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/trl | 4,397 | Remove or move Multi Adapter RL | I don't think this make sense to have this as a whole section in the doc. Either remove it or update and move it to PEFT integration | https://github.com/huggingface/trl/issues/4397 | closed | [
"📚 documentation",
"⚡ PEFT"
] | 2025-10-30T15:12:58Z | 2025-11-04T23:57:56Z | 0 | qgallouedec |
huggingface/transformers | 41,948 | Does Qwen2VLImageProcessor treat two consecutive images as one group/feature? | When looking at Qwen3-VL model's image processor (which uses Qwen2-VL's one), I found the following lines of code hard to understand.
`L296-300` checks the number of input images (`patches.shape[0]`), and repeat the last one to make it divisible by `temporal_patch_size`.
This make the model processes two consecutive i... | https://github.com/huggingface/transformers/issues/41948 | closed | [] | 2025-10-30T09:23:50Z | 2025-10-31T01:01:09Z | 3 | priancho |
huggingface/transformers | 41,947 | why Smolvlm-256M-Instruct slower then Internvl-v2-1B ? | As title, Smolvlm have smaller model size (1/4 less matrix multiplication), smaller input embedding. But, both torch.CudaEvent, timer.perf_counter with torch.sync report the slower inference time ?
I wonder that does this related with the wrong implementation of Smolvlm in transformers ?
inference performance comparis... | https://github.com/huggingface/transformers/issues/41947 | closed | [] | 2025-10-30T08:10:28Z | 2025-10-31T11:47:44Z | 4 | HuangChiEn |
huggingface/trl | 4,386 | Reference supported trainers in Liger Kernel integration guide | Currently, we only have an example with SFT, and it's hard to know which trainer supports liger. We should list the trainer which support liger. | https://github.com/huggingface/trl/issues/4386 | closed | [
"📚 documentation",
"🏋 SFT"
] | 2025-10-30T04:08:04Z | 2025-11-03T18:16:04Z | 0 | qgallouedec |
huggingface/trl | 4,385 | Use a common 'trl-lib` namespace for the models/datasets/spaces | In the doc, we have examples using different namespaces, like `kashif/stack-llama-2`, `edbeeching/gpt-neo-125M-imdb` etc. we should unify all these examples to use a common `trl-lib` namespace. | https://github.com/huggingface/trl/issues/4385 | open | [
"📚 documentation",
"✨ enhancement"
] | 2025-10-30T04:04:10Z | 2025-10-30T04:04:38Z | 0 | qgallouedec |
huggingface/trl | 4,384 | Write the subsection "Multi-Node Training" | This section must be written, with a simple code example, and a link to the `accelerate` documentation | https://github.com/huggingface/trl/issues/4384 | open | [
"📚 documentation",
"⚡accelerate"
] | 2025-10-30T03:57:53Z | 2025-12-08T16:23:23Z | 2 | qgallouedec |
huggingface/trl | 4,383 | Add PEFT subsection to "Reducing Memory Usage" | PEFT is a major technique to reduce memory usage of the training. We should have a small section pointing to the PEFT integration guide | https://github.com/huggingface/trl/issues/4383 | closed | [
"📚 documentation",
"✨ enhancement",
"⚡ PEFT"
] | 2025-10-30T03:55:55Z | 2025-11-07T00:03:01Z | 0 | qgallouedec |
huggingface/trl | 4,382 | Populate "Speeding Up Training" | Currently, this section only mentions vLLM. We should have a small guide for other methods, like flash attention.
Ideally, to avoid repetition, we should have a very light example, and a link to the place in the doc where it's more extensively discussed, example vLLM pointing to vLLM integration guide | https://github.com/huggingface/trl/issues/4382 | closed | [
"📚 documentation",
"⚡accelerate"
] | 2025-10-30T03:54:34Z | 2025-12-01T09:47:23Z | 0 | qgallouedec |
huggingface/trl | 4,380 | Fully transition from `flash-attn` to `kernels` | The new recommended way to use flash attention is to use kernels. We should update our tests, and documentation to use `kernels` instead of "flash_attention2". Eg
https://github.com/huggingface/trl/blob/1eb561c3e9133892a2e907d84123b46e40cbc5a0/docs/source/reducing_memory_usage.md#L149
```diff
- training_args = DPOCon... | https://github.com/huggingface/trl/issues/4380 | closed | [
"📚 documentation",
"✨ enhancement"
] | 2025-10-30T03:46:07Z | 2025-11-13T04:07:35Z | 0 | qgallouedec |
huggingface/trl | 4,379 | Remove or populate "Training customization" | Currently, this part of the documentation shows some possible customizations that applies to all trainers https://huggingface.co/docs/trl/main/en/customization
However, it only features a few examples. This sections would make sense if it gets populated with other customizations, or removed. This thread can be used to... | https://github.com/huggingface/trl/issues/4379 | closed | [
"📚 documentation"
] | 2025-10-30T03:41:02Z | 2025-12-01T09:39:09Z | 0 | qgallouedec |
huggingface/trl | 4,378 | Extend basic usage example to all supported CLIs | currently https://huggingface.co/docs/trl/main/en/clis?command_line=Reward#basic-usage shows only basic example usage for SFT, DPO and Reward. We should have it for all supported CLIs (ie, GRPO, RLOO, KTO) | https://github.com/huggingface/trl/issues/4378 | closed | [
"📚 documentation",
"🏋 KTO",
"🏋 RLOO",
"📱 cli",
"🏋 GRPO"
] | 2025-10-30T03:35:36Z | 2025-11-14T01:13:17Z | 0 | qgallouedec |
vllm-project/vllm | 27,783 | [Usage]: Model performance different from api | ### Your current environment
```text
vllm==0.10.0
```
### How would you like to use vllm
I'm running model Qwen3-8B with vllm. I also run the same experiment using Qwen3-8B api. But I find the result is quite different, the accuracy of api-model on my task is much higher than the vllm-model. I use the same temperat... | https://github.com/vllm-project/vllm/issues/27783 | open | [
"usage"
] | 2025-10-30T03:30:02Z | 2025-10-30T03:30:02Z | 0 | fny21 |
vllm-project/vllm | 27,782 | [Usage]: The same configuration v0.11.0 will report insufficient video memory compared to v0.8.5 | ### Your current environment
```text
The output of `python collect_env.py`
```
### How would you like to use vllm
The server is a 4090 with 4 cards
Docker runs vllm openai: v0.8.5 deployment command: "command: --model /models/Qwen3/Qwen3-30B-A3B --enable-reasoning --reasoning-parser deepseek_r1 --tensor_parallel_s... | https://github.com/vllm-project/vllm/issues/27782 | open | [
"usage"
] | 2025-10-30T03:24:54Z | 2025-11-06T06:53:15Z | 2 | lan-qh |
huggingface/trl | 4,376 | Rewrite `peft_integration.md` | This section of the documentation is widely outdated and rely only on PPO.
