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 |
|---|---|---|---|---|---|---|---|---|---|---|
huggingface/alignment-handbook | 215 | Use alignment-handbook on Apple Silicon | Hi, is it possible to install and use this tool on Apple Silicon? I am aware that certain dependencies, such as Flash Attention, do not work on Apple Silicon. Has anyone tried and successfully installed this tool without those dependencies? | https://github.com/huggingface/alignment-handbook/issues/215 | closed | [] | 2025-04-11T01:28:02Z | 2025-04-27T01:09:55Z | 0 | minhquoc0712 |
huggingface/lerobot | 968 | 没有物理机器人我如何进行仿真机器人，我应该如何学习 | 没有物理机器人我如何进行仿真机器人，我应该如何学习仿真机器人呢，有没有好的推荐吗 | https://github.com/huggingface/lerobot/issues/968 | closed | [
"question",
"simulation"
] | 2025-04-10T18:10:47Z | 2025-10-08T12:54:19Z | null | harryhu0301 |
huggingface/diffusers | 11,285 | value errors in convert to/from diffusers from original stable diffusion | ### Describe the bug
There's a hardcode somewhere for 77 tokens, when it should be using the dimensions of what is actually in the model.
I have a diffusers-layout SD1.5 model, with LongCLIP.
https://huggingface.co/opendiffusionai/xllsd-alpha0
I can pull it locally, then convert to single file format, with
python ... | https://github.com/huggingface/diffusers/issues/11285 | open | [
"bug"
] | 2025-04-10T17:16:42Z | 2025-05-12T15:03:03Z | 2 | ppbrown |
huggingface/diffusers | 11,272 | what is the difference between from diffusion import *** and from diffusers import ***? | I have installed diffusers and it runs ok, however the code gets wrong with " no module named diffusion "
when goes to from diffusion import ***?
What is the difference between from diffusion import *** and from diffusers import ***?
Need I install them all and what is the difference between diffusion and diffusers? | https://github.com/huggingface/diffusers/issues/11272 | closed | [] | 2025-04-10T05:11:56Z | 2025-04-30T02:11:51Z | null | micklexqg |
huggingface/inference-benchmarker | 11 | How to set the OPENAI_API_KEY? | There is no api_key param for inference-benchmarker. How to set the OPENAI_API_KEY?
Thanks~
code there:
https://github.com/huggingface/inference-benchmarker/blob/d91a0162bdfe318fe95b9a9bbb53b1bdc39194a9/src/requests.rs#L145C1-L153C36
```bash
root@P8757303A244:/opt/inference-benchmarker# inference-benchmarker -h
Usage... | https://github.com/huggingface/inference-benchmarker/issues/11 | closed | [] | 2025-04-10T04:36:11Z | 2025-04-25T13:13:18Z | null | handsome-chips |
huggingface/transformers | 37,408 | How to solve the error of converting Qwen onnx_model to tensorRT_model? | ### **1. The transformers' Qwen ONNX model has been exported successfully.**
### **2. Convert ONNX_model to tensorRT_model failed by trtexec.**
**error info**
```
[04/10/2025-11:04:52] [E] Error[3]: IExecutionContext::setInputShape: Error Code 3: API Usage Error (Parameter check failed, condition: engineDims.d[i] ==... | https://github.com/huggingface/transformers/issues/37408 | closed | [] | 2025-04-10T04:08:47Z | 2025-06-28T08:03:06Z | null | dearwind153 |
pytorch/pytorch | 150,967 | [MPS] `where`: silent incorrectness when cond is not contiguous | ### 🐛 Describe the bug
```python
device = "mps"
diff = torch.tensor([[True, True], [True, True]], dtype=torch.bool)
diff = diff.T
target = torch.tensor([[0, 0], [0, 1]])
rcpu = torch.where(diff, target, 0)
diffmps = diff.to(device)
targetmps = target.to(device)
rmps = torch.where(diffmps, targetmps, 0)
print(rc... | https://github.com/pytorch/pytorch/issues/150967 | closed | [
"triaged",
"module: correctness (silent)",
"module: mps"
] | 2025-04-09T23:13:38Z | 2025-04-13T20:44:52Z | null | qqaatw |
pytorch/torchtitan | 1,081 | Torch.compile and TP during multiresolution Training | is it correct to assume that we should only enable torch.compile in single resolution training or when we have the same sequence lengths to avoid recompiles and slow down? | https://github.com/pytorch/torchtitan/issues/1081 | open | [
"question",
"module: torch.compile"
] | 2025-04-09T18:08:41Z | 2025-04-10T15:05:57Z | null | nighting0le01 |
huggingface/lerobot | 964 | RuntimeError: Could not load libtorchcodec during lerobot/scripts/train.py script | ### System Info
```Shell
- `lerobot` version: 0.1.0
- Platform: Linux-6.8.0-57-generic-x86_64-with-glibc2.35
- Python version: 3.10.13
- Huggingface_hub version: 0.29.3
- Dataset version: 3.4.1
- Numpy version: 1.26.4
- PyTorch version (GPU?): 2.5.1+cu124 (True)
- Cuda version: 12040
Additionally:
ffmpeg version :... | https://github.com/huggingface/lerobot/issues/964 | closed | [
"question"
] | 2025-04-09T14:25:38Z | 2025-04-15T13:32:24Z | null | shrutichakraborty |
huggingface/transformers | 37,390 | how to reduce original model's tokenizer vocabulary | `###` Feature request
I am working on model distillation. I am currently using the nllb-distilled-600M model, but the parameters of this model are still too large, and the vocabulary supports more than 100 languages. My use case is single language translation, such as English to Hebrew. Therefore, I need to reduce the... | https://github.com/huggingface/transformers/issues/37390 | open | [
"Feature request"
] | 2025-04-09T10:45:56Z | 2025-04-09T10:53:07Z | null | masterwang22327 |
huggingface/datasets | 7,506 | HfHubHTTPError: 429 Client Error: Too Many Requests for URL when trying to access Fineweb-10BT on 4A100 GPUs using SLURM | ### Describe the bug
I am trying to run some finetunings on 4 A100 GPUs using SLURM using axolotl training framework which in turn uses Huggingface's Trainer and Accelerate on [Fineweb-10BT](https://huggingface.co/datasets/HuggingFaceFW/fineweb), but I end up running into 429 Client Error: Too Many Requests for URL er... | https://github.com/huggingface/datasets/issues/7506 | open | [] | 2025-04-09T06:32:04Z | 2025-06-29T06:04:59Z | 2 | calvintanama |
huggingface/lerobot | 960 | pi0-fintune-performance | I have been fine-tuning the provided pi0-base model on my dataset using LeRobot. After training for 100,000 steps, I found that the model performs well on tasks that appeared in my dataset, but its performance on unseen tasks is very poor. It seems to lack the generalization ability of a VLA model. Is this phenomenon n... | https://github.com/huggingface/lerobot/issues/960 | closed | [
"question",
"policies"
] | 2025-04-09T01:21:12Z | 2025-10-08T08:43:22Z | null | yanghb1 |
pytorch/pytorch | 150,891 | [ONNX] How to export Llama4 | ### 🐛 Describe the bug
I am trying to do an onnx export for the Llama 4 Scout model but it fails saying:
`RuntimeError: Only tuples, lists and Variables are supported as JIT inputs/outputs. Dictionaries and strings are also accepted, but their usage is not recommended. Here, received an input of unsupported type: Dyn... | https://github.com/pytorch/pytorch/issues/150891 | closed | [
"module: onnx",
"triaged"
] | 2025-04-09T00:11:49Z | 2025-11-13T10:13:08Z | null | srijanie03 |
huggingface/lerobot | 956 | pi0 multi gps train | if i have multi 4090, how to modify to train pi0?
