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/lerobot | 1,080 | Update `control_sim_robot.py` to use the new configs | Adding this issue to track one of the TODO's of this MR #550
As of now, [this script](https://github.com/huggingface/lerobot/blob/8cfab3882480bdde38e42d93a9752de5ed42cae2/lerobot/scripts/control_sim_robot.py) is outdated; It does not use the new configuration classes. | https://github.com/huggingface/lerobot/issues/1080 | closed | [
"question"
] | 2025-05-07T11:37:47Z | 2025-06-19T14:04:11Z | null | jccalvojackson |
huggingface/Math-Verify | 53 | How to turn off error print? | When using multiprocessing, there is a lot of error message printed. | https://github.com/huggingface/Math-Verify/issues/53 | closed | [] | 2025-05-07T08:19:36Z | 2025-07-02T16:07:02Z | null | wenxueru |
pytorch/executorch | 10,745 | How to use tokenizer.json in ExecuTorch Android demo (without tokenizer.model)? | ### 📚 The doc issue
I'm trying to deploy a language or vision-language model on Android using the ExecuTorch Android demo app.
The model I'm working with only provides tokenizer.json, but the current Android implementation appears to expect a tokenizer.model file instead.
Is tokenizer.model mandatory for the ExecuTo... | https://github.com/pytorch/executorch/issues/10745 | closed | [
"triaged",
"module: android"
] | 2025-05-07T03:22:03Z | 2025-05-07T21:33:46Z | null | jordanqi |
huggingface/peft | 2,533 | Integrate TLoRA (Tri-Matrix LoRA) | ### Feature request
We would like to propose integrating a novel parameter-efficient fine-tuning method called **TLoRA (Tri-Matrix LoRA)** into the `peft` library. We believe TLoRA offers significant advantages in terms of parameter efficiency, making it a valuable addition to the PEFT ecosystem.
Our method is detail... | https://github.com/huggingface/peft/issues/2533 | closed | [] | 2025-05-06T21:22:50Z | 2025-06-15T15:03:57Z | 2 | itanvir |
huggingface/candle | 2,945 | Operating steps from scratch for beginners? | from
a
To
Z | https://github.com/huggingface/candle/issues/2945 | open | [] | 2025-05-06T15:34:02Z | 2025-05-06T15:34:02Z | 0 | Qarqor5555555 |
pytorch/torchtitan | 1,169 | how to inference with pretrained model? | hi, after pretrain/sft with torchtitan, how to inference with the checkpoint? does the repo provide the inference code? thank you. | https://github.com/pytorch/torchtitan/issues/1169 | closed | [] | 2025-05-06T10:28:50Z | 2025-08-21T03:18:05Z | null | dragen1860 |
pytorch/torchtitan | 1,168 | How to use fsdp2 cpu_offload? | I am currently using `cpuOffloadPolicy` in the following way:
```py
transformer_cls_to_wrap = list()
for layer_class in transformer_cls_names_to_wrap:
transformer_cls = get_module_class_from_name(model_to_wrap, layer_class)
if transformer_cls is not None:
transforme... | https://github.com/pytorch/torchtitan/issues/1168 | closed | [
"module: fsdp"
] | 2025-05-06T07:44:48Z | 2025-05-12T03:29:30Z | null | KimmiShi |
huggingface/lerobot | 1,072 | How to merge collected data into one? | For stability I collect data 10 episode by 10. Then forming this:
repo_id/first,repo_id_second...
I want to merge them together to repo_id/one_task for training, but it's hard to fix meta files.
I'm not sure if this approach helps with training, or if I should determine the number of episodes needed for training in a... | https://github.com/huggingface/lerobot/issues/1072 | closed | [
"question",
"dataset"
] | 2025-05-06T02:27:24Z | 2025-05-07T02:29:27Z | null | milong26 |
pytorch/xla | 9,095 | Support Dynamic Grid in Pallas Kernel | ## 🚀 Feature
<!-- A clear and concise description of the feature proposal -->
Support dynamic grid feature of pallas kernel through PyTorch/XLA wrapper. Below is an example of dynamic grid in jax.
```
import functools
import time
import jax
from jax._src.pallas.pallas_call import _trace_kernel_to_jaxpr
import jax.n... | https://github.com/pytorch/xla/issues/9095 | open | [
"enhancement",
"pallas"
] | 2025-05-05T22:28:33Z | 2025-05-06T12:24:45Z | 0 | yaochengji |
huggingface/diffusers | 11,499 | [Performance] Issue on *SanaLinearAttnProcessor2_0 family. 1.06X speedup can be reached with a simple change. | ### Sys env:
OS Ubuntu 22.04
PyTorch 2.4.0+cu121
sana == 0.0.1
Diffusers == 0.34.0.dev0
### Reproduce:
Try the demo test code:
```
import torch
from diffusers import SanaPAGPipeline
pipe = SanaPAGPipeline.from_pretrained(
# "Efficient-Large-Model/Sana_1600M_512px_diffusers",
"Efficient-Large-Model/SANA1.5_1.6... | https://github.com/huggingface/diffusers/issues/11499 | closed | [] | 2025-05-05T21:26:51Z | 2025-08-08T23:44:59Z | 11 | David-Dingle |
huggingface/candle | 2,944 | finetuning yolo 8 candle model | What is the correct way to finetune yolo8 model to be used here ? Finetuning model using candle is not straightforward.
candle\candle-examples\examples\yolo-v8\main.rs
// model model architecture points at ultralytics : https://github.com/ultralytics/ultralytics/issues/189
But my model trained using ultralytics and co... | https://github.com/huggingface/candle/issues/2944 | open | [] | 2025-05-05T15:21:48Z | 2025-05-05T18:46:52Z | 0 | flutter-painter |
pytorch/rl | 2,939 | PPO with composite distribution crash before giving the warning on how to fix it. | This block
https://github.com/pytorch/rl/blob/795e362cb82b3539faa30db771e5b2f1d50f8c8a/torchrl/objectives/ppo.py#L601-L602
causes
```AttributeError: 'Tensor' object has no attribute 'batch_size'```
Before, the warning on how to fix it is shown.
https://github.com/pytorch/rl/blob/795e362cb82b3539faa30db771e5b2f1d50f8... | https://github.com/pytorch/rl/issues/2939 | closed | [] | 2025-05-04T23:31:53Z | 2025-05-20T10:09:02Z | null | siegelaaron94 |
huggingface/diffusers | 11,489 | Error when I'm trying to train a Flux lora with train_dreambooth_lora_flux_advanced | ### Describe the bug
Hi! I'm trying to train my lora model with [train_dreambooth_lora_flux_advanced](https://github.com/huggingface/diffusers/blob/main/examples/advanced_diffusion_training/train_dreambooth_lora_flux_advanced.py) script.
