Qwen3-8B FinQA RL Checkpoints (archive)

Archive of VERL/GRPO RL training checkpoints for Qwen3-8B on the fin_text_qa project. Uploaded as a cold backup before reclaiming FSx scratch storage. Weights only — optimizer state was excluded to save space.

⚠️ Format notes (read before use)

  • Weights are stored as raw FSDP sharded checkpoints (actor/model_world_size_N_rank_*.pt), not HuggingFace safetensors. You cannot AutoModel.from_pretrained(...) these directly.
  • To use: reload with VERL/FSDP at the same world_size shown in the filenames, then run VERL's model_merger to produce a consolidated HF safetensors model.
  • The actor/huggingface/ subfolder contains only tokenizer + config (no weights).
  • Optimizer state was NOT uploaded — these checkpoints are for inference/merging, not for resuming RL.

Contents

Only the final complete step of each run is archived (one full model-shard set per run). Intermediate steps and 3 other runs whose shards were left incomplete by an interrupted (disk-full) save were not archivable and were dropped.

Subfolder Step world_size Approx weights
qwen3_8b_gt_replicate/global_step_1500 1500 8 ~31 GB
qwen3_8b_gt_versatile_v060/global_step_3100 3100 8 ~31 GB
qwen3_8b_gt_default/global_step_1000 1000 32 ~31 GB
qwen3_8b_fc_v060/global_step_300 300 8 ~31 GB

Base model: Qwen/Qwen3-8B. Trainer: VERL (GRPO). Original run dates: Apr 2026.

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