YAML Metadata Warning:empty or missing yaml metadata in repo card