diff --git a/pyproject.toml b/pyproject.toml index ca3639b3aa..1226094c5f 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -17,7 +17,7 @@ dependencies = [ "torchvision", "torchaudio", "torchdata>=0.11.0", - "transformers", + "transformers==5.6.2", "vllm>=0.22.0", "mooncake-transfer-engine>=0.3.10.post2", "wandb>=0.26.1", @@ -128,7 +128,6 @@ dev = [ "ruff>=0.12.1", ] - [tool.uv] # Enforce a uv version that supports the friendly-duration form # (`"7 days"`) in the static pyproject parser. Older uvs silently parse @@ -147,7 +146,7 @@ environments = [ override-dependencies = [ "nvidia-cudnn-cu12>=9.15", "nvidia-cutlass-dsl>=4.4.1", - "transformers>=5.1.0.dev0", + "transformers==5.6.2", "torch>=2.9.0", "openenv-core", ] @@ -231,7 +230,6 @@ torchvision = { index = "pytorch-cu128" } torchaudio = { index = "pytorch-cu128" } torchtitan = { git = "https://github.com/pytorch/torchtitan", rev = "a1fdd7e" } dion = { git = "https://github.com/samsja/dion.git", rev = "d891eeb" } -transformers = { git = "https://github.com/huggingface/transformers.git", rev = "c1c3424" } flash-attn-4 = { git = "https://github.com/Dao-AILab/flash-attention.git", subdirectory = "flash_attn/cute", rev = "96bd151" } vllm-router = { url = "https://github.com/PrimeIntellect-ai/router/releases/download/v0.1.26/vllm_router-0.1.26-cp38-abi3-manylinux_2_28_x86_64.whl" } vllm = [ diff --git a/skills/training/start-run/SKILL.md b/skills/training/start-run/SKILL.md index 813d793e3e..415778c437 100644 --- a/skills/training/start-run/SKILL.md +++ b/skills/training/start-run/SKILL.md @@ -34,6 +34,12 @@ uv run rl @ examples/reverse_text/rl.toml --dry-run - Config: `RLConfig` (`packages/prime-rl-configs/src/prime_rl/configs/rl.py`) - Entrypoint: `src/prime_rl/entrypoints/rl.py` - SLURM: single- and multi-node +- Environment packages: before launching a config with a non-core verifier env id, + verify the package imports under `uv run` (for example + `uv run python -c "import importlib.util; print(importlib.util.find_spec('rlm_swe'))"`). + If a local env exists under `deps/research-environments/environments/` but does not + import, add it to the root `pyproject.toml` env extra, workspace members, and + `[tool.uv.sources]`, then run `uv sync --all-extras`. ## `sft` — SFT training diff --git a/src/prime_rl/trainer/ckpt.py b/src/prime_rl/trainer/ckpt.py index 296554e0e8..a9fffdb7d5 100644 --- a/src/prime_rl/trainer/ckpt.py +++ b/src/prime_rl/trainer/ckpt.py @@ -420,7 +420,6 @@ def save( f"Converted PrimeRL format to HF format in {time.perf_counter() - start_time:.2f} seconds" ) else: - # For regular transformers models, revert internal format to original HF hub format from transformers.core_model_loading import revert_weight_conversion self.logger.debug("Reverting transformers internal format to HF hub format for weight checkpoint") diff --git a/src/prime_rl/trainer/model.py b/src/prime_rl/trainer/model.py index 6e82d6d8d4..d169aeedbc 100644 --- a/src/prime_rl/trainer/model.py +++ b/src/prime_rl/trainer/model.py @@ -79,7 +79,7 @@ def _patch_qwen3_5_moe_conversion_mapping(): incorrectly maps qwen3_5_moe → qwen2_moe, which assumes per-expert 2D checkpoint weights, causing revert_weight_conversion to produce wrong shapes during weight broadcasting. - Remove once the pinned transformers commit fixes this. + Remove once an official Transformers release fixes this. """ from transformers.conversion_mapping import ( get_checkpoint_conversion_mapping, @@ -99,7 +99,7 @@ def _patch_qwen3_5_text_position_ids(): """Fix Qwen3.5 passing 3D MRoPE position_ids to decoder layers instead of 2D text_position_ids. Upstream fix: https://github.com/huggingface/transformers/pull/44399 - Remove once the pinned transformers commit includes this fix. + Remove once an official Transformers release includes this fix. 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