only 1 4090 just error
 | https://github.com/huggingface/lerobot/issues/956 | closed | [
"question"
] | 2025-04-08T13:06:27Z | 2025-11-20T03:07:56Z | null | ximiluuuu |
huggingface/transformers | 37,364 | How to find a specific func doc when using transformers doc? | ### Feature request
Better UX for doc
### Motivation
The search and UI layout make it so hard to find a func doc, especially when there are so many func doc in one webpage and your just can not find what you want by web page search.
### Your contribution
no, right now | https://github.com/huggingface/transformers/issues/37364 | open | [
"Feature request"
] | 2025-04-08T10:48:04Z | 2025-09-15T19:16:35Z | null | habaohaba |
huggingface/open-r1 | 586 | what is next for this project? | https://github.com/huggingface/open-r1/issues/586 | open | [] | 2025-04-07T21:29:54Z | 2025-04-07T21:29:54Z | null | Mnaik2 | |
pytorch/xla | 8,948 | Torch-XLA not compatible with static python | ## ❓ Questions and Help
I am trying to use Torch-XLA v2.3.0 but it fails with:
```
line 7, in <module>
import _XLAC
ImportError: libpython3.10.so.1.0: cannot open shared object file: No such file or directory
```
I noticed this message [here](https://github.com/pytorch/xla/blob/9e23ca853331aa229dcdba2473d20ca5af2d... | https://github.com/pytorch/xla/issues/8948 | open | [
"question"
] | 2025-04-07T18:25:43Z | 2025-04-23T14:32:47Z | null | drewjenks01 |
huggingface/lerobot | 949 | Optional deps in using LeRobot as am optional package | Hi, we are working on enabling LeRobot dataset generation in [IsaacLab](https://github.com/isaac-sim/IsaacLab), such that developers could create data with IsaacLab data generation workflow and use it in their robot learning models.
The asks are,
1. Is there any scheduled release, such that downstream devs could ha... | https://github.com/huggingface/lerobot/issues/949 | closed | [
"question",
"dataset",
"simulation",
"stale"
] | 2025-04-07T16:55:48Z | 2025-10-21T02:29:27Z | null | xyao-nv |
huggingface/datasets | 7,502 | `load_dataset` of size 40GB creates a cache of >720GB | Hi there,
I am trying to load a dataset from the Hugging Face Hub and split it into train and validation splits. Somehow, when I try to do it with `load_dataset`, it exhausts my disk quota. So, I tried manually downloading the parquet files from the hub and loading them as follows:
```python
ds = DatasetDict(
... | https://github.com/huggingface/datasets/issues/7502 | closed | [] | 2025-04-07T16:52:34Z | 2025-04-15T15:22:12Z | 2 | pietrolesci |
huggingface/trl | 3,254 | How to get completion_length? | I noticed that during GRPO training, `completion_length` is recorded. However, I found that it’s not simply obtained by `len(completion)`. How is this calculated—by tokens? Is it possible for me to access the `completion_length` for each sample?
| https://github.com/huggingface/trl/issues/3254 | open | [
"❓ question",
"🏋 GRPO"
] | 2025-04-07T15:02:04Z | 2025-04-11T03:10:20Z | null | Tuziking |
huggingface/diffusers | 11,220 | Unconditional image generation documentation page not working as expected | ### Describe the bug
When consulting the documentation for [unconditional image generation](https://huggingface.co/docs/diffusers/using-diffusers/unconditional_image_generation), the last embedded page seems to contain an error that blocks it from being shown (see image below). This is @stevhliu's model stored in [thi... | https://github.com/huggingface/diffusers/issues/11220 | closed | [
"bug"
] | 2025-04-07T10:32:45Z | 2025-04-08T08:47:18Z | 2 | alvaro-mazcu |
huggingface/transformers.js | 1,275 | How to use @xenova/transformers in a musl-based environment? | ### Question
Hi,
I encountered the following error when using @xenova/transformers:
```bash
Error: Error loading shared library ld-linux-x86-64.so.2: No such file or directory (needed by /app/node_modules/onnxruntime-node/bin/napi-v3/linux/x64//libonnxruntime.so.1.14.0)
```
After investigating the issue, I found tha... | https://github.com/huggingface/transformers.js/issues/1275 | closed | [
"question"
] | 2025-04-07T06:34:51Z | 2025-10-07T21:23:36Z | null | ezcolin2 |
huggingface/open-r1 | 583 | num_iterations in GRPOConfig does NOT DO what it is supposed to DO | Hi @qgallouedec and @lewtun
Thanks again for the amazing work ! I got the chance to try the v0.16.0 trl release in open-r1.
I was excited about num_iterations which was supposed to make the training 6 times faster. Simply one needs something like:
`training_args = GRPOConfig(..., num_iterations=4)
`
But I did not... | https://github.com/huggingface/open-r1/issues/583 | closed | [] | 2025-04-06T15:57:43Z | 2025-04-12T06:00:21Z | null | ahatamiz |
pytorch/pytorch | 150,741 | how to install pytorch with cuda 12.2 and py3.12 | ### 🐛 Describe the bug
I wanna know how to install pytorch with CUDA12.2
### Versions
I used the following command , and many issue occured
conda install pytorch torchvision torchaudio pytorch-cuda=12.1 -c pytorch -c nvidia | https://github.com/pytorch/pytorch/issues/150741 | closed | [] | 2025-04-06T14:33:59Z | 2025-04-07T14:34:48Z | null | goactiongo |
huggingface/agents-course | 412 | [QUESTION] - Dummy Agent Library | _---
Do you see the issue?
The answer was hallucinated by the model. We need to stop to actually execute the function! Let’s now stop on “Observation” so that we don’t hallucinate the actual function response.