When I'm trying to train my model with prior preservation tag I give an error.
... | https://github.com/huggingface/diffusers/issues/11489 | open | [
"bug",
"training"
] | 2025-05-04T21:19:23Z | 2025-07-06T19:38:40Z | 4 | Mnwa |
huggingface/diffusers | 11,488 | Sincerely Request The Support for Flux PAG Pipeline | When the pag pipeline of flux can be supported? | https://github.com/huggingface/diffusers/issues/11488 | open | [
"help wanted",
"Good second issue"
] | 2025-05-04T11:12:05Z | 2025-05-16T04:53:52Z | 2 | PlutoQyl |
huggingface/text-generation-inference | 3,208 | Can I use TGI in a Supercomputer? | I want to generate somewhere around 1 trillion tokens and I was thinking of using TGI on a European Supercomputer. is there a way to achieve this without relying on docker and downloading the model natively and then load it on the compute node and serve it? @Wauplin | https://github.com/huggingface/text-generation-inference/issues/3208 | open | [] | 2025-05-03T15:13:24Z | 2025-05-15T08:55:08Z | 4 | sleepingcat4 |
pytorch/xla | 9,082 | Educate users on mat mul precision | mat mul precision will be exposed idiomatically to Pytorch in #9081. | https://github.com/pytorch/xla/issues/9082 | closed | [
"documentation"
] | 2025-05-02T20:03:54Z | 2025-05-21T20:34:32Z | 0 | yaoshiang |
huggingface/transformers.js | 1,305 | Trying to convert dinov2 model | ### Question
I tried to convert [this model](https://huggingface.co/nguyenkhoa/dinov2_Liveness_detection_v2.2.3) using the following command:
`python -m scripts.convert --model_id nguyenkhoa/dinov2_Liveness_detection_v2.2.3 --quantize --task image-classification`
but got the following error:
``ValueError: Trying t... | https://github.com/huggingface/transformers.js/issues/1305 | closed | [
"question"
] | 2025-05-01T19:56:28Z | 2025-05-05T22:18:48Z | null | jdp8 |
pytorch/executorch | 10,593 | Advice on how to run the training example in Android | Hello Team,
We have followed https://pytorch.org/executorch/main/using-executorch-android.html#building-from-source to build the "aar" file.
We can run the inference example on Android.
We are wondering how to run the training example on Android.
Are there some flags / some config we need to add to the building pro... | https://github.com/pytorch/executorch/issues/10593 | open | [
"module: android",
"module: training"
] | 2025-04-30T19:51:03Z | 2025-07-15T22:59:28Z | null | YuanTingHsieh |
huggingface/datasets | 7,545 | Networked Pull Through Cache | ### Feature request
Introduce a HF_DATASET_CACHE_NETWORK_LOCATION configuration (e.g. an environment variable) together with a companion network cache service.
Enable a three-tier cache lookup for datasets:
1. Local on-disk cache
2. Configurable network cache proxy
3. Official Hugging Face Hub
### Motivation
- Dis... | https://github.com/huggingface/datasets/issues/7545 | open | [
"enhancement"
] | 2025-04-30T15:16:33Z | 2025-04-30T15:16:33Z | 0 | wrmedford |
huggingface/transformers | 37,895 | How to backpropagate the gradients of the embeddings output by the image processor to the input image tensor? | ### Feature request
I'm using the processor of Qwen2.5-VL, and the image processor within it should be Qwen2ImageProcessor. The input image I provide is a PyTorch tensor with gradients, and the processor outputs the feature embeddings of the image. How can I ensure that the gradient flow is not interrupted during this... | https://github.com/huggingface/transformers/issues/37895 | open | [
"Feature request"
] | 2025-04-30T15:06:40Z | 2025-05-01T13:36:24Z | null | weiminbai |
pytorch/xla | 9,063 | Add explanation of Clang usage after Hermetic CUDA. | ## 📚 Documentation
Follow up from: #8665 and #9053
After #8665 is merged, we should add an explanation on the default usage of Clang due to the adoption of Hermetic CUDA. This is somewhat related to #9061. | https://github.com/pytorch/xla/issues/9063 | open | [
"documentation"
] | 2025-04-30T12:17:26Z | 2025-04-30T12:18:12Z | 0 | ysiraichi |
huggingface/diffusers | 11,466 | Finetuning of flux or scratch training | I am new to this field and wanted to know if Is there any code available for training the flux from scratch or even finetuning the existing model. All I see is the dreambooth or Lora finetuning. | https://github.com/huggingface/diffusers/issues/11466 | open | [] | 2025-04-30T07:45:49Z | 2025-05-30T16:32:33Z | 2 | preethamp0197 |
pytorch/executorch | 10,571 | where is pytorch_tokenizers.tools.llama2c.convert? | ### 🐛 Describe the bug
I can not find pytorch_tokenizers.tools.llama2c.convert with command "python -m pytorch_tokenizers.tools.llama2c.convert -t ../tokenizer.model -o ../tokenizer.bin" according to docs. the env
I use is built by "pip install executorch"
### Versions
Collecting environment information...
PyTor... | https://github.com/pytorch/executorch/issues/10571 | closed | [
"module: llm"
] | 2025-04-30T03:15:59Z | 2025-05-08T06:20:26Z | null | hayyaw |
pytorch/xla | 9,056 | Fix the contribution instructions for creating PRs | ## 📚 Documentation
https://github.com/pytorch/xla/blob/master/CONTRIBUTING.md suggests to clone the original PyTorch/XLA repo directly. However, doing so makes it impossible to create PRs later unless the user has write permission to the repo. Instead, it should ask the users to fork the repo first, and then work aga... | https://github.com/pytorch/xla/issues/9056 | closed | [
"documentation"
] | 2025-04-29T18:23:43Z | 2025-05-07T13:37:33Z | 0 | zhanyong-wan |
huggingface/hf-hub | 104 | What is this software licensed under? | Would this also be Apache 2 like in https://github.com/huggingface/huggingface_hub/?
Thanks! | https://github.com/huggingface/hf-hub/issues/104 | closed | [] | 2025-04-29T16:27:10Z | 2025-06-16T09:09:43Z | null | nathankw |
pytorch/vision | 9,042 | Make the C++ backend of the torchvision wheel usable for C++ development | ### 🚀 The feature
Currently, the torchvision wheel packages the C++ DSO as `_C.so` for python bindings.
We'd like the python wheel to have the C++ backend be standalone, so it can be extracted/used by C++ applications, like is done today for the PyTorch wheels.
