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/diffusers | 9,900 | Potential bug in repaint? | https://github.com/huggingface/diffusers/blob/dac623b59f52c58383a39207d5147aa34e0047cd/src/diffusers/schedulers/scheduling_repaint.py#L322
According to line5 of algorithm 1 in the paper, the second part in line 322 should remove the `**0.5`?
thanks! | https://github.com/huggingface/diffusers/issues/9900 | closed | [] | 2024-11-10T10:41:26Z | 2024-12-16T19:38:22Z | 3 | jingweiz |
pytorch/vision | 8,722 | The link of **Multi-view Stereo Correspondence** doesn't exist in the doc | ### 📚 The doc issue
[The link](http://matthewalunbrown.com/patchdata/patchdata.html) of **Multi-view Stereo Correspondence** doesn't exist in [the doc](https://pytorch.org/vision/stable/datasets.html#image-pairs) as shown below:
![Screenshot 2024-11-10 102207](https://github.com/user-attachments/assets/a279a8a3-83... | https://github.com/pytorch/vision/issues/8722 | open | [
"module: documentation"
] | 2024-11-10T01:31:15Z | 2024-11-27T17:56:47Z | 3 | hyperkai |
pytorch/serve | 3,362 | Trying to find a doc explaining how the scaling works (min_worker to max_worker) | ### 📚 The doc issue
Can anyone help out?
### Suggest a potential alternative/fix
_No response_ | https://github.com/pytorch/serve/issues/3362 | open | [] | 2024-11-09T22:01:02Z | 2024-11-09T22:01:02Z | null | lschaupp |
huggingface/finetrainers | 82 | [question] what is the difference between cofgvideo scheduler and normal diffuers scheduler | ### Feature request / 功能建议
CogVideoXDPMScheduler VS DPMSCheduler
CogVideoXDDIMScheduler VS DDIM Scheduler
Hi Aryan, is there any sampling difference between these two sampler?
@a-r-r-o-w
### Motivation / 动机
/
### Your contribution / 您的贡献
/ | https://github.com/huggingface/finetrainers/issues/82 | closed | [] | 2024-11-09T17:15:57Z | 2024-12-19T14:43:23Z | null | foreverpiano |
huggingface/optimum | 2,092 | Add support for RemBERT in the ONNX export | ### Feature request
Add RemBERT to supported architectures for ONNX export.
### Motivation
The support for [RemBert](https://huggingface.co/docs/transformers/model_doc/rembert) was previously available in Transformers see [here](https://github.com/huggingface/transformers/issues/16308). However, now it seems that R... | https://github.com/huggingface/optimum/issues/2092 | closed | [
"onnx"
] | 2024-11-08T15:12:34Z | 2024-12-02T13:54:10Z | 1 | mlynatom |
pytorch/xla | 8,366 | Export training model to StableHlo | ## ❓ Questions and Help
The export API only supports `torch.nn.module` as input, is any method to export a training model with **step_fn** to StableHlo?
Here is a simple training case from [example](https://github.com/pytorch/xla/blob/6454b42fd404d13f2008730ed4ad33b3a91723e3/examples/train_resnet_base.py#L16):
```... | https://github.com/pytorch/xla/issues/8366 | closed | [] | 2024-11-08T08:02:01Z | 2025-01-09T02:00:38Z | 3 | Zantares |
huggingface/lerobot | 502 | Low accuracy for diffusion policy+aloha env+sim_transfer_cude_human dataset | I'm trying to use diffusion model and aloha env to train on sim_transfer_cude_human dataset. But after 60000 training step, the evaluation accuracy is only 2%-6%. Idont know why? If I load pre-trained act policy, the accuracy can reach 80%. | https://github.com/huggingface/lerobot/issues/502 | open | [
"question",
"simulation"
] | 2024-11-08T02:20:14Z | 2025-11-29T02:48:27Z | null | Kimho666 |
pytorch/torchchat | 1,358 | Create doc and tests for distributed inference | ### 🚀 The feature, motivation and pitch
Once distributed inference integration into torchchat is functional, let's add a docs/distributed.md with an example, and plumb that example into `.ci/scripts/run-docs distributed`. (updown.py extracts all commands between triple backticks into a test script.)
torchchat ha... | https://github.com/pytorch/torchchat/issues/1358 | closed | [
"documentation",
"actionable",
"Distributed",
"triaged"
] | 2024-11-08T02:08:33Z | 2025-01-18T06:15:01Z | 2 | mikekgfb |
huggingface/local-gemma | 41 | How to load from file? | How to load model from file, eg. .h5 file, instead of downloading the model?
Especially the model saved by keras_nlp. | https://github.com/huggingface/local-gemma/issues/41 | open | [] | 2024-11-07T03:01:25Z | 2024-11-07T03:03:31Z | null | datdq-abivin |
pytorch/FBGEMM | 3,338 | how to add -r in build instructions ? | <img width="1053" alt="image" src="https://github.com/user-attachments/assets/63c8565c-55b6-4ee0-a209-60862c51fe68">
| https://github.com/pytorch/FBGEMM/issues/3338 | open | [] | 2024-11-07T02:06:21Z | 2024-11-07T06:03:40Z | null | zhaozheng09 |
pytorch/xla | 8,359 | Query regarding using 1 chip (2 cores of TPU v3) for Inference | ## ❓ Questions and Help
Hello,
I am trying to benchmark the performance of TPU v3 for inference. However, I would like to use 2 cores (1 chip).
Please point me to any documentation that I can get started on.
Also, is it possible to launch 2 inferences on 2 cores as separate independent processes? (This would just... | https://github.com/pytorch/xla/issues/8359 | open | [
"question",
"xla:tpu"
] | 2024-11-06T18:03:21Z | 2025-02-18T12:45:15Z | null | deepakkumar2440 |
pytorch/vision | 8,713 | `torchvision.ops.boxes.batched_nms` slow on large box numbers | ### 🐛 Describe the bug
## Description
`torchvision.ops.boxes.batched_nms` on CUDA GPU slows down considerably when then number of bounding boxes involved increases.
The slow down is associated with Device -> Host transfer, and is linked to the iterative part of the Non Maximum Suppression (NMS) algorithm. In a ... | https://github.com/pytorch/vision/issues/8713 | closed | [] | 2024-11-06T12:58:13Z | 2025-02-20T17:16:10Z | 1 | Ghelfi |
huggingface/diffusers | 9,876 | Why isn’t VRAM being released after training LoRA? | ### Describe the bug
When I use train_dreambooth_lora_sdxl.py, the VRAM is not released after training. How can I fix this?
### Reproduction
Not used.
