PR149 proxy image build
🚀
smolagents
Team
community
AI & ML interests
None defined yet.
Recent Activity
View all activity
andito
updated a
Space 2 days ago
andito
published a
Space 2 days ago
andito
updated a
Space 2 days ago
andito
published a
Space 2 days ago
andito
updated a
Space 2 days ago
andito
published a
Space 2 days ago
andito
updated a
Space 3 days ago
andito
published a
Space 3 days ago
andito
updated a
Space 4 days ago
albertvillanova
posted an update 10 days ago
Post
243
Day-0 Mistral Large 4 support in TRL 🚀
- LoRA SFT of the 1T-A52B model on one 8xB300 node, on top of the FP8 checkpoint
- Experts split 8 ways with expert parallelism, everything else sharded with FSDP, all set at load time
- Assistant-only loss out of the box with its training chat template
- ~32.7k tokens per step in ~8 s
Script + Slurm launcher 👇
https://github.com/huggingface/trl/tree/main/examples/sft_mistral_large_4
https://huggingface.co/posts/sergiopaniego/408182860646834
- LoRA SFT of the 1T-A52B model on one 8xB300 node, on top of the FP8 checkpoint
- Experts split 8 ways with expert parallelism, everything else sharded with FSDP, all set at load time
- Assistant-only loss out of the box with its training chat template
- ~32.7k tokens per step in ~8 s
Script + Slurm launcher 👇
https://github.com/huggingface/trl/tree/main/examples/sft_mistral_large_4
https://huggingface.co/posts/sergiopaniego/408182860646834
andito
updated a
Space 11 days ago
Post
2,201
Hugging Face MCP Server v0.4.9
~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Attach images from hf_fs tool.
~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Attach images from hf_fs tool.
Post
1,463
Hugging Face MCP Server v0.3.29
~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Included "papers" in the new hf_fs tool. Includes listing of trending/daily.
This is a new tool under observation - disable the "Paper Semantic Search" tool for best results.
~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Included "papers" in the new hf_fs tool. Includes listing of trending/daily.
This is a new tool under observation - disable the "Paper Semantic Search" tool for best results.
hf://papers/
├── README.md
├── daily/
│ ├── latest
│ └── YYYY/
│ └── MM/
│ └── DD/
├── trending/
└── ARXIV_ID/
├── metadata.json
├── paper.md
├── models/
├── datasets/
└── spaces/albertvillanova
posted an update 4 months ago
Post
4,604
🎉 KTO is now part of the stable TRL API
As of Promote KTO to stable API, KTOTrainer and KTOConfig have graduated from trl.experimental to the stable trl API. https://github.com/huggingface/trl/pull/6175
This one closes out a long road. Over the past 6+ months, the "Align KTO with DPO" effort landed ~90 PRs methodically bringing KTO up to the standard we hold for stable trainers, one carefully-scoped change at a time:
- Feature parity with DPO: full VLM support (incl. multi-image), sync_ref_model, PEFT + Liger, ZeRO-3 + PEFT dtype fix, pad_to_multiple_of, activation offloading, IterableDataset and dict eval_dataset, remove_unused_columns, and reference-logprob precomputation at init.
- Consistency with DPO: aligned method order and signatures, tokenization, _prepare_dataset, PEFT handling, ref-model preparation for distributed training, and config layout — plus a new DataCollatorForKTO and output format. Metrics moved into _compute_loss and simplified to direct averages via the shared _metrics attribute.
- Removing legacy baggage: dropped encoder-decoder support, BOS/EOS handling, null_ref_context, generate_during_eval, model_init, preprocess_logits_for_metrics, model/ref adapter names, and several dead config knobs.
- Coverage: a full test suite mirroring DPO, text collator tests, VLM tests, and slow tests.
- The promotion itself: the experimental → stable move (#6175) and shim cleanup (#6287), handled so downstream users get a clean deprecation path.
Honestly, this has been one of the more complex tasks I've taken on since joining the team, not because any single change was hard, but because it demanded sustained consistency across a ~2,000-line trainer, with every branch, comment, and edge case kept in lockstep with DPO.
Huge thanks to everyone who reviewed along the way (especially @qgallouedec ), the incremental review cadence is exactly what kept this maintainable.