This means:
- export DSO as `libtorchvision.so` inste... | https://github.com/pytorch/vision/issues/9042 | open | [] | 2025-04-29T15:04:25Z | 2025-05-19T23:58:53Z | 5 | agirault |
huggingface/optimum | 2,248 | Export cli export RT-Detr | ```python
Traceback (most recent call last):
File "/usr/local/bin/optimum-cli", line 8, in <module>
sys.exit(main())
^^^^^^
File "/usr/local/lib/python3.11/dist-packages/optimum/commands/optimum_cli.py", line 208, in main
service.run()
File "/usr/local/lib/python3.11/dist-packages/optimum/com... | https://github.com/huggingface/optimum/issues/2248 | closed | [] | 2025-04-29T08:23:17Z | 2025-05-05T08:03:21Z | 1 | TheMattBin |
huggingface/open-muse | 144 | how to set the minimum learning rate for cosine lr_scheduler? | @dataclass
class TrainingArguments(transformers.TrainingArguments):
gradient_checkpointing_kwargs={'use_reentrant':False}
lr_scheduler_kwargs={
"eta_min":1e-6,
"num_cycles":1,
}
It did not work. how to set the minimum learning rate in transformers-4.51.3? | https://github.com/huggingface/open-muse/issues/144 | closed | [] | 2025-04-29T02:18:59Z | 2025-04-29T02:20:42Z | null | xubuvd |
pytorch/torchchat | 1,536 | Improve Tokenizer New Type Onboarding | ### 🚀 The feature, motivation and pitch
---
As a sequel to https://github.com/pytorch/torchchat/issues/1518 where we added an enum for tokenizer types to simplify `TokenizerArgs __post_init__`, we need to further improve it to simplify new tokenizer type onboarding:
### Tasks
---
- Move TokenizerType to a centralized... | https://github.com/pytorch/torchchat/issues/1536 | open | [
"good first issue",
"actionable",
"triaged"
] | 2025-04-28T18:31:33Z | 2025-05-13T17:54:18Z | 3 | zhenyan-zhang-meta |
huggingface/lerobot | 1,045 | Inefficient Config Structure without Hydra | Hi, I notice that the repo used Hydra before, which can modify some config param or create new config yaml files. However, this was deprecated. I wonder how to efficiently modify a new config file for policy without writing these params in the command line each time? | https://github.com/huggingface/lerobot/issues/1045 | closed | [
"question",
"configuration",
"stale"
] | 2025-04-28T11:48:08Z | 2025-11-18T02:30:46Z | null | jiangranlv |
pytorch/torchtitan | 1,150 | [Feature] Support validation | For some workloads, it is really important to perform validation on a different dataset every n iterations.
This seems reasonably straight forward to add to the training loop and training specs, while being kept as optional.
Is there any plan to support this functionality in the near future? | https://github.com/pytorch/torchtitan/issues/1150 | closed | [] | 2025-04-28T11:01:47Z | 2025-08-21T03:17:19Z | 4 | CarlosGomes98 |
huggingface/diffusers | 11,432 | `.from_pretrained` `torch_dtype="auto"` argument not working a expected | ### Describe the bug
Hey dear diffusers team,
thanks a lot for all your hard work!
I would like to make use of the `torch_dtype="auto"` keyword argument when loading a model/pipeline as specified [here](https://huggingface.co/docs/diffusers/main/en/api/pipelines/overview#diffusers.DiffusionPipeline.from_pretrained.t... | https://github.com/huggingface/diffusers/issues/11432 | closed | [
"bug"
] | 2025-04-28T04:31:26Z | 2025-05-13T01:42:37Z | 3 | johannaSommer |
huggingface/lerobot | 1,041 | image transform of pi0 is inconsistent with openpi | Thank you for pi0 work in lerobot.However, i found that image transform was quite different from openpi.
image transform of lerobot pi0:
image transform of openpi:
![Image](https://github.com/user-attachments/assets/75845f92-d5... | https://github.com/huggingface/lerobot/issues/1041 | closed | [
"question",
"policies",
"stale"
] | 2025-04-28T03:08:10Z | 2025-11-20T02:30:12Z | null | wushandinghua |
pytorch/torchtitan | 1,147 | [Question] FSDP+TP CUDA_DEVICE_MAX_CONNECTIONS | In Megatron repo https://github.com/NVIDIA/Megatron-LM/blob/4429e8ebe21fb011529d7401c370841ce530785a/megatron/training/arguments.py#L779
It’s recommended that FSDP should use larger values of `CUDA_DEVICE_MAX_CONNECTIONS` but Megatron TP requires it to be 1. Is it also the case for torch implementation of TP using DTe... | https://github.com/pytorch/torchtitan/issues/1147 | open | [
"documentation",
"question",
"module: fsdp"
] | 2025-04-27T20:48:50Z | 2025-04-29T21:54:07Z | null | ChenchaoZhao |
huggingface/diffusers | 11,423 | Lora Hotswap no clear documentation | Hello everyone.
Here is the scenario I have.
I have say 10 LoRAs that I would like to load and use depending on the request.
Option one:
using `load_lora_weights` - reads from the disk and moves to device: expensive operation
Option two:
load all loras and weights of non-used LoRAS with `set_adapters` method to 0.... | https://github.com/huggingface/diffusers/issues/11423 | open | [
"stale"
] | 2025-04-26T13:44:08Z | 2025-05-26T15:03:03Z | 2 | vahe-toffee |
huggingface/diffusers | 11,419 | How to know that "Textual inversion" file I have loaded and not turn it on? | Reviewing the documentation I understand the load of IT with:
# Add Embeddings
Pipeline.load_textual_inversion("Sd-Concepts-Library/Cat-Toy"),
# Remave All Token Embeddings
Pipeline.unload_textual_inversion()
# Remove Just One Token
Pipeline.unload_textual_inversion ("<Moe-Bius>")
But how do you know which are c... | https://github.com/huggingface/diffusers/issues/11419 | closed | [
"stale"
] | 2025-04-25T17:18:07Z | 2025-05-27T18:09:45Z | null | Eduardishion |
huggingface/diffusers | 11,418 | How to add flux1-fill-dev-fp8.safetensors | ### Describe the bug
Hi!
How to use flux1-fill-dev-fp8.safetensors in diffusers?
Now I have code:
```
def init_pipeline(device: str):
logger.info(f"Loading FLUX Inpaint Pipeline (Fill‑dev) on {device}")
pipe = FluxFillPipeline.from_pretrained(
"black-forest-labs/FLUX.1-Fill-dev",
torch_dtype=t... | https://github.com/huggingface/diffusers/issues/11418 | closed | [
"bug"
] | 2025-04-25T14:58:08Z | 2025-04-28T19:06:17Z | null | SlimRG |
huggingface/optimum | 2,242 | [onnx] What are the functions of the generated files by optimum-cli? | ### System Info
```shell
I try to use **optimum-cli** to export the onnx file for llama, but i don't get a onnx file as expect, but get a lot of files, so I don't know what are they used for ?