### Logs
_No response_
### System Info
- 🤗 Diffusers version: 0.31.0.dev0
- Platform: Linux-5.14.0-284.25.1.el9_2.x86_64-x86_64-with-glibc2.17
- Running on G... | https://github.com/huggingface/diffusers/issues/9876 | open | [
"bug",
"stale"
] | 2024-11-06T11:58:59Z | 2024-12-13T15:03:25Z | 14 | hjw-0909 |
pytorch/ao | 1,230 | How to skip decomposition of dequantize_affine and quantize_affine custom ops in inductor? | I want to use the `torch.ops.quant.quantize_affine` (Q) and `torch.ops.quant.dequantize_affine` (DQ) to represent a quant model DAG in QDQ style, and do quant fusion using inductor's [pattern matcher](https://github.com/pytorch/pytorch/blob/main/torch/_inductor/pattern_matcher.py), for instance:
```
x(i8) w(i8)... | https://github.com/pytorch/ao/issues/1230 | closed | [] | 2024-11-06T08:01:46Z | 2024-11-12T05:35:06Z | null | Nullkooland |
huggingface/diffusers | 9,866 | Flux controlnet can't be trained, do this script really work? | ### Describe the bug
run with one num processes, the code broke down and returns:
RuntimeError: Expected to have finished reduction in the prior iteration before starting a new one. This error indicates that your module has parameters that were not used in producing loss. You can enable unused parameter detection by ... | https://github.com/huggingface/diffusers/issues/9866 | closed | [
"bug",
"stale"
] | 2024-11-05T08:51:57Z | 2024-12-05T15:19:12Z | 4 | liuyu19970607 |
pytorch/executorch | 6,655 | How To Building and Running Llama 3.2 1B Instruct with Qualcomm AI Engine Direct Backend？ | ### Right Case
When I follow the doc : https://github.com/pytorch/executorch/blob/main/examples/models/llama/README.md#enablement,
I export the Llama3.2-1B-Instruct:int4-spinquant-eo8 model to xnnpack backend pte successfully, and working alright on cpu.
[
![SpinQuant_XNNPACK](https://github.com/user-attachments/... | https://github.com/pytorch/executorch/issues/6655 | open | [
"partner: qualcomm",
"triaged",
"module: qnn",
"module: llm"
] | 2024-11-05T08:00:19Z | 2025-12-19T19:15:57Z | null | baotonghe |
pytorch/serve | 3,357 | 413 Request Entity Too Large | ### 📚 The doc issue
When making a request, sometimes 413 Request Entity Too Large is reported. Is there any configuration for torchserve that can increase the threshold of request size?
### Suggest a potential alternative/fix
_No response_ | https://github.com/pytorch/serve/issues/3357 | open | [] | 2024-11-05T02:38:59Z | 2025-01-12T05:21:34Z | 1 | pengxin233 |
pytorch/tutorials | 3,143 | New Search Engine should link to right branch (stable/main/preview pr branch) | The search feature should match the branch that the docs loaded in. Why? The use case I often have is I use the search bar to quickly navigate to the page I had just edited in my PR to see how it'd render in prod. The new search engine produces results that always directs to stable, though, so there's no easy way to na... | https://github.com/pytorch/tutorials/issues/3143 | closed | [
"regression"
] | 2024-11-04T19:42:26Z | 2024-11-19T19:19:34Z | 0 | janeyx99 |
pytorch/xla | 8,355 | Offer user guide instructions to users to leverage various `libtpu` versions | ## 📚 Documentation
Offer user guide instructions to users to leverage various `libtpu` versions. We want users to have a clear understanding of how to set their expectations when choosing between different libtpu options.
Here is a snippet of various libtpu version. I will add more details (as needed) to this bu... | https://github.com/pytorch/xla/issues/8355 | closed | [
"usability",
"documentation"
] | 2024-11-04T18:12:13Z | 2025-03-03T18:32:33Z | 15 | miladm |
huggingface/optimum-quanto | 346 | How to support activation 4bit quantization? | As mentioned in title. | https://github.com/huggingface/optimum-quanto/issues/346 | closed | [
"Stale"
] | 2024-11-04T09:59:21Z | 2024-12-10T02:10:31Z | null | Ther-nullptr |
pytorch/vision | 8,714 | I am using the torchvision-0.13.1+cu113 version, but it seems that it does not have the datapoints package. How can I solve this issue? | ### 🐛 Describe the bug
I am using the torchvision-0.13.1+cu113 version, but it seems that it does not have the datapoints package. How can I solve this issue?
### Versions
I am using the torchvision-0.13.1+cu113 version, but it seems that it does not have the datapoints package. How can I solve this issue? | https://github.com/pytorch/vision/issues/8714 | closed | [] | 2024-11-04T07:23:48Z | 2024-12-11T09:35:34Z | 5 | jiangsu415 |
huggingface/transformers | 34,591 | How to retrain the GLIP model on the Object365 dataset | Since I made some modifications to the GLIP model, I need to perform some pre-training again to improve performance. I replaced `_base_ = [../_base_/datasets/coco_detection.py]` with `_base_ = [../_base_/datasets/objects365v1_detection.py]` in `glip_atss_swin-t_a_fpn_dyhead_16xb2_ms-2x_funtune_coco.py` to train on Obje... | https://github.com/huggingface/transformers/issues/34591 | closed | [] | 2024-11-04T03:54:17Z | 2024-11-04T06:46:17Z | null | Polarisamoon |
huggingface/diffusers | 9,847 | Merge Lora weights into base model | I have finetuned the stable diffusion model and would like to merge the lora weights into the model itself. Currently I think in PEFT this is supported using `merge_and_unload` function but I seem to not find this option in diffusers. So is there any way to get a base model but with finetuned weights and If i am not wr... | https://github.com/huggingface/diffusers/issues/9847 | closed | [] | 2024-11-02T18:00:28Z | 2024-11-03T03:03:45Z | 1 | yaswanth19 |
huggingface/chat-ui | 1,550 | Add full-text search in chat history | ## Describe your feature request
Allow users to search for specific keywords or phrases within the chat history, making it easier to find and recall previous conversations.
## Screenshots (if relevant)
An example of the search bar placement could be found in #1079
## Implementation idea
One possible impl... | https://github.com/huggingface/chat-ui/issues/1550 | closed | [
"enhancement"
] | 2024-11-01T19:27:41Z | 2025-05-28T15:03:19Z | 5 | kadykov |
pytorch/torchchat | 1,338 | can't build AOTI runner | ### 🐛 Describe the bug
`torchchat/utils/scripts/build_native.sh aoti`
Fails with
```
Building aoti native runner...
Defaulting TORCHCHAT_ROOT to /home/warden/source/torchchat/torchchat/utils/scripts/../../.. since it is unset.
~/source/torchchat ~/source/torchchat
Synchronizing submodule url for 'tokenizer/t... | https://github.com/pytorch/torchchat/issues/1338 | closed | [] | 2024-11-01T17:52:21Z | 2024-11-01T21:36:12Z | 1 | byjlw |
huggingface/diffusers | 9,837 | [Feature] Is it possible to customize latents.shape / prepare_latent for context parallel case? | **Is your feature request related to a problem? Please describe.**
One may need to extend the code to context parallel case and the latent sequence length needs to get divided.
