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 | 28,246 | [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 |
pytorch/pytorch | 167,242 | CUDNN version in nightly pytorch 2.10.0 builds | Hi, I mainly use pytorch with ComfyUI. I know there is an issue with pytorch and CUDNN for which there have been made workarounds in ComfyUI code.
I have seen here https://github.com/pytorch/pytorch/issues/166122 that CUDNN 9.15 solves the problem (from I can understand, as I'm not a developer). Checking today's torch... | https://github.com/pytorch/pytorch/issues/167242 | open | [
"module: binaries",
"module: cudnn",
"triaged"
] | 2025-11-06T20:16:08Z | 2025-11-30T16:25:21Z | 13 | jovan2009 |
pytorch/ao | 3,305 | [MXFP8 MoE] What's the expected inference solution on H100s, after training with TorchAO MXFP8 MoE? | Hi team,
Thanks for your great implementation of the new MXFP8 MoE! I have integrated it and consider to use it for prod training.
But I got a concern about how to do inference.
MXFP8 is only available on B200. What is the expected inference solution on H100 or even non-Nvidia GPUs after training with MXFP8. Other qu... | https://github.com/pytorch/ao/issues/3305 | open | [
"question",
"mx",
"moe"
] | 2025-11-06T18:45:31Z | 2025-11-07T19:20:18Z | null | goldhuang |
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 |
pytorch/pytorch | 167,219 | Are there limitations to dtensor's registration strategy? | I have a IR schema like this
func: my_scatter_add(Tensor x, Tensor(a!) y, Tensor index, Tensor? scale=None, bool use_high_prec=False) -> ()
This function has no return value, and the second parameter is an in-place parameter
I tried the `register_sharding` method described in the Dtensor documentation. However, it thre... | https://github.com/pytorch/pytorch/issues/167219 | open | [
"oncall: distributed",
"module: dtensor"
] | 2025-11-06T14:50:40Z | 2025-11-11T13:37:24Z | 4 | Bin1024 |
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 |
pytorch/pytorch | 167,186 | scripts/build_android.sh missing | ### 🐛 Build scripts for android deleted, README outdated
I was trying to build pytorch v2.9.0 for android, but it seems build_android.sh script was deleted. Is there any reason why it was deleted?
The odd thing is that https://github.com/pytorch/pytorch/blob/v2.9.0/android/README.md
references bash ./scripts/build_p... | https://github.com/pytorch/pytorch/issues/167186 | closed | [
"triaged",
"oncall: mobile"
] | 2025-11-06T04:15:16Z | 2025-11-07T00:56:14Z | 1 | ppavacic |
pytorch/torchtitan | 1,998 | [Documentation] [BE] Add docs for MXFP8 training on Blackwell | We have [float8](https://github.com/pytorch/torchtitan/blob/main/docs/float8.md) docs, we should add mxfp8 docs as well, especially since we have a public blog post on accelerating training with torchtitan mxfp8 training: https://pytorch.org/blog/accelerating-2k-scale-pre-training-up-to-1-28x-with-torchao-mxfp8-and-tor... | https://github.com/pytorch/torchtitan/issues/1998 | closed | [
"documentation"
] | 2025-11-06T02:53:06Z | 2025-12-03T21:54:51Z | 0 | danielvegamyhre |
pytorch/pytorch | 167,172 | [Profiler][XPU] Is there a miss? | Found something:
https://github.com/pytorch/pytorch/blob/943227f57bcd638ab288331442748769f907d8c1/torch/csrc/autograd/init.cpp#L390-L419
Is the XPU code should also be in the #if branch? Seems the XPU depends on macro `LIBKINETO_NOXPUPTI`?
Hmmmm, or the #if control misses the `|| !defined(LIBKINETO_NOXPUPTI)` also?
