development.
**What is Roxonn?**
✅ Fund GitHub issues with crypto bounties (XDC, USDC, ROXN)
✅ Notify 300+ AI/ML developers
✅ Auto-pay when PRs merge via blockchain
✅ Zero crypto setup needed
*... | https://github.com/huggingface/transformers/issues/42154 | closed | [] | 2025-11-12T07:49:59Z | 2025-11-17T11:40:10Z | 2 | dineshroxonn |
vllm-project/vllm | 28,508 | [Usage]: KVCacheManager Parameter question |
I noticed that the parameter “self.req_to_block_hashes” has been removed from KVCacheManager since version v0.10.0. But this parameter is still preserved in the official documentation. Could you please provide an explanation of this change?
- [Document Description](https://docs.vllm.ai/en/v0.9.2/api/vllm/v1/core/kv... | https://github.com/vllm-project/vllm/issues/28508 | closed | [
"usage"
] | 2025-11-12T03:10:18Z | 2025-11-16T08:33:45Z | 1 | Liziqi-77 |
huggingface/diffusers | 12,638 | How to design network with DiT blocks that are friendly to Tensorrt fp16 conversion? | We had a network that structed as `a convnet pre-encoder -> DiT blocks -> final block for last sampling`, it worked well with torch format and onnx format, but when we tried to convert it into tensorrt fp16 format, the inference will get value overflow. we had seen the data differene [between onnx and trt fp16, wit... | https://github.com/huggingface/diffusers/issues/12638 | open | [] | 2025-11-12T02:23:37Z | 2025-11-12T02:23:37Z | null | JohnHerry |
huggingface/lerobot | 2,428 | how to eval the real world recorded dataset? | can lerobot eval the real world dataset with metric such as mse? I check the eval script and found that now it can only eval the sim env dataset | https://github.com/huggingface/lerobot/issues/2428 | open | [
"question",
"evaluation"
] | 2025-11-12T02:08:44Z | 2025-11-19T16:55:42Z | null | shs822 |
vllm-project/vllm | 28,505 | [Feature]: Is there a plan to introduce the new feature nano-pearl, a new engineering effort in speculative reasoning. | ### 🚀 The feature, motivation and pitch
Nano-pearl can support speculative inference with higher concurrency (larger batch sizes) and is seamlessly compatible with algorithms like Eagle. Is there a plan to introduce it?
github：https://github.com/smart-lty/nano-PEARL
### Alternatives
_No response_
### Additional c... | https://github.com/vllm-project/vllm/issues/28505 | open | [
"feature request"
] | 2025-11-12T01:34:22Z | 2025-11-17T06:14:09Z | 1 | Lexlum |
vllm-project/vllm | 28,498 | [Bug][RL]: Port Conflict | ### Your current environment
- bug report:
```
Hello vLLM team, I'm running into a suspicious ZMQ socket bug with my 2P 4D configuration for DeepSeek-V3 (see below). I thought it is caused by reusing same nodes for many vLLM launches, but now it happened also at a clean node. Seems like a DP bug of sorts. Please find... | https://github.com/vllm-project/vllm/issues/28498 | open | [
"bug",
"help wanted",
"good first issue"
] | 2025-11-11T22:51:35Z | 2025-12-04T07:35:31Z | 13 | robertgshaw2-redhat |
vllm-project/vllm | 28,489 | [Usage]: Online continuous batching | ### Current environment
```
==============================
System Info
==============================
OS : macOS 26.1 (arm64)
GCC version : Could not collect
Clang version : 17.0.0 (clang-1700.4.4.1)
CMake version : Could not collect
Libc... | https://github.com/vllm-project/vllm/issues/28489 | open | [
"usage"
] | 2025-11-11T20:51:58Z | 2025-11-11T20:53:47Z | 0 | GenVr |
huggingface/trl | 4,507 | Can a multimodal model like Gemma be trained in the same way as a text-only model like Qwen, but with the goal of improving only its text capabilities? | As stated in the title, I hope to improve only the text capabilities of Gemma 3, but it doesn’t seem to have worked as expected. The model I used is gemma-3-4b-it, and I conducted the following simple tests:
```python
dataset = Dataset.from_list(
[
{"prompt": "What is 2+2?", "task": "math"},
... | https://github.com/huggingface/trl/issues/4507 | open | [
"🐛 bug",
"⏳ needs more info"
] | 2025-11-11T15:59:51Z | 2025-11-21T05:58:50Z | 0 | Tuziking |
vllm-project/vllm | 28,472 | [Usage]: Will the reasoning_content in the chat template still be applied correctly after switching reasoning_content to reasoning | ### Your current environment
```text
The output of `python collect_env.py`
```
### How would you like to use vllm
Will the message.reasoning_content for (which exists in default chat_template for qwen3-next-thinking qwen3-vl-thinking or other qwen3-thinking series or glm4.5 or kimi-k2-thinking or other models) in t... | https://github.com/vllm-project/vllm/issues/28472 | closed | [
"usage"
] | 2025-11-11T15:04:11Z | 2025-11-13T06:25:29Z | 4 | zhcn000000 |
vllm-project/vllm | 28,456 | [Usage]: benchmark_moe Usage | ### Your current environment
```text
(EngineCore_DP0 pid=7498) INFO 11-10 11:42:48 [shm_broadcast.py:466] No available shared memory broadcast block found in 60 seconds. This typically happens when some processes are hanging or doing some time-consuming work (e.g. compilation).
(APIServer pid=7416) INFO 11-10 11:42:50... | https://github.com/vllm-project/vllm/issues/28456 | open | [
"usage"
] | 2025-11-11T09:22:33Z | 2025-11-21T01:43:41Z | 6 | ekmekovski |
huggingface/lerobot | 2,422 | Running inference on Libero with pi0 | Hello, I am trying to run inference with pi0 but the commands referenced in this issue #683 are outdated I believe. What would the commands be to run inference in Lerobot, and also running inference with pi0 in Libero? Additionally, if there is any documentation for these commands in general for fine-tuning and eval, ... | https://github.com/huggingface/lerobot/issues/2422 | open | [
"question",
"policies",
"evaluation"
] | 2025-11-11T09:22:25Z | 2025-11-19T16:53:27Z | null | thomasdeng2027 |
huggingface/lerobot | 2,421 | Seeking assistance with tactile data acquisition | I want to simultaneously collect tactile and visual data, with tactile data sampled at 150 fps and visual data at 30 fps. Each time an image frame is saved, I also want to store all tactile data collected during that time interval as additional features associated with the image.