Instead of copying all the code of pipeline.py, the minimum modification is just adding few lines about dividing the latent shape and all_gat... | https://github.com/huggingface/diffusers/issues/9837 | closed | [
"stale"
] | 2024-11-01T14:32:05Z | 2024-12-01T15:07:36Z | 3 | foreverpiano |
huggingface/diffusers | 9,836 | [Feature] Can we record layer_id for DiT model? | **Is your feature request related to a problem? Please describe.**
Some layerwise algorithm may be based on layer-id.
just need some simple modification for transformer2Dmodel and its inner module like attention part, batch_norm part. just pass the layer_id as an extra parameter.
| https://github.com/huggingface/diffusers/issues/9836 | closed | [
"stale"
] | 2024-11-01T14:26:31Z | 2025-01-27T01:31:21Z | 9 | foreverpiano |
huggingface/diffusers | 9,835 | unused parameters lead to error when training contrlnet_sd3 | ### Discussed in https://github.com/huggingface/diffusers/discussions/9834
<div type='discussions-op-text'>
<sup>Originally posted by **Zheng-Fang-CH** November 1, 2024</sup>
Is there someone mee... | https://github.com/huggingface/diffusers/issues/9835 | closed | [] | 2024-11-01T13:57:03Z | 2024-11-17T07:33:25Z | 6 | Daryu-Fan |
huggingface/diffusers | 9,833 | SD3.5-large. Why is it OK when calling with a single thread, but not with multiple threads? | ### Describe the bug
First, I created a SD3.5-large service:
```python
import os
os.environ["CUDA_VISIBLE_DEVICES"] = "1"
import uuid
from diffusers import BitsAndBytesConfig, SD3Transformer2DModel, DDIMScheduler, DDPMParallelScheduler
from diffusers import StableDiffusion3Pipeline
import torch
from transf... | https://github.com/huggingface/diffusers/issues/9833 | closed | [
"bug"
] | 2024-11-01T08:00:04Z | 2024-11-02T02:14:50Z | 1 | EvanSong77 |
huggingface/diffusers | 9,825 | Support IPAdapters for FLUX pipelines | ### Model/Pipeline/Scheduler description
IPAdapter for FLUX is available now, do you have any plans to add IPAdapter to FLUX pipelines?
### Open source status
- [X] The model implementation is available.
- [X] The model weights are available (Only relevant if addition is not a scheduler).
### Provide useful links f... | https://github.com/huggingface/diffusers/issues/9825 | closed | [
"help wanted",
"wip",
"contributions-welcome",
"IPAdapter"
] | 2024-10-31T23:07:32Z | 2024-12-21T17:49:59Z | 10 | chenxiao111222 |
huggingface/diffusers | 9,822 | Loading SDXL loras into Flux | ### Describe the bug
Currently it's possible to load SDXL loras without warning into Flux.
### Reproduction
Is it possible for you to implement a raise a warning (and an error when a boolean is active) when the list of layers here is zero:
https://github.com/huggingface/diffusers/blob/41e4779d988ead99e7acd78dc8e7... | https://github.com/huggingface/diffusers/issues/9822 | closed | [
"bug"
] | 2024-10-31T18:01:29Z | 2024-12-10T14:37:32Z | 8 | christopher5106 |
huggingface/datasets | 7,268 | load_from_disk | ### Describe the bug
I have data saved with save_to_disk. The data is big (700Gb). When I try loading it, the only option is load_from_disk, and this function copies the data to a tmp directory, causing me to run out of disk space. Is there an alternative solution to that?
### Steps to reproduce the bug
when trying ... | https://github.com/huggingface/datasets/issues/7268 | open | [] | 2024-10-31T11:51:56Z | 2025-07-01T08:42:17Z | 3 | ghaith-mq |
pytorch/xla | 8,342 | Instructions in CONTRIBUTING.md for using VS Code don't seem to work | ## 📚 Documentation
I've followed the instructions in CONTRIBUTING.md to set up a dev environment using VS Code. Next I run python and then tried to import torch_xla as xla and I get an error:
```
>>> import torch_xla as xla
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "/works... | https://github.com/pytorch/xla/issues/8342 | closed | [
"documentation"
] | 2024-10-30T18:16:38Z | 2024-10-30T18:36:37Z | 1 | mikegre-google |
huggingface/peft | 2,188 | How to change 'modules_to_save' setting when reloading a lora finetuned model | ### System Info
- `transformers` version: 4.36.2
- Platform: Linux-3.10.0-1160.49.1.el7.x86_64-x86_64-with-glibc2.17
- Python version: 3.9.19
- Huggingface_hub version: 0.24.6
- Safetensors version: 0.4.5
- Accelerate version: 0.21.0
- Accelerate config: not found
- PyTorch version (GPU?): 2.0.1+cu117 (True)... | https://github.com/huggingface/peft/issues/2188 | closed | [] | 2024-10-30T12:26:37Z | 2024-12-08T15:03:37Z | null | dengchengxifrank |
huggingface/huggingface.js | 996 | @huggingface/hub: how to use `modelInfo` with proper typing | THe `modelInfo` method is allowing the caller to define which field will be provided, it has been added in https://github.com/huggingface/huggingface.js/pull/946
https://github.com/huggingface/huggingface.js/blob/186ab738e2f9c7c3613330d45e44848186958815/packages/hub/src/lib/model-info.ts#L9-L11
Here is an example... | https://github.com/huggingface/huggingface.js/issues/996 | closed | [] | 2024-10-30T10:41:36Z | 2024-10-30T12:02:47Z | null | axel7083 |
huggingface/diffusers | 9,802 | Multidiffusion (panorama pipeline) is missing segmentation inputs? | I'm looking at the multidiffusion panorama pipeline page (https://huggingface.co/docs/diffusers/en/api/pipelines/panorama). It looks like there is no way to specify the segmentation and associated prompts as in the original paper https://multidiffusion.github.io/ . If the code only has the panorama capability and not t... | https://github.com/huggingface/diffusers/issues/9802 | open | [
"stale"
] | 2024-10-29T20:15:15Z | 2024-12-24T15:03:30Z | 5 | jloveric |
pytorch/TensorRT | 3,267 | ❓ [Question] How do you properly deploy a quantized model with tensorrt | ## ❓ Question
I have a PTQ model and a QAT model trained with the official pytorch API following the quantization tutorial, and I wish to deploy them on TensorRT for inference. The model is metaformer-like using convolution layers as token mixer. One part of the quantized model looks like this:
![image](https://githu... | https://github.com/pytorch/TensorRT/issues/3267 | open | [
"question"
] | 2024-10-29T15:06:54Z | 2025-03-03T22:30:06Z | null | Urania880519 |
pytorch/torchtitan | 658 | Questions about FSDP2 support and memory usage. | What is current support of FSDP2 in main pytorch?
I just see this here https://github.com/pytorch/pytorch/blob/main/torch/distributed/_composable/fully_shard.py#L45
> "`torch.distributed._composable.fully_shard` will be removed after PyTorch 2.5."