No... | https://github.com/pytorch/pytorch/issues/167172 | closed | [
"triaged",
"module: xpu"
] | 2025-11-06T02:15:45Z | 2025-11-19T05:42:57Z | 1 | KarhouTam |
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 |
pytorch/pytorch | 167,118 | [CI][CUDA][B200] Why does job keep encountering "No devices were found" while "nvidia-smi" on bare-metal returns normal results | ### 🐛 Describe the bug
JOB link: https://github.com/pytorch/pytorch/actions/runs/19096449521/job/54559623146
Runner/user: dgxb200-08-1003
Nvidia-smi output when logged on the machine:
<img width="673" height="560" alt="Image" src="https://github.com/user-attachments/assets/28d124a2-3a4e-408a-8301-4437b2541af5" /... | https://github.com/pytorch/pytorch/issues/167118 | closed | [
"high priority",
"triage review"
] | 2025-11-05T20:06:16Z | 2025-11-10T17:16:16Z | 4 | nWEIdia |
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 |
pytorch/ao | 3,295 | Examples of using llms with PT2E workflow? | Are there examples of using llms with PT2E workflow? I'm interested in static quantization using qwen3 . | https://github.com/pytorch/ao/issues/3295 | closed | [
"triaged"
] | 2025-11-05T18:33:13Z | 2025-12-05T01:12:56Z | 3 | cjm715 |
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 |
pytorch/pytorch | 167,062 | How to use torch.compile on Windows GPU? | ### 🐛 Describe the bug
I have installed Python 3.13.9 and PyTorch 2.9+cuda3.13
pip3 install torch torchvision --index-url https://download.pytorch.org/whl/cu130,
And my GPU is RTX 380 12 GB. I have Windows 11
I followed up on those steps
- MSVC v143 - VS 2022 C++ x64/x86 build tools
- Windows 11 SDK
- C++ CMake to... | https://github.com/pytorch/pytorch/issues/167062 | open | [
"module: windows",
"triaged",
"oncall: pt2"
] | 2025-11-05T09:04:27Z | 2025-11-11T18:16:46Z | null | emadyounan |
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 |
pytorch/pytorch | 167,042 | Requesting Cuda 13 support | ### 🚀 The feature, motivation and pitch
Hi! I am trying to run Torch with GPU support. I am running on Windows, with CUDA toolkit 13 installed, and the latest nvidia drivers. `torch.cuda.is_available()` is showing as False. Is it safe to assume this is because it needs CUDA 12?
I'm brand new to Torch, but do a bit o... | https://github.com/pytorch/pytorch/issues/167042 | closed | [] | 2025-11-05T01:41:01Z | 2025-11-05T01:51:37Z | 1 | David-OConnor |
pytorch/pytorch | 167,027 | combine compiled vectorized function without recompiling already compiled part | ### 🚀 The feature, motivation and pitch
The nice thing of `torch.compile` is that it fuses the vectorized operations and avoid big intermediate tensors. For example, if I have
```
def func(x):
y = f1(x)
z = f2(y)
return z
```
After `torch.compile` it becomes something like
```
for(int i=0;i<len(x);i++) {
... | https://github.com/pytorch/pytorch/issues/167027 | open | [
"triaged",
"intel",
"oncall: pt2",
"module: inductor"
] | 2025-11-05T00:16:52Z | 2025-11-11T18:15:06Z | 1 | SUSYUSTC |
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 |
pytorch/torchtitan | 1,989 | Should MFU/tflops take tensor parallelism into account? | Right now model flops is computed before TP is applied. But TP changes the sizes of the matrices so I think the flops computation should be different as well? | https://github.com/pytorch/torchtitan/issues/1989 | open | [
"question"
] | 2025-11-04T16:51:12Z | 2025-11-05T00:04:49Z | null | chelsea0x3b |
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 |
pytorch/ao | 3,281 | [moe training] Update torchao docsite with MoE training docs | Currently the MoE training docs live in this [README](https://github.com/pytorch/ao/blob/main/torchao/prototype/moe_training/README.md).
To make the prototype more discoverable and usable, we should:
1. Update the the [docsite](https://docs.pytorch.org/ao/stable/index.html)
2. Update torchtitan docs with examples fo... | https://github.com/pytorch/ao/issues/3281 | open | [
"topic: documentation",
"moe"
] | 2025-11-03T18:34:01Z | 2025-11-03T18:34:10Z | 0 | danielvegamyhre |
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 |
pytorch/pytorch | 166,866 | ROCm failures during provisioning step due to network issues | ## Current Status
Mitigated
MI250 Cirrascale cluster had a network outage causing jobs to fail
## Error looks like
Error during Set up job:
```
Download action repository 'pytorch/pytorch@main' (SHA:335b5c7d4bf3295d517902370142f007ca024cd0)
Warning: Failed to download action 'https://api.github.com/repos/pytorch/pyto... | https://github.com/pytorch/pytorch/issues/166866 | closed | [
"module: rocm",
"ci: sev"
] | 2025-11-03T15:57:42Z | 2025-11-04T23:54:15Z | 5 | atalman |
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 |
pytorch/torchtitan | 1,979 | question of PP x aux_loss for MoE |
In short, does PP allow multiple-args input and multiple-args output?