Ideally, we should have a clear documentation that shows how to use peft with SFT, DPO and GRPO at least, via the `peft_config` argument. We could have additional subsection about QLoRA and prompt-tuning. | https://github.com/huggingface/trl/issues/4376 | closed | [] | 2025-10-30T03:23:24Z | 2025-11-24T10:39:27Z | 0 | qgallouedec |
vllm-project/vllm | 27,778 | [Usage]: Is DP + PP a possible way to use vLLM? | ### Your current environment
```text
The output of `python collect_env.py`
```
### How would you like to use vllm
Hi there, I wonder if we can adopt DP + PP in vLLM to form a heterogeneous inference pipeline. For example, If i have two V100 32G GPUs and one A100 80G GPU, can I utilize them in pipeline parallelism w... | https://github.com/vllm-project/vllm/issues/27778 | open | [
"usage"
] | 2025-10-30T02:05:06Z | 2025-10-30T02:05:06Z | 0 | oldcpple |
vllm-project/vllm | 27,746 | [Bug]: `strict` value in function definitions causes request error when using Mistral tokenizer | ### Your current environment
Tested with latest vllm source build from main
### 🐛 Describe the bug
Start vLLM with a model that uses the mistral tokenizer:
```
vllm serve mistralai/Mistral-Small-24B-Instruct-2501 \
--enable-auto-tool-choice \
--tool-call-parser mistral \
--tokenizer-mode mistral
```
Send a ... | https://github.com/vllm-project/vllm/issues/27746 | open | [
"bug"
] | 2025-10-29T14:33:13Z | 2025-10-30T19:14:50Z | 4 | bbrowning |
huggingface/trl | 4,368 | GKD: multimodal inputs? | Does the Generalized Knowledge Distillation trainer (GKDTrainer) support multimodal inputs (VLMs)?
If yes, what's the expected dataset format? There is no example of this in the documentation.
Thanks! | https://github.com/huggingface/trl/issues/4368 | closed | [
"📚 documentation",
"❓ question",
"🏋 GKD"
] | 2025-10-29T14:08:44Z | 2025-11-07T19:26:23Z | 2 | e-zorzi |
huggingface/lerobot | 2,338 | policy gr00t not found when do async inference with gr00t | ### System Info
```Shell
lerobot version:
3f8c5d98 (HEAD -> main, origin/main, origin/HEAD) fix(video_key typo): fixing video_key typo in update_video_info (#2323)
```
### Information
- [ ] One of the scripts in the examples/ folder of LeRobot
- [ ] My own task or dataset (give details below)
### Reproduction
I h... | https://github.com/huggingface/lerobot/issues/2338 | closed | [
"bug",
"question",
"policies"
] | 2025-10-29T05:36:20Z | 2025-11-21T15:34:21Z | null | jcl2023 |
huggingface/lerobot | 2,337 | Can I continue reinforcement learning in HIL-SERL using a pi0 | Can I continue reinforcement learning in HIL-SERL using a pi0 model from LERobot that has been fine-tuned via imitation learning? | https://github.com/huggingface/lerobot/issues/2337 | open | [
"question",
"policies"
] | 2025-10-29T04:30:26Z | 2025-11-11T03:13:23Z | null | pparkgyuhyeon |
huggingface/peft | 2,878 | peft " target_modules='all-linear' " have different behavior between x86 and aarch ? | ### System Info
i have tested on 2 arch (x86, arm) then find this bug.
both arch have peft==0.17.1
### Who can help?
@benjaminbossan @githubnemo
### Reproduction
Reproduction script : bug_reprod.py
```python
from transformers import AutoModelForImageTextToText
model = AutoModelForImageTextToText.from_pretrained("... | https://github.com/huggingface/peft/issues/2878 | closed | [] | 2025-10-29T03:43:02Z | 2025-12-07T15:03:33Z | 4 | HuangChiEn |
huggingface/peft | 2,877 | peft config 'all-linear' include lm_head, is there anyway to remove it ? | I'm not sure is it a bug or my modification affect the peft ?
> since some issue reveal that 'all-linear' will not include the lm_head
```python
if 'internvl' in self.variant.lower():
if '3_5' in self.variant:
self.model = AutoModelForImageTextToText.from_pretrained(self.variant, trust_remote_code=True)
... | https://github.com/huggingface/peft/issues/2877 | closed | [] | 2025-10-29T02:19:21Z | 2025-10-29T03:43:20Z | 1 | HuangChiEn |
huggingface/lerobot | 2,335 | How to Visualize All Episodes of a LeRobot Dataset Locally? | Hi everyone, I have a question about LeRobot datasets. I'd like to inspect my data locally, but using the command
_lerobot-dataset-viz --repo-id=${HF_USER}/record-test --episode-index=0_
only allows me to view one episode at a time, which is quite cumbersome.
Is there a way to visualize all episodes of a dataset local... | https://github.com/huggingface/lerobot/issues/2335 | open | [
"question",
"dataset"
] | 2025-10-29T02:01:01Z | 2025-12-29T12:18:57Z | null | Vacuame |
vllm-project/vllm | 27,692 | it run on rtx 5060 ti 16 gb | ### Your current environment
https://github.com/bokkob556644-coder/suc-vllm-rtx-5060-ti-16-gb/blob/main/suc_vllm.txt
### How would you like to use vllm
[I want to run inference of a [specific model](put link here). I don't know how to integrate it with vllm.
](https://github.com/bokkob556644-coder/suc-vllm-rtx-5060... | https://github.com/vllm-project/vllm/issues/27692 | open | [
"usage"
] | 2025-10-28T21:43:00Z | 2025-10-28T21:43:16Z | 1 | bokkob556644-coder |
huggingface/transformers | 41,919 | LFM2 image_processing_lfm2_vl_fast.py Mean Std swapped? | ### System Info
In LFM2-VL image_processing_lfm2_vl_fast.py line 212 following the MEAN and STD from imagenet is used for preprocessing.
However it seems like they are swapped:
image_mean = IMAGENET_STANDARD_STD
image_std = IMAGENET_STANDARD_MEAN
or is this correct ?
### Who can help?
@Cyrilvallez
### Inf... | https://github.com/huggingface/transformers/issues/41919 | closed | [
"bug"
] | 2025-10-28T16:17:44Z | 2025-10-31T15:02:40Z | 4 | florianvoss-commit |
vllm-project/vllm | 27,667 | [Usage]: DeepseekOCR on CPU missing implementation for fused_topk | ### Your current environment
Try to test if it is possible to run DeepseekOCR on CPU using current git main branch.
Fails because there is no implementation of `fused_topk` for CPU.
```
INFO 10-28 15:41:18 [v1/worker/cpu_model_runner.py:77] Warming up model for the compilation...
ERROR: Traceback (most recent cal... | https://github.com/vllm-project/vllm/issues/27667 | open | [
"usage"
] | 2025-10-28T16:14:40Z | 2025-10-28T16:14:40Z | 0 | brainlag |
vllm-project/vllm | 27,661 | [RFC]: Consolidated tool call parser implementations by type (JSON, Python, XML, Harmony) | ### Motivation.
When someone wants to add a new tool call parser today, they typically choose an existing tool call parser that looks close to what is needed, copy it into a new file, and adjust things here and there as needed for their specific model. Sometimes tests get added, and sometimes not. Sometimes the change... | https://github.com/vllm-project/vllm/issues/27661 | open | [
"RFC"
] | 2025-10-28T14:54:10Z | 2025-10-30T16:14:09Z | 2 | bbrowning |
huggingface/lerobot | 2,329 | smolvla base model ( the Vlm part) to other model | Can I change smolvla base model ( the Vlm part) to other model?