Will FSDP2 be deprecated? Can FSDP1 work with DTensor as well as ... | https://github.com/pytorch/torchtitan/issues/658 | closed | [
"question"
] | 2024-10-29T11:09:01Z | 2025-08-21T02:57:19Z | null | tangjiasheng |
huggingface/transformers.js | 1,000 | Error while converting LLama-3.1:8b to ONNX | ### Question
Hey @xenova,
Thanks a lot for this library! I tried converting [`meta-llama/Llama-3.1-8B-Instruct`](https://huggingface.co/meta-llama/Llama-3.1-8B-Instruct) to ONNX using the following command (on `main`):
```bash
python -m scripts.convert --quantize --model_id "meta-llama/Llama-3.1-8B-Instruct"
`... | https://github.com/huggingface/transformers.js/issues/1000 | open | [
"question"
] | 2024-10-29T09:40:14Z | 2024-10-29T09:40:14Z | null | charlesbvll |
pytorch/torchchat | 1,334 | Multimodal Eval Enablement (Looking for Developer to Implement Design) | ### 🚀 The feature, motivation and pitch
***Please note that since the actual implementation is going to be simple, and the design has already been reviewed, the purpose of this GitHub Issue is to look for a developer to implement this feature ASAP.***
LLM eval stands for the process of assessing the perplexity, ... | https://github.com/pytorch/torchchat/issues/1334 | closed | [
"enhancement",
"good first issue",
"actionable",
"Llama 3.2- Multimodal",
"triaged"
] | 2024-10-29T01:01:50Z | 2025-03-25T06:24:18Z | 26 | Olivia-liu |
huggingface/chat-ui | 1,545 | Support markdown & code blocks in text input | ## Describe your feature request
Would be nice to support code block in the text input bar, that would make it easier to input code. we could also support basic markdown features like bold or italic, maybe not headings tho.
## Screenshots (if relevant)
Try https://claude.ai/new to see an example of how this co... | https://github.com/huggingface/chat-ui/issues/1545 | open | [
"enhancement",
"front"
] | 2024-10-28T08:42:58Z | 2024-11-11T20:26:32Z | 2 | nsarrazin |
huggingface/peft | 2,181 | How can I do to export mode format as gguf | ### Feature request
This is a good project,I just got it today and encountered some problems.
my any code
``` python
from peft import AutoPeftModelForCausalLM
from transformers import AutoTokenizer, AutoModelForCausalLM
tokenizer = AutoTokenizer.from_pretrained("Qwen2-0.5B")
model = AutoModelForCausalL... | https://github.com/huggingface/peft/issues/2181 | closed | [] | 2024-10-26T13:51:45Z | 2024-10-26T13:59:18Z | null | xu756 |
pytorch/xla | 8,327 | Add documentations for persistent caching | ## 📚 Documentation
Add documentations for persistent caching; the [current documentation](https://github.com/pytorch/xla/blob/310ff8f41858db7782f97542e76aeb60fa527d14/API_GUIDE.md#compilation-caching) briefly explains how to enable the cache. Though, it does little to
1. introduce the feature
2. explain what p... | https://github.com/pytorch/xla/issues/8327 | open | [
"documentation"
] | 2024-10-26T01:01:36Z | 2024-10-26T01:01:37Z | 0 | miladm |
huggingface/diffusers | 9,772 | Support ControlNetPlus Union if not already supported | It's not clear if ControlNetPlus is already supported by diffusers https://github.com/xinsir6/ControlNetPlus/tree/main/pipeline which consists of union controlnet for SDXL. This model seems to support the only SDXL segmentation that I'm aware of. If not already supported, it should be!
https://github.com/xinsir6/Con... | https://github.com/huggingface/diffusers/issues/9772 | closed | [
"help wanted",
"Good second issue",
"contributions-welcome"
] | 2024-10-25T17:43:43Z | 2024-12-11T17:07:54Z | 5 | jloveric |
huggingface/transformers.js | 994 | Will these mistakes have an impact? | ### Question
After AutoProcessor.from_pretrained is loaded, an error occurred, and the error message is as follows:
````typescript
ort-wasm-simd-thread…jsep.wasm:0x10367e0 2024-10-25 20:11:31.705399 [W:onnxruntime:, session_state.cc:1168 VerifyEachNodeIsAssignedToAnEp] Some nodes were not assigned to the preferred e... | https://github.com/huggingface/transformers.js/issues/994 | open | [
"question"
] | 2024-10-25T12:17:03Z | 2024-11-12T11:10:11Z | null | aidscooler |
pytorch/vision | 8,696 | PyTorch & Torchvision compatible issue on Jetson Orin | ### 🐛 Describe the bug
Previous discussion: https://forums.developer.nvidia.com/t/pytorch-torchversion-compatible-issue-on-l4t35-5-0/310929/9
```bash
daniel@daniel-nvidia:~/Work/yolov5$ python detect.py --weights yolov5s.pt --source ../../Videos/Worlds_longest_drone_fpv_one_shot.mp4
WARNING ⚠️ Python>=3.10 i... | https://github.com/pytorch/vision/issues/8696 | open | [] | 2024-10-25T07:12:11Z | 2024-10-25T07:28:44Z | 0 | lida2003 |
huggingface/transformers.js | 993 | How do I know the loading progress when loading .onnx file? | ### Question
Because the .onnx file is large(about 170M)，I decided to provide a loading progress. Code as below:
```` typescript
const modelSettings = {
// Do not require config.json to be present in the repository
config: { model_type: "custom" },
subfolder: "",
proces... | https://github.com/huggingface/transformers.js/issues/993 | open | [
"question"
] | 2024-10-25T05:52:12Z | 2024-10-25T17:54:30Z | null | aidscooler |
huggingface/finetrainers | 70 | How to set the resolutions when finetuning I2V model? | I want to train a video diffusion with lower resolutions. I set the height_buckets=256 and width_buckets=256 in prepare_dataset.sh and process the data. But I run into the following error while run the train_image_to_video_lora.sh script.
ValueError: It is currently not possible to generate videos at a different res... | https://github.com/huggingface/finetrainers/issues/70 | closed | [] | 2024-10-25T05:36:19Z | 2024-11-11T18:27:29Z | null | TousakaNagio |
huggingface/optimum | 2,080 | "ValueError: Trying to export a codesage model" while trying to export codesage/codesage-large | ### System Info
```shell
optimum 1.23.2
MacOS 14.7
Python 3.9
```
### Who can help?
@michaelbenayoun
### Information
- [ ] The official example scripts
- [ ] My own modified scripts
### Tasks
- [ ] An officially supported task in the `examples` folder (such as GLUE/SQuAD, ...)
- [X] My own task or dataset (g... | https://github.com/huggingface/optimum/issues/2080 | open | [
"bug"
] | 2024-10-25T05:27:22Z | 2024-10-25T05:27:22Z | 0 | TurboEncabulator9000 |
pytorch/pytorch | 138,888 | How to Implement multi-card parallel Inference by torchrun? | Hello everyone, I'm trying to achieve a goal of using trochrun for dual-card parallel inference. Then I have two questions. First, I found that torchrun is mainly used for model training, so can it be used for model inference? If can, my inference process is divided into two parts: model loading and inference. I only w... | https://github.com/pytorch/pytorch/issues/138888 | closed | [
"oncall: distributed"
] | 2024-10-25T03:52:20Z | 2024-11-27T01:05:31Z | null | lcf2610 |
huggingface/chat-ui | 1,543 | RFC enable multimodal and tool usage at once for OAI endpoints ? | https://github.com/huggingface/chat-ui/blob/8ed1691ecff94e07d10dfb2874d3936d293f4842/src/lib/server/endpoints/openai/endpointOai.ts#L191C53-L191C65
Just played around with combining both of this
What do you think about making tool calling only if no image is in conversation ?