——
Hey, we’ve been stuck for a while on how to properly integrate aux loss for MoE training with PP and compile(full_graph).
For context, both DeepSeek V3 and GLM 4.5 mention that
> “We also applied an auxiliary sequence-level balance loss with ... | https://github.com/pytorch/torchtitan/issues/1979 | open | [] | 2025-11-03T13:37:44Z | 2025-11-20T02:22:30Z | 13 | rakkit |
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 |
pytorch/pytorch | 166,802 | add ability to automatically set `set_per_process_memory_fraction` using env variable | ### 🚀 The feature, motivation and pitch
Hi,
In multi-user / multi-tenant GPU environments (e.g., Slurm clusters, Kubernetes GPU slicing, or MPS-based sharing), it is often desirable to constrain the GPU memory usage of a process externally, without modifying the application code.
Currently, torch.cuda.set_per_proces... | https://github.com/pytorch/pytorch/issues/166802 | closed | [
"module: cuda",
"module: memory usage",
"triaged"
] | 2025-11-01T19:22:40Z | 2025-11-07T16:58:15Z | 4 | orena1 |
pytorch/pytorch | 166,796 | [ROCm][CI] Machines under the label linux.rocm.gpu.2, label linux.rocm.gpu.4, linux.rocm.gpu.gfx1100 are undergoing maintenance. | > NOTE: Remember to label this issue with "`ci: sev`"
> If you want autorevert to be disabled, keep the ci: disable-autorevert label
<!-- Add the `merge blocking` label to this PR to prevent PRs from being merged while this issue is open -->
## Current Status
*Status could be: preemptive, ongoing, mitigated, c... | https://github.com/pytorch/pytorch/issues/166796 | closed | [
"module: rocm",
"ci: sev"
] | 2025-11-01T14:59:52Z | 2025-11-03T11:04:50Z | 0 | amdfaa |
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 |
pytorch/ao | 3,274 | Proposal to add a beginner-friendly introduction tutorial for TorchAO | Hello TorchAO community,
I would like to contribute a beginner-friendly notebook tutorial that introduces TorchAO to users who are new to model optimization and to TorchAO (or even PyTorch in general).
As someone coming from a different background with limited experience in quantization and model optimization, I foun... | https://github.com/pytorch/ao/issues/3274 | open | [
"topic: documentation"
] | 2025-11-01T07:47:08Z | 2025-11-04T04:25:26Z | 2 | smishra8 |
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 |
pytorch/torchtitan | 1,977 | Why is the ep mesh derived from a factoring of the dp mesh, instead of its own dimension? | I see that the data parallel shard dimension is factored into two dimensions, `dp_shard_mod_ep` and `dp_shard_in_ep`.
The experts use `dp_shard_mod_ep` submesh for FSDP while the rest of the blocks use the regular `dp_shard_cp` submesh. Why can't the experts use FSDP on the regular `dp_mesh`? The reason for this is un... | https://github.com/pytorch/torchtitan/issues/1977 | open | [
"question"
] | 2025-11-01T02:07:24Z | 2025-12-02T01:34:16Z | null | man2machine |
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 |
pytorch/ao | 3,270 | [DOCS] Quick Start Guide PT2E Example does not work as is. Undefined objects | PT2E example in quick start guide does not work as is. Many undefined objects. No import for `convert_pt2e` and `example_inputs` is not defined for example. Also some indentation issues.