What would be the best approach to imp... | https://github.com/huggingface/lerobot/issues/2421 | open | [
"question"
] | 2025-11-11T02:49:57Z | 2025-11-19T16:53:05Z | null | zhoushaoxiang |
vllm-project/vllm | 28,438 | [Usage]: How do I install vLLM nightly? | ### Your current environment
The output of collect_env.py
```text
==============================
System Info
==============================
OS : Ubuntu 20.04.5 LTS (x86_64)
GCC version : (Ubuntu 9.4.0-1ubuntu1~20.04.2) 9.4.0
Clang version : Could not co... | https://github.com/vllm-project/vllm/issues/28438 | closed | [
"usage"
] | 2025-11-11T02:24:47Z | 2025-11-12T01:54:42Z | 2 | LittleLucifer1 |
vllm-project/vllm | 28,425 | [Feature][RL]: Fix Fp8 Weight Loading for RL | ### 🚀 The feature, motivation and pitch
Feedback from RL community that vLLM weight loading in fp8 is bad for RL
- https://vllm-dev.slack.com/archives/C07UUL8E61Z/p1762811441757529
The cause is clear: in [fp8.py](https://github.com/vllm-project/vllm/blob/bf6a3d0ff5a69e0a30567f2ad417530c002eaa4e/vllm/model_executor/l... | https://github.com/vllm-project/vllm/issues/28425 | open | [
"feature request"
] | 2025-11-10T21:59:02Z | 2025-11-10T23:25:37Z | 1 | robertgshaw2-redhat |
huggingface/transformers.js | 1,450 | SmolVLM2 500M Video Instruct - Video inference | ### Question
Hey, is it possible to setup **video** inference through **transformers.js** (may be somehow else?) for the model SmolVLM2 500M Video Instruct? I can't make it work, but I saw, that it is possible in py transformers.
I want to create something similar to https://huggingface.co/spaces/HuggingFaceTB/SmolVL... | https://github.com/huggingface/transformers.js/issues/1450 | open | [
"question"
] | 2025-11-10T19:51:07Z | 2025-11-12T07:46:32Z | null | youchi1 |
vllm-project/vllm | 28,409 | [Usage]: There is any performance benchmark between running vLLM server via docker image and python? | ### Your current environment
```text
I mean, if I run a service with the vLLM docker image, it has any performance upgrade if comparing with running it as a python service (e.g., importing vllm package, setting up vllm inference, handling payload/responses, etc)?
```
### How would you like to use vllm
_No respons... | https://github.com/vllm-project/vllm/issues/28409 | open | [
"usage"
] | 2025-11-10T17:56:14Z | 2025-11-10T17:56:14Z | 0 | rafaelsandroni |
vllm-project/vllm | 28,393 | [Feature]: Does vllm-jax plan to support GPU acceleration? | ### 🚀 The feature, motivation and pitch
Does vllm-jax plan to support GPU acceleration?
### Alternatives
_No response_
### Additional context
_No response_
### Before submitting a new issue...
- [x] Make sure you already searched for relevant issues, and asked the chatbot living at the bottom right corner of th... | https://github.com/vllm-project/vllm/issues/28393 | closed | [
"feature request"
] | 2025-11-10T12:28:20Z | 2025-11-10T21:44:57Z | 2 | south-ocean |
vllm-project/vllm | 28,388 | [Bug]: 新版的vllm已经废弃了v0代码，而对qwen-omni系列的模型支持仅限于v0，似乎是因为这个原因，我们无法使用最新版的vllm推理qwen-omni模型 | ### Your current environment
Name: vllm
Version: 0.10.2
### 🐛 Describe the bug
下面的官方样例代码似乎是无法运行的，会对其中的音频使用参数
"mm_processor_kwargs": {
"use_audio_in_video": True,
},
进行报错：
```python
# SPDX-License-Identifier: Apache-2.0
# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
... | https://github.com/vllm-project/vllm/issues/28388 | open | [
"bug"
] | 2025-11-10T09:23:33Z | 2025-11-16T05:51:42Z | 1 | Lee-xeo |
huggingface/accelerate | 3,836 | When using gradient accumulation, does the order of optimizer.zero_grad() affect training? | if I use accelerate+deepspeed to train a model, and I set
`deepspeed_config:
gradient_accumulation_steps: 8
offload_optimizer_device: cpu
offload_param_device: cpu
zero3_init_flag: false
zero_stage: 2`
does the order of the order of backward(), step(), zero_grad() affect training?
For example:
`for batch in... | https://github.com/huggingface/accelerate/issues/3836 | closed | [] | 2025-11-10T03:11:21Z | 2025-12-20T15:24:00Z | 3 | polestarss |
huggingface/transformers | 42,113 | Add AutoMergeAdapters: Official Utility to Combine Multiple LoRA Adapters into One Unified Model | ### Feature request
Introduce a new built-in class AutoMergeAdapters to the Transformers/PEFT ecosystem that enables users to merge multiple LoRA adapters trained on different domains or datasets into a single model.
This feature simplifies the process of creating multi-domain fine-tuned models for inference and depl... | https://github.com/huggingface/transformers/issues/42113 | closed | [
"Feature request"
] | 2025-11-09T18:43:20Z | 2025-11-10T16:58:34Z | 1 | 3015pavan |
huggingface/transformers | 42,111 | Add thinking-budget support (max_thinking_tokens) for reasoning-capable chat models | ### Feature request
A built-in way to cap how many tokens a reasoning model spends inside its ``<think> … </think>`` block. Today, we can only control the total response length via ``max_new_tokens``. No parameter limits the internal reasoning segment when ``enable_thinking=True``.
### Motivation
- Reasoning models ... | https://github.com/huggingface/transformers/issues/42111 | open | [
"Feature request"
] | 2025-11-09T10:09:11Z | 2025-11-09T10:09:11Z | 0 | AndresAlgaba |
vllm-project/vllm | 28,362 | [Usage]: Can't get vLLM to run on an Intel 125H with XPU and Arc graphics | ### Your current environment
```text
Collecting environment information... ... | https://github.com/vllm-project/vllm/issues/28362 | open | [
"usage",
"intel-gpu"
] | 2025-11-09T09:45:05Z | 2025-11-12T00:19:39Z | 2 | phlibi |
vllm-project/vllm | 28,350 | [Doc]: Running VLLM via Docker Swarm With Support for Tensor Parallelism | ### 📚 Running VLLM via Docker Swarm With Support for Tensor Parallelism
There's no documentation that I have found outlining how to run VLLM in a docker swarm when utilizing tensor parallelism. The issue is that ```ipc=host``` is not an available option within docker swarm. Consulting the AI feature on the VLLM we... | https://github.com/vllm-project/vllm/issues/28350 | closed | [
"documentation"
] | 2025-11-08T21:11:15Z | 2025-11-19T16:37:31Z | 2 | ep5000 |
vllm-project/vllm | 28,348 | [Usage]: Does vllm support max_pixels in prompt on Qwen3-VL reasoning? | ### Your current environment
```text
The output of `python collect_env.py`
```
### How would you like to use vllm
I want to run inference of Qwen3-VL-A3B-Instruct, I tried to set max_pixels but it doesn't work.
import json
import base64
import requests
img_path = r".\images\MMMU\735_1.jpg"
base64_str = base64.b64e... | https://github.com/vllm-project/vllm/issues/28348 | open | [
"usage"
] | 2025-11-08T16:06:07Z | 2025-11-08T16:56:17Z | 1 | leijie-ww |
vllm-project/vllm | 28,344 | [Usage]: Function calling Request's sampling_params.structured_outputs is None? |
Hi, I used openai server API to build a LLM backend when I tried to deploy a MCP server. I discovered that the prompt of vllm engine combined system prompt, tool lists and user prompt. but i saw sampling_params.structured_outputs is None. Although the result seemed correct， I think it's important to use structured ou... | https://github.com/vllm-project/vllm/issues/28344 | closed | [
"usage"
] | 2025-11-08T08:57:17Z | 2025-11-10T07:51:51Z | 5 | wtr0504 |
vllm-project/vllm | 28,340 | [Installation]: Need offline wheel for vLLM 0.11.0rc2 (pip download fails) to deploy qwen3_vl_235b_a22b_instruct_i18n | ### Your current environment
I need to install vLLM 0.11.0rc2 in an offline environment.