Otherwise we need to insert models twi... | https://github.com/huggingface/chat-ui/issues/1543 | open | [] | 2024-10-24T17:37:50Z | 2024-10-24T17:39:14Z | 0 | flozi00 |
pytorch/tutorials | 3,113 | 💡 [REQUEST] - Update tutorials with device-generic APIs | ### 🚀 Describe the improvement or the new tutorial
We should use the latest device-generic APIs when they come out in 2.6 in all tutorials to improve readability.
### Existing tutorials on this topic
https://pytorch.org/tutorials/beginner/basics/buildmodel_tutorial is an example of one we should update. There is mo... | https://github.com/pytorch/tutorials/issues/3113 | closed | [] | 2024-10-24T17:33:29Z | 2025-01-29T09:35:10Z | 3 | albanD |
huggingface/transformers.js | 991 | Loading models from "non-URL" locations in the browser | ### Question
Hi! I have an application where the model files will be pre-loaded in a custom format into the browsers IndexDb. Based on my understanding, transformer.js currently only supports loading models by URL and then caches them in the browser cache. Getting the model files from the IndexDb instead, seems a li... | https://github.com/huggingface/transformers.js/issues/991 | open | [
"question"
] | 2024-10-24T12:18:19Z | 2024-12-04T19:30:07Z | null | AKuederle |
huggingface/finetrainers | 68 | How to set the hyperparameters when finetuning I2V model with LoRA? | File "/home/shinji106/ntu/cogvideox-factory/training/dataset.py", line 411, in __iter__
self.buckets[(f, h, w)].append(data)
KeyError: (16, 320, 720)
The resolution is (13, 320, ... | https://github.com/huggingface/finetrainers/issues/68 | closed | [] | 2024-10-24T08:06:33Z | 2025-01-10T23:40:06Z | null | TousakaNagio |
huggingface/datasets | 7,249 | How to debugging | ### Describe the bug
I wanted to use my own script to handle the processing, and followed the tutorial documentation by rewriting the MyDatasetConfig and MyDatasetBuilder (which contains the _info,_split_generators and _generate_examples methods) classes. Testing with simple data was able to output the results of the ... | https://github.com/huggingface/datasets/issues/7249 | open | [] | 2024-10-24T01:03:51Z | 2024-10-24T01:03:51Z | null | ShDdu |
huggingface/sentence-transformers | 3,015 | How to customize the dataloader? e.g. Custom Data Augmentation | Hi,
I've always been used to the old .fit behaviour where I could pass in the good DataLoader, implementing the Dataset myself, according to my needs.
With the new trainer interface, how am I supposed to tweak the dataloader?
Let's say I want to apply some random transformations to the input text, how can I d... | https://github.com/huggingface/sentence-transformers/issues/3015 | open | [] | 2024-10-23T17:11:13Z | 2024-11-15T10:32:35Z | null | msciancalepore98 |
huggingface/diffusers | 9,756 | Could not find loading_adapters.ipynb | ### Describe the bug
while reading doc [Load adapters](https://huggingface.co/docs/diffusers/using-diffusers/loading_adapters)
I tried to open in Colab to run an example on this page.
<img width="504" alt="open_colab" src="https://github.com/user-attachments/assets/0b1397f1-d266-4d83-84ab-276ea796a2a4">
I... | https://github.com/huggingface/diffusers/issues/9756 | closed | [
"bug"
] | 2024-10-23T13:03:11Z | 2024-11-01T15:27:56Z | 6 | thliang01 |
huggingface/accelerate | 3,190 | How to save the optimizer state while enabling Deepspeed to save the model | ### System Info
```Shell
Unrelated to configuration
```
### Information
- [X] The official example scripts
- [ ] My own modified scripts
### Tasks
- [ ] One of the scripts in the examples/ folder of Accelerate or an officially supported `no_trainer` script in the `examples` folder of the `transformers` repo (such... | https://github.com/huggingface/accelerate/issues/3190 | closed | [] | 2024-10-23T11:58:08Z | 2024-11-01T02:53:38Z | null | ITerydh |
huggingface/diffusers | 9,750 | Is it possible to provide img2img code for CogView3? | Is it possible to provide img2img code for CogView3? | https://github.com/huggingface/diffusers/issues/9750 | open | [
"stale",
"contributions-welcome"
] | 2024-10-23T07:40:38Z | 2024-12-20T15:04:01Z | 3 | ChalvYongkang |
pytorch/serve | 3,352 | GPU not detected inside torchserve docker container | ### 🐛 Describe the bug
I am trying to create a Docker image for my custom handler of diffusers. I can create the Docker image and then a Docker container from it, but the Docker container is not able to detect the GPU. I have used the official TorchServe Docker image from Docker Hub, but it still cannot use the GPU... | https://github.com/pytorch/serve/issues/3352 | closed | [] | 2024-10-23T06:47:13Z | 2024-10-23T10:36:06Z | 1 | dummyuser-123 |
pytorch/xla | 8,301 | Provide debugging and troubleshooting tips to Pallas developer | ## 📚 Documentation
Please provide documentation on how to troubleshoot pallas issues. One place we can put this information is in this [Pallas doc](https://github.com/pytorch/xla/blob/master/docs/source/features/pallas.md)
cc @mikegre-google to help review the upcoming PR | https://github.com/pytorch/xla/issues/8301 | open | [
"documentation"
] | 2024-10-22T22:50:15Z | 2024-10-25T21:58:56Z | 0 | miladm |
huggingface/optimum | 2,076 | Problem converting tinyllama to onnx model with optimum-cli | ### System Info
```shell
main branch newest
local pip install
```
### Who can help?
@michaelbenayoun
### Information
- [X] The official example scripts
- [ ] My own modified scripts
### Tasks
- [X] An officially supported task in the `examples` folder (such as GLUE/SQuAD, ...)
- [ ] My own task or dataset (g... | https://github.com/huggingface/optimum/issues/2076 | open | [
"bug"
] | 2024-10-22T06:23:51Z | 2024-10-22T06:36:42Z | 0 | hayyaw |
pytorch/torchtitan | 639 | How to load previous distributed checkpoint after using FP8Linear + torch.compile? | FP8Linear + torch.compile is changing the parameters's name.
If I do convert to FP8Linear -> torch.compile -> fsdp2 wrapping -> load distributed ckpt, the parameters's names do not match with the ckpt we want to resume from. And it's not straightforward to change the parameters's names in the distributed ckpt.
T... | https://github.com/pytorch/torchtitan/issues/639 | closed | [] | 2024-10-21T23:27:33Z | 2024-10-25T18:35:40Z | null | goldhuang |
pytorch/ao | 1,132 | What is the expected inference steps after I apply torchao in training?
| Hello, I have integrated torchao to my training. But I don't think it's 100% clear what the inference should be like.