---_
Can someone explain how the system is hallucinating in this example. I am kind of stuck on this. | https://github.com/huggingface/agents-course/issues/412 | open | [
"question"
] | 2025-04-06T09:44:14Z | 2025-04-06T09:44:14Z | null | NewTonDBA |
huggingface/lerobot | 940 | Possible mismatch in observations.state metadata in Libero datasets on Hugging Face | Hello,
I believe there might be a mistake in the Libero datasets hosted on huggingface/datasets.
Specifically, the issue is with the `observations.state` column. According to `meta/info.json`, the structure is described as:
```
"observation.state": {
"dtype": "float32",
"shape": [
8
],
"names"... | https://github.com/huggingface/lerobot/issues/940 | closed | [
"question",
"dataset",
"stale"
] | 2025-04-06T04:18:55Z | 2025-10-19T02:32:09Z | null | ozgraslan |
pytorch/data | 1,471 | torchdata or torchdata-contrib? | my team has been implementing quite several utilities. some are close to core features, some other are more advanced and utilities. for example, their class names and features are like:
```python
class RoundRobinNode(BaseNode[T]):
"""A node that cycles through multiple datasets in a round-robin way.
```
```pytho... | https://github.com/meta-pytorch/data/issues/1471 | open | [] | 2025-04-06T01:11:33Z | 2025-05-12T21:38:37Z | 2 | keunwoochoi |
pytorch/torchtitan | 1,058 | Issue of using fully_shard (FSDP2) for Huggingface model: Cannot copy out of meta tensor; no data! | Dear community,
Thanks for introducing FSDP2 to Pytorch. I am meeting with an issue using fully_shard for Huggingface model. Just want to know if you have any insights into this issue.
The code is inherited from [#743 ](https://github.com/pytorch/torchtitan/issues/743)
```
import os
import torch
from torch.distrib... | https://github.com/pytorch/torchtitan/issues/1058 | closed | [
"question",
"module: checkpoint",
"module: distributed_state_dict"
] | 2025-04-05T01:48:49Z | 2025-04-15T23:08:01Z | null | mingdianliu |
pytorch/xla | 8,940 | User built torch-xla wheel fails on import | ## ❓ Questions and Help
After following the build instructions in CONTRIBUTING.md, and then running `python setup.py bdist_wheel` inside of `pytorch/xla`, a wheel is generated for `torch-xla`
After installing that wheel in the environment of a different project this error appears upon import:
```
Traceback (most recen... | https://github.com/pytorch/xla/issues/8940 | closed | [
"question",
"build"
] | 2025-04-04T20:14:21Z | 2025-04-09T14:38:59Z | null | LPanosTT |
huggingface/diffusers | 11,208 | MultiControlNetModel is not supported for SD3ControlNetInpaintingPipeline | ### Describe the bug
When using `StableDiffusion3ControlNetInpaintingPipeline` with `SD3MultiControlNetModel`, I receive an error:
`NotImplementedError: MultiControlNetModel is not supported for SD3ControlNetInpaintingPipeline.`
### Reproduction
Example reproduction code:
```python
import os
import torch
from dif... | https://github.com/huggingface/diffusers/issues/11208 | open | [
"bug",
"help wanted",
"Good Example PR",
"contributions-welcome"
] | 2025-04-04T12:39:10Z | 2025-05-11T15:03:00Z | 5 | DanilaAniva |
pytorch/torchtitan | 1,055 | Is the currnet configuration system over-engineered? | It seems that a training job in TorchTitan is currently defined using a combination of TOML and Python.
When users launch a training job, they are expected to provide a TOML file that specifies the model.name:
https://github.com/pytorch/torchtitan/blob/351e9fb40fe345dd8a7fb3403881328b7cc0b21b/torchtitan/models/llama/... | https://github.com/pytorch/torchtitan/issues/1055 | open | [
"question"
] | 2025-04-03T22:46:39Z | 2025-04-04T01:21:27Z | null | wangkuiyi |
pytorch/torchtitan | 1,054 | Clarify PP split point documentation. | ### Bug description
The current documentation is as follows.
```
self.parser.add_argument(
"--parallelism.pipeline_parallel_split_points",
type=string_list,
nargs="+",
default=[],
help="""
Specify comma-separated names of modules to ... | https://github.com/pytorch/torchtitan/issues/1054 | closed | [
"question"
] | 2025-04-03T22:36:08Z | 2025-08-21T03:09:16Z | null | githubsgi |
huggingface/sentence-transformers | 3,308 | How to load locally saved transformer models into sentence transformer? | I’ve made some modifications to the NVEMBEDV2 model architecture and saved the updated version locally using `model.save_pretrained()`. However, when I try to wrap the saved model in a SentenceTransformer, I encounter a `KeyError: 'NVEmbedConfig'`.
I checked the documentation, and while loading pretrained models seems... | https://github.com/huggingface/sentence-transformers/issues/3308 | open | [] | 2025-04-03T15:11:20Z | 2025-04-08T15:48:26Z | null | samehkhattab |
pytorch/serve | 3,409 | Why Use TorchScript Format Models? | When customizing handler.py, we can load any format of model in the initialize function without needing to package the model into a .mar file. Why do the tutorials recommend converting the model to TorchScript format and packaging it together with handler.py into a .mar file? | https://github.com/pytorch/serve/issues/3409 | open | [] | 2025-04-03T09:00:11Z | 2025-04-03T09:00:11Z | 0 | CongSuxu |
huggingface/datasets | 7,497 | How to convert videos to images? | ### Feature request
Does someone know how to return the images from videos?
### Motivation
I am trying to use openpi(https://github.com/Physical-Intelligence/openpi) to finetune my Lerobot dataset(V2.0 and V2.1). I find that although the codedaset is v2.0, they are different. It seems like Lerobot V2.0 has two versi... | https://github.com/huggingface/datasets/issues/7497 | open | [
"enhancement"
] | 2025-04-03T07:08:39Z | 2025-04-15T12:35:15Z | null | Loki-Lu |
pytorch/torchtitan | 1,044 | How are the TP, CP, and PP marked in PyTorch profiler traces ? | How are TP, CP and PP labelled in PyTorch profiler traces ? FSDP appears to be clearly marked. | https://github.com/pytorch/torchtitan/issues/1044 | open | [] | 2025-04-02T22:27:30Z | 2025-04-03T18:04:41Z | 1 | githubsgi |
huggingface/blog | 2,781 | How to submit revised version of Arxiv paper (v2) to Daily Papers | I would like to submit a revised version (v2) of our arXiv paper to Daily Papers, but the original submission (v1) was uploaded too long ago, so it's not eligible through the regular submission form.