(MindSpore) [ma-user llama149]$ls onnx_model/
config.json generation_config.json model.onnx model.onnx_data special_token... | https://github.com/huggingface/optimum/issues/2242 | closed | [] | 2025-04-25T13:12:35Z | 2025-04-28T09:18:06Z | 1 | vfdff |
huggingface/diffusers | 11,417 | attributeerror: 'distributeddataparallel' object has no attribute 'dtype'. did you mean: 'type'? | ### Describe the bug
attributeerror: 'distributeddataparallel' object has no attribute 'dtype'. did you mean: 'type'?
### Reproduction
export MODEL_NAME="black-forest-labs/FLUX.1-dev"
export OUTPUT_DIR="trained-flux-dev-dreambooth-lora"
accelerate launch train_dreambooth_lora_flux.py \
--pretrained_model_name_or_... | https://github.com/huggingface/diffusers/issues/11417 | open | [
"bug",
"stale"
] | 2025-04-25T03:30:52Z | 2025-05-25T15:02:30Z | 1 | asjqmasjqm |
huggingface/datasets | 7,536 | [Errno 13] Permission denied: on `.incomplete` file | ### Describe the bug
When downloading a dataset, we frequently hit the below Permission Denied error. This looks to happen (at least) across datasets in HF, S3, and GCS.
It looks like the `temp_file` being passed [here](https://github.com/huggingface/datasets/blob/main/src/datasets/utils/file_utils.py#L412) can somet... | https://github.com/huggingface/datasets/issues/7536 | closed | [] | 2025-04-24T20:52:45Z | 2025-05-06T13:05:01Z | 4 | ryan-clancy |
pytorch/pytorch | 152,100 | What is the difference between normal_tensor.storage().use_count() and viewed_tensor's? | In the test2() below, why is b.storage().use_count() still 2 even when I deleted the source tensor a?
```
import torch
def test1():
print("=============== test 1 ===============")
a = torch.empty(size=(17, 32, 128, 16), dtype=torch.float16)
b = a.view(-1)
# b.storage().use_count() is 2
def test2():
... | https://github.com/pytorch/pytorch/issues/152100 | closed | [] | 2025-04-24T12:54:21Z | 2025-04-25T07:39:39Z | null | CLiqing |
pytorch/audio | 3,901 | 2.7.0 release tag | ### 🚀 The feature
Although there is a 2.7.0 release on PyPI, there is no release of the source code on GitHub. Can we get a 2.7.0 release tagged?
### Motivation, pitch
Package managers like Spack build from source code, not from pre-compiled wheels. This is especially important for libraries like torchaudio which g... | https://github.com/pytorch/audio/issues/3901 | closed | [] | 2025-04-24T09:54:48Z | 2025-04-24T15:25:16Z | 2 | adamjstewart |
pytorch/torchtitan | 1,141 | Meet Error when using AMD server (MI250) | Hi, when I using torchtitan on AMD server (Mi250), it reports the following errors:
.
Does torchtitan support AMD server like MI250?
Thanks. | https://github.com/pytorch/torchtitan/issues/1141 | closed | [] | 2025-04-24T07:48:10Z | 2025-04-25T08:46:06Z | 5 | StillKeepTry |
huggingface/diffusers | 11,396 | How to convert the hidream lora trained by diffusers to a format that comfyui can load? | ### Describe the bug
The hidream lora trained by diffusers can't load in comfyui, how could I convert it?
### Reproduction
No
### Logs
```shell
```
### System Info
No
### Who can help?
_No response_ | https://github.com/huggingface/diffusers/issues/11396 | closed | [
"bug",
"stale"
] | 2025-04-23T13:13:34Z | 2025-06-23T09:49:19Z | null | yinguoweiOvO |
huggingface/candle | 2,916 | how to save and load the model | I just use the varmap.save the varmap,but when I use the varmap.load then achieved a empty varmap. is there any way to save the trained model? | https://github.com/huggingface/candle/issues/2916 | closed | [] | 2025-04-23T11:10:04Z | 2025-04-24T02:25:37Z | null | liguheng |
huggingface/tokenizers | 1,768 | How to debug tokenizers with python? | Hi, I have a technical question. After installing transformers via pip, I successfully installed tokenizers==0.21.1 and transformers==4.49.0. When running the code:
`tokenizer = AutoTokenizer.from_pretrained("../Qwen2") # (tokenizer configs in this folder)`
`tokenizer.encode(data)`
I want to trace the program flow to ... | https://github.com/huggingface/tokenizers/issues/1768 | open | [] | 2025-04-23T09:37:20Z | 2025-04-30T14:11:11Z | null | JinJieGan |
pytorch/torchtitan | 1,133 | How to correctly use FSDP2 do mixed precision training? | Hi, I am currently doing this way:
```py
model = AutoModel.from_pretrained(...)
# make sure model is in fp32, so we have a fp32 mater weight in optimizer
model.to(torch.float32)
mp_policy = MixedPrecisionPolicy(
param_dtype=torch.bfloat16,
reduce_dtype=torch.float32,
)
fsdp_kwargs = {
"reshard_after_f... | https://github.com/pytorch/torchtitan/issues/1133 | closed | [] | 2025-04-23T06:55:40Z | 2025-04-27T10:03:20Z | null | KimmiShi |
pytorch/torchtitan | 1,132 | FSDP2 reduce_scatter_reduce_op for context parallelism | Hi,
FSDP2 reduce_scatter by default seems to take the average over the entire shard world, which consists of dp_shard and cp. Averaging gradients over dp_shard makes sense, but I wonder if sum is the better reduce op for CP?
Logically, it seems to me gradient should be agnostic to the choice of CP.
Thanks! | https://github.com/pytorch/torchtitan/issues/1132 | closed | [
"question"
] | 2025-04-23T01:44:19Z | 2025-04-24T16:39:05Z | null | dingqingy |
pytorch/xla | 9,026 | Where to find TPU-dependent compile-pipeline/optimizations in XLA? | ## ❓ Questions and Help
I'm diving into the XLA source code to understand the compilation pipeline for the TPU backend and any TPU-dependent optimizations. However, I couldn't find details about the TPU compilation pipeline in xla/service dir, while CPU and GPU pipelines seem more visible. I see some cost-model-based ... | https://github.com/pytorch/xla/issues/9026 | closed | [] | 2025-04-23T01:42:17Z | 2025-04-23T12:07:58Z | 0 | Bolzano983 |
huggingface/diffusers | 11,390 | Better image interpolation in training scripts follow up | With https://github.com/huggingface/diffusers/pull/11206 we did a small quality improvement for the SDXL Dreambooth LoRA script by making `LANCZOS` the default interpolation mode for the image resizing.