Should I use the converted FP8 linear layer to do inference? Is delayed scaling supposed to work in inference?
Or, should I use the original linear layer to do inference?
Thanks a lot in advance ... | https://github.com/pytorch/ao/issues/1132 | closed | [
"float8"
] | 2024-10-21T22:19:57Z | 2024-12-09T18:59:50Z | null | goldhuang |
pytorch/torchtitan | 638 | What is the expected inference steps after I apply torchao in training? | Hello, I have integrated torchao to my training. But I think it's not very clear what the inference should be like.
Should I use the converted FP8 linear layer to do inference? Is delayed scaling supposed to work in inference?
Or, should I use the original linear layer to do inference?
Thanks in advance if you can... | https://github.com/pytorch/torchtitan/issues/638 | open | [
"question"
] | 2024-10-21T22:19:06Z | 2024-10-22T03:33:39Z | null | goldhuang |
pytorch/xla | 8,295 | litepod and tpu sample not working anymore: https://cloud.google.com/tpu/docs/pytorch-pods | ## 🐛 Bug
Sample located here doesn't seem to work on tpu v5e16 pod (previous did as of 3 days ago) https://cloud.google.com/tpu/docs/pytorch-pods
## To Reproduce
Following the steps here: https://cloud.google.com/tpu/docs/pytorch-pods
Before running the example:
1. set up SSH key pair using: ssh-keygen -t... | https://github.com/pytorch/xla/issues/8295 | closed | [] | 2024-10-21T16:43:31Z | 2024-10-22T00:54:24Z | 8 | ttdd11 |
huggingface/diffusers | 9,731 | How to use Playground2.5 to train lora with own dataset to generate pictures of a specific style？ | ### Describe the bug
Hi,
I have been working on training models using the same dataset as "stabilityai/stable-diffusion-xl-base-1.0" with the script examples/text_to_image/train_text_to_image_lora_sdxl.py, and I achieved quite promising results.
Now, I am trying to further improve the performance by switching to... | https://github.com/huggingface/diffusers/issues/9731 | open | [
"bug",
"stale"
] | 2024-10-21T12:10:12Z | 2024-11-20T15:03:04Z | null | hjw-0909 |
huggingface/diffusers | 9,727 | FLUX.1-dev dreambooth save problem trained on multigpu | ### Describe the bug
I tried to train flux using accelerate and deepspeed, but when using two L40s, the model could not be saved properly. What is the problem?
### Reproduction
train.sh:
accelerate launch --config_file config.yaml train_flux.py \
--pretrained_model_name_or_path="./FLUX.1-dev" \
--resolution=1... | https://github.com/huggingface/diffusers/issues/9727 | closed | [
"bug"
] | 2024-10-21T03:37:23Z | 2024-10-29T06:38:00Z | 1 | jyy-1998 |
huggingface/diffusers | 9,726 | FLUX.1-dev dreambooth problem trained on multigpu | ### Describe the bug
I tried to use accelerate and deepspeed to train flux, and it worked fine when using two L40s, but an error occurred when using two a100s. What is the reason?
### Reproduction
train.sh:
accelerate launch --config_file config.yaml train_flux.py \
--pretrained_model_name_or_path="./FLUX.1-dev"... | https://github.com/huggingface/diffusers/issues/9726 | closed | [
"bug"
] | 2024-10-21T03:20:44Z | 2024-10-21T03:32:42Z | 0 | jyy-1998 |
huggingface/tokenizers | 1,661 | How to Read Information in Large Tokenizer's Vocabulary | TLDR; This is how the byte-level BPE works. Main advantages are:
- Smaller vocabularies
- No unknown token
This is totally expected behavior. The byte-level BPE converts all the Unicode code points into multiple byte-level characters:
1. Each Unicode code point is decomposed into bytes (1 byte for ASCII characte... | https://github.com/huggingface/tokenizers/issues/1661 | closed | [] | 2024-10-20T13:38:53Z | 2024-10-21T07:29:43Z | null | kaizhuanren |
pytorch/torchtitan | 636 | DDP + Pipeline parallelism | For fine tuning/training with `PP + DDP`, is there documentation or modification that can be done to achieve this using torchtitan?
The following check in `parallelize_llama.py` was the point of error when trying the configuration on my end.
`if world_mesh.ndim > 1:
raise RuntimeError("DDP has not... | https://github.com/pytorch/torchtitan/issues/636 | closed | [
"question"
] | 2024-10-20T12:36:55Z | 2024-11-08T00:03:05Z | null | prathameshtd |
pytorch/torchtitan | 635 | data shuffling | I understand that the current version of the code doesn't shuffle the data during training, _i.e._ examples are consumed in order in each rank (in fact, there's a note to that effect [here](https://github.com/pytorch/torchtitan/blob/0edd2fb36c8c3468086986efd049e9bb0ff3414e/torchtitan/datasets/hf_datasets.py#L99)). I'm ... | https://github.com/pytorch/torchtitan/issues/635 | closed | [
"question"
] | 2024-10-20T03:39:35Z | 2024-10-24T02:08:43Z | null | eminorhan |
huggingface/diffusers | 9,719 | `disable_progress_bar` is ignored for some models (Loading checkpoint shards) | ### Describe the bug
When loading some pipelines, `diffusers.utils.logging.disable_progress_bar()` doesn't disable all progress bars. In particular the "Loading checkpoint shards" progress bar still appears. The "Loading pipeline components..." progress bar, however, is disabled as expected. Models I found, where this... | https://github.com/huggingface/diffusers/issues/9719 | closed | [
"bug"
] | 2024-10-19T17:42:37Z | 2024-10-19T19:29:12Z | 2 | JonasLoos |
pytorch/tutorials | 3,100 | 💡 [REQUEST] - Add minGRU Tutorial for Efficient Sequence Modeling | ### 🚀 Describe the improvement or the new tutorial
I propose adding a tutorial on implementing and using minGRU (minimal Gated Recurrent Unit) to the PyTorch tutorials. This addition would provide valuable insights into efficient sequence modeling techniques for the PyTorch community.
- Efficiency: Up to 1324x... | https://github.com/pytorch/tutorials/issues/3100 | closed | [] | 2024-10-19T16:35:32Z | 2025-04-16T22:02:23Z | 1 | dame-cell |
huggingface/optimum | 2,069 | High CUDA Memory Usage in ONNX Runtime with Inconsistent Memory Release | ### System Info
```shell
Optimum version: 1.22.0
Platform: Linux (Ubuntu 22.04.4 LTS)
Python version: 3.12.2
ONNX Runtime Version: 1.19.2
CUDA Version: 12.1
CUDA Execution Provider: Yes (CUDA 12.1)
```
### Who can help?
@JingyaHuang @echarlaix
### Information
- [ ] The official example scripts
... | https://github.com/huggingface/optimum/issues/2069 | closed | [
"question",
"Stale"
] | 2024-10-19T02:45:54Z | 2024-12-25T02:02:08Z | null | niyathimariya |
pytorch/data | 1,344 | Delete datapipes and dataloader 2 documentation | ### 📚 The doc issue
Since these are gone on main, we should delete nightly documentation as well. Basically they need to disappear from here: https://pytorch.org/data/main/
### Suggest a potential alternative/fix
_No response_ | https://github.com/meta-pytorch/data/issues/1344 | closed | [
"documentation"
] | 2024-10-18T23:14:59Z | 2024-10-19T20:29:46Z | 0 | andrewkho |
huggingface/transformers.js | 981 | Any gotcha's with manually adding items to transformers-cache? | ### Question
For [papeg.ai](https://www.papeg.ai) I've implemented that the service worker caches `.wasm` files from `jsDelivir` that Transformers.js [wasn't caching itself yet](https://github.com/huggingface/transformers.js/issues/685#issuecomment-2325125036).