Is there an official wheel (.whl) available for vLLM==0.11.0rc2 that I can download directly?
Running:
```
pip download vllm==0.11.0rc2 --pre --extra-index-url https://wheels.vllm.ai/nightly -d wheels
```
fails with an error:
L... | https://github.com/vllm-project/vllm/issues/28340 | closed | [
"installation"
] | 2025-11-08T06:05:31Z | 2025-11-08T06:08:37Z | 0 | FateForever0222 |
vllm-project/vllm | 28,310 | [Doc]: Update GPU requirements to include AMD gfx1150/gfx1151 | ### 📚 The doc issue
Summary: The documentation for GPU requirements does not list AMD gfx1150 and gfx1151 architectures, which are now supported.
Background: Support for AMD gfx1150 and gfx1151 GPUs was added in https://github.com/vllm-project/vllm/pull/25908. The GPU requirements page should be updated to reflect t... | https://github.com/vllm-project/vllm/issues/28310 | closed | [
"documentation",
"rocm"
] | 2025-11-07T17:26:47Z | 2025-11-08T03:01:08Z | 1 | hammmmy |
huggingface/transformers | 42,093 | Mbart decoder ignoring index 0 from labels | index 1 from dec in | ### System Info
I am creating a ocr model using VisionEncoderDecoderModel class by connecting plm vision tower and donut base decoder (mbart model).
I am using teacher forcing method to train the model ( default training and i found out that the model is ignoring index 0 from the target ( index 1 from the decoder_i... | https://github.com/huggingface/transformers/issues/42093 | closed | [
"bug"
] | 2025-11-07T15:46:08Z | 2025-11-07T16:27:10Z | 1 | jaaabir |
vllm-project/vllm | 28,292 | [Usage]: Failure to Deploy Llama-3.2-11B-Vision-Instruct Locally via vllm Due to OOM | ### Your current environment
The output of <code>python collect_env.py</code>
```text
==============================
System Info
==============================
OS : Ubuntu 20.04.5 LTS (x86_64)
GCC version : (Ubuntu 9.4.0-1ubuntu1~20.04.2) 9.4.0
Clang version ... | https://github.com/vllm-project/vllm/issues/28292 | closed | [
"usage"
] | 2025-11-07T12:01:04Z | 2026-01-06T00:06:43Z | 5 | LittleLucifer1 |
huggingface/transformers | 42,086 | Does Trainer uses grad scaler for training? | I am not able to see the grad scaler usage in Trainer code. If not using it then I need to understand how are we using mixed precision training with fp16 precision without grad scaler. | https://github.com/huggingface/transformers/issues/42086 | closed | [] | 2025-11-07T10:10:16Z | 2025-11-13T07:58:33Z | 2 | quic-meetkuma |
vllm-project/vllm | 28,283 | [Bug]: nccl stuck issue | ### Your current environment
<details>
<summary>The output of <code>python collect_env.py</code></summary>
```text
Your output of `python collect_env.py` here
```
</details>
### 🐛 Describe the bug
I am using a docker container for vLLM. I noticed that when I use `nvidia/cuda:13.0.X-cudnn-devel-ubuntu24.04` with ... | https://github.com/vllm-project/vllm/issues/28283 | open | [
"bug"
] | 2025-11-07T09:36:01Z | 2025-11-07T09:40:17Z | 1 | seindum |
vllm-project/vllm | 28,262 | [Bug]: [gpt-oss] Responses API incorrect input/output handling | ### Your current environment
Any env
### 🐛 Describe the bug
There is currently an implementation issue with gpt-oss on the Responses API in vLLM. This can be seen clearly in the [test which continues a conversation between API requests here](https://github.com/vllm-project/vllm/blob/4bf56c79cc252d285d0cb4f5edf323f0... | https://github.com/vllm-project/vllm/issues/28262 | open | [
"bug"
] | 2025-11-07T02:51:56Z | 2025-11-08T19:39:06Z | 1 | alecsolder |
huggingface/lerobot | 2,399 | Are there plans to support LoRa fine-tuning? | https://github.com/huggingface/lerobot/issues/2399 | open | [
"question",
"performance",
"training"
] | 2025-11-07T02:37:45Z | 2025-11-10T10:23:33Z | null | Hukongtao | |
huggingface/candle | 3,167 | Qwen 3-1.7b looks like something is wrong and doesn't stop properly. | Candle version: main
Platform: Mac Studio Max M1
Mode: Qwen 3-1.7b, (download by huggingface-cli)
Execute cmd:
git clone https://github.com/huggingface/candle.git
cd candle-examples
cargo run --release --example qwen -- \
--prompt "What is the speed of light?" \
--model 3-1.7b \
--tokenizer-file ../../models/qwen3-1.7... | https://github.com/huggingface/candle/issues/3167 | open | [] | 2025-11-07T02:23:05Z | 2025-11-08T07:52:18Z | 6 | xiuno |
huggingface/lerobot | 2,398 | how to accelerate the iteration in dataset | hi, i want to get the frames of specific episode index
when `episode_index_target` is large, like 100, it takes a lot of time to run.
any solution to improve the iteration speed ?
thanks.
`lerobot.__version__ == '0.1.0'`
```python
dataset = LeRobotDataset('yananchen/robomimic_lift')
frames = []
for sample in datas... | https://github.com/huggingface/lerobot/issues/2398 | closed | [
"question"
] | 2025-11-06T21:37:33Z | 2025-11-10T20:52:57Z | null | yanan1116 |
vllm-project/vllm | 28,246 | [Bug]: Return Token Ids not returning Gen Token Ids for GPT-OSS-120b | ### Your current environment
<details>
Using docker image vllm/vllm-openai:latest
</details>
### 🐛 Describe the bug
When passing in return_token_ids flag to v1/chat/completions endpoint for GPTOSS-120b, only prompt_token_ids are returned and not token_ids. We have not seen this happen with any other model except ... | https://github.com/vllm-project/vllm/issues/28246 | open | [
"bug"
] | 2025-11-06T21:08:16Z | 2025-11-07T00:18:25Z | 1 | sophies-cerebras |
vllm-project/vllm | 28,236 | [Feature]: Implement naive prepare/finalize class to replace naive dispatching in fused_moe/layer.py | ### 🚀 The feature, motivation and pitch
The `FusedMoE` layer has a special case dispatch/combine for EP+DP when there is no specific all2all backend specified. This makes the code in `layer.py` a bit confusing and hard to follow. One way to simplify this is to implement a proper `FusedMoEPrepareAndFinalize` subclas... | https://github.com/vllm-project/vllm/issues/28236 | open | [
"help wanted",
"good first issue",
"feature request"
] | 2025-11-06T18:38:38Z | 2025-11-12T06:36:29Z | 4 | bnellnm |
vllm-project/vllm | 28,233 | [Usage]: LogitProcessor vLLM 0.9.1 run the same prompt 50 times with batching, apply logitprocessor independently on each | ### Your current environment
Goal
Run the same prompt 50 times through vLLM 0.9.1, generating independent outputs with a custom LogitsProcessor that forces a comma token after some pattern "xyz" appears in each generation.