This issue is to ask for help from the community to bring this change to the other training scripts, specially for t... | https://github.com/huggingface/diffusers/issues/11390 | closed | [
"good first issue",
"contributions-welcome"
] | 2025-04-23T00:04:10Z | 2025-05-05T16:35:18Z | 20 | asomoza |
huggingface/lerobot | 1,019 | How to resume dataset creation after interruption instead of starting from scratch? | Recently our dataset creation + upload got interrupted due to an error not related to LeRobot. However, I have not been able to launch the dataset creation using the information already processed. My cache folder shows the data, meta, and videos folders, and I was able to determine using the episodes.jsonl file in meta... | https://github.com/huggingface/lerobot/issues/1019 | closed | [] | 2025-04-22T21:30:12Z | 2025-04-22T21:45:00Z | null | Anas-7 |
huggingface/peft | 2,508 | How to save the custom module into adapter_model.safetensrs when integrating new peft method | Just don't know where to save and load the module, or something can mark which module need to be saved.
For example, we want a moe of lora, where multi-lora and a router will be the trainable part and need to be saved. | https://github.com/huggingface/peft/issues/2508 | closed | [] | 2025-04-22T15:46:39Z | 2025-04-30T11:01:58Z | null | AaronZLT |
huggingface/lerobot | 1,015 | How to efficiently collect and standardize datasets from multiple Gymnasium environments? | Hello, I am studying how to collect datasets from various Gymnasium environments for reinforcement learning and imitation learning experiments. Currently, I can collect some data from real environments, but how to collect data from Gymnasium? | https://github.com/huggingface/lerobot/issues/1015 | closed | [
"question",
"dataset",
"good first issue"
] | 2025-04-22T08:50:34Z | 2025-10-17T11:16:09Z | null | ybu-lxd |
huggingface/lerobot | 1,013 | When creating dataset, how to save_episode with existing video? | For video with compatible frames, height and width that is recorded/rendered elsewhere, how can I add it to an episode directly without redundant decode-encode round-trip? | https://github.com/huggingface/lerobot/issues/1013 | closed | [
"enhancement",
"dataset",
"stale"
] | 2025-04-22T04:05:10Z | 2025-12-25T02:35:25Z | null | jjyyxx |
huggingface/lerobot | 1,012 | why chunk_size not used in PI0? | https://github.com/huggingface/lerobot/blob/b43ece89340e7d250574ae7f5aaed5e8389114bd/lerobot/common/policies/pi0/modeling_pi0.py#L658
Is it more meaningful and reasonable here to change `n_action_steps` to `chunk_size`, since `chunk_size` means prediction action horizon and `n_action_steps` means action steps actually... | https://github.com/huggingface/lerobot/issues/1012 | closed | [
"question",
"policies",
"stale"
] | 2025-04-22T03:43:38Z | 2025-11-04T02:30:18Z | null | feixyz10 |
huggingface/huggingface_hub | 3,020 | How to run apps in local mode? local_files_only is failing | The app is running perfectly fine when internet available
All models downloaded into
`os.environ['HF_HOME'] = os.path.abspath(os.path.realpath(os.path.join(os.path.dirname(__file__), './hf_download')))`
When i set like below
```
# Set local_files_only based on offline mode
local_files_only = args.offline
if local_... | https://github.com/huggingface/huggingface_hub/issues/3020 | closed | [
"bug"
] | 2025-04-21T23:46:06Z | 2025-04-22T09:24:57Z | null | FurkanGozukara |
pytorch/torchtitan | 1,126 | fully_shard() for huggingface model: pytorch caches too much GPU memory | Dear Community,
I'm working on fine-tuning the Qwen2-VL model using `fully_shard()` and wrote a script for it. However, I noticed that GPU memory usage stays high (around 50GB to 60GB) even as I scale up the number of GPUs. Besides, it will run into OOM when I try to fine tune 72B model with 128 GPUs.
I'm wondering i... | https://github.com/pytorch/torchtitan/issues/1126 | open | [
"question",
"module: fsdp"
] | 2025-04-21T21:37:43Z | 2025-05-13T05:09:52Z | null | mingdianliu |
pytorch/pytorch | 151,829 | profile for torch.add(x, x) where x is a zero-sized tensor looks bogus | ```py
from torch.profiler import profile, record_function, ProfilerActivity
import torch
x = torch.randn(0)
with profile(activities=[ProfilerActivity.CPU], record_shapes=True) as prof:
with record_function("model_inference"):
x + x
print(prof.key_averages().table(sort_by="cpu_time_total", row_limit=10)... | https://github.com/pytorch/pytorch/issues/151829 | closed | [
"oncall: profiler"
] | 2025-04-21T20:53:57Z | 2025-06-07T23:58:54Z | null | zou3519 |
huggingface/finetrainers | 378 | How to finetune CogVideoX1.5-5B T2V LoRA? | Hello. I still unfamiliar with the finetuning process. I want to finetune CogVideoX1.5-5B T2V with LoRA. I have single RTX 4090. I try to re-run the bash script "finetrainers\examples\training\sft\cogvideox\crush_smol_lora\train.sh" with my own dataset and end up with error message
`train.sh: line 130: accelerate: comm... | https://github.com/huggingface/finetrainers/issues/378 | open | [] | 2025-04-21T17:17:08Z | 2025-04-24T06:24:06Z | null | MaulanaYusufIkhsanRobbani |
huggingface/trl | 3,333 | How can I set the dataset to not shuffle? It seems there is no such option. | I'm using GRPOTrainer for training, and based on the logs I've printed, it seems that the dataset is being shuffled. However, the order of samples in the dataset is very important to me, and I don't want it to be shuffled. What should I do? I've checked the documentation but couldn't find any parameter to control this. | https://github.com/huggingface/trl/issues/3333 | closed | [
"❓ question",
"🏋 GRPO"
] | 2025-04-21T11:11:53Z | 2025-04-21T21:34:33Z | null | Tuziking |
pytorch/ao | 2,086 | How to automatically install the latest TorchAO nightly wheel | When I try to install TorchAO the same way I install the nightly torch wheel (pip3 install torchao --index-url https://download.pytorch.org/whl/nightly/cpu), I end up getting version 0.10.0 of TorchAO, instead of the expected https://download.pytorch.org/whl/nightly/cpu/torchao-0.11.0.dev20250418+cpu-py3-none-any.whl f... | https://github.com/pytorch/ao/issues/2086 | open | [
"triaged",
"distribution"
] | 2025-04-21T06:48:43Z | 2025-04-29T22:28:47Z | null | MingxuZh |
huggingface/trl | 3,331 | how to run multi-adapter PPO training in TRL==0.16.1 ? | In `TRL==0.11.0`, we can use multi-adapter to train PPO model like:
- $\pi_\text{sft}$ sft model as base model
- $\pi_\text{sft} + \text{LoRA}_\text{rm}$ as reward model
- $\pi_\text{sft} + \text{LoRA}_\text{policy}$ as policy model
- $\pi_\text{sft} + \text{LoRA}_\text{critic}$ as value model
in v0.16.0 how to run... | https://github.com/huggingface/trl/issues/3331 | closed | [
"❓ question",
"🏋 PPO",
"🏋 SFT"
] | 2025-04-21T06:26:32Z | 2025-06-17T08:59:11Z | null | dhcode-cpp |
huggingface/huggingface_hub | 3,019 | How to solve "Spaces stuck in Building" problems | ### Describe the bug
Public spaces may stuck in Building after restarting, error log as follows:
build error
Unexpected job error
ERROR: failed to push spaces-registry.huggingface.tech/spaces/:cpu--: unexpected status from HEAD request to https://spaces-registry.huggingface.tech/v2/spaces/*/manifests/cpu-*-: 401 Una... | https://github.com/huggingface/huggingface_hub/issues/3019 | closed | [
"bug"
] | 2025-04-21T03:11:11Z | 2025-04-22T07:50:01Z | null | ghost |
huggingface/datasets | 7,530 | How to solve "Spaces stuck in Building" problems | ### Describe the bug
Public spaces may stuck in Building after restarting, error log as follows:
build error
Unexpected job error
ERROR: failed to push spaces-registry.huggingface.tech/spaces/*:cpu-*-*: unexpected status from HEAD request to https://spaces-registry.huggingface.tech/v2/spaces/*/manifests/cpu-*-*: 401... | https://github.com/huggingface/datasets/issues/7530 | closed | [] | 2025-04-21T03:08:38Z | 2025-11-11T00:57:14Z | null | ghost |
huggingface/lerobot | 1,005 | [pi0] n_action_step vs chunk_size | In modeling_pi0.py, the config variable `chunk_size` is never used. Instead, the action queue is set to be the size of `n_action_step`, and the training loss is also calculated on the actions of size `n_action_step`.
