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 HuggingFacesafetensors. You cannotAutoModel.from_pretrained(...)these directly. - To use: reload with VERL/FSDP at the same world_size shown in the
filenames, then run VERL's
model_mergerto produce a consolidated HFsafetensorsmodel. - 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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