I've been caching those filesi n the 'main' Papeg.ai... | https://github.com/huggingface/transformers.js/issues/981 | open | [
"question"
] | 2024-10-18T12:53:07Z | 2024-10-18T12:56:21Z | null | flatsiedatsie |
huggingface/transformers | 34,241 | How to output token by token use transformers? | ### System Info
...
### Who can help?
_No response_
### Information
- [ ] The official example scripts
- [ ] My own modified scripts
### Tasks
- [ ] An officially supported task in the `examples` folder (such as GLUE/SQuAD, ...)
- [ ] My own task or dataset (give details below)
### Reproduction
...
### Expect... | https://github.com/huggingface/transformers/issues/34241 | closed | [
"Discussion",
"bug"
] | 2024-10-18T09:45:19Z | 2024-11-26T08:04:43Z | null | xuanzhangyang |
huggingface/lerobot | 477 | Collecting human operated datasets in simulation | Hello,
Can you provide info on how human supervision was provided for the simulated datasets (e.g. `lerobot/aloha_sim_transfer_cube_human`)? I am starting to setup a similar MuJoCo gym environment for the Stretch (https://github.com/mmurray/gym-stretch) and I would like to collect/train on some human teleop data, bu... | https://github.com/huggingface/lerobot/issues/477 | closed | [
"question",
"dataset",
"simulation"
] | 2024-10-17T23:24:17Z | 2025-10-08T08:49:32Z | null | mmurray |
pytorch/pytorch | 138,280 | Refactor FlexibleLayout to separate out "this stride can be changed" and "how this buffer is allocated can be changed" | ### 🚀 The feature, motivation and pitch
Currently, we have two layouts:
- FixedLayout
- FlexibleLayout
Where FixedLayout basically means "We already decided the layout, don't change it" while FlexibleLayout means "we are free to change this layout".
However, I think there are actually two different components... | https://github.com/pytorch/pytorch/issues/138280 | open | [
"triaged",
"oncall: pt2",
"module: inductor",
"internal ramp-up task"
] | 2024-10-17T23:10:36Z | 2025-12-02T17:11:15Z | null | Chillee |
huggingface/lighteval | 365 | [FT] Using lighteval to evaluate a model on a single sample, how? | Thank you the team for the great work. I have a question. Can you please help me to use lighteval to evaluate a model on a single sample?
For example, if I have an input from mmlu I, my model generates output O, how can I use lighteval to evaluate O with using the Acc metric?
Thanks! | https://github.com/huggingface/lighteval/issues/365 | closed | [
"feature"
] | 2024-10-17T12:43:45Z | 2024-10-24T10:12:54Z | null | dxlong2000 |
huggingface/diffusers | 9,700 | Flux inversion | current img2img is not so well, [RF Inversion](https://rf-inversion.github.io/)) provides an inverse method for Flux real image editing, can we implement it using diffusers?
or how can we use DDIM inversion in Flux? | https://github.com/huggingface/diffusers/issues/9700 | closed | [] | 2024-10-17T07:03:59Z | 2024-12-17T16:00:30Z | 8 | yuxu915 |
pytorch/pytorch | 138,179 | How to resolve the libfmt.a conflict in React Native. | ### 🚀 The feature, motivation and pitch
I want to develop a React Native module that primarily integrates LibTorch and includes some methods for loading models and making predictions.
I created the module using `npx create-expo-module` and then proceeded with the development.
When I run `pod install `in ios, i... | https://github.com/pytorch/pytorch/issues/138179 | closed | [
"triage review"
] | 2024-10-17T06:37:21Z | 2024-10-21T17:35:00Z | null | wangyujiaoflag |
pytorch/xla | 8,270 | Clarify that torch_xla2 is only recommended for inference | ## 📚 Documentation
<!-- A clear and concise description of what content is an issue. -->
My understanding is that torch_xla2 is only recommended for inference. Address this in the [README](https://github.com/pytorch/xla/tree/master/experimental/torch_xla2) | https://github.com/pytorch/xla/issues/8270 | closed | [
"question",
"documentation"
] | 2024-10-17T04:53:36Z | 2025-02-27T13:08:45Z | null | cloudchrischan |
huggingface/diffusers | 9,698 | Unable to Retrieve Intermediate Gradients with CogVideoXPipeline | ### Describe the bug
When generating videos using the CogVideoXPipeline model, we need to access the gradients of intermediate tensors. However, we do not require additional training or parameter updates for the model.
We tried using register_forward_hook to capture the gradients, but this approach failed because t... | https://github.com/huggingface/diffusers/issues/9698 | closed | [
"bug"
] | 2024-10-17T04:30:56Z | 2024-10-27T10:24:41Z | 4 | lovelyczli |
huggingface/diffusers | 9,697 | train_text_to_image_sdxl training effect is very poor | I use DeepSpeed for training: train_text_to_image_sdxl.py
1.The data volume is 231 pieces
2. deepspeed json
3.Training Script
![企业微信截图_17291362274700](https://github.com/user-attachments/assets/ae5a6207-dbc8-... | https://github.com/huggingface/diffusers/issues/9697 | closed | [] | 2024-10-17T03:40:17Z | 2024-10-17T08:32:44Z | 2 | wzhiyuan2016 |
huggingface/finetrainers | 41 | cannot access local variable 'gradient_norm_before_clip' where it is not associated with a value | During both I2V and t2V training, sometimes I encountered the error
```
[rank1]: File "/root/projects/cogvideox-factory/training/cogvideox_text_to_video_lora.py", line 762, in main
[rank1]: "gradient_norm_before_clip": gradient_norm_before_clip,
[rank1]: ^^^^^^^^^^^^^^^^^^^... | https://github.com/huggingface/finetrainers/issues/41 | closed | [] | 2024-10-16T18:34:19Z | 2024-12-06T08:09:46Z | null | Yuancheng-Xu |
huggingface/finetrainers | 40 | How to load the fine-tuned I2V model's LoRA module | I have successfully fine-tuned an I2V model (locally, without pushing to HF) and would like to load it for inference. I use the following code suggested in the readme
```
model_name = "THUDM/CogVideoX-5b-I2V"
pipe = CogVideoXImageToVideoPipeline.from_pretrained(
model_name, torch_dtype=torch.bfloat16
).to("... | https://github.com/huggingface/finetrainers/issues/40 | closed | [] | 2024-10-16T17:25:21Z | 2024-12-03T03:01:23Z | null | Yuancheng-Xu |
pytorch/pytorch | 138,073 | `export()` fails for `full((n,), v)` but succeeds for `ones((n,)) * v` where `v` is dynamic | ### 🐛 Describe the bug
When using `torch.full((n,), v)` to create a tensor with a dynamic value, one receives a `Pending unbacked symbols` error. A simple workaround is to use `torch.ones((n,)) * v`, but unless I'm missing something the former should work just as well.