But I thought what should happen is that the model would predict actions of length `chunk size` (and ... | https://github.com/huggingface/lerobot/issues/1005 | closed | [
"question",
"policies",
"stale"
] | 2025-04-20T04:00:23Z | 2025-11-07T02:30:27Z | null | IrvingF7 |
pytorch/pytorch | 151,746 | [AotInductor][Export][Triton] how to export custom triton kernels when use torch.export.export | ### 🐛 Describe the bug
our framework is based on torch, and includes some custom triton kernels.
in inference phase, we try use different gpu type(such as training on H100, inference on L40). so we should load exported model and call aoti_compile_and_package to generate aot model based on inference gpu, but error w... | https://github.com/pytorch/pytorch/issues/151746 | open | [
"oncall: pt2",
"export-triaged",
"oncall: export",
"module: aotinductor",
"module: user triton"
] | 2025-04-19T13:26:03Z | 2025-04-25T23:11:04Z | null | zzq96 |
pytorch/executorch | 10,314 | This document（https://pytorch.org/executorch/stable/demo-apps-android.html#running-the-app） is out of date. Where is examples/demo-apps/android/ExecuTorchDemo? | https://pytorch.org/executorch/stable/demo-apps-android.html#running-the-app
cc @mergennachin @iseeyuan @lucylq @helunwencser @tarun292 @... | https://github.com/pytorch/executorch/issues/10314 | closed | [
"module: examples"
] | 2025-04-19T09:36:52Z | 2025-12-23T20:39:22Z | null | Kennems |
huggingface/lerobot | 1,000 | How to implement a new policy? | How can I integrate a new policy (e.g., OpenVLA) into LeRobot, and specifically, which files do I need to modify? | https://github.com/huggingface/lerobot/issues/1000 | closed | [
"enhancement",
"policies"
] | 2025-04-19T08:53:48Z | 2025-07-29T14:30:18Z | null | Elycyx |
huggingface/prettier-plugin-vertical-align | 2 | how to use | https://github.com/huggingface/prettier-plugin-vertical-align#installation
Add plugins: ["@huggingface/prettier-plugin-vertical-align"] to your .prettierrc file.
Are you sure to .prettierrc file? | https://github.com/huggingface/prettier-plugin-vertical-align/issues/2 | closed | [] | 2025-04-19T04:15:29Z | 2025-04-24T02:53:42Z | null | twotwoba |
pytorch/xla | 9,002 | Update debugger documentation to demonstrate lldb | It's possible lldb is faster than gdb. Feature request is to explore if that is true, and if so, write docs on how to use lldb command line and lldb in VSCode.
This is an enhancement of #8997 | https://github.com/pytorch/xla/issues/9002 | open | [
"documentation"
] | 2025-04-18T16:28:50Z | 2025-04-21T12:33:58Z | 0 | yaoshiang |
huggingface/lerobot | 997 | how to convert pi0 fast | i just meet pi0 convert, how to convert pi0 fast
| https://github.com/huggingface/lerobot/issues/997 | closed | [
"question"
] | 2025-04-18T14:27:29Z | 2025-10-14T14:06:30Z | null | ximiluuuu |
huggingface/diffusers | 11,359 | [Feature request] LTX-Video v0.9.6 15x faster inference than non-distilled model. | **Is your feature request related to a problem? Please describe.**
No problem. This request is Low priority. As and when time allows.
**Describe the solution you'd like.**
Please support the new release of LTX-Video 0.9.6
**Describe alternatives you've considered.**
Original repo have support but it is easier to use ... | https://github.com/huggingface/diffusers/issues/11359 | closed | [] | 2025-04-18T08:05:27Z | 2025-05-09T16:03:34Z | 6 | nitinmukesh |
pytorch/xla | 8,997 | Add guide to debugging | For now, it can cover just PyTorch pending #8996 | https://github.com/pytorch/xla/issues/8997 | closed | [
"documentation"
] | 2025-04-17T18:30:31Z | 2025-04-20T08:01:29Z | 0 | yaoshiang |
huggingface/transformers.js | 1,291 | @xenova/transformers vs. @huggingface/transformers npm package | ### Question
It's pretty confusing to have both of these on npm. Which are we supposed to use?
Can you please deprecate the one that we aren't supposed to use? (`npm deprecate`) | https://github.com/huggingface/transformers.js/issues/1291 | open | [
"question"
] | 2025-04-17T16:10:36Z | 2025-10-24T10:19:03Z | null | nzakas |
huggingface/accelerate | 3,510 | Accelerate Config Error - How to debug this? | ### System Info
```Shell
pip list
absl-py 2.2.2
accelerate 1.6.0
annotated-types 0.7.0
bitsandbytes 0.45.5
diffusers 0.33.0.dev0 /data/roy/diffusers
ftfy 6.3.1
huggingface-hub 0.30.2
numpy 2.2.4
nvidia-c... | https://github.com/huggingface/accelerate/issues/3510 | closed | [] | 2025-04-17T11:12:50Z | 2025-05-19T08:46:12Z | null | KihongK |
pytorch/TensorRT | 3,478 | ❓ [Question] Is SAM2 supported when compiling with the Dynamo backend on JetPack 6.1 or 6.2? | ## ❓ Question
Will SAM2 be compatible with the Dynamo backend on JetPack 6.1/6.2?