What should I do?
Thanks | https://github.com/huggingface/lerobot/issues/2329 | closed | [
"question",
"policies"
] | 2025-10-28T12:28:44Z | 2025-10-31T15:09:12Z | null | smartparrot |
vllm-project/vllm | 27,649 | [Usage]: Qwen3-32B on RTX PRO 6000 (55s First Token Delay and 15t/s) | Why does the Qwen3-32B model take 55 seconds before producing the first token, and why is the generation speed only 15t/s?
My vLLM configuration:
Device: GB202GL [RTX PRO 6000 Blackwell Server Edition]
Nvidia Driver Version：580.95.05
CUDA Version：13.0
Docker configuration:
```sh
PORT=8085
MODEL_PATH=Qwen/Qwen3-32... | https://github.com/vllm-project/vllm/issues/27649 | open | [
"usage"
] | 2025-10-28T10:49:43Z | 2025-11-07T02:30:26Z | 4 | yizhitangtongxue |
vllm-project/vllm | 27,646 | [Usage]: How to use vllm bench serve to bench remote deployed vllm models (can't bench when ep enabled!!!) | ### Your current environment
I deployed dpskv3 in a remote server using:
```
export VLLM_USE_V1=1
export VLLM_ALL2ALL_BACKEND=deepep_low_latency
vllm serve /models/hf/models--deepseek-ai--DeepSeek-V3 --tensor-parallel-size 1 --data-parallel-size 8 --enable-expert-parallel --no-enforce-eager --load-format dummy
```
An... | https://github.com/vllm-project/vllm/issues/27646 | open | [
"usage"
] | 2025-10-28T09:56:37Z | 2025-10-28T15:23:06Z | 3 | Valerianding |
huggingface/transformers | 41,910 | Breaking change about AWQ Fused modules due to Attention Refactor | ### System Info
transformers==5.0.0dev
autoawq==0.2.9
autoawq_kernels==0.0.9
torch==2.6.0+cu124
### Who can help?
Due to PR #35235, the `past_key_values` is no longer a returned value of attention modules.
However, when using AWQ models with Fused modules [AWQ Fused modules docs](https://huggingface.co/docs/transfo... | https://github.com/huggingface/transformers/issues/41910 | closed | [
"bug"
] | 2025-10-28T08:29:03Z | 2025-11-20T13:41:34Z | 3 | fanqiNO1 |
vllm-project/vllm | 27,636 | [Usage]: vllm如何保留qwen3-vl中的special token | ### Your current environment
我微调过的qwen3-vl模型的grounding格式为：<|object_ref_start|>图片<|object_ref_end|><|box_start|>(x1,y1),(x2,y2)<|box_end|>
使用vllm serve推理的格式是：图片(460,66),(683,252)，这个是直接忽略了special token么，是否有方法可以保留。
### How would you like to use vllm
I want to run inference of a [specific model](put link here). I don't ... | https://github.com/vllm-project/vllm/issues/27636 | open | [
"usage"
] | 2025-10-28T06:52:16Z | 2025-10-28T06:52:16Z | 0 | qfs666 |
huggingface/diffusers | 12,553 | Reason to move from OpenCV to ffmpeg | I see that `diffusers.utils.export_to_video()` encourages ffmpeg usage instead of OpenCV. Can you share the reason? I'm looking for a way to add video decoding to my project so I'm collecting arguments. | https://github.com/huggingface/diffusers/issues/12553 | open | [] | 2025-10-28T06:49:48Z | 2025-11-07T13:27:03Z | 10 | Wovchena |
vllm-project/vllm | 27,634 | [Usage]: how to use --quantization option of `vllm serve`？ | ### Your current environment
```text
==============================
System Info
==============================
OS : Ubuntu 22.04.5 LTS (x86_64)
GCC version : (Ubuntu 11.4.0-1ubuntu1~22.04.2) 11.4.0
Clang version : Could not collect
CMake version ... | https://github.com/vllm-project/vllm/issues/27634 | open | [
"usage"
] | 2025-10-28T06:24:38Z | 2025-10-28T15:57:47Z | 3 | Septemberlemon |
huggingface/candle | 3,151 | Tensor conversion to_vec1() failing on 0.9.2-alpha.1 - Metal | Dependencies
```toml
candle-core = { git = "https://github.com/huggingface/candle", rev = "df618f8", features = ["metal"] }
candle-nn = { git = "https://github.com/huggingface/candle", rev = "df618f8", features = ["metal"] }
candle-transformers = { git = "https://github.com/huggingface/candle", rev = "df618f8", featur... | https://github.com/huggingface/candle/issues/3151 | closed | [] | 2025-10-27T21:36:17Z | 2025-11-06T22:44:14Z | 2 | si-harps |
vllm-project/vllm | 27,604 | [Bug]: Is Flashinfer Attn backend supposed to work with FP8 KV cache on Hopper? | ### Your current environment
<details>
<summary>The output of <code>python collect_env.py</code></summary>
```text
Collecting environment information...
==============================
System Info
==============================
OS : Amazon Linux 2023.7.20250428 (x86_64)
GCC version ... | https://github.com/vllm-project/vllm/issues/27604 | open | [
"bug",
"nvidia"
] | 2025-10-27T20:22:37Z | 2025-11-06T02:37:17Z | 10 | jmkuebler |
huggingface/smolagents | 1,834 | Discussion: how to edit the messages sent to the underlying LLM | Hi! I'm working on a feature to allow a user to add callbacks to modify the content before it is sent to the LLM, inside the agent loop.
I noticed this strange behavior where the first user message must start with "New Task:", otherwise I get this cryptic and misleading error message.
""Error:\nError while parsing ... | https://github.com/huggingface/smolagents/issues/1834 | closed | [] | 2025-10-27T17:28:38Z | 2025-10-27T19:02:39Z | null | njbrake |
huggingface/peft | 2,873 | Can I use Lora fine-tuning twice? | I’m planning to work with a two-stage LoRA fine-tuning pipeline (Stage 1: SFT with code completion outputs; Stage 2: SFT with full-code outputs; RL follows). My question is:
When I continue training the same LoRA adapter in Stage 2, will I risk overwriting or degrading the knowledge learned during Stage 1 ? In other wo... | https://github.com/huggingface/peft/issues/2873 | closed | [] | 2025-10-27T12:51:45Z | 2025-12-05T15:05:00Z | 8 | tohokulgq |
vllm-project/vllm | 27,572 | [Bug]: chat/completions stream intermittently returns null as finish_reason | ### Your current environment
```
My env:
vllm 0.10.0
```
### 🐛 Describe the bug
```
+ curl -kLsS https://127.0.0.1:7888/v1/chat/completions -H 'Content-Type: application/json' --data '{
"model": "ibm/granite-3-8b-instruct",
"stream": true,
"messages": [
{
"role... | https://github.com/vllm-project/vllm/issues/27572 | open | [
"bug"
] | 2025-10-27T12:14:03Z | 2025-11-24T20:27:24Z | 13 | shuynh2017 |
huggingface/chat-ui | 1,957 | Fail to use proxy | How to make this web app go through local proxy?