However, this v2 version was recently accepted to CVPR 2025, and it is a completely different paper compared to v1, bot... | https://github.com/huggingface/blog/issues/2781 | closed | [] | 2025-04-02T09:20:30Z | 2025-11-03T15:22:36Z | null | eveningglow |
pytorch/pytorch | 150,523 | [Question] How to load extremely large model checkpoint for FSDP wrapped model? | Hello,
We tried to train DeepSeek v3 model with the parallelism of `FSDP+Expert Parallel`. It works well with random initialized weights. But if we want do SFT or RLHF, we need to load the 670B model weights from https://huggingface.co/deepseek-ai/DeepSeek-V3-0324/tree/main
So, does PyTorch has ways to load extremely... | https://github.com/pytorch/pytorch/issues/150523 | closed | [
"oncall: distributed",
"triaged",
"module: fsdp"
] | 2025-04-02T08:05:12Z | 2025-05-08T16:28:40Z | null | zigzagcai |
huggingface/lerobot | 927 | How to train a model for VLN? | ### System Info
```Shell
To control four legs dogs.
```
### Information
- [ ] One of the scripts in the examples/ folder of LeRobot
- [ ] My own task or dataset (give details below)
### Reproduction
rt
### Expected behavior
tret | https://github.com/huggingface/lerobot/issues/927 | closed | [
"question"
] | 2025-04-01T13:26:20Z | 2025-04-01T15:50:04Z | null | lucasjinreal |
huggingface/agents-course | 391 | [QUESTION] UNIT-3 not yet published ? | <img width="1440" alt="Image" src="https://github.com/user-attachments/assets/aa8ed881-f998-4c63-805f-8af936d630c5" /> | https://github.com/huggingface/agents-course/issues/391 | closed | [
"question"
] | 2025-04-01T11:24:07Z | 2025-04-30T04:50:26Z | null | ynareshkalyan21 |
huggingface/hub-docs | 1,664 | Page: "how to be registered as a provider"? | https://github.com/huggingface/hub-docs/issues/1664 | closed | [] | 2025-04-01T10:55:01Z | 2025-04-03T13:03:26Z | null | hanouticelina | |
huggingface/lerobot | 926 | [Question] Deploy leRobot for a delta kinematic | Bonjour everyone,
I'm currently working on the development of an **open source delta robot** via ROS.
I'm wondering if any of you have a clue to help me integrate leRobot ACT algorithm to the custom kinematic of my delta.
ATM the inverse kinematic is managed by a marlin CNC firmware (on arudino mega), so we communi... | https://github.com/huggingface/lerobot/issues/926 | closed | [
"question"
] | 2025-04-01T09:46:29Z | 2025-04-28T10:57:31Z | null | man0n0n0 |
huggingface/optimum | 2,220 | optimum-cli diffusion policy model issue | ### System Info
```shell
Hi,
Trying to export a diffusion policy model to onnx format. From the error message and printed list of model types, it looks like “diffusion” model cannot be exported to onnx.
Is there a way to get around this?
optimum-cli export onnx --model lerobot/diffusion_pusht --task reinforcement-lea... | https://github.com/huggingface/optimum/issues/2220 | closed | [
"bug"
] | 2025-04-01T04:59:53Z | 2025-06-11T13:57:20Z | 1 | kraza8 |
pytorch/torchtitan | 1,035 | Profiling only a select group of ranks | Is it possible to profile only a select group of ranks. Becomes hard to handle the large number of files when there are many ranks. I understand that there could be imbalances when only a few ranks are profiled. Do not know if there are ways to profile , but not dump the profile output file. | https://github.com/pytorch/torchtitan/issues/1035 | open | [] | 2025-03-31T20:02:30Z | 2025-08-21T03:10:16Z | 3 | githubsgi |
huggingface/lerobot | 923 | Cannot install Lerobot | I am getting an error when the installation is building the av wheel. It is not passing this part of the installation | https://github.com/huggingface/lerobot/issues/923 | closed | [
"documentation",
"question",
"dependencies"
] | 2025-03-31T18:26:16Z | 2025-07-03T01:32:17Z | null | Prasit7 |
pytorch/xla | 8,906 | Profiler and `use_spmd()` order. | ## 📚 Documentation
In #8057, [@zjjott mentioned](https://github.com/pytorch/xla/issues/8057#issuecomment-2408428441) that `xp.start_server(...)` should be used after `use_spmd()`. I didn't find it written anywhere in the documentation. So, is this actually true? If so, we should write this down somewhere.
cc @miladm... | https://github.com/pytorch/xla/issues/8906 | open | [
"distributed",
"documentation"
] | 2025-03-31T15:34:03Z | 2025-03-31T21:29:39Z | 6 | ysiraichi |
pytorch/torchtitan | 1,034 | Context parallel on Turing GPUs? | As the title suggests, is torchtitan CP supported on Turing GPU?
I got the error `RuntimeError: No available kernel. Aborting execution.` using the default `run_train.sh` script with CP changed to 2.
I know Turing GPUs don't have flash attention support yet, but I read the torchtitan CP blog post [here](https://discu... | https://github.com/pytorch/torchtitan/issues/1034 | open | [
"question",
"module: context parallel"
] | 2025-03-31T09:36:47Z | 2025-08-21T03:11:02Z | null | dingqingy |
huggingface/open-r1 | 564 | How to evaluate pass@16 for aime 2024 benchmark? | https://github.com/huggingface/open-r1/issues/564 | open | [] | 2025-03-31T09:27:02Z | 2025-03-31T09:27:02Z | null | Cppowboy | |
huggingface/diffusers | 11,176 | How to use attention_mask and encoder_attention_mask or apply prompts to specific areas in the image? | Hi, I'm aware of the attention_mask and encoder_attention_mask that exist in the forward function of the UNet2DConditionModel yet there are no examples on how to use this
I would appreciate some help on that, thank you in advance
@patrickvonplaten @Birch-san | https://github.com/huggingface/diffusers/issues/11176 | open | [
"stale"
] | 2025-03-30T16:56:40Z | 2025-04-30T15:03:34Z | null | alexblattner |
pytorch/tutorials | 3,308 | 💡 [REQUEST] - <title>Pruning tutorial: clarify how to achieve comparable performance to non-pruned? | ### 🚀 Describe the improvement or the new tutorial
In the pruning tutorial https://pytorch.org/tutorials/intermediate/pruning_tutorial.html,
the method of pruning that is implemented appears to be completely random. "In this example, we will prune at random 30% of the connections..."