KTO now sits on equal footing with our other flagship trainers. 🚀
As of Promote KTO to stable API, KTOTrainer and KTOConfig have graduated from trl.experimental to the stable trl API. https://github.com/huggingface/trl/pull/6175
This one closes out a long road. Over the past 6+ months, the "Align KTO with DPO" effort landed ~90 PRs methodically bringing KTO up to the standard we hold for stable trainers, one carefully-scoped change at a time:
- Feature parity with DPO: full VLM support (incl. multi-image), sync_ref_model, PEFT + Liger, ZeRO-3 + PEFT dtype fix, pad_to_multiple_of, activation offloading, IterableDataset and dict eval_dataset, remove_unused_columns, and reference-logprob precomputation at init.
- Consistency with DPO: aligned method order and signatures, tokenization, _prepare_dataset, PEFT handling, ref-model preparation for distributed training, and config layout — plus a new DataCollatorForKTO and output format. Metrics moved into _compute_loss and simplified to direct averages via the shared _metrics attribute.
- Removing legacy baggage: dropped encoder-decoder support, BOS/EOS handling, null_ref_context, generate_during_eval, model_init, preprocess_logits_for_metrics, model/ref adapter names, and several dead config knobs.
- Coverage: a full test suite mirroring DPO, text collator tests, VLM tests, and slow tests.
- The promotion itself: the experimental → stable move (#6175) and shim cleanup (#6287), handled so downstream users get a clean deprecation path.
Honestly, this has been one of the more complex tasks I've taken on since joining the team, not because any single change was hard, but because it demanded sustained consistency across a ~2,000-line trainer, with every branch, comment, and edge case kept in lockstep with DPO.
Huge thanks to everyone who reviewed along the way (especially @qgallouedec ), the incremental review cadence is exactly what kept this maintainable.
KTO now sits on equal footing with our other flagship trainers. 🚀
- 2 replies
Post
2,076
Uhh did Opus 4.8 cheat on PostTrainBench??
it found an API key in the PostTrainBench environment that allowed it to generate synthetic training data without using GPU hours, boosting the base model by 0.4913
Source: https://posttrainbench.com/traces/run.html?id=claude_non_api_max_claude-opus-4-8_10h_run1__healthbench_Qwen_Qwen3-4B-Base_17315102#tab=trace
it found an API key in the PostTrainBench environment that allowed it to generate synthetic training data without using GPU hours, boosting the base model by 0.4913
Source: https://posttrainbench.com/traces/run.html?id=claude_non_api_max_claude-opus-4-8_10h_run1__healthbench_Qwen_Qwen3-4B-Base_17315102#tab=trace
- 1 reply
Post
3,500
Hugging Face MCP Server v0.3.17
~~~~~~~~~~~~~~~~~~~~~~~~~~~~
SEP-2640 "Skills Over MCP" support added (early access)
~~~~~~~~~~~~~~~~~~~~~~~~~~~~
SEP-2640 "Skills Over MCP" support added (early access)
- 3 replies
Post
6,936
Sharing how I built the LongCat-Video-Avatar 1.5 Space (+500k views on X) in one agent session. Gave a coding agent its own AI lab on ZeroGPU, framed the goal, walked away. It designed, deployed, tested against the live API, fixed, shipped.
Full recipe with the copy-paste prompt: https://huggingface.co/blog/victor/building-zerogpu-spaces-autonomously
Full recipe with the copy-paste prompt: https://huggingface.co/blog/victor/building-zerogpu-spaces-autonomously
- 1 reply
Post
385
Hugging Face MCP Server v0.3.13
~~~~~~~~~~~~~~~~~~~~~~~~~~~~
The hf_jobs tool allows mounting of volumes with hf:// URI's and some additional notes about use for data analysis.
~~~~~~~~~~~~~~~~~~~~~~~~~~~~
The hf_jobs tool allows mounting of volumes with hf:// URI's and some additional notes about use for data analysis.
Post
2,251
Hugging Face MCP Server v0.3.12
~~~~~~~~~~~~~~~~~~~~~~~~~~~~
The hub_repo_details tool now enables Dataset inspection (view splits, sample rows).
~~~~~~~~~~~~~~~~~~~~~~~~~~~~
The hub_repo_details tool now enables Dataset inspection (view splits, sample rows).
Post
340
Hugging Face MCP Server v0.3.10
~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Reverted
~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Reverted
mcp bucket in favour of upcoming MCP App integration.