I tried a few methods, all of which don't work.
| https://github.com/huggingface/chat-ui/issues/1957 | open | [
"support"
] | 2025-10-27T06:31:51Z | 2025-10-30T03:31:24Z | 2 | geek0011 |
huggingface/diffusers | 12,547 | Fine tuning Dreambooth Flux Kontext I2I Error: the following arguments are required: --instance_prompt | ### Describe the bug
Hello HF team, @sayakpaul @bghira
I'm encountering a persistent issue when trying to fine-tune the black-forest-labs/FLUX.1-Kontext-dev model using the train_dreambooth_lora_flux_kontext.py script.
I am following the [official README instructions](https://github.com/huggingface/diffusers/blob/ma... | https://github.com/huggingface/diffusers/issues/12547 | closed | [
"bug"
] | 2025-10-27T00:21:34Z | 2025-10-28T02:31:42Z | 7 | MichaelMelgarejoFlorez |
huggingface/transformers | 41,876 | LlamaAttention num_heads | ### System Info
In older version of transformers, LlamaAttention init attribute num_heads.
class LlamaAttention(nn.Module):
def __init__(self, config):
self.num_heads = config.num_attention_heads
self.head_dim = config.hidden_size // config.num_attention_heads
However, in the recent versions, th... | https://github.com/huggingface/transformers/issues/41876 | closed | [
"bug"
] | 2025-10-27T00:07:31Z | 2025-10-31T00:13:31Z | 2 | shanhx2000 |
huggingface/transformers | 41,874 | Distributed training of SigCLIP | https://github.com/huggingface/transformers/blob/v4.57.1/src/transformers/models/siglip/modeling_siglip.py#L983, here define how to compute sigclip loss. In sigclip, different tpu will exchange data with each other. I want to know how to train a model in this way. | https://github.com/huggingface/transformers/issues/41874 | closed | [] | 2025-10-26T14:43:51Z | 2025-12-04T08:02:55Z | 1 | zyk1559676097-dot |
huggingface/transformers | 41,861 | transformers.Adafactor is almost 2x slower on Windows than Linux - even WSL is slow what can be reason? | I am training Qwen Image model with Kohya Musubi tuner : https://github.com/kohya-ss/musubi-tuner
Exactly same setup and same machine on Linux is almost 2x faster
9.5 second / it vs 5.8 second / it
On Windows it can't utilize GPU power it utilizes like 250 watt out of 575 watt
What can be culprit?
transformers==4... | https://github.com/huggingface/transformers/issues/41861 | closed | [
"bug"
] | 2025-10-25T15:49:47Z | 2025-12-03T08:02:55Z | null | FurkanGozukara |
huggingface/transformers | 41,859 | Human Verification not working? | ### System Info
Hello! I need your help because I can't verify my identity via email: I receive a link, open it, but get a blank page and nothing else(((
I've tried several times.
### Who can help?
_No response_
### Information
- [ ] The official example scripts
- [ ] My own modified scripts
### Tasks
- [ ] An o... | https://github.com/huggingface/transformers/issues/41859 | closed | [
"bug"
] | 2025-10-25T10:48:52Z | 2025-10-26T12:29:10Z | 4 | thefued |
huggingface/lerobot | 2,311 | Question: How I can train only online without dataset? | How I can train only online? without need of dataset. Can I do it without hugging face repo id? only local?
I try like that without success:
```
cat > "train_cfg.json" <<'JSON'
{
"job_name": "hilserl_fetch_pick_v4_cpu",
"seed": 0,
"env": {
... | https://github.com/huggingface/lerobot/issues/2311 | open | [
"question",
"dataset"
] | 2025-10-25T05:07:48Z | 2025-10-27T08:50:11Z | null | talregev |
vllm-project/vllm | 27,505 | [Bug]: Value error, Found conflicts between 'rope_type=default' (modern field) and 'type=mrope' | ### Your current environment
<details>
<summary>The output of <code>python collect_env.py</code></summary>
```text
Your output of `python collect_env.py` here
```
</details>
### 🐛 Describe the bug
vllm 0.11.0
transformers 5.0.0.dev0
torch ... | https://github.com/vllm-project/vllm/issues/27505 | open | [
"bug"
] | 2025-10-25T04:39:53Z | 2025-10-26T07:33:27Z | 1 | asirgogogo |
vllm-project/vllm | 27,504 | [Usage]: `add_vision_id` ignored for Qwen 2.5-VL-32B-Instruct | ### Your current environment
```text
==============================
System Info
==============================
OS : Ubuntu 24.04.3 LTS (x86_64)
GCC version : (Ubuntu 13.3.0-6ubuntu2~24.04) 13.3.0
Clang version : Could not collect
CMake version ... | https://github.com/vllm-project/vllm/issues/27504 | open | [
"usage"
] | 2025-10-25T03:42:44Z | 2025-10-26T07:32:49Z | 1 | justachetan |
huggingface/lighteval | 1,028 | How to evaluate MMLU-Pro | Hi,
Thank you for the wonderful work!
I just want to ask how to perform the evaluation on MMLU-Pro, as I don't see any related code besides the README. | https://github.com/huggingface/lighteval/issues/1028 | open | [] | 2025-10-24T20:03:10Z | 2025-11-04T10:40:46Z | null | qhz991029 |
huggingface/tokenizers | 1,879 | rust tokenizer | Hello.
Is there a rust tokenizer please? Chat gpt told me there used to be.
Best regards! | https://github.com/huggingface/tokenizers/issues/1879 | open | [] | 2025-10-24T17:03:04Z | 2025-10-24T22:03:31Z | 2 | gogo2464 |
vllm-project/vllm | 27,482 | [Bug]: `return_token_ids` missing tokens when using tool calls | ### Your current environment
Testing with latest vLLM builds from main, as of Fri Oct 24th 2025 (when this bug was opened).
### 🐛 Describe the bug
The `return_token_ids` parameter that is supposed to return all generated token ids back to the client is missing quite a few tokens for Chat Completion streaming reque... | https://github.com/vllm-project/vllm/issues/27482 | closed | [
"bug"
] | 2025-10-24T16:10:31Z | 2025-12-04T19:09:41Z | 2 | bbrowning |
vllm-project/vllm | 27,479 | [Bug]: Low GPU utilization with Embedding Model | ### Your current environment
<details>
<summary>The output of <code>python collect_env.py</code></summary>
```text
Your output of `python collect_env.py` here
```
</details>
### 🐛 Describe the bug
Initializing LLM(model="Qwen/Qwen3-Embedding-0.6B", task="embed") on a single B200 (180 GB) immediately reserves ~80... | https://github.com/vllm-project/vllm/issues/27479 | open | [
"bug"
] | 2025-10-24T15:18:05Z | 2025-10-24T15:25:38Z | 1 | JhaceLam |
vllm-project/vllm | 27,477 | [Bug]: First prompt token missing when requested with "echo" | ### Your current environment
vllm installed from main:
`vllm 0.11.1rc3.dev23+g61089465a.precompiled`
### 🐛 Describe the bug
Is it expected behavior that echo isn't returning the first token of the prompt?
