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CHOI0126/c3-3b-vanilla-stage1-ckpt
c3-3b-vanilla-stage1-ckpt is a machine learning model from CHOI0126. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
Full Stage 1 align deliverable including the HF Trainer + DeepSpeed checkpoint state needed to resume training. For inference-only or as a launch point for Stage 2, the leaner sibling at CHOI0126/c3-3b-vanilla-stage1…
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Updated May 21, 2026
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From the Hugging Face model README
Full Stage 1 align deliverable including the HF Trainer + DeepSpeed checkpoint state needed to resume training. For inference-only or as a launch point for Stage 2, the leaner sibling at CHOI0126/c3-3b-vanilla-stage1 is recommended.
mm_projector.bin, processor / tokenizer, effective_config.json
(no QK-norm sidecar).checkpoint-4361/ — the final Stage 1 HF Trainer checkpoint:
model-*.safetensors (~7.7 GB, sharded) — full LM + projector at step 4361.global_step4361/ — DeepSpeed ZeRO-2 optimizer + bf16 master weights.trainer_state.json, training_args.bin, rng_state_*.pth.zero_to_fp32.py — DeepSpeed helper to consolidate the ZeRO shards.For Stage 2 launch, only the projector is consumed. To resume Stage 1 itself
(e.g. continue past 4361 steps), point HF Trainer at checkpoint-4361/:
torchrun --nproc_per_node=N -m training.train.cli \
--config training/configs/3b/c3_vanilla_align.yaml \
--resume
with output_dir set to a directory that contains checkpoint-4361/.
Same training recipe as the minimal sibling — see that repo's README for details.