What You Want
Batched execution: Process all 50 generations efficiently in parallel
Independent... | https://github.com/vllm-project/vllm/issues/28233 | open | [
"usage"
] | 2025-11-06T18:11:32Z | 2025-11-06T18:11:32Z | 0 | jindalankush28 |
vllm-project/vllm | 28,230 | [Bug]: GPU VRAM continuously increase during Qwen3-VL usage over days until OOM | ### Your current environment
Setup:
docker run -d \
--runtime nvidia \
--gpus '"device=3,4,5,6"' \
-e TRANSFORMERS_OFFLINE=1 \
-e DEBUG="true" \
-p 8000:8000 \
--ipc=host \
vllm/vllm-openai:v0.11.0 \
--gpu-memory-utilization 0.95 \
--model Qwen/Qwen3-VL-235B-A22B-Instruct-FP8 \
--tensor-parallel-si... | https://github.com/vllm-project/vllm/issues/28230 | open | [
"bug"
] | 2025-11-06T17:19:18Z | 2025-12-02T16:50:26Z | 15 | yz342 |
huggingface/datasets | 7,852 | Problems with NifTI | ### Describe the bug
There are currently 2 problems with the new NifTI feature:
1. dealing with zipped files, this is mentioned and explained [here](https://github.com/huggingface/datasets/pull/7815#issuecomment-3496199503)
2. when uploading via the `niftifolder` feature, the resulting parquet only contains relative p... | https://github.com/huggingface/datasets/issues/7852 | closed | [] | 2025-11-06T11:46:33Z | 2025-11-06T16:20:38Z | 2 | CloseChoice |
huggingface/peft | 2,901 | AttributeError: 'float' object has no attribute 'meta' | ### System Info
peft== 0.17.1
torch== 2.5.1+cu118
transformers==4.57.0
python==3.12.7
### Who can help?
I am trying to use LoRA with DINOv3 (so a slightly modified vit-b). However, I am hitting after a random number of iterations this error. It is sadly difficult to reproduce. Maybe someone can hint at what is going... | https://github.com/huggingface/peft/issues/2901 | closed | [] | 2025-11-06T11:24:18Z | 2025-11-17T15:34:08Z | 6 | Karol-G |
vllm-project/vllm | 28,192 | [RFC]: Support separate NICs for KV cache traffic and MoE traffic | ### Motivation.
In MoE models with large KV caches, KV cache all-to-all and MoE expert communication share the same RNIC, causing congestion and degrading performance. Using dedicated NICs for each traffic type can improve bandwidth utilization and reduce interference.
### Proposed Change.
Does vLLM currently suppor... | https://github.com/vllm-project/vllm/issues/28192 | open | [
"RFC"
] | 2025-11-06T07:31:17Z | 2025-11-06T08:19:56Z | 1 | JayFzh |
vllm-project/vllm | 28,186 | [Bug] Cannot load qwen3-vl series with lora adapter | I fine-tuned the `Qwen3-VL-8B-Instruct` model using Unsloth.
I moved the saved QLoRA adapter and the `Qwen3-VL-2B-Instruct` model to my vLLM server.
Then I ran a command to start model serving with vLLM as shown below. (For reference, the vLLM server has no issues—it was already serving official Qwen3-VL models.)
```
... | https://github.com/vllm-project/vllm/issues/28186 | open | [
"bug"
] | 2025-11-06T06:02:33Z | 2025-11-09T11:16:27Z | 4 | deepNoah |
huggingface/trl | 4,481 | DPOTrainer._prepare_dataset() adds an extra eos_token to conversationally formatted inputs | ## Overview
The DPOTrainer unconditionally appends the eos_token to both the "chosen" and "rejected" sequences. Because conversationally formatted inputs will already have the chat template applied, this causes them to have duplicate eos_tokens (Ex. `...<|im_end|><|im_end|>`).
A related problem was reported for the [... | https://github.com/huggingface/trl/issues/4481 | open | [
"🐛 bug",
"🏋 DPO"
] | 2025-11-06T01:17:05Z | 2025-11-06T18:40:39Z | 0 | DevonPeroutky |
huggingface/trl | 4,468 | Move RLOOTrainer to trl.experimental | ## Context
Part of #4223 and #4374 - Moving trainers to experimental submodule for V1.
## Task
Move RLOOTrainer from main trl module to trl.experimental:
- [ ] Move trainer file to trl/experimental/
- [ ] Update imports in __init__.py files
- [ ] Update documentation
- [ ] Add deprecation warning in old location
- ... | https://github.com/huggingface/trl/issues/4468 | closed | [
"📚 documentation",
"✨ enhancement"
] | 2025-11-05T21:30:15Z | 2025-12-05T18:21:41Z | 2 | behroozazarkhalili |
huggingface/trl | 4,466 | Move PPOTrainer to trl.experimental | ## Context
Part of #4223 and #4374 - Moving trainers to experimental submodule for V1.
## Task
Move PPOTrainer from main trl module to trl.experimental:
- [ ] Move trainer file to trl/experimental/
- [ ] Update imports in __init__.py files
- [ ] Update documentation
- [ ] Add deprecation warning in old location
- [... | https://github.com/huggingface/trl/issues/4466 | closed | [
"📚 documentation",
"✨ enhancement",
"🏋 PPO"
] | 2025-11-05T21:29:54Z | 2025-11-13T19:01:20Z | 0 | behroozazarkhalili |
huggingface/trl | 4,465 | Move ORPOTrainer to trl.experimental | ## Context
Part of #4223 and #4374 - Moving trainers to experimental submodule for V1.
## Task
Move ORPOTrainer from main trl module to trl.experimental:
- [ ] Move trainer file to trl/experimental/
- [ ] Update imports in __init__.py files
- [ ] Update documentation
- [ ] Add deprecation warning in old location
- ... | https://github.com/huggingface/trl/issues/4465 | closed | [
"📚 documentation",
"✨ enhancement",
"🏋 ORPO"
] | 2025-11-05T21:29:44Z | 2025-11-21T06:36:32Z | 0 | behroozazarkhalili |
huggingface/trl | 4,463 | Move KTOTrainer to trl.experimental | ## Context
Part of #4223 and #4374 - Moving trainers to experimental submodule for V1.
## Task
Move KTOTrainer from main trl module to trl.experimental:
- [ ] Move trainer file to trl/experimental/
- [ ] Update imports in __init__.py files
- [ ] Update documentation
- [ ] Add deprecation warning in old location
- [... | https://github.com/huggingface/trl/issues/4463 | open | [
"📚 documentation",
"✨ enhancement",
"🏋 KTO"
] | 2025-11-05T21:29:25Z | 2025-11-05T21:29:50Z | 0 | behroozazarkhalili |
huggingface/trl | 4,461 | Move OnlineDPOTrainer to trl.experimental | ## Context
Part of #4223 and #4374 - Moving trainers to experimental submodule for V1.
## Task
Move OnlineDPOTrainer from main trl module to trl.experimental:
- [ ] Move trainer file to trl/experimental/
- [ ] Update imports in __init__.py files
- [ ] Update documentation
- [ ] Add deprecation warning in old locati... | https://github.com/huggingface/trl/issues/4461 | closed | [
"📚 documentation",
"✨ enhancement",
"🏋 Online DPO"
] | 2025-11-05T21:28:08Z | 2025-11-24T01:13:07Z | 1 | behroozazarkhalili |
vllm-project/vllm | 28,152 | [Feature]: Factor out `zero_expert_num` from `FusedMoE` | ### 🚀 The feature, motivation and pitch
We have many special cases in `FusedMoE` for `zero_expert_num`
This parameter is used exclusively for `LongCatFlash`. We should factor this out of `FusedMoe` and put the complexity into the model file.