I am trying to collect exact prompt_token_ids which went into the model served wi... | https://github.com/vllm-project/vllm/issues/27477 | closed | [
"bug"
] | 2025-10-24T14:43:50Z | 2025-10-24T15:04:01Z | 2 | eldarkurtic |
huggingface/text-generation-inference | 3,336 | Get inference endpoint model settings via client | ### Feature request
Enable commands via clients such as `OpenAI` that would get model settings from an inference endpoint.
Does this exist and I just can't find it?
### Motivation
There is currently no clear way to get inference model settings directly from an endpoint. Individual base models have their original s... | https://github.com/huggingface/text-generation-inference/issues/3336 | closed | [] | 2025-10-24T13:07:15Z | 2025-10-30T14:10:46Z | 1 | lingdoc |
huggingface/datasets | 7,829 | Memory leak / Large memory usage with num_workers = 0 and numerous dataset within DatasetDict | ### Describe the bug
Hi team, first off, I love the datasets library! 🥰
I'm encountering a potential memory leak / increasing memory usage when training a model on a very large DatasetDict.
Setup: I have a DatasetDict containing 362 distinct datasets, which sum up to ~2.8 billion rows.
Training Task: I'm performin... | https://github.com/huggingface/datasets/issues/7829 | open | [] | 2025-10-24T09:51:38Z | 2025-11-06T13:31:26Z | 4 | raphaelsty |
huggingface/transformers | 41,842 | Incorrect usage of `num_items_in_batch`? | It seems that `num_items_in_batch` is computed for all items in the batch [here](https://github.com/huggingface/transformers/blob/9c20660138830ca362533551ca978c27b48283a1/src/transformers/trainer.py#L2430).
However, when loss is computed in the `training_step`, it is computed for each input in the batch one by one. Do... | https://github.com/huggingface/transformers/issues/41842 | closed | [] | 2025-10-24T07:36:00Z | 2025-12-01T08:02:48Z | 2 | gohar94 |
vllm-project/vllm | 27,463 | [Usage]: How to request DeepSeek-OCR with http request | ### Your current environment
```text
The output of `python collect_env.py`
```
### How would you like to use vllm
i want to request DeepSeek-OCR with http, is any example for it?
### Before submitting a new issue...
- [x] Make sure you already searched for relevant issues, and asked the chatbot living at the bott... | https://github.com/vllm-project/vllm/issues/27463 | closed | [
"usage"
] | 2025-10-24T07:07:29Z | 2025-10-29T17:26:49Z | 8 | YosanHo |
huggingface/lerobot | 2,306 | how to use groot without flash attention | my system is ubuntu 20.04 with glibc 2.3.1 which is not supported flash attention, If I can modify the config of groot to use it with normal attention? | https://github.com/huggingface/lerobot/issues/2306 | open | [
"question",
"policies",
"dependencies"
] | 2025-10-24T06:35:18Z | 2025-11-04T01:28:38Z | null | shs822 |
huggingface/lerobot | 2,305 | Error dependence about the `Transformer` library | ### System Info
```Shell
- lerobot version: 0.4.0
- Platform: Linux-6.14.0-29-generic-x86_64-with-glibc2.39
- Python version: 3.12.12
- Huggingface Hub version: 0.35.3
- Datasets version: 4.1.1
- Numpy version: 2.2.6
- PyTorch version: 2.7.0+cu128
- Is PyTorch built with CUDA support?: True
- Cuda version: 12.8
- GPU ... | https://github.com/huggingface/lerobot/issues/2305 | open | [
"question",
"policies",
"dependencies"
] | 2025-10-24T05:59:32Z | 2025-11-14T16:01:49Z | null | sunshineharry |
vllm-project/vllm | 27,454 | [Usage]: How to set the expert id on each EP by myself after setting EP in Deepseek (how to reorder experts?) | ### Your current environment
```text
vllm 0.8.5
```
### How would you like to use vllm
I want to run inference of a [specific model](put link here). I don't know how to integrate it with vllm.
### Before submitting a new issue...
- [x] Make sure you already searched for relevant issues, and asked the chatbot liv... | https://github.com/vllm-project/vllm/issues/27454 | open | [
"usage"
] | 2025-10-24T03:15:16Z | 2025-10-24T07:27:50Z | 2 | HameWu |
vllm-project/vllm | 27,448 | [Usage]: how to pass multi turn multimode messages to Vllm? | ### Your current environment
```text
The output of `python collect_env.py`
```
### How would you like to use vllm
I want to run inference of a [specific model](put link here). I don't know how to integrate it with vllm.
### Before submitting a new issue...
- [x] Make sure you already searched for relevant issues... | https://github.com/vllm-project/vllm/issues/27448 | open | [
"usage"
] | 2025-10-24T02:41:45Z | 2025-10-24T03:33:13Z | 1 | cqray1990 |
huggingface/lerobot | 2,304 | How to load local model? | For example, i'm trying to fine-tune pi0, so I downloaded pi0_base locallly and save it in [position A,like lerobot/models/pi0_base] ,which has 5 files in total,including model.safetensors.
Then how to load it in code? I used to just set model.path=[position A] But followed tuorial, it uses pretrained_path_or_name as ... | https://github.com/huggingface/lerobot/issues/2304 | closed | [] | 2025-10-24T01:59:26Z | 2025-10-24T02:33:25Z | null | milong26 |
vllm-project/vllm | 27,441 | [Bug]: vllm/v1/core/sched/scheduler.py: Unintended reordering of requests during scheduling | ### Your current environment
<details>
This error is independent of the environment.
</details>
### 🐛 Describe the bug
### Description
The function `schedule()` in [vllm/v1/core/sched/scheduler.py](https://github.com/vllm-project/vllm/blob/main/vllm/v1/core/sched/scheduler.py) is responsible for scheduling inferen... | https://github.com/vllm-project/vllm/issues/27441 | open | [
"bug"
] | 2025-10-23T22:35:50Z | 2025-11-22T04:20:35Z | 1 | dongha-yoon |
huggingface/lerobot | 2,303 | Question: Does the follower arm have an api for scripting movement? | Hi, apologies if this has been answered before or if it's not the right place to ask. I've been using the SO-101 arms for imitation learning, but recently I've wanted to try and test out the follower arm for embodied reasoning models such as Gemini ER 1.5. To do this, I figure I would need to have some way to map outpu... | https://github.com/huggingface/lerobot/issues/2303 | open | [
"question",
"robots",
"python"
] | 2025-10-23T20:40:56Z | 2025-10-23T22:29:28Z | null | Buttmunky1 |
huggingface/lerobot | 2,294 | Question about the HuggingFaceVLA/smolvla_libero Model Configuration | Hello,
Lerobot has officially ported [LIBERO](https://github.com/huggingface/lerobot/issues/1369#issuecomment-3323183721), and we can use the checkpoint at [HuggingFaceVLA/smolvla_libero](https://huggingface.co/HuggingFaceVLA/smolvla_libero) to evaluate the LIBERO benchmark.