See:
https://docs.pytorch.org/ao/0.13/quick_start.html#pytorch-2-export-quantization | https://github.com/pytorch/ao/issues/3270 | open | [
"topic: documentation",
"triaged"
] | 2025-10-31T18:46:28Z | 2025-12-05T01:14:53Z | 1 | cjm715 |
pytorch/pytorch | 166,736 | Aarch64 unit test failures from nightly/manylinux build, jammy upgrade to gcc13 needed | ### 🐛 Describe the bug
We have noticed 2 test failures on AArch64 ( neoverse-v2 / c8g ) which are not happening in https://github.com/pytorch/pytorch/actions/workflows/linux-aarch64.yml
```
Mismatched elements: 1 / 513 (0.2%)
Greatest absolute difference: 253 at index (512,)
Greatest relative difference: 1.0 at inde... | https://github.com/pytorch/pytorch/issues/166736 | closed | [
"module: binaries",
"module: ci",
"triaged",
"module: arm"
] | 2025-10-31T17:25:47Z | 2025-12-09T20:47:45Z | 11 | robert-hardwick |
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 |
pytorch/pytorch | 166,721 | Reference cycle in PyCodegen keeps tensors alive longer than necessary leading to OOM issues | ### 🐛 Describe the bug
PR with fix: https://github.com/pytorch/pytorch/pull/166714
Recursive function call creates a reference cycle: closure <- function <- cell inside closure
Capturing self (PyCodegen instance) in same closure prolongs it's life until next gc.collect() which might result in worse resource manageme... | https://github.com/pytorch/pytorch/issues/166721 | closed | [
"triaged",
"oncall: pt2",
"module: dynamo"
] | 2025-10-31T12:02:30Z | 2025-11-07T17:52:57Z | 1 | jwieczorekhabana |
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 |
huggingface/trl | 4,397 | Remove or move Multi Adapter RL | I don't think this make sense to have this as a whole section in the doc. Either remove it or update and move it to PEFT integration | https://github.com/huggingface/trl/issues/4397 | closed | [
"📚 documentation",
"⚡ PEFT"
] | 2025-10-30T15:12:58Z | 2025-11-04T23:57:56Z | 0 | qgallouedec |
pytorch/pytorch | 166,633 | Command '['ninja', '-v']' returned non-zero exit status 255. | ### 🐛 Describe the bug
I'm not sure it's linked to this warning message #[166580](https://github.com/pytorch/pytorch/issues/166580) and if it's a bug or how to correct it
```
ptxas info : Used 128 registers, used 16 barriers, 104 bytes cumulative stack size
ptxas info : Compile time = 486.393 ms
ptxas info ... | https://github.com/pytorch/pytorch/issues/166633 | open | [
"needs reproduction",
"module: cpp-extensions",
"module: cuda",
"triaged"
] | 2025-10-30T11:07:43Z | 2025-12-31T18:42:43Z | 2 | christopher5106 |
pytorch/torchtitan | 1,968 | Avoiding device-to-host sync for input/output split sizes in expert parallel | I want to use the torchtitan code for a different MoE model, and I saw that if EP is used, then for FSDP, the module prefetching for forward and backward has to be manually set. This would be quite cumbersome as more models are used, and there would not be an easy standard way to do EP + FSDP.
I looked through the cod... | https://github.com/pytorch/torchtitan/issues/1968 | closed | [
"question"
] | 2025-10-30T10:00:34Z | 2025-11-12T22:29:19Z | null | man2machine |
huggingface/transformers | 41,948 | Does Qwen2VLImageProcessor treat two consecutive images as one group/feature? | When looking at Qwen3-VL model's image processor (which uses Qwen2-VL's one), I found the following lines of code hard to understand.
`L296-300` checks the number of input images (`patches.shape[0]`), and repeat the last one to make it divisible by `temporal_patch_size`.
This make the model processes two consecutive i... | https://github.com/huggingface/transformers/issues/41948 | closed | [] | 2025-10-30T09:23:50Z | 2025-10-31T01:01:09Z | 3 | priancho |
huggingface/transformers | 41,947 | why Smolvlm-256M-Instruct slower then Internvl-v2-1B ? | As title, Smolvlm have smaller model size (1/4 less matrix multiplication), smaller input embedding. But, both torch.CudaEvent, timer.perf_counter with torch.sync report the slower inference time ?
I wonder that does this related with the wrong implementation of Smolvlm in transformers ?