But isn't the goal of pruning pr... | https://github.com/pytorch/tutorials/issues/3308 | open | [] | 2025-03-30T15:49:41Z | 2025-03-30T15:49:41Z | null | drscotthawley |
huggingface/lerobot | 920 | [Question] How to convert dataset locally | I've noticed that `convert_dataset_v20_to_v21.py` convert LeRobot dataset from v20 to v21 that've already been pushed to the hub. But is there a script to do with local dataset? | https://github.com/huggingface/lerobot/issues/920 | closed | [
"question",
"dataset",
"stale"
] | 2025-03-30T13:32:50Z | 2025-10-13T02:30:26Z | null | Frozenkiddo |
huggingface/lerobot | 919 | [Question] Why does "action" exist? | I am a beginner and I am very confused about it. What I can understand is that during my entire operation, I sampled at fixed time intervals. It's like a signal being collected by a letter. I only have to observe and what does action mean? Many data sets in the project have data with the column title `action`. Moreover... | https://github.com/huggingface/lerobot/issues/919 | closed | [
"question"
] | 2025-03-30T10:45:57Z | 2025-03-31T07:50:19Z | null | ipc-robot |
huggingface/trl | 3,179 | How to resume from the last checkpoint? | I want to continue training from the last checkpoint. How should I do it? I set resume_from_checkpoint=True in the GRPOConfig, but based on the output, it seems to start training from the first step. Do I also need to change the model to the checkpoint path? | https://github.com/huggingface/trl/issues/3179 | closed | [
"❓ question",
"🏋 GRPO"
] | 2025-03-30T02:30:47Z | 2025-03-30T04:35:58Z | null | Tuziking |
huggingface/diffusers | 11,168 | Sage Attention for diffuser library | **Is your feature request related to a problem? No
**Describe the solution you'd like.**
A clear and concise description of what you want to happen.
Incorporate a way to add sage attention to the diffusers library: Flux pipeline, Wan pipeline, etc.
**Describe alternatives you've considered.**
None
**Additional conte... | https://github.com/huggingface/diffusers/issues/11168 | open | [
"wip"
] | 2025-03-28T20:39:30Z | 2025-06-23T05:59:27Z | 12 | ukaprch |
huggingface/agents-course | 381 | [QUESTION]LLM or Agent? | In the tutorial, a lot of the contents mislead to a wrong conectp with LLM and Agents.
```
The Stop and Parse Approach
One key method for implementing actions is the stop and parse approach. This method ensures that the agent’s output is structured and predictable:
Generation in a Structured Format:
The agent outputs... | https://github.com/huggingface/agents-course/issues/381 | closed | [
"question"
] | 2025-03-28T15:36:45Z | 2025-04-30T04:50:54Z | null | joshhu |
huggingface/lerobot | 912 | [Question]When will MultiLeRobotDataset available? | Hello, the MultiLeRobotDataset is very useful for training on large amounts of data; without it, training complex tasks would be difficult. However, I noticed that after the Simplify configs(#550) commit on January 31st, MultiLeRobotDataset have been marked as unavailable(raise NotImplementedError("The MultiLeRobotDat... | https://github.com/huggingface/lerobot/issues/912 | closed | [
"question",
"dataset",
"stale"
] | 2025-03-28T09:16:06Z | 2025-10-22T02:30:53Z | null | Vacuame |
huggingface/agents-course | 380 | [QUESTION] Question on using HuggingFace space | First, the **best way to get a response fast is to ask the community** in our Discord server: https://www.hf.co/join/discord
However, if you prefer you can ask here, please **be specific**.
I am on AI Agents course now.
I have trouble in using HuggingFace space.
I studied this course at company so I have to open a fi... | https://github.com/huggingface/agents-course/issues/380 | closed | [
"question"
] | 2025-03-28T08:28:23Z | 2025-04-30T04:47:14Z | null | kjh0303 |
pytorch/xla | 8,900 | Reset Peak Memory Usage | ## 🚀 Feature
<!-- A clear and concise description of the feature proposal -->
Provides a method to reset peak used memory size to current memory being used or 0.
## Motivation
<!-- Please outline the motivation for the proposal. Is your feature request related to a problem? e.g., I'm always frustrated when [...]. If... | https://github.com/pytorch/xla/issues/8900 | open | [
"enhancement"
] | 2025-03-28T05:29:44Z | 2025-03-28T05:29:44Z | 0 | yaochengji |
pytorch/torchtitan | 1,027 | Linear layer weights are in float32 ? | ### Bug description
I am seeing Linear layer weights in float32 ( wq.weight.dtype torch.float32 ) even after setting the following.
mixed_precision_param = "bfloat16"
mixed_precision_reduce = "bfloat16"
Is that expected or I hit upon a bug ?
### Versions
1. Yes.
2. See the description section .
3. It is e... | https://github.com/pytorch/torchtitan/issues/1027 | closed | [
"question"
] | 2025-03-28T01:35:22Z | 2025-05-08T21:15:49Z | null | githubsgi |
pytorch/torchtitan | 1,026 | Any plan to add Llama 1B and/or 3B models ? | Wondering if there is any plan to add the 1B and/or 3B models to the TorchTitan set of example models ? It is probably fairly straight forward to do that , if I am not missing anything, Another toml file and adds at a few places. The optimizer and lr_scheduler section may requires some trial and error. | https://github.com/pytorch/torchtitan/issues/1026 | open | [] | 2025-03-28T01:21:59Z | 2025-04-01T18:29:00Z | 4 | githubsgi |
pytorch/xla | 8,899 | The Stable Diffusion notebook is broken. | ## 📚 Documentation
The README points to a [Stable Diffusion notebook](https://github.com/pytorch/xla/blob/master/contrib/kaggle/pytorch-xla-2-0-on-kaggle.ipynb) to help a user get started. However, this notebook cannot be run successfully:
1. The `import torch_xla` step results in an error:
```
oduleNotFoundError ... | https://github.com/pytorch/xla/issues/8899 | open | [
"bug",
"documentation"
] | 2025-03-27T22:38:23Z | 2025-11-13T00:44:20Z | 0 | zhanyong-wan |
pytorch/vision | 9,008 | Torchvision bounding boxes do not match the images, becuase the bboxes are from the pre-cropped, pre-resized version. | ### 🐛 Describe the bug
CelebA bounding boxes were calculated on the so called "in-the-wild" images, prior to cropping and resizing. But torchvision.datasets returns the version that is cropped to 178x218. So for example, on the ninth image, the bbox is outside the image size.
CODE TO REPRO
```
from torchvision imp... | https://github.com/pytorch/vision/issues/9008 | open | [] | 2025-03-27T17:34:15Z | 2026-01-05T16:15:54Z | 6 | yaoshiang |
huggingface/Math-Verify | 47 | Question: How to configure `verify` for strict multi-part answer checking? | Hi Math-Verify Team,
I'm currently using `math-verify` for evaluating LLM outputs, specifically for questions that might require multiple answers (e.g., "Find all X...").