However, the model configuration of [Huggi... | https://github.com/huggingface/lerobot/issues/2294 | open | [
"question",
"policies"
] | 2025-10-23T13:37:48Z | 2025-10-30T07:49:17Z | null | Hesh0629 |
vllm-project/vllm | 27,413 | [Usage]: how to request a qwen2.5-VL-7B classify model served by vllm using openai SDK? | ### Your current environment
```text
The output of `python collect_env.py`
```
### How would you like to use vllm
I launch a server with the following command to serving a Qwen2.5-VL-7B model finetued for seqence classification. (this model replaced the lm_head with a 2 classes score_head)
The launch command is :
... | https://github.com/vllm-project/vllm/issues/27413 | open | [
"good first issue",
"usage"
] | 2025-10-23T12:32:25Z | 2025-10-25T00:18:54Z | 12 | muziyongshixin |
huggingface/transformers.js | 1,447 | How to use half precision ONNX models? | ### Question
Hi,
I just exported a detection model with fp16 using optimum.
`--dtype fp16 `
This is my pipeline:
```javascript
const model = await AutoModel.from_pretrained(
"./onnx_llama",
{ dtype: "fp16", device: "cpu" }
const processor = await AutoProcessor.from_pretrained("./onnx_llama");
const { pixel_val... | https://github.com/huggingface/transformers.js/issues/1447 | open | [
"question"
] | 2025-10-23T09:18:26Z | 2025-10-23T09:18:26Z | null | richarddd |
huggingface/transformers | 41,810 | How do you use t5gemma decoder with a different encoder? | I am trying to combine the t5gemma decoder with a pretrained deberta encoder that I have trained from scratch using `EncoderDecoderModel`.
Here is the code:
```
model_1 = "WikiQuality/pre_filtered.am"
model_2 = "google/t5gemma-2b-2b-ul2"
encoder = AutoModel.from_pretrained(model_1)
decoder = AutoModel.from_pretrain... | https://github.com/huggingface/transformers/issues/41810 | closed | [] | 2025-10-23T08:48:19Z | 2025-12-01T08:02:53Z | 1 | kushaltatariya |
huggingface/accelerate | 3,818 | Duplicate W&B initialization in offline mode | ### System Info
```Shell
- `Accelerate` version: 1.10.1
```
### Information
- [x] The official example scripts
- [x] My own modified scripts
### Tasks
- [x] 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 (s... | https://github.com/huggingface/accelerate/issues/3818 | closed | [
"good first issue"
] | 2025-10-23T02:19:38Z | 2025-12-16T13:10:48Z | 3 | ShuyUSTC |
vllm-project/vllm | 27,347 | [Usage]: vllm: error: unrecognized arguments: --all2all-backend deepep_low_latency | ### Your current environment
```text
Collecting environment information...
==============================
System Info
==============================
OS : Ubuntu 24.04.2 LTS (x86_64)
GCC version : (Ubuntu 13.3.0-6ubuntu2~24.04) 13.3.0
Clang version : Cou... | https://github.com/vllm-project/vllm/issues/27347 | closed | [
"usage"
] | 2025-10-22T14:36:18Z | 2025-10-22T15:07:13Z | 1 | Valerianding |
vllm-project/vllm | 27,343 | [Usage]: Can't get result from /pooling api when using Qwen2.5-Math-PRM-7B online | ### Your current environment
```
The output of `python collect_env.py`
Collecting environment information... [140/1781]
============================== ... | https://github.com/vllm-project/vllm/issues/27343 | closed | [
"usage"
] | 2025-10-22T13:36:51Z | 2025-10-23T03:39:13Z | 3 | zgc6668 |
huggingface/transformers.js | 1,446 | Zhare-AI/sd-1-5-webgpu on HuggingFace.co lists itself as Transformer.js supported? | ### Question
[Zhare-AI/sd-1-5-webgpu](https://huggingface.co/Zhare-AI/sd-1-5-webgpu) is a `text-to-image` model and is marked as Transformers.js compatible, and even shows demo code using Transformers.js on its `huggingface.co` page. Their example code fails with an error saying `text-to-image` is not supported in Tra... | https://github.com/huggingface/transformers.js/issues/1446 | closed | [
"question"
] | 2025-10-22T12:20:16Z | 2025-10-24T14:33:17Z | null | LostBeard |
vllm-project/vllm | 27,336 | [Feature]: Make promt_token_ids optional in streaming response (disable by default) | ### 🚀 The feature, motivation and pitch
Starting with v0.10.2, the first server-sent event (SSE) in streaming responses now includes the full list of `prompt_token_ids`.
While this can be useful for debugging or detailed inspection, it introduces several practical issues in production environments:
1. Large payloa... | https://github.com/vllm-project/vllm/issues/27336 | closed | [
"feature request"
] | 2025-10-22T11:42:41Z | 2025-10-27T11:06:45Z | 1 | Gruner-atero |
huggingface/transformers | 41,775 | Hugging Face website and models not reachable | ### System Info
```
$ pip show transformers
Name: transformers
Version: 4.57.1
Summary: State-of-the-art Machine Learning for JAX, PyTorch and TensorFlow
Home-page: https://github.com/huggingface/transformers
Author: The Hugging Face team (past and future) with the help of all our contributors (https://github.com/hugg... | https://github.com/huggingface/transformers/issues/41775 | closed | [
"bug"
] | 2025-10-22T07:40:32Z | 2025-11-21T08:10:00Z | 8 | christian-rauch |
vllm-project/vllm | 27,319 | [Usage]: Quantized FusedMoE crashed in graph compiled stage | ### Your current environment
```text
==============================
System Info
==============================
OS : Ubuntu 24.04.2 LTS (x86_64)
GCC version : (Ubuntu 13.3.0-6ubuntu2~24.04) 13.3.0
Clang version : 19.0.0git (https://github.com/RadeonOpenC... | https://github.com/vllm-project/vllm/issues/27319 | closed | [
"rocm",
"usage"
] | 2025-10-22T06:29:32Z | 2025-10-24T02:19:55Z | 1 | Rus-P |
vllm-project/vllm | 27,298 | [Doc]: Update metrics documentation to remove V0 references and add v1 changes. | ## Problem
The metrics documentation in `docs/design/metrics.md` still contains references to V0 metrics implementation, but V0 metrics have been removed after @njhill 's PR https://github.com/vllm-project/vllm/pull/27215 was merged. To avoid confusion, I think we should remove this and update it with the new set of v... | https://github.com/vllm-project/vllm/issues/27298 | closed | [
"documentation"
] | 2025-10-21T22:08:48Z | 2025-10-22T13:29:17Z | 1 | atalhens |
vllm-project/vllm | 27,268 | [Usage]: failed to infer device type on GCP COS despite nvidia container toolkit installed | ### Your current environment
I failed to run this script on GCP COS.
### How would you like to use vllm
I was trying to use VLLM on a Google Cloud (GCP) Container-Optimized OS (COS) instance via Docker.