Below is a minimal example to reproduce the... | https://github.com/pytorch/pytorch/issues/138073 | closed | [
"oncall: pt2",
"module: dynamic shapes",
"module: dynamo",
"oncall: export"
] | 2024-10-16T13:29:52Z | 2025-03-26T17:56:33Z | null | kwikwag |
huggingface/transformers.js | 975 | Supporting Multiple Pipelines? | ### Question
First of all, thank you so much for creating transformers.js! This is a fantastic library, and I had lots of fun building with it!
I have a question regarding using pipelines API: Would it be possible to start multiple pipelines? For example, instead of using just one pipeline to run inference, can we ... | https://github.com/huggingface/transformers.js/issues/975 | closed | [
"question"
] | 2024-10-16T08:06:44Z | 2024-10-21T15:58:20Z | null | kelayamatoz |
huggingface/chat-ui | 1,525 | Standardize Chat Prompt Templates to Use Jinja Format | ## Describe your feature request
Currently, the `chatPromptTemplate` for each model that can be set in env uses **Handlebars** format. However, the `chat_prompt` in the actual model's `tokenizer_config.json` uses **Jinja** format. This inconsistency is causing significant inconvenience. Since **Jinja** is widely use... | https://github.com/huggingface/chat-ui/issues/1525 | open | [
"enhancement"
] | 2024-10-16T05:26:12Z | 2024-11-20T00:44:16Z | 8 | calycekr |
pytorch/torchtitan | 620 | Is there way to offload training memory to DRAM (using FSDP2?) for training Llama3-8B with torchtitan? | I am training Llama3-8B using 2 RTX A6000ada 48GB, but got OOM. Is there way to offload training memory to DRAM (using FSDP2?) for training Llama3-8B with torchtitan?
Thanks!
***Error message:
torch.OutOfMemoryError: CUDA out of memory. Tried to allocate 112.00 MiB. GPU 0 has a total capacity of 47.48 GiB of whi... | https://github.com/pytorch/torchtitan/issues/620 | closed | [
"question"
] | 2024-10-15T19:54:17Z | 2024-10-28T22:27:50Z | null | 0781532 |
pytorch/serve | 3,348 | Getting started guide client samples broken ? | ### 🐛 Describe the bug
following the getting started guide:
https://github.com/pytorch/serve/blob/master/docs/getting_started.md
i get following error messages when trying to run the client examples.
Am I doing something wrong?
### Error logs
```
serve$ python -m grpc_tools.protoc --proto_path=frontend/serv... | https://github.com/pytorch/serve/issues/3348 | open | [] | 2024-10-15T16:47:42Z | 2024-12-26T04:00:44Z | 1 | nikste |
huggingface/alignment-handbook | 201 | Full parameter fine-tuning keeps consuming system RAM and lead to crash | I am using alignment handbook to perform a full parameter fine-tuning of llama3 models with Deepspeed stage 2 on my own dataset which is relatively large (400k+ records).
The training was performed on a slurm cluster with two nodes (each has 4 H100 GPUs).
I have noticed that during the training, the system memory ut... | https://github.com/huggingface/alignment-handbook/issues/201 | closed | [] | 2024-10-15T15:04:18Z | 2024-10-17T18:56:53Z | 2 | xiyang-aads-lilly |
huggingface/chat-ui | 1,522 | Add example prompt field to tools | ## Describe your feature request
This lets the user specify a prompt that would call the tool. It can be shown as a demo if you're not sure how to use a tool.
We should show it somewhere in the UI so the user can easily start a conversation from that demo.
It can also be used for validating that a tool works... | https://github.com/huggingface/chat-ui/issues/1522 | open | [
"enhancement",
"front",
"back",
"tools"
] | 2024-10-15T12:42:42Z | 2024-10-15T12:42:43Z | 0 | nsarrazin |
pytorch/torchtitan | 619 | Question about torch.compile has better throughput with 128-GPUs than 8-GPUs | Thank you for publishing the paper. I hope to get your answers to the following questions.：
Normally, the training speed will decline as the number of GPUs increases. However, in the paper, with the torch.compile technology, the speed with 128 GPUs is better than that with 8 GPUs.
![compile](https://github.com/user-a... | https://github.com/pytorch/torchtitan/issues/619 | closed | [
"question"
] | 2024-10-15T09:14:25Z | 2024-11-19T21:37:23Z | null | dz1iang |
huggingface/optimum | 2,060 | Support int8 tinyllama tflite export. | ### Feature request
tflite exporter for decoder only llms such as tinyllama
### Motivation
Some platforms only support full int8 op and full int8 tflite models can be deployed. Is there a support plan? Looking forward to your reply, thank you.
### Your contribution
no | https://github.com/huggingface/optimum/issues/2060 | closed | [
"feature-request",
"Stale"
] | 2024-10-15T03:25:54Z | 2024-12-09T02:11:36Z | 1 | hayyaw |
huggingface/diffusers | 9,673 | high cpu usage when loading multiple loras at once. | ### Describe the bug
Hi, I was making a synthesis system using celery and diffusers,
and I found the cpu usage of program goes high when loading loras,
it is okay when I use just one worker, but it becomes hard when using 8 workers at once.
It happens when lora loaded first time, and I think it is because of p... | https://github.com/huggingface/diffusers/issues/9673 | closed | [
"bug"
] | 2024-10-15T01:49:37Z | 2024-10-15T05:07:40Z | 5 | gudwns1215 |
huggingface/datasets | 7,226 | Add R as a How to use from the Polars (R) Library as an option | ### Feature request
The boiler plate code to access a dataset via the hugging face file system is very useful. Please addd
## Add Polars (R) option
The equivailent code works, because the [Polars-R](https://github.com/pola-rs/r-polars) wrapper has hugging faces funcitonaliy as well.
```r
library(polars)
... | https://github.com/huggingface/datasets/issues/7226 | open | [
"enhancement"
] | 2024-10-14T19:56:07Z | 2024-10-14T19:57:13Z | null | ran-codes |
huggingface/lerobot | 472 | How to resume training with a higher offline steps than initial set up? | ### System Info
```Shell
- `lerobot` version: unknown
- Platform: Linux-6.8.0-45-generic-x86_64-with-glibc2.35
- Python version: 3.10.13
- Huggingface_hub version: 0.25.2
- Dataset version: 3.0.1
- Numpy version: 1.26.4
- PyTorch version (GPU?): 2.4.1 (True)
- Cuda version: 11080
- Using GPU in script?: <fill ... | https://github.com/huggingface/lerobot/issues/472 | closed | [] | 2024-10-13T19:28:04Z | 2024-10-22T05:51:42Z | null | Takuzenn |
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