### Alternatives
_No response_
### Additional context
_No response_
##... | https://github.com/vllm-project/vllm/issues/28152 | open | [
"help wanted",
"feature request"
] | 2025-11-05T19:05:54Z | 2025-11-06T20:08:23Z | 0 | robertgshaw2-redhat |
vllm-project/vllm | 28,150 | [Bug]: -O.mode=NONE (or -cc.mode=NONE) should work | ### Your current environment
main
### 🐛 Describe the bug
Right now -O.mode only accepts integer levels. Ideally it would accept ints and the string.
`vllm serve -O.mode=NONE` # doesn't work
`vllm serve -O.mode=0` # does work
### Before submitting a new issue...
- [x] Make sure you already searched for relevant... | https://github.com/vllm-project/vllm/issues/28150 | closed | [
"bug",
"help wanted",
"good first issue",
"torch.compile"
] | 2025-11-05T18:28:23Z | 2025-11-12T00:46:20Z | 1 | zou3519 |
vllm-project/vllm | 28,137 | [Feature]: Refactor `aiter_shared_expert_fusion` | ### 🚀 The feature, motivation and pitch
We have a special case in `FusedMoE` layer for `aiter_shared_expert_fusion` which creates various if branches spattered across the layer
We should factor this out
### Alternatives
_No response_
### Additional context
_No response_
### Before submitting a new issue...
- [... | https://github.com/vllm-project/vllm/issues/28137 | open | [
"help wanted"
] | 2025-11-05T15:54:09Z | 2025-12-20T22:00:55Z | 3 | robertgshaw2-redhat |
vllm-project/vllm | 28,132 | [Usage]: How do I assign a specific GPU to a vLLM docker container? | ### Your current environment
stock vllm-openai:v0.11.0 docker image
rootless Docker v.27.5.1 on Ubuntu 22.04.5 LTS on physical hardware
Nvidia Driver Version: 570.133.20
CUDA Version: 12.8
GPUs: 4x H100 (NVLink), numbered 0,1,2,3
### How would you like to use vllm
I want to run inference of [SmolLM3-3B](https://hugg... | https://github.com/vllm-project/vllm/issues/28132 | closed | [
"usage"
] | 2025-11-05T14:42:17Z | 2025-11-06T14:54:41Z | 1 | lindner-tj |
huggingface/lerobot | 2,389 | How to resolve the issue that GROOT cannot train properly? Below is my training configuration and error log. | How to resolve the issue that GROOT cannot train properly? Below is my training configuration and error log.
accelerate launch \
--multi_gpu \
--num_processes=2 \
$(which lerobot-train) \
--output_dir=./outputs/groot_training \
--save_checkpoint=true \
--batch_size=8 \
--steps=200000 \
--save_freq=2000... | https://github.com/huggingface/lerobot/issues/2389 | open | [
"training"
] | 2025-11-05T10:17:59Z | 2025-11-07T17:47:50Z | null | wuxiaolianggit |
huggingface/lerobot | 2,388 | how to improve the generalization of the vla model like gr00t | After fine-tuning the gr00t, i found that it only work for the prompt within the dataset, it is difficult for it to understand new words and new item that need to grab.
so whether there is a method can protect the generalization, if i can create a new layer to map the output of the model to new dimensionality? | https://github.com/huggingface/lerobot/issues/2388 | open | [] | 2025-11-05T10:06:11Z | 2025-11-05T10:44:38Z | null | Temmp1e |
vllm-project/vllm | 28,119 | [Feature]: Will we support async scheduler for pipeline parallel? | ### 🚀 The feature, motivation and pitch
SGLang already have https://github.com/sgl-project/sglang/pull/11852
And I see huge perf gap on SM120 PP because of this.
### Alternatives
_No response_
### Additional context
_No response_
### Before submitting a new issue...
- [x] Make sure you already searched for rel... | https://github.com/vllm-project/vllm/issues/28119 | closed | [
"feature request"
] | 2025-11-05T09:55:57Z | 2025-11-07T06:14:19Z | 4 | weireweire |
huggingface/gsplat.js | 122 | I want to add an object (such as a robot) to move around in the model. How can this be achieved? | I want to add an object (such as a robot) to move around in the model. How can this be achieved? | https://github.com/huggingface/gsplat.js/issues/122 | open | [] | 2025-11-05T09:16:39Z | 2025-11-05T09:16:39Z | null | ThinkingInGIS |
vllm-project/vllm | 28,104 | [Usage]: vllm bench serve不能用sharegpt数据集 | ### Your current environment
```text
我运行以下bencmmarks命令：vllm bench serve --model Qwen3 --tokenizer /mnt/workspace/models --host 127.0.0.1 --port 80 --num-prompts 400 --percentile-metrics ttft,tpot,itl,e2el --metric-percentiles 90,95,99 --dataset-name sharegpt --data
set-path /mnt/workspace/benchmarks/sharegpt/ShareGPT_... | https://github.com/vllm-project/vllm/issues/28104 | open | [
"usage"
] | 2025-11-05T06:18:02Z | 2025-11-06T14:24:46Z | 1 | uOnePiece |
vllm-project/vllm | 28,070 | [Usage]: Is there a way to control default thinking behaviour of a model? | ### Your current environment
Is there a way to control default thinking behaviour for models deployed through vllm.
As per https://docs.vllm.ai/en/stable/features/reasoning_outputs.html,
IBM Grantie 3.2 reasoning is disabled by default.
Qwen3, GLM 4.6, Deepseek V3.1 all have reasoning enabled by default.
It would be g... | https://github.com/vllm-project/vllm/issues/28070 | closed | [
"usage"
] | 2025-11-04T22:03:32Z | 2025-12-30T03:38:48Z | 0 | yz342 |
vllm-project/vllm | 28,056 | [Bug]: Missing libarm_compute.so in Arm CPU pip installed wheels | ### Your current environment
<details>
<summary>The output of <code>python collect_env.py</code></summary>
```text
Your output of `python collect_env.py` here
```
</details>
### 🐛 Describe the bug
We now have vllm wheels for Arm CPUs in pypi thanks to https://github.com/vllm-project/vllm/pull/26931 and https://g... | https://github.com/vllm-project/vllm/issues/28056 | closed | [
"bug"
] | 2025-11-04T17:22:55Z | 2025-11-13T05:43:10Z | 2 | fadara01 |
vllm-project/vllm | 28,046 | Qwen3-Omni model inference : ValueError: Either SamplingParams or PoolingParams must be provided. | ### Your current environment
```text
The output of `python web_demo.py`
```
The above mentioned method provides the error below
```
qwen/Qwen3-Omni/collect_env.py", line 287, in get_vllm_version
from vllm import __version__, __version_tuple__
ImportError: cannot import name '__version__' from 'vllm' (unknown lo... | https://github.com/vllm-project/vllm/issues/28046 | closed | [
"usage"
] | 2025-11-04T13:59:57Z | 2025-11-24T19:24:39Z | 22 | Tortoise17 |
vllm-project/vllm | 28,045 | [Doc]: Any detailed documentation about how to load_weights in customized vllm model? | ### 📚 The doc issue
I don't know how to modify the attention and how the load_model works.