Are there any workarounds for the TensorRT version mismatch?
## What you have already tried
Here are my attempts and issues encountered, my device is jetson AGX Orin, I only compile the ImageEncoder (Hiera & FPN which remove position_e... | https://github.com/pytorch/TensorRT/issues/3478 | open | [
"question"
] | 2025-04-17T08:32:07Z | 2025-06-28T07:09:31Z | null | AyanamiReiFan |
huggingface/diffusers | 11,351 | Why Wan i2v video processor always float32 datatype? | ### Describe the bug
I found
image = self.video_processor.preprocess(image, height=height, width=width).to(device, dtype=torch.float32)
https://github.com/huggingface/diffusers/blob/29d2afbfe2e09a4ee7cc51455e51ce8b8c0e252d/src/diffusers/pipelines/wan/pipeline_wan_i2v.py#L633
in pipeline_wan_i2v.py
why datatype ... | https://github.com/huggingface/diffusers/issues/11351 | closed | [
"bug"
] | 2025-04-17T07:00:42Z | 2025-05-07T03:48:24Z | 2 | DamonsJ |
pytorch/xla | 8,993 | Is there a way to attach metadata to a layer in a way that is included in the StableHLO export? | ## ❓ Questions and Help
I am looking at a use case where metadata about a trained model's layers needs to be attached to the StableHLO export. I am using `exported_program_to_stablehlo`
One option I had considered is exporting the data completely separately from `exported_program_to_stablehlo` (say, by writing some r... | https://github.com/pytorch/xla/issues/8993 | open | [
"question",
"stablehlo"
] | 2025-04-17T06:04:47Z | 2025-04-25T00:44:25Z | null | j2kun |
huggingface/transformers | 37,570 | How to streaming output audio of Qwen2.5-omni-7b | All the examples of qwen2.5-omni-7b did not show how to streaming output audio, with passing streamer, I am able to get streaming text, but how can I get the streaming audio output? | https://github.com/huggingface/transformers/issues/37570 | closed | [] | 2025-04-17T04:16:35Z | 2025-07-30T08:03:44Z | null | qinxuye |
pytorch/tutorials | 3,332 | Tutorial mention of batch samples as features? | Hello kindly confirm if it is correct to say that the batch_size =64 will give 64 features and 64 labels. Arent there 28 by 28 features and 64 samples ?
<img width="903" alt="Image" src="https://github.com/user-attachments/assets/7fe5d741-58c9-404a-a181-145e2bbfc086" />
| https://github.com/pytorch/tutorials/issues/3332 | open | [] | 2025-04-17T02:35:14Z | 2025-04-17T02:35:58Z | 0 | monaja |
pytorch/xla | 8,986 | When trying to run this code with connection to tpu in google colab i had this error: AssertionError: 4 results for replica 0 | ## ❓ Questions and Help
When trying to run this code in google colab:
```import os
import torch_xla
import torch_xla.core.xla_model as xm
import torch_xla.distributed.xla_multiprocessing as xmp
import torch_xla.runtime as xr
import torchvision
import multiprocessing as mp
os.environ['TPU_NUM_DEVICES'] = '8'
os.envir... | https://github.com/pytorch/xla/issues/8986 | closed | [
"question",
"xla:tpu"
] | 2025-04-16T11:56:22Z | 2025-04-18T12:11:07Z | null | Neckto0 |
huggingface/diffusers | 11,339 | How to multi-GPU WAN inference | Hi,I didn't find multi-gpu inferences example in the documentation. Can you give me an example, such as Wan2.1-I2V-14B-720P-Diffusers.
I would appreciate some help on that, thank you in advance | https://github.com/huggingface/diffusers/issues/11339 | closed | [
"stale"
] | 2025-04-16T10:22:41Z | 2025-07-05T21:18:01Z | null | HeathHose |
huggingface/trl | 3,295 | i have 2 gpu，but default gpu:0,How to specify a gpu:1 for training? | ### Reproduction
```python
from trl import ...
```
outputs:
```
Traceback (most recent call last):
File "example.py", line 42, in <module>
...
```
### System Info
i have 2 gpu，but default gpu:0,How to specify a gpu:1 for training?
### Checklist
- [x] I have checked that my issue isn't already filed (see ... | https://github.com/huggingface/trl/issues/3295 | closed | [
"❓ question",
"📱 cli"
] | 2025-04-15T08:29:26Z | 2025-04-24T19:46:37Z | null | Aristomd |
huggingface/lerobot | 981 | How can I simulate robots without physical robots? How should I learn simulation robots? Do you have any good recommendations? | How can I simulate robots without physical robots? How should I learn simulation robots? Do you have any good recommendations?I am a beginner. | https://github.com/huggingface/lerobot/issues/981 | closed | [
"question",
"simulation"
] | 2025-04-15T04:04:33Z | 2025-10-17T11:19:34Z | null | harryhu0301 |
huggingface/diffusers | 11,321 | flux controlnet train ReadMe have a bug | ### Describe the bug
what is the controlnet config parameters? text is num_single_layers = 10, but the code set num_single_layers=0?
### Reproduction
check readme file
### Logs
```shell
```
### System Info
diffusers ==0.... | https://github.com/huggingface/diffusers/issues/11321 | closed | [
"bug",
"stale"
] | 2025-04-15T01:30:58Z | 2025-10-11T09:58:52Z | 14 | Johnson-yue |
huggingface/agents-course | 428 | [QUESTION] Current schedule is non-sensical | 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**.
The course page states:
> There’s a deadline for the certification process: all the assignments must be finished before May 1st... | https://github.com/huggingface/agents-course/issues/428 | closed | [
"question"
] | 2025-04-14T18:13:31Z | 2025-04-28T06:51:58Z | null | mindcrime |
pytorch/audio | 3,899 | Segmentation fault (core dumped) in torchaudio.io.AudioEffector | ### 🐛 Describe the bug
Occasionally, a core dump error may occur with a specific audio file as input, which a Python exception cannot capture.
This error is rare, but when it does occur, the entire Python process will be killed. It only happens with some ”special audio”. Unfortunately, I did not find out what the sp... | https://github.com/pytorch/audio/issues/3899 | open | [] | 2025-04-14T13:20:04Z | 2025-04-14T13:20:56Z | 0 | LiChenda |
huggingface/lerobot | 975 | [Question] How to modify model & dataset to accept two input images in observation.image? | Hi, thank you for the great repo!