I followed GCP's [documentation](https://cloud.google.com/container-optimized-os/docs/how-to/run-gpus) to insta... | https://github.com/vllm-project/vllm/issues/27268 | open | [
"usage"
] | 2025-10-21T15:24:21Z | 2025-10-21T15:24:21Z | 0 | forrestbao |
vllm-project/vllm | 27,265 | [Usage]: Cannot register custom model (Out-of-Tree Model Integration) | ```
### Your current environment
==============================
Versions of relevant libraries
==============================
[pip3] flake8==7.1.1
[pip3] flashinfer==0.1.6+cu124torch2.4
[pip3] flashinfer-python==0.2.5
[pip3] mypy-extensions==1.0.0
[pip3] numpy==1.26.4
[pip3] nvidia-cublas-cu12==12.4.5.8
[pip3] nvidia-... | https://github.com/vllm-project/vllm/issues/27265 | closed | [
"usage"
] | 2025-10-21T14:17:17Z | 2025-10-25T13:19:40Z | 1 | Hyperwjf |
vllm-project/vllm | 27,263 | [Responses API] Support tool calling and ouput token streaming | Splitting off from #14721
> FYI a start has been made here https://github.com/vllm-project/vllm/pull/20504
>
> That PR (which was merged to `main` on [7/9/2025](https://github.com/vllm-project/vllm/pull/20504#event-18495144925)) explicitly has an unchecked boxes for
>
> * [ ] Tool/functional calling support
> * [ ] ... | https://github.com/vllm-project/vllm/issues/27263 | open | [] | 2025-10-21T12:36:44Z | 2025-12-07T01:06:46Z | 4 | markmc |
vllm-project/vllm | 27,252 | [Usage]: ”@app.post("/generate")“ API is support qwen2_vl or not? | ### Your current environment
i want tot know ”@app.post("/generate")“ API support qwen2_vl or not?
### How would you like to use vllm
I want to run inference of a [specific model](put link here). I don't know how to integrate it with vllm.
### Before submitting a new issue...
- [x] Make sure you already searched... | https://github.com/vllm-project/vllm/issues/27252 | open | [
"usage"
] | 2025-10-21T07:30:11Z | 2025-10-21T07:30:11Z | 0 | wwkww |
huggingface/lerobot | 2,269 | how to configure pi0_base to train with single camera dataset |
Hi,
I'm trying to train pi0_base with "lerobot/aloha_sim_transfer_cube_human" dataset which has only one camera input "observation.images.top". However, pi0 seems to expect three camera inputs:
"observation.images.base_0_rgb",
"observation.images.left_wrist_0_rgb",
"observation.images.right_wrist_0_rgb"
"ValueError:... | https://github.com/huggingface/lerobot/issues/2269 | open | [
"question",
"policies",
"dataset"
] | 2025-10-21T01:32:50Z | 2025-10-21T17:36:17Z | null | dalishi |
vllm-project/vllm | 27,233 | gguf run good | ### Your current environment
from vllm import LLM, SamplingParams
gguf_path = "/home/m/Desktop/vllm/vllm/examples/offline_inference/basic/Qwen3-1.7B-GGUF/Qwen3-1.7B-Q6_K.gguf"
llm = LLM(
gguf_path,
tokenizer="Qwen/Qwen3-1.7B"
)
params = SamplingParams(
temperature=0.8,
top_p=0.9,
top_k=40,
m... | https://github.com/vllm-project/vllm/issues/27233 | open | [
"usage"
] | 2025-10-21T00:11:26Z | 2025-10-22T00:44:10Z | 12 | kmnnmk212-source |
vllm-project/vllm | 27,228 | [Installation]: Compatibility with PyTorch 2.9.0? | ### Your current environment
```text
The output of `python collect_env.py`
```
### How you are installing vllm
Is there a version of vllm that is compatible with the latest PyTorch release 2.9.0?
```
pip install vllm==0.11.0
pip install torch==2.9.0
```
```
$ vllm bench latency --input-len 256 --output-len 256 --... | https://github.com/vllm-project/vllm/issues/27228 | closed | [
"installation"
] | 2025-10-20T21:10:24Z | 2025-10-21T22:40:15Z | 3 | andrewor14 |
vllm-project/vllm | 27,208 | [Feature]: Upgrade CUDA version to 12.9.1 in docker images | ### 🚀 The feature, motivation and pitch
The current builds display warning logs like these
```
Warning: please use at least NVCC 12.9 for the best DeepGEMM performance
```
Can we bump this version easily?
### Alternatives
_No response_
### Additional context
_No response_
### Before submitting a new issue...
-... | https://github.com/vllm-project/vllm/issues/27208 | closed | [
"feature request"
] | 2025-10-20T16:08:49Z | 2025-10-21T21:20:19Z | 1 | jhuntbach-bc |
huggingface/lerobot | 2,259 | Clarifications on fine-tuning on different envs and embodiments | Hi everyone,
I’m currently working on fine-tuning SmolVLA and π₀ using **[RLBench](https://github.com/stepjam/RLBench)**. The robot setup is a Franka Emika Panda (7DoF + gripper), and I’ve already collected custom LeRobot datasets for a pick-and-place task ([available on my Hugging Face](https://huggingface.co/RonPlusS... | https://github.com/huggingface/lerobot/issues/2259 | open | [
"question",
"policies",
"simulation"
] | 2025-10-20T13:24:22Z | 2025-12-23T10:37:31Z | null | RonPlusSign |
vllm-project/vllm | 27,184 | [Doc]: Multi-Modal Benchmark is too simple | ### 📚 The doc issue
The latest doc about Multi-Modal Benchmark shows ：
- 1、download sharegpt4v_instruct_gpt4-vision_cap100k.json and COCO's 2017 Train images
- 2、vllm serve and vllm bench serve
But there is so much details to concern:
- 1、delete all json that not is coco`s in sharegpt4v_instruct_gpt4-vision_cap100k... | https://github.com/vllm-project/vllm/issues/27184 | open | [
"documentation"
] | 2025-10-20T06:24:18Z | 2025-10-20T16:44:17Z | 2 | BigFaceBoy |
vllm-project/vllm | 27,182 | [Feature]: INT8 Support in Blackwell Arch | ### 🚀 The feature, motivation and pitch
hello, I want to use w8a8(int8) in blackwell gpus, and when I read the source code, it says, the int8 is not support by sm120. According to the nvidia-ptx-instructions, blackwell series gpus still have a int8 tensor, is there another way we use w8a8 int8 in rtx5090 by vllm now ... | https://github.com/vllm-project/vllm/issues/27182 | open | [
"feature request"
] | 2025-10-20T06:04:03Z | 2025-10-20T06:04:03Z | 0 | nhanngoc94245 |
huggingface/optimum | 2,376 | Support qwen2_5_vl for ONNX export | ### Feature request
I would like to be able to convert [this model](https://huggingface.co/prithivMLmods/DeepCaption-VLA-V2.0-7B) which is based on Qwen 2.5 VL architecture using optimum. Right now, I get the error:
```
ValueError: Trying to export a qwen2_5_vl model, that is a custom or unsupported architecture, but... | https://github.com/huggingface/optimum/issues/2376 | open | [] | 2025-10-19T22:08:28Z | 2026-01-06T08:03:39Z | 8 | ayan4m1 |
huggingface/transformers | 41,731 | transformers CLI documentation issue | ### System Info
- `transformers` version: 5.0.0.dev0
- Platform: Linux-6.6.87.2-microsoft-standard-WSL2-x86_64-with-glibc2.39
- Python version: 3.12.9
- Huggingface_hub version: 1.0.0.rc6
- Safetensors version: 0.6.2
- Accelerate version: 1.10.1
- Accelerate config: not found
- DeepSpeed version: not installed
- Py... | https://github.com/huggingface/transformers/issues/41731 | closed | [
"bug"
] | 2025-10-19T09:31:46Z | 2025-12-22T08:03:09Z | 14 | ArjunPimpale |
huggingface/chat-ui | 1,947 | HuggingChat MoM (Mixture-of-Models) Integration Proposal 🤗 | # **HuggingChat MoM (Mixture-of-Models) Integration Proposal 🤗**
**Status:** Proposal
**Date:** 2025-10-19
**Version:** 1.0
**Authors**: vLLM-SR Team
---
## Executive Summary
This proposal outlines the integration of **vLLM Semantic Router** into HuggingChat as a new **MoM (Mixture-of-Models)** routing option.... | https://github.com/huggingface/chat-ui/issues/1947 | open | [
"enhancement"
] | 2025-10-19T08:17:14Z | 2025-10-20T11:12:30Z | 3 | Xunzhuo |
huggingface/tokenizers | 1,877 | encode bytes directly | Is there a way to directly encode bytes with a bpe based HF tokenizer without having to decode the string first? | https://github.com/huggingface/tokenizers/issues/1877 | open | [] | 2025-10-19T03:30:39Z | 2025-11-28T07:43:18Z | 2 | tsengalb99 |
vllm-project/vllm | 27,154 | [Installation]: How to reduce the vllm image | ### Your current environment
Hi,
I looked at docker pull vllm/vllm-openai:latest — the image is around 12 GB. I’m exploring ways to reduce the vLLM image size specifically for NVIDIA L40s (i use linux amd64). any ideas?