The documentation says too few, I find it's hard to understand.
Anyone has some more detailed experience? Thank you!
### Suggest a potential alternative/fix
_No response_
### Before submitting a new issue...
- [x] Make su... | https://github.com/vllm-project/vllm/issues/28045 | open | [
"documentation"
] | 2025-11-04T13:23:25Z | 2025-11-05T02:07:55Z | 0 | sleepwalker2017 |
vllm-project/vllm | 28,035 | [Usage]: deepseek-ocr The output token count is too low and unstable. | ### Your current environment
```text
The output of `python collect_env.py`
```
### How would you like to use vllm
python3 -m vllm.entrypoints.openai.api_server --served-model-name deepseek-ocr --model deepseekocr --tensor-parallel-size 1 --gpu-memory-utilization 0.95 --disable-log-requests --logits_processors vllm.... | https://github.com/vllm-project/vllm/issues/28035 | open | [
"usage"
] | 2025-11-04T09:50:53Z | 2025-11-04T09:50:53Z | 0 | sixgod-666 |
vllm-project/vllm | 28,031 | [Usage]: Error: Failed to initialize the TMA descriptor 700 | ### Your current environment
vllm0.11.0 to train Qwen3-vl-8B
The following error message appears intermittently during training.
```
[36m(WorkerDict pid=82555)[0m TMA Desc Addr: 0x7f4e2736b080
[36m(WorkerDict pid=82555)[0m format 9
[36m(WorkerDict pid=82555)[0m dim 4
[36m(WorkerDict pid=... | https://github.com/vllm-project/vllm/issues/28031 | open | [
"usage"
] | 2025-11-04T08:13:45Z | 2025-12-11T08:18:15Z | 4 | DBMing |
vllm-project/vllm | 28,016 | [Usage]: How to recognize PDFs in DeepSeek-OCR with openai | ### Your current environment
```
vllm serve deepseek-ai/DeepSeek-OCR --logits_processors vllm.model_executor.models.deepseek_ocr.NGramPerReqLogitsProcessor --no-enable-prefix-caching --mm-processor-cache-gb 0
```
### How would you like to use vllm
How to recognize PDFs and convert PDFs to Markdown with DeepSeek-OCR... | https://github.com/vllm-project/vllm/issues/28016 | open | [
"usage"
] | 2025-11-04T03:35:38Z | 2025-11-04T07:33:07Z | 2 | shoted |
vllm-project/vllm | 28,003 | [Usage]: | ### Your current environment
```text
Collecting environment information...
==============================
System Info
==============================
OS : Ubuntu 22.04.5 LTS (x86_64)
GCC version : (Ubuntu 11.4.0-1ubuntu1~22.04) 11.4.0
Clang version : Cou... | https://github.com/vllm-project/vllm/issues/28003 | open | [
"usage"
] | 2025-11-03T21:19:15Z | 2025-11-26T15:32:40Z | 1 | amitmvyas |
vllm-project/vllm | 27,995 | [RFC]: Make PassConfig flags less verbose | ### Motivation.
Almost all `PassConfig` field names have `enable_` in the name, which is unnecessarily verbose. They are also pretty long, and sometimes not descriptive enough. Finally, `enable_fusion` should be split into rmsnorm+quant and activation+quant flags as we want to control these flags separately.
### Prop... | https://github.com/vllm-project/vllm/issues/27995 | closed | [
"help wanted",
"good first issue",
"RFC",
"torch.compile"
] | 2025-11-03T17:49:29Z | 2025-12-03T19:53:01Z | 7 | ProExpertProg |
huggingface/peft | 2,888 | Potential remote code execution via untrusted tokenizer_kwargs in PromptEmbedding | ### Description
A remote code execution vector exists in the PEFT prompt-tuning flow. A remote `adapter_config.json` can inject loader kwargs that are forwarded to `AutoTokenizer.from_pretrained` calls. If an attacker sets `"tokenizer_kwargs": {"trust_remote_code": true}` and points `tokenizer_name_or_path` at an atta... | https://github.com/huggingface/peft/issues/2888 | closed | [] | 2025-11-03T16:04:52Z | 2025-11-04T17:50:28Z | 3 | Vancir |
huggingface/lerobot | 2,371 | memory increase continuously during training Groot | ### System Info
```Shell
- lerobot version: 0.4.1
- Platform: Linux-5.4.250-2-velinux1u3-amd64-x86_64-with-glibc2.31
- Python version: 3.10.15
- Huggingface Hub version: 0.35.3
- Datasets version: 4.1.1
- Numpy version: 2.1.3
- PyTorch version: 2.7.1+cu126
- Is PyTorch built with CUDA support?: True
- Cuda version: 12... | https://github.com/huggingface/lerobot/issues/2371 | open | [
"question",
"policies",
"performance"
] | 2025-11-03T14:38:52Z | 2025-12-31T13:17:11Z | null | caoran2025 |
vllm-project/vllm | 27,982 | [Usage]: How can I access or return hidden states (representations) after generation? | ### Your current environment
In my training pipeline (GRPO), I need to access hidden-state representations of all layers and store prompt representations alongside generated sequences.
Is there any supported way to extract or return hidden states from the vLLM inference engine?
Environment
vllm==0.11.0
Python 3.12
#... | https://github.com/vllm-project/vllm/issues/27982 | open | [
"usage"
] | 2025-11-03T13:01:51Z | 2025-11-04T03:07:40Z | 1 | hakbari14 |
huggingface/lerobot | 2,368 | Release 0.5.0 | A Github Issue created for the upcoming release to discuss the planned features & changes:
* Audio PR #967
* Bump transformers dependency to +v5 | https://github.com/huggingface/lerobot/issues/2368 | open | [
"bug",
"question",
"dependencies"
] | 2025-11-03T12:46:51Z | 2025-12-24T00:08:16Z | null | imstevenpmwork |
vllm-project/vllm | 27,981 | [Usage]: qwenvl2.5如何指定max_pixels | ### Your current environment
如题，我尝试了``--mm-processor-kwargs {"max_pixels": $MAX_PIXELS}``无效
### How would you like to use vllm
I want to run inference of a [specific model](put link here). I don't know how to integrate it with vllm.
### Before submitting a new issue...
- [x] Make sure you already searched for rel... | https://github.com/vllm-project/vllm/issues/27981 | open | [
"usage"
] | 2025-11-03T12:38:34Z | 2025-11-04T08:19:54Z | 3 | aJupyter |
huggingface/accelerate | 3,829 | Does Accelerate automatically set the DataLoader’s sampler to a DistributedSampler? | ```python
from accelerate import Accelerator
accelerator = Accelerator()
device = accelerator.device
model, optimizer, training_dataloader, scheduler = accelerator.prepare(
model, optimizer, training_dataloader, scheduler
)
for batch in training_dataloader:
optimizer.zero_grad()
inputs, targets = batch
... | https://github.com/huggingface/accelerate/issues/3829 | closed | [] | 2025-11-03T07:17:29Z | 2025-12-16T15:09:43Z | 2 | caixxiong |
vllm-project/vllm | 27,957 | [Usage]: What is the difference between embedding task and pooler task? | ### Your current environment
Any document about this?
