Who contributed to Hugging Face on June 18, 2026?

5 developers shipped this update, including AmineDiro, albertvillanova, nicolas-rabault, sharktide, and merveenoyan.

What were the notable Hugging Face updates?

Add MoE auxiliary loss to GRPO, RLOO, and AsyncGRPO trainers, Add MoE auxiliary loss to GRPO, RLOO, and AsyncGRPO trainers (#6083), and Hotfix CI: Temporarily pin deepspeed < 0.19.2.

@huggingface

Transformers, Datasets, and the open AI-model layer

github ↗

Pick a date

Topics: Python AI / ML Full archive →

The Wire · Showcase

TRL ADDS MOE LOAD BALANCING TO REINFORCEMENT LEARNING TRAINERS

Q: What shipped in Hugging Face on June 18, 2026?

The TRL library now balances expert utilization across GRPO, RLOO, and AsyncGRPO trainers, closing a critical gap for anyone post-training mixture-of-experts models at scale. In total, 8 commits and 8 pull requests landed.

By RepoJournal · Filed 06:04 UTC on June 18, 2026 · About Hugging Face

5 people shipped this

AmineDiro @AmineDiro 1 cited

albertvillanova @albertvillanova 1 cited

nicolas-rabault @nicolas-rabault 1 cited

sharktide @sharktide 1 cited

merveenoyan @merveenoyan 1 cited

The TRL library now balances expert utilization across GRPO, RLOO, and AsyncGRPO trainers, closing a critical gap for anyone post-training mixture-of-experts models at scale.

The auxiliary router loss that kept experts balanced in SFTTrainer [1] is now available across all three RL training paths [2]. This matters: MoE models without load balancing collapse into pathological states where most experts sit idle, tanking efficiency and training stability. You enable it via model_init_kwargs with output_router_logits=True and a router_aux_loss_coef. In parallel, TRL cut a hotfix pinning DeepSpeed below 0.19.2 [3] to unblock CI after a recent compatibility break. LeRobot patched a race condition in camera read loops where stop_event could flip to None mid-loop [4], a classic time-of-check/time-of-use bug that would have caused hard crashes under load. The huggingface.js hardware catalog now recognizes Blackwell B300 and datacenter variants [6], letting the ecosystem start mapping inference workloads to the latest silicon. Documentation across the stack is catching up: LeRobot documented the new LeLab web interface [5] for teleoperation and training without CLI, and llama.cpp snippets shifted to the unified `llama serve` and `llama cli` commands [7].

Action items

→ Review and merge TRL MoE auxiliary loss PR before training large MoE runs huggingface/trl [plan]
→ Upgrade TRL and pin DeepSpeed < 0.19.2 to unblock CI huggingface/trl [immediate]
→ Update LeRobot to latest patch for camera stability in production recording huggingface/lerobot [plan]

References

[1] Add MoE auxiliary loss to GRPO, RLOO, and AsyncGRPO trainers ↗ huggingface/trl
[2] Add MoE auxiliary loss to GRPO, RLOO, and AsyncGRPO trainers (#6083) huggingface/trl
[3] Hotfix CI: Temporarily pin deepspeed < 0.19.2 ↗ huggingface/trl
[4] fix(cameras): snapshot stop_event in read loops to avoid None deref (#3812) huggingface/lerobot
[5] docs: add LeLab web interface to README ↗ huggingface/lerobot
[6] feat(hardware): Add B300 + other GPUs to hardware-nvidia.ts ↗ huggingface/huggingface.js
[7] replace llama-server and llama-cli ↗ huggingface/huggingface.js

Quick answers

What shipped in Hugging Face on June 18, 2026?: The TRL library now balances expert utilization across GRPO, RLOO, and AsyncGRPO trainers, closing a critical gap for anyone post-training mixture-of-experts models at scale. In total, 8 commits and 8 pull requests landed.
Who contributed to Hugging Face on June 18, 2026?: 5 developers shipped this update, including AmineDiro, albertvillanova, nicolas-rabault, sharktide, and merveenoyan.
What were the notable Hugging Face updates?: Add MoE auxiliary loss to GRPO, RLOO, and AsyncGRPO trainers, Add MoE auxiliary loss to GRPO, RLOO, and AsyncGRPO trainers (#6083), and Hotfix CI: Temporarily pin deepspeed < 0.19.2.

TRANSFORMERS-CI SHIPS INTELLIGENT TEST TRIAGE, CUTS LLM NOISE 100X

Hugging Face's serge verify loop now distills 100KB failure tracebacks down to the actual assertion, runs every test 5 times to catch flakiness, and dispatches each failure category with a custom instruction before spinning GPU or consuming a single LLM token.

python 45 shipped 2-min read

@huggingface 2 days ago

TRL CI BURNS, BITSANDBYTES PINNED BELOW 0.50.0

Hugging Face's TRL training library is firefighting two separate CI failures overnight, forcing temporary pins on bitsandbytes and xfailing critical tests against a broken transformers dev build.

python 7 shipped 1-min read

@huggingface 3 days ago

TRANSFORMERS OVERHAULS LINEAR ATTENTION WHILE DEPRECATING LEGACY RESPONSE SCHEMA

The transformers library is retiring its fragile response_schema prototype in favor of streaming-compatible parsing, while simultaneously refactoring every linear attention model to use standardized convolution patterns.

python 70 shipped 2-min read

@huggingface 4 days ago

TRANSFORMERS SHIPS FSDP DISTRIBUTED TRAINING STACK, HUB LIBRARY PLUGS REDOS HOLE

Hugging Face landed distributed training orchestration in transformers while plugging a regex vulnerability that could stall untrusted card parsing for minutes.

+10

python 61 shipped 1-min read

Elsewhere on the wire

AI Agents about 21 hours ago

CLINE SHIPS FIVE CRITICAL AGENT FIXES AFTER END-TO-END TESTING BLITZ

Saoudrizwan just landed a cascade of fixes that prevent the agent loop from running wild, stop file reads from resolving to the wrong directory, and plug the compaction pipeline.

ai-agents 16 shipped 2-min read

Local LLMs about 21 hours ago

LLAMA.CPP SHIPS MINIMAX-M3 SPARSE ATTENTION, VLLM UNLOCKS HETEROGENEOUS PREFILL-DECODE

The inference stack gets a new model architecture and a fundamental shift in how prefill and decode can run on different hardware configurations.

+10

llms 125 shipped 1-min read

@CachyOS about 21 hours ago

GLIBC 2.43 REBUILD SHIPS, INSTALLER JUMPS TO C++26

CachyOS pushed glibc 2.43 through the pipeline while the CLI installer upgraded its C++ standard to C++26, signaling a major refresh across core infrastructure.

infra 97 shipped 1-min read

Elixir & Phoenix about 21 hours ago

ECTO FIXES SUBQUERY PLANNING IN JOINS, ELIXIR PATCHES IEX PARSING

Ecto's query planner now handles subqueries correctly in interpolated join filters, while Elixir fixes a syntax error that broke 'not in' as a continuation operator in IEx.