does building vllm from source help to reduce the image?
Here’s what I’ve tried so far (but not s... | https://github.com/vllm-project/vllm/issues/27154 | open | [
"installation"
] | 2025-10-18T17:52:07Z | 2025-10-20T17:45:39Z | 4 | geraldstanje |
vllm-project/vllm | 27,153 | [Feature]: Allow vllm bench serve in non-streaming mode with /completions API | ### 🚀 The feature, motivation and pitch
vLLM’s bench serve currently supports recording benchmark results only in the streaming mode - recording metrics like TTFT, TPOT, ITL etc. For my use case benchmarking [llm-d ](https://github.com/llm-d/llm-d)which uses vLLM, I would like to enable vllm bench serve in non-stream... | https://github.com/vllm-project/vllm/issues/27153 | open | [
"feature request"
] | 2025-10-18T17:47:44Z | 2025-10-18T20:50:49Z | 0 | susiejojo |
huggingface/candle | 3,137 | Strategic Discussion: Flicker's Hybrid Architecture for Lightweight Inference + Advanced Training | # Strategic Discussion: Flicker's Hybrid Architecture Evolution
## Overview
This issue proposes a comprehensive strategic discussion about flicker's positioning and architecture evolution. The detailed proposal is documented in `STRATEGIC_DISCUSSION_PROPOSAL.md`.
## Context
During analysis of flicker's capabilities v... | https://github.com/huggingface/candle/issues/3137 | closed | [] | 2025-10-18T17:27:24Z | 2025-10-21T16:18:51Z | 1 | jagan-nuvai |
huggingface/lerobot | 2,245 | release 0.4.0 and torch 2.8.0 | Hello Lerobot Team! :)
Quick question, do you have a time estimate for:
- lerobot release 0.4.0 (ie next stable release using the new v30 data format)
- bumping torch to 2.8
Thanks a lot in advance!
| https://github.com/huggingface/lerobot/issues/2245 | closed | [
"question",
"dependencies"
] | 2025-10-18T16:57:07Z | 2025-10-19T18:34:47Z | null | antoinedandi |
huggingface/lerobot | 2,242 | Is it no longer possible to fine-tune the previously used π0 model? | I previously trained a model using the following command for fine-tuning:
`lerobot-train --dataset.repo_id=parkgyuhyeon/slice-clay --policy.path=lerobot/pi0 --output_dir=outputs/train/pi0_slice-clay --job_name=pi0_slice-clay --policy.device=cuda --wandb.enable=false --wandb.project=lerobot --log_freq=10 --steps=50000 ... | https://github.com/huggingface/lerobot/issues/2242 | closed | [
"question",
"policies"
] | 2025-10-18T08:42:35Z | 2025-10-20T00:18:03Z | null | pparkgyuhyeon |
huggingface/lerobot | 2,239 | Models trained using openpi pi0.5 on Lerobot's pi0.5 | Hi, can I check if models trained using the [pytorch port of openpi's pi0.5](https://github.com/Physical-Intelligence/openpi?tab=readme-ov-file#pytorch-support) are compatible with lerobot's defination of pi0.5?
Thanks! | https://github.com/huggingface/lerobot/issues/2239 | open | [
"question",
"policies"
] | 2025-10-18T02:01:45Z | 2025-10-18T10:54:06Z | null | brycegoh |
huggingface/lerobot | 2,228 | Trossen WidowX AI model, depth cameras and tests | Hi,
Would you be open to receive pull requests to support more recent trossen robotics setups as well as depth cameras? I think for the robot part the pattern is quite well established. For depth cameras we solved it by tweaking a bit the dataset utils.
Our implementation is fairly tested. | https://github.com/huggingface/lerobot/issues/2228 | closed | [
"question",
"robots"
] | 2025-10-17T09:32:22Z | 2025-10-31T19:15:25Z | null | lromor |
vllm-project/vllm | 27,090 | [Usage]: Does vLLM support a data-parallel group spanning multiple nodes when starting an online service? | ### Your current environment
```text
The output of `python collect_env.py`
```
### How would you like to use vllm
Does vLLM support a data-parallel group spanning multiple nodes when starting an online service?
### Before submitting a new issue...
- [x] Make sure you already searched for relevant issues, and ask... | https://github.com/vllm-project/vllm/issues/27090 | open | [
"usage"
] | 2025-10-17T09:15:04Z | 2025-10-20T02:37:19Z | 2 | KrisLu999 |
vllm-project/vllm | 27,086 | [Bug]: After enabling P-D Disaggregation, the final output results are not entirely identical. | ### Your current environment
vllm VERSION： 0.10.1
### 🐛 Describe the bug
When I fixed the random seed and ensured all environment variables were consistent, I noticed that launching PD separation with the same configuration produced inconsistent final outputs. This phenomenon may require multiple attempts to fully ... | https://github.com/vllm-project/vllm/issues/27086 | open | [
"bug"
] | 2025-10-17T07:56:41Z | 2025-10-20T09:16:21Z | 4 | freedom-cui |
huggingface/lerobot | 2,227 | How to easily run inference with a trained model | Hello, and thank you for sharing such an inspiring project!
I’m currently working with a 7-DoF robotic arm (6 joint axes + 1 gripper) and generating datasets through video recordings for training on smolVLA. Since there’s still some ongoing engineering work related to dataset generation, I’d like to start by understan... | https://github.com/huggingface/lerobot/issues/2227 | open | [
"question"
] | 2025-10-17T05:41:15Z | 2025-12-16T02:57:00Z | null | Biz-Joe |
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