inference performance comparis... | https://github.com/huggingface/transformers/issues/41947 | closed | [] | 2025-10-30T08:10:28Z | 2025-10-31T11:47:44Z | 4 | HuangChiEn |
huggingface/trl | 4,386 | Reference supported trainers in Liger Kernel integration guide | Currently, we only have an example with SFT, and it's hard to know which trainer supports liger. We should list the trainer which support liger. | https://github.com/huggingface/trl/issues/4386 | closed | [
"📚 documentation",
"🏋 SFT"
] | 2025-10-30T04:08:04Z | 2025-11-03T18:16:04Z | 0 | qgallouedec |
huggingface/trl | 4,385 | Use a common 'trl-lib` namespace for the models/datasets/spaces | In the doc, we have examples using different namespaces, like `kashif/stack-llama-2`, `edbeeching/gpt-neo-125M-imdb` etc. we should unify all these examples to use a common `trl-lib` namespace. | https://github.com/huggingface/trl/issues/4385 | open | [
"📚 documentation",
"✨ enhancement"
] | 2025-10-30T04:04:10Z | 2025-10-30T04:04:38Z | 0 | qgallouedec |
huggingface/trl | 4,384 | Write the subsection "Multi-Node Training" | This section must be written, with a simple code example, and a link to the `accelerate` documentation | https://github.com/huggingface/trl/issues/4384 | open | [
"📚 documentation",
"⚡accelerate"
] | 2025-10-30T03:57:53Z | 2025-12-08T16:23:23Z | 2 | qgallouedec |
huggingface/trl | 4,383 | Add PEFT subsection to "Reducing Memory Usage" | PEFT is a major technique to reduce memory usage of the training. We should have a small section pointing to the PEFT integration guide | https://github.com/huggingface/trl/issues/4383 | closed | [
"📚 documentation",
"✨ enhancement",
"⚡ PEFT"
] | 2025-10-30T03:55:55Z | 2025-11-07T00:03:01Z | 0 | qgallouedec |
huggingface/trl | 4,382 | Populate "Speeding Up Training" | Currently, this section only mentions vLLM. We should have a small guide for other methods, like flash attention.
Ideally, to avoid repetition, we should have a very light example, and a link to the place in the doc where it's more extensively discussed, example vLLM pointing to vLLM integration guide | https://github.com/huggingface/trl/issues/4382 | closed | [
"📚 documentation",
"⚡accelerate"
] | 2025-10-30T03:54:34Z | 2025-12-01T09:47:23Z | 0 | qgallouedec |
huggingface/trl | 4,380 | Fully transition from `flash-attn` to `kernels` | The new recommended way to use flash attention is to use kernels. We should update our tests, and documentation to use `kernels` instead of "flash_attention2". Eg
https://github.com/huggingface/trl/blob/1eb561c3e9133892a2e907d84123b46e40cbc5a0/docs/source/reducing_memory_usage.md#L149
```diff
- training_args = DPOCon... | https://github.com/huggingface/trl/issues/4380 | closed | [
"📚 documentation",
"✨ enhancement"
] | 2025-10-30T03:46:07Z | 2025-11-13T04:07:35Z | 0 | qgallouedec |
huggingface/trl | 4,379 | Remove or populate "Training customization" | Currently, this part of the documentation shows some possible customizations that applies to all trainers https://huggingface.co/docs/trl/main/en/customization
However, it only features a few examples. This sections would make sense if it gets populated with other customizations, or removed. This thread can be used to... | https://github.com/huggingface/trl/issues/4379 | closed | [
"📚 documentation"
] | 2025-10-30T03:41:02Z | 2025-12-01T09:39:09Z | 0 | qgallouedec |
huggingface/trl | 4,378 | Extend basic usage example to all supported CLIs | currently https://huggingface.co/docs/trl/main/en/clis?command_line=Reward#basic-usage shows only basic example usage for SFT, DPO and Reward. We should have it for all supported CLIs (ie, GRPO, RLOO, KTO) | https://github.com/huggingface/trl/issues/4378 | closed | [
"📚 documentation",
"🏋 KTO",
"🏋 RLOO",
"📱 cli",
"🏋 GRPO"
] | 2025-10-30T03:35:36Z | 2025-11-14T01:13:17Z | 0 | qgallouedec |
vllm-project/vllm | 27,783 | [Usage]: Model performance different from api | ### Your current environment
```text
vllm==0.10.0
```
### How would you like to use vllm
I'm running model Qwen3-8B with vllm. I also run the same experiment using Qwen3-8B api. But I find the result is quite different, the accuracy of api-model on my task is much higher than the vllm-model. I use the same temperat... | https://github.com/vllm-project/vllm/issues/27783 | open | [
"usage"
] | 2025-10-30T03:30:02Z | 2025-10-30T03:30:02Z | 0 | fny21 |
vllm-project/vllm | 27,782 | [Usage]: The same configuration v0.11.0 will report insufficient video memory compared to v0.8.5 | ### Your current environment
```text
The output of `python collect_env.py`
```
### How would you like to use vllm
The server is a 4090 with 4 cards
Docker runs vllm openai: v0.8.5 deployment command: "command: --model /models/Qwen3/Qwen3-30B-A3B --enable-reasoning --reasoning-parser deepseek_r1 --tensor_parallel_s... | https://github.com/vllm-project/vllm/issues/27782 | open | [
"usage"
] | 2025-10-30T03:24:54Z | 2025-11-06T06:53:15Z | 2 | lan-qh |
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