I've observed that the `verify` function in `grader.py`, which seems to use logic similar to `any(product(gold, target))`, can return `True` even i... | https://github.com/huggingface/Math-Verify/issues/47 | closed | [] | 2025-03-27T16:54:52Z | 2025-07-01T19:31:51Z | null | TweedBeetle |
huggingface/transformers.js | 1,259 | 3.2.4 has wrong env check in transformers.web.js | ### Question
## Background
I have developed a chrome extension which is followed by the [example](https://github.com/huggingface/transformers.js/tree/main/examples/extension). The example was used the package @xenova/transformers.
## Motivation
It seems that multithreads is work now. [Issue](https://github.com/huggin... | https://github.com/huggingface/transformers.js/issues/1259 | closed | [
"question"
] | 2025-03-27T07:35:23Z | 2025-07-02T04:45:26Z | null | sanixa |
huggingface/datasets | 7,480 | HF_DATASETS_CACHE ignored? | ### Describe the bug
I'm struggling to get things to respect HF_DATASETS_CACHE.
Rationale: I'm on a system that uses NFS for homedir, so downloading to NFS is expensive, slow, and wastes valuable quota compared to local disk. Instead, it seems to rely mostly on HF_HUB_CACHE.
Current version: 3.2.1dev. In the process... | https://github.com/huggingface/datasets/issues/7480 | open | [] | 2025-03-26T17:19:34Z | 2025-10-23T15:59:18Z | 8 | stephenroller |
huggingface/transformers.js | 1,258 | Tokenizer encode and decode get different token ids and text, missing word_ids | ### Question
```js
import { AutoTokenizer } from '@huggingface/transformers';
const tokenizer = await AutoTokenizer.from_pretrained('deepseek-ai/DeepSeek-R1')
console.log(tokenizer.encode(" e.g., ♩"))
console.log(tokenizer.decode([105]))
console.log(tokenizer.encode("♩"))
```
```
[ 312, 3588, 1042, 30717, 105 ]
�
[... | https://github.com/huggingface/transformers.js/issues/1258 | closed | [
"question"
] | 2025-03-26T10:44:12Z | 2025-03-31T20:18:45Z | null | liho00 |
huggingface/lerobot | 905 | Supporting selection of obs and action keys in dataset | Hi all, thanks a lot for the framework.
Currently, it seems the LeRobotDataset format requires users to have a fixed state/environment state/images or actions defined in their dataset. However, this means that for multiple similar applications, the user has to record different datasets with different state or action d... | https://github.com/huggingface/lerobot/issues/905 | closed | [
"question",
"dataset",
"stale"
] | 2025-03-26T08:12:10Z | 2025-10-10T02:27:27Z | null | Mayankm96 |
pytorch/xla | 8,884 | BrokenProcessPool: A process in the process pool was terminated abruptly while the future was running or pending. Error | Hello,
I'm trying to train my Transformer Encoder-Decoder model on google Colab `v2-8` TPUs. My code like this:
```python
import torch.distributed as dist
import torch_xla.core.xla_model as xm
import torch_xla.distributed.parallel_loader as pl
import torch_xla.distributed.xla_multiprocessing as xmp
import torch_xla.di... | https://github.com/pytorch/xla/issues/8884 | open | [
"bug",
"needs reproduction"
] | 2025-03-25T23:52:17Z | 2025-03-26T21:38:26Z | 2 | oayk23 |
pytorch/xla | 8,883 | [RFC] Use shard_as to improve sharding and avoid OOM | # 🚀 Use shard_as to improve sharding and avoid OOM
## Summary
2D sharding propagation is harder than 1D sharding propagation due to
incompatible sharding. This problem is worse in a `scan` / XLA `While` op, and
the <code>[shard_as][shard_as]</code> GSPMD feature seems to help.
## Motivation
This proposal is prima... | https://github.com/pytorch/xla/issues/8883 | closed | [
"enhancement",
"distributed"
] | 2025-03-25T22:14:04Z | 2025-03-29T03:26:36Z | 0 | tengyifei |
huggingface/chat-ui | 1,772 | USE_LOCAL_WEBSEARCH No results found for this search query | ## Bug description
With `USE_LOCAL_WEBSEARCH=true`, Web Search always reports _No results found for this search query_.
## Steps to reproduce
- enable search
- enter and submit question
## Screenshots
<img width="488" alt="Image" src="https://github.com/user-attachments/assets/b948b629-ff67-4edb-9f7c-25ca9d3d1325"... | https://github.com/huggingface/chat-ui/issues/1772 | open | [
"bug",
"help wanted",
"websearch"
] | 2025-03-25T21:28:11Z | 2025-10-22T21:13:54Z | 6 | brechtm |
huggingface/chat-ui | 1,771 | Client disconnects before response is received | ## Bug description
If an answer takes several minutes to complete, the chat-ui client simply disconnects. This disconnection happens at 1 minute, but I'm unsure.
## Steps to reproduce
Ask your LLM a riddle but change it a little, so it becomes confused and wonders for a while.
man and a goat are one one side of a ... | https://github.com/huggingface/chat-ui/issues/1771 | open | [
"bug"
] | 2025-03-25T19:14:54Z | 2025-06-14T13:46:28Z | 3 | drewwells |
huggingface/datasets | 7,477 | What is the canonical way to compress a Dataset? | Given that Arrow is the preferred backend for a Dataset, what is a user supposed to do if they want concurrent reads, concurrent writes AND on-disk compression for a larger dataset?
Parquet would be the obvious answer except that there is no native support for writing sharded, parquet datasets concurrently [[1](https:... | https://github.com/huggingface/datasets/issues/7477 | open | [] | 2025-03-25T16:47:51Z | 2025-04-03T09:13:11Z | null | eric-czech |
huggingface/lerobot | 901 | Any tutorial on how to make experiments on the SimXArm enviroment? | https://github.com/huggingface/lerobot/issues/901 | closed | [] | 2025-03-25T13:29:59Z | 2025-03-25T16:42:11Z | null | chenkang455 | |
huggingface/chat-ui | 1,765 | `truncate` parameter ignored for OpenAI chat_completions endpoint | ## Bug description
The `truncate` parameter in the ChatUI configuration is not being applied when using the OpenAI chat_completions endpoint.