I’ve been going through the first three examples, and now I’d like to explore training a diffusion policy with some customized input. Specifically:
My goal:
I want each observation.image to contain two images as input (they have the same shape as the original single image).
I want t... | https://github.com/huggingface/lerobot/issues/975 | closed | [
"dataset",
"stale"
] | 2025-04-14T08:35:47Z | 2025-11-04T02:30:23Z | null | Keith-Luo |
huggingface/candle | 2,893 | How to build a multi-node inference/training in candle? | Hi team,
I'd like to have an example on mulit-node inference/training of candle, how can I find it?
Thanks :)
-- Klaus | https://github.com/huggingface/candle/issues/2893 | open | [] | 2025-04-14T08:03:20Z | 2025-04-14T08:03:20Z | null | k82cn |
huggingface/chat-ui | 1,795 | Offline Custom Tools | Would it be possible to define/use tools that the LLMs can use in an offline state?
"Tools must use Hugging Face Gradio Spaces as we detect the input and output types automatically from the [Gradio API](https://www.gradio.app/guides/sharing-your-app#api-page)."
Is there any reason that the tools can't be hosted loca... | https://github.com/huggingface/chat-ui/issues/1795 | open | [
"enhancement"
] | 2025-04-14T02:41:19Z | 2025-04-14T02:41:19Z | 0 | cr-intezra |
huggingface/chat-ui | 1,794 | Docker Image and Local Install missing file/image/etc upload | I've used the chat-ui-db:latest image as well as cloning the repo, setting up mongo and npm install/run dev and the UI I get does not have the icons or ability to upload in image or file. It only has the web search button.
This would be for release 0.9.4.
Is there something in .env.local that I am missing to enable t... | https://github.com/huggingface/chat-ui/issues/1794 | open | [] | 2025-04-13T19:30:29Z | 2025-04-13T19:30:29Z | 0 | cr-intezra |
pytorch/audio | 3,898 | forcing other not allowed frequencies to be accepted | I'm trying to work with frequencies below 20hz, preferably at 18,98hz but as the documentation says it only supports above 4000, 8000, and 9000. Even though is there a way to force torch to work with my desire frequency?? please | https://github.com/pytorch/audio/issues/3898 | open | [] | 2025-04-13T15:31:41Z | 2025-04-13T15:31:41Z | 0 | andrewessel |
pytorch/xla | 8,968 | Alternative to torch.select_mask | ## ❓ Questions and Help
Most of the time we can adapted routines to avoid graph recompilations, however there is instance where this is a bit tricky.
When computing a masked mean, we are currently using sum and valids as follows:
```
replaced = input_tensor*is_valid
sum_valid = replaced.sum()
n_valid = is_valid.sum... | https://github.com/pytorch/xla/issues/8968 | closed | [
"question"
] | 2025-04-13T14:38:55Z | 2025-05-01T20:31:05Z | null | ttdd11 |
huggingface/optimum | 2,228 | Unable to convert an audio-to-audio model. | ### Feature request
``` bash
optimum-cli export onnx --model microsoft/speecht5_vc speecht5_vc_onnx/
```
Output:
``` log
The cache for model files in Transformers v4.22.0 has been updated. Migrating your old cache. This is a one-time only operation. You can interrupt this and resume the migration later on by calling... | https://github.com/huggingface/optimum/issues/2228 | closed | [
"Stale"
] | 2025-04-13T00:50:26Z | 2025-05-18T02:17:06Z | 1 | divinerapier |
huggingface/lerobot | 971 | Can different robotic arms share the same dataset and model? | English：
I currently have datasets and models for the Koch, SO100, and ALOHA robotic arms. Is it possible for these three arms to share the same dataset and model? If so, how should this be implemented? If not—given the significant hardware differences—what is the practical value of data sharing in this context?
@Caden... | https://github.com/huggingface/lerobot/issues/971 | closed | [
"question",
"dataset",
"stale"
] | 2025-04-12T05:03:27Z | 2025-10-17T12:06:45Z | null | ZhangWuWei |
pytorch/TensorRT | 3,469 | ❓ [Question] How wo you export a triton kernel with model to a serialized engine that can be run in c++? | ## ❓ Question
<!-- Your question -->
How wo you export a triton kernel with model to a serialized engine that can be run in c++?
## What you have already tried
Read through python examples.
<!-- A clear and concise description of what you have already done. -->
## Environment
> Build information about Torch-Tensor... | https://github.com/pytorch/TensorRT/issues/3469 | open | [
"question"
] | 2025-04-11T16:53:33Z | 2025-12-12T01:58:55Z | null | cmgreen210 |
huggingface/autotrain-advanced | 881 | Accelerators: Error fetching data. how to troubleshoot |
Getting this error message when trying to train my model using Autotrain
Accelerators: Error fetching data
Error fetching training status
My data file is a csv & correctly formatted.
What are possible ways to troubleshoot this problem?
I'm new to fine-tuning so would love any assistance | https://github.com/huggingface/autotrain-advanced/issues/881 | closed | [
"stale"
] | 2025-04-11T16:04:12Z | 2025-06-02T15:02:09Z | null | innerspacestudio |
pytorch/torchtitan | 1,093 | why is shard(1) in the colwiseparallel for lm head? | I found ColwiseParallel here for output linear layer has input_layout Shard(1). In that way, the input will be sharded accross different devices in the sequence dimension, and also the linear layer's output dimension (e.g., vocab dimension) has also been distributed? Is that something desired? Because on my understandi... | https://github.com/pytorch/torchtitan/issues/1093 | closed | [] | 2025-04-11T11:20:02Z | 2025-04-11T11:46:04Z | 0 | wimh966 |
pytorch/torchtitan | 1,092 | Step Time Increase Leading to NCCL Timeout with FSDP2 | **Description**
I am encountering an issue when using fsdp2 where step time significantly increases after a certain number of steps, leading to NCCL timeouts. Initially, each step takes around 2 seconds, as shown in the earlier logs. However, after reaching step 1800, most processes experience a noticeable increase in ... | https://github.com/pytorch/torchtitan/issues/1092 | closed | [
"question"
] | 2025-04-11T10:50:55Z | 2025-04-14T05:24:10Z | null | xhwang22 |
pytorch/torchtitan | 1,091 | FSDP2 root level parameter management | Hi,
I am curious about the design decision of managing both token embeddings and the final output layer at the root fsdp level instead of treating them as different layers like other transformer blocks?
This coupled management seems to unshard the final output layer too early and reshard the token embedding too late ... | https://github.com/pytorch/torchtitan/issues/1091 | closed | [
"question",
"module: fsdp"
] | 2025-04-11T01:54:57Z | 2025-07-29T02:40:22Z | null | dingqingy |
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