### How would you like to use vllm
I want to run inference of a [specific model](put link here). I don't know how to integrate it with vllm.
### Before submitting a new issue...
- [x] Make sure you already searched for relevant issues, and asked the chatbot l... | https://github.com/vllm-project/vllm/issues/27957 | closed | [
"usage"
] | 2025-11-03T03:38:39Z | 2025-11-03T10:20:18Z | 1 | sleepwalker2017 |
vllm-project/vllm | 27,949 | [Usage]: How do I deploy GGUF models with vLLM via Docker correct? | ### Your current environment
```text
The output of `python collect_env.py`
```
Here is the output from `sudo python3 collect_env.py`
```
Traceback (most recent call last):
File "/export/nvme/vllm/collect_env.py", line 18, in <module>
import regex as re
ModuleNotFoundError: No module named 'regex'
```
### How w... | https://github.com/vllm-project/vllm/issues/27949 | open | [
"usage"
] | 2025-11-02T23:33:49Z | 2025-11-02T23:36:44Z | 1 | alpha754293 |
huggingface/xet-core | 549 | How to get the "Xet backed hash"? | Hi,
On HuggingFace, every page has a "Xet backed hash" (I've attached an example below) and I am trying to figure out how to compute that locally.
I've read the documentation and it says there are 4 types of different hashes but it's not really clear how a "Xet backed hash" is calculated.
So I was just wondering if ... | https://github.com/huggingface/xet-core/issues/549 | closed | [] | 2025-11-02T09:40:39Z | 2025-11-06T16:20:25Z | null | arch-btw |
huggingface/lerobot | 2,360 | diffusion transformer | 请问有大佬在lerobot中将diffusion unet改为DiT过吗 | https://github.com/huggingface/lerobot/issues/2360 | open | [
"question",
"policies"
] | 2025-11-02T09:05:30Z | 2025-11-12T09:01:59Z | null | Benxiaogu |
vllm-project/vllm | 27,928 | [Bug]: What happened to /get_world_size ? | ### Your current environment
vllm 0.11.0
trl 0.24.0
python 3.12
linux amd64
### 🐛 Describe the bug
TRL is expecting a `/get_world_size` route https://github.com/huggingface/trl/blob/main/trl/extras/vllm_client.py#L279 for its GRPO trainer. That gives a 404 on the latest version of vLLM.
Was this changed to anothe... | https://github.com/vllm-project/vllm/issues/27928 | open | [
"bug"
] | 2025-11-01T22:56:45Z | 2025-11-03T02:42:14Z | 1 | pbarker-synth |
huggingface/lerobot | 2,356 | AsyncInference only running one action chunk | I have my SO101 arms connected to my computer, and I'm running an asynchronous server on a cloud GPU with a RTX 4090.
When I start running Pi0.5, the model is loaded and the SO101 makes its first move by setting the robot to be at its middle position, but then no further actions are made although the server logs new o... | https://github.com/huggingface/lerobot/issues/2356 | open | [
"question",
"robots"
] | 2025-11-01T20:31:10Z | 2025-12-23T01:10:35Z | null | kevinjosethomas |
vllm-project/vllm | 27,916 | [Feature]: Does the latest version support LoRa for visual models? | ### 🚀 The feature, motivation and pitch
When I loaded the QWEN2.5-VL model fine-tuned by LoRa using vllm version 0.8.4, I encountered the following prompt:
> Regarding multimodal models, vLLM currently only supports adding LoRA to language model, visual.blocks.31.mlp.up_proj will be ignored.
I found an issue https:... | https://github.com/vllm-project/vllm/issues/27916 | closed | [
"feature request"
] | 2025-11-01T12:23:36Z | 2025-12-26T12:48:22Z | 1 | SmartNight-cc |
huggingface/lerobot | 2,354 | Cannot reproduce SmolVLA results on LIBERO benchmark | Hello,
I am trying to reproduce LIBERO benchmark results of [SmolVLA](https://huggingface.co/HuggingFaceVLA/smolvla_libero).
However, I can't reproduce results on neither [leaderboard](https://huggingface.co/spaces/HuggingFaceVLA/libero-vla-leaderboard) and [paper](https://arxiv.org/abs/2506.01844)
I am working on NV... | https://github.com/huggingface/lerobot/issues/2354 | open | [
"question",
"policies",
"simulation"
] | 2025-11-01T11:20:05Z | 2026-01-05T08:38:48Z | null | Hesh0629 |
huggingface/trl | 4,419 | GRPO with reward model. CUDA out of memory. How to fix? Thank you very much. | train_grpo.py:
```python
import argparse
import os
from typing import Callable, Dict, List, Optional
import torch
from datasets import Dataset, load_dataset
from transformers import (
AutoModelForCausalLM,
AutoTokenizer,
AutoModelForSequenceClassification,
pipeline,
set_seed,
)
from trl import GRPO... | https://github.com/huggingface/trl/issues/4419 | open | [
"🏋 Reward",
"🏋 GRPO"
] | 2025-11-01T10:29:28Z | 2025-11-20T12:26:50Z | null | guotong1988 |
vllm-project/vllm | 27,912 | [Usage]: How should I use the CPU to deploy QWEN3 VL 30B-A3B? | ### Your current environment
```text
The output of `python collect_env.py`
```
(APIServer pid=1033476) Traceback (most recent call last):
(APIServer pid=1033476) File "/home/maxgameone/anaconda3/bin/vllm", line 33, in <module>
(APIServer pid=1033476) sys.exit(load_entry_point('vllm==0.11.1rc6.dev33+g3a5de7d2d.cp... | https://github.com/vllm-project/vllm/issues/27912 | open | [
"usage"
] | 2025-11-01T07:40:04Z | 2025-11-01T07:40:04Z | 0 | maxgameone |
vllm-project/vllm | 27,899 | [Bug]: Inductor specialize after 2.9 rebase | ### Your current environment
NA
### 🐛 Describe the bug
Could you or someone have a look at compile ranges [PR](https://github.com/vllm-project/vllm/pull/24252) again? It seems to stop working with the update to pytorch 2.9. We started getting failed assertions in generated code like it was compiled for a single sha... | https://github.com/vllm-project/vllm/issues/27899 | closed | [
"bug"
] | 2025-10-31T22:16:27Z | 2025-11-07T00:03:25Z | 7 | laithsakka |
vllm-project/vllm | 27,898 | [Doc]: Multi-node EP on EFA (i.e. no IBGDA/DeepEP) | ### 📚 The doc issue
Usecase: On AWS we have EFA for high bandwidth interconnect, not Infiniband, so no IBGDA.
The [documentation](https://docs.vllm.ai/en/latest/serving/expert_parallel_deployment.html#backend-selection-guide) indicates that the DeepEP kernels should be used for multi/inter-node EP, and pplx for sing... | https://github.com/vllm-project/vllm/issues/27898 | open | [
"documentation"
] | 2025-10-31T21:22:28Z | 2025-11-06T19:50:07Z | 1 | nathan-az |
huggingface/peft | 2,884 | [Question/Bug] How to safely continue LoRA fine-tuning under DeepSpeed ZeRO-3 (multi-stage training with modules_to_save) | Hi,
I’m trying to perform multi-stage LoRA fine-tuning under DeepSpeed ZeRO-3 using PEFT.
However, continuing training on an existing LoRA checkpoint without merging causes a series of errors and conflicts.
Problem
When I load the LoRA from Stage 1 and attempt to continue training:
• load_state_dict() throws shape ... | https://github.com/huggingface/peft/issues/2884 | closed | [] | 2025-10-31T20:13:12Z | 2025-12-09T15:05:26Z | null | XiangZhang-zx |
huggingface/lerobot | 2,351 | Details of adapting SmolVLA to other robotic arms with different configurations | I want to deploy the untuned `smolvla_base` model directly onto my AgileX PIPER robotic arm.I ran into the following two issues along the way:
1. Missing normalization parameters in the metadata.
```
File "/home/zwt/miniconda3/envs/lerobot/lib/python3.10/site-packages/torch/utils/_contextlib.py", line 116, in decorate... | https://github.com/huggingface/lerobot/issues/2351 | closed | [
"question",
"policies"
] | 2025-10-31T14:55:35Z | 2025-12-14T14:47:04Z | null | yquanli |
vllm-project/vllm | 27,880 | [Installation]: [HELP]How to install the latest main version of vllm | ### Your current environment
I clone the vllm code, and run install commands, but it fails, Help!!
### How you are installing vllm
```sh
VLLM_USE_PRECOMPILED=1 uv pip install --editable .
Using Python 3.10.12 environment at: /home/alice/.venv
× No solution found when resolving dependencies:
╰─▶ Because there is ... | https://github.com/vllm-project/vllm/issues/27880 | closed | [
"installation"
] | 2025-10-31T13:57:20Z | 2025-11-13T07:25:13Z | 7 | sleepwalker2017 |
vllm-project/vllm | 27,877 | [Usage]: How to install nightly version??? Why this command doesn't work? | ### Your current environment
I run this to install vllm with the latest code. But, the installed vllm doesn't include the code I need.
I check the `siglip.py` file, it's modified 4 days ago.
But in the vllm installed, it doesn't contain this commit! https://github.com/vllm-project/vllm/pull/27566/files#diff-ca771... | https://github.com/vllm-project/vllm/issues/27877 | open | [
"usage"
] | 2025-10-31T12:29:51Z | 2025-10-31T12:38:19Z | 0 | sleepwalker2017 |
vllm-project/vllm | 27,875 | [Usage]: how to get profiler on OpenAI server | ### Your current environment
```text
INFO 10-31 10:27:06 [importing.py:17] Triton not installed or not compatible; certain GPU-related functions will not be available.
WARNING 10-31 10:27:06 [importing.py:29] Triton is not installed. Using dummy decorators. Install it via `pip install triton` to enable kernel compilat... | https://github.com/vllm-project/vllm/issues/27875 | closed | [
"usage"
] | 2025-10-31T10:33:49Z | 2025-10-31T14:38:04Z | 1 | zhaohaixu |
vllm-project/vllm | 27,872 | [Feature]: AFD support load customer connect model from local path. | ### 🚀 The feature, motivation and pitch
Add `afd_connector_module_path` field in AFDConfig, user can implement customer afd connect, but don't need change vllm code.
https://github.com/vllm-project/vllm/pull/25162 merge after.
### Alternatives
_No response_
### Additional context
_No response_
### Before subm... | https://github.com/vllm-project/vllm/issues/27872 | open | [
"feature request"
] | 2025-10-31T09:08:50Z | 2025-12-08T03:32:33Z | 1 | lengrongfu |
huggingface/trl | 4,413 | What is the default value of num_processes? | Based on the documentation on page docs/source/grpo_trainer.md, num_processes is used but nowhere does the documentation define what num_processes is or what is its default value. | https://github.com/huggingface/trl/issues/4413 | closed | [
"📚 documentation",
"❓ question",
"🏋 GRPO"
] | 2025-10-31T05:01:23Z | 2025-10-31T17:31:33Z | null | thisisraghavkumar |
huggingface/diffusers | 12,564 | [Proposals Welcome] Fal Flashpack integration for faster model loading | Hey! 👋
We've had a request to explore integrating Fal's Flashpack for faster DiT and Text Encoder loading (https://github.com/huggingface/diffusers/issues/12550). Before we jump into implementation, we wanted to open this up to the community to gather ideas and hear from anyone who's experimented with this.
We'd lov... | https://github.com/huggingface/diffusers/issues/12564 | open | [
"help wanted",
"contributions-welcome"
] | 2025-10-31T02:25:55Z | 2025-10-31T12:26:13Z | 2 | yiyixuxu |
vllm-project/vllm | 27,832 | [RFC]: Remap `CompilationConfig` from `-O` to `-cc` in CLI | ### Motivation.
With #20283 (and #26847), we're repurposing `-O0`/`-O1`/`-O2`/`-O3` to map to `optimization_level` instead of `CompilationConfig.level`/`CompilationConfig.mode`. This leaves us in a slightly confusing state where `-O` can refer to optimization level or compilation config depending on what follows it:
-... | https://github.com/vllm-project/vllm/issues/27832 | closed | [
"help wanted",
"good first issue",
"RFC",
"torch.compile"
] | 2025-10-30T20:29:31Z | 2025-11-28T21:51:13Z | 3 | ProExpertProg |
huggingface/trl | 4,407 | Complete paper index | These are the papers mentioned at least one in the codebase.
- [ ] https://huggingface.co/papers/1707.06347
- [x] https://huggingface.co/papers/1909.08593 (only mentioned in notebook, no need to have in paper index)
- [x] https://huggingface.co/papers/1910.02054 #4551
- [ ] https://huggingface.co/papers/1910.10683
- [... | https://github.com/huggingface/trl/issues/4407 | open | [
"📚 documentation"
] | 2025-10-30T20:23:26Z | 2025-12-24T05:50:21Z | 4 | qgallouedec |
vllm-project/vllm | 27,830 | [Usage]: GPS OSS 120b on L40S (Ada) | ### Your current environment
(Just a general question)
### How would you like to use vllm
I want to run inference of a GPT OSS 120b with multiple L40S. I read the [docs](https://docs.vllm.ai/projects/recipes/en/latest/OpenAI/GPT-OSS.html) as it clearly says it is not natively supported yet. After I had no success w... | https://github.com/vllm-project/vllm/issues/27830 | closed | [
"usage"
] | 2025-10-30T20:07:42Z | 2025-11-17T12:46:43Z | 6 | Hansehart |
vllm-project/vllm | 27,823 | [Doc]: Multi-node distributed guide issues | ### 📚 The doc issue
For context, see a recent issue (https://github.com/ROCm/ROCm/issues/5567) where a user was trying to set up distributed inference with `ray` by following guidance at https://docs.vllm.ai/en/v0.8.0/serving/distributed_serving.html#running-vllm-on-multiple-nodes. I ran into several issues setting t... | https://github.com/vllm-project/vllm/issues/27823 | open | [
"documentation"
] | 2025-10-30T18:33:04Z | 2025-10-30T18:33:04Z | 0 | schung-amd |
huggingface/trl | 4,399 | Update or remove some of the notebooks | I suspect these notebooks to be outdated, if so they should be either updated or removed.
- gpt2-sentiment-control.ipynb
- best_of_n.ipynb
- gpt2-sentiment.ipynb | https://github.com/huggingface/trl/issues/4399 | closed | [
"📚 documentation"
] | 2025-10-30T15:34:36Z | 2025-11-04T23:52:50Z | 0 | qgallouedec |
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