## Root Cause
The issue arises because the chat_completions endpoint does not utilize the buildPrompt function where the `truncate` parameter is handled. The logic for truncat... | https://github.com/huggingface/chat-ui/issues/1765 | open | [
"bug"
] | 2025-03-25T10:13:40Z | 2025-03-25T10:20:33Z | 0 | calycekr |
huggingface/finetrainers | 350 | how to train wan using 8 GPUs | I notice that there is only 4 GPUs scripts, even though I modify the script for 8 GPU training, it gets some errors. | https://github.com/huggingface/finetrainers/issues/350 | open | [] | 2025-03-25T05:02:18Z | 2025-05-06T14:54:50Z | null | tanshuai0219 |
pytorch/xla | 8,876 | Missing torch-xla-gpu-plugin | A user reported the following issue:
we have been trying to use `torch-xla` nightly builds to get around some of the slowness issues seen in torch-xla 2.5. We found `torch-xla` nightly builds for GPU under `gs://pytorch-xla-releases/wheels/cuda/12.6`, however these don’t contain `torch-xla-gpu-plugin` (this was prese... | https://github.com/pytorch/xla/issues/8876 | open | [
"xla:gpu"
] | 2025-03-24T18:03:36Z | 2025-04-02T14:25:22Z | 11 | tengyifei |
pytorch/xla | 8,874 | Contribution suggestion? | ## ❓ Questions and Help
I want to have a deeper understanding of pytorch/xla by contributing to it. I notice that the majority of the [issues with "good first issue" tag](https://github.com/pytorch/xla/issues?q=is%3Aissue%20state%3Aopen%20label%3A%22good%20first%20issue%22) are of one kind (i.e. Op info test) and are ... | https://github.com/pytorch/xla/issues/8874 | closed | [
"question"
] | 2025-03-24T17:03:26Z | 2025-03-24T18:24:49Z | null | iwknow |
huggingface/diffusers | 11,147 | [LTX0.9.5] make LTX0.9.5 works with text-to-video | see more context here https://github.com/huggingface/diffusers/issues/11143#issuecomment-2747390564 | https://github.com/huggingface/diffusers/issues/11147 | closed | [
"help wanted"
] | 2025-03-24T09:56:47Z | 2025-04-04T14:43:16Z | 9 | yiyixuxu |
huggingface/search-and-learn | 47 | How to run this project on CPU? | Hello, I'm going to run the code for the project on cpu
The graphics card I have now is 4060ti, but even with the lightest option (minimum batch size, use 1.5B model, etc.), I couldn't run the project due to memory capacity issues
So I want to move this project to cpu and see the results even if it takes some time
H... | https://github.com/huggingface/search-and-learn/issues/47 | open | [] | 2025-03-24T01:13:44Z | 2025-03-24T01:13:44Z | null | pss0204 |
pytorch/pytorch | 149,826 | How to handle dynamic output size with torch.onnx.export (through dynamo) for Resize | ### 🐛 Describe the bug
I would like to export with torch.onnx.export (through dynamo) some code that contains a resize operation. The output width and height is dynamic. An example model is as follows:
```
import torch
class Model(torch.nn.Module):
def __init__(self):
super().__init__()
def forwar... | https://github.com/pytorch/pytorch/issues/149826 | closed | [
"module: onnx",
"triaged",
"oncall: pt2"
] | 2025-03-23T09:27:37Z | 2025-04-24T15:17:47Z | null | FabianSchuetze |
pytorch/pytorch | 149,771 | How to remove the “internal api” notice? | ### 📚 The doc issue
What is the option that will remove this notice?
> This page describes an internal API which is not intended to be used outside of the PyTorch codebase and can be modified or removed without notice.
We would like to remove it for https://pytorch.org/docs/stable/onnx_dynamo.html and a few onnx p... | https://github.com/pytorch/pytorch/issues/149771 | closed | [
"module: docs",
"triaged"
] | 2025-03-21T22:46:30Z | 2025-03-27T22:02:25Z | null | justinchuby |
huggingface/datasets | 7,473 | Webdataset data format problem | ### Describe the bug
Please see https://huggingface.co/datasets/ejschwartz/idioms/discussions/1
Error code: FileFormatMismatchBetweenSplitsError
All three splits, train, test, and validation, use webdataset. But only the train split has more than one file. How can I force the other two splits to also be interpreted ... | https://github.com/huggingface/datasets/issues/7473 | closed | [] | 2025-03-21T17:23:52Z | 2025-03-21T19:19:58Z | 1 | edmcman |
huggingface/datasets | 7,470 | Is it possible to shard a single-sharded IterableDataset? | I thought https://github.com/huggingface/datasets/pull/7252 might be applicable but looking at it maybe not.
Say we have a process, eg. a database query, that can return data in slightly different order each time. So, the initial query needs to be run by a single thread (not to mention running multiple times incurs mo... | https://github.com/huggingface/datasets/issues/7470 | closed | [] | 2025-03-21T04:33:37Z | 2025-11-22T07:55:43Z | 6 | jonathanasdf |
huggingface/lerobot | 884 | [Question] Support of PointCloud | Hi,
I'm currently developing a plugin for lerobot and would like to know if there are any plans to support PointCloud data.
Additionally, I'd like to ask if there is a recommended storage format for handling PointCloud data within the project.
Looking forward to your response.
Thanks | https://github.com/huggingface/lerobot/issues/884 | closed | [
"question",
"dataset",
"stale"
] | 2025-03-21T04:29:15Z | 2025-10-07T02:26:39Z | null | yilin404 |
huggingface/inference-benchmarker | 4 | Can i use local model's tokenizer and local dataset? | Hello, may I specify the paths of the locally downloaded model and dataset through the ./inference-benchmarker command, instead of accessing Hugging Face via the network? | https://github.com/huggingface/inference-benchmarker/issues/4 | open | [
"question"
] | 2025-03-21T01:55:03Z | 2025-03-27T18:44:04Z | null | handsome-chips |
pytorch/torchx | 1,021 | Suggested way to get timestamp of the job submission? | ## Description
Hi team, I am looking for a way to get the exact timestamp when the command `torchx run` is being run. Is there a formal way that is scheduler / component agnostic? The timestamp should be accessible from the training app.
## Motivation/Background
The actual use case is to calculate the overhead betwe... | https://github.com/meta-pytorch/torchx/issues/1021 | open | [] | 2025-03-20T21:58:47Z | 2025-03-20T21:59:41Z | 0 | HanFa |
huggingface/video-dataset-scripts | 20 | parquet file how to convert to Training Dataset Format for finetrainers | parquet file how to convert to Training Dataset Format for finetrainers ? | https://github.com/huggingface/video-dataset-scripts/issues/20 | closed | [] | 2025-03-20T16:22:39Z | 2025-04-10T17:46:06Z | null | kanghua309 |
pytorch/pytorch | 149,586 | UserWarning: Dynamo does not know how to trace the builtin `None.pybind11_object.__new__.` | ### 🐛 Describe the bug
I'm filing an issue since this is a Python built-in (granted the error message implies that it is not since it references PyBind11, but I'm opening an issue anyway since it is caused by using returning/using `None` in a compiled function).
### Versions
2.7.0a0+gitebd087e
cc @chauhang @pengui... | https://github.com/pytorch/pytorch/issues/149586 | open | [
"triaged",
"oncall: pt2",
"module: dynamo",
"module: higher order operators",
"module: compiled autograd",
"module: pt2-dispatcher",
"module: flex attention"
] | 2025-03-20T00:32:49Z | 2025-03-21T19:28:30Z | null | cora-codes |
pytorch/xla | 8,862 | Replace `xm.mark_step` with `torch_xla.sync()` in examples and tests | `torch_xla.sync()` is easier to spell than `xm.mark_step()`. We should at least replace `mark_step` in all public examples. | https://github.com/pytorch/xla/issues/8862 | closed | [
"enhancement",
"usability",
"documentation"
] | 2025-03-19T22:25:09Z | 2025-05-16T17:56:25Z | 1 | tengyifei |
pytorch/xla | 8,861 | Document the difference between `device=` vs `.to(device)` | ## 📚 Documentation
There's a subtle difference between `torch.foo(device=xla)` vs `torch.foo().to(xla)` and we should document this in a FAQ section or similar. The first one runs the `foo` on the TPU. The second one runs the `foo` on the CPU and then moves the buffer to the TPU. | https://github.com/pytorch/xla/issues/8861 | closed | [
"enhancement",
"good first issue",
"documentation"
] | 2025-03-19T22:23:19Z | 2025-06-12T06:07:46Z | 2 | tengyifei |
pytorch/xla | 8,859 | Improve `torch_xla.compile` documentation | ## 📚 Documentation
The best doc I could find that mentions this is https://pytorch.org/xla/release/r2.5/eager_mode.html. However, `torch_xla.compile` is usable separate from PyTorch/XLA eager mode and we should make this more front-and-center compared to mark_step. | https://github.com/pytorch/xla/issues/8859 | closed | [
"enhancement",
"good first issue",
"documentation"
] | 2025-03-19T22:15:04Z | 2025-05-30T04:11:41Z | 0 | tengyifei |
pytorch/xla | 8,858 | Document the difference between tracing time and execution time | ## 📚 Documentation
If we write a loop like
```
start = time.time()
for step in range(num_steps):
run_model()
xm.mark_step()
end = time.time()
```
Then `end - start` will only measure the tracing time. We'll need to do `torch_xla.sync(wait=True)` to block on device execution to measure the execution time.
We sh... | https://github.com/pytorch/xla/issues/8858 | closed | [
"enhancement",
"good first issue",
"documentation"
] | 2025-03-19T22:13:49Z | 2025-05-30T04:10:37Z | 4 | tengyifei |
pytorch/torchtitan | 987 | Is EP (Expert Parallelism) coming ? | Currently TorchTitan supports PP, CP, FSDP, PP parallelisms. Is there a plan to support Expert Parallelism (EP) ? Along the same line, see some DeepSeek files in the repo. Is there a plan to support DeepSeek training on TorchTitan ?
| https://github.com/pytorch/torchtitan/issues/987 | closed | [
"question"
] | 2025-03-19T21:41:14Z | 2025-03-24T17:21:20Z | null | githubsgi |
pytorch/torchtitan | 986 | Is a PP+FSDP+TP config + toml available for pre-training 405B model ? | Would appreciate if someone can share a toml file to do PP+FSDP+TP for 405B model. | https://github.com/pytorch/torchtitan/issues/986 | closed | [] | 2025-03-19T21:35:43Z | 2025-08-21T03:11:32Z | 3 | githubsgi |
pytorch/vision | 8,986 | Speed up JPEG decoding by allowing resize during decode | ### 🚀 The feature
Torchvision's `read_image` currently decodes JPEG images at full resolution. However, both `libjpeg` and `libjpeg-turbo` support decoding at lower resolutions (1/2, 1/4, 1/8 of the original size).
Introducing a `size_hint` parameter would allow users to specify an approximate target size, with `tor... | https://github.com/pytorch/vision/issues/8986 | open | [] | 2025-03-19T19:08:46Z | 2025-04-29T07:32:47Z | 3 | gyf304 |
huggingface/trl | 3,114 | What is the reason for using only one GPU when integration with llm? | At [line](https://github.com/huggingface/trl/blob/main/trl/trainer/grpo_trainer.py#L507) of the code, when using vllm, a unique GPU device is specified here. However, in fact, it is quite common to use a single vllm instance with multiple GPUs.
1. What is the reason that the code is designed to only select a single ... | https://github.com/huggingface/trl/issues/3114 | closed | [
"❓ question",
"🏋 GRPO"
] | 2025-03-19T16:20:03Z | 2025-04-05T17:01:33Z | null | spencergotowork |
huggingface/smollm | 67 | How to fine tune smolvlm on OCR | Is there any guid to finet-tune smovlm on OCR like in https://huggingface.co/ds4sd/SmolDocling-256M-preview | https://github.com/huggingface/smollm/issues/67 | open | [
"Image"
] | 2025-03-19T14:17:33Z | 2025-07-29T13:09:05Z | null | abdelkareemkobo |
huggingface/peft | 2,436 | Fine-tuning with Multiple LoRAs | Thanks for your valuable work!
I would like to know if it's possible to jointly train two LoRAs while only loading one base model. The overall output depends on the respective outputs of LoRA1 and LoRA2. For example, logits1 is obtained from the base model with LoRA1, and logits2 is obtained from the base model with L... | https://github.com/huggingface/peft/issues/2436 | closed | [] | 2025-03-19T13:49:28Z | 2025-07-19T05:45:12Z | 7 | xymou |
huggingface/setfit | 590 | How do I disable requests to huggingface.co:443 after training? | I'm currently evaluating setfit in a proof of concept situation. Unfortunately, I'm working behind a company firewall, where I do not have access to the world wide web, only to company-internal URLs.
That's a bit annoying in terms of downloading models, but I can work around that. More importantly, it seems there are ... | https://github.com/huggingface/setfit/issues/590 | open | [] | 2025-03-19T08:42:12Z | 2025-03-19T18:44:12Z | null | AdrianSchneble |
huggingface/diffusers | 11,114 | channel inconsistency in cogvideo Lora training example | ### Describe the bug
while using the training script in (https://github.com/huggingface/diffusers/blob/main/examples/cogvideo/train_cogvideox_image_to_video_lora.py)
I made a dataset as described in readme and run training.
but a bug occurred at the forward pass process.It is because the model in-channel is 16 but m... | https://github.com/huggingface/diffusers/issues/11114 | open | [
"bug",
"stale"
] | 2025-03-19T07:55:00Z | 2025-04-18T15:02:52Z | 2 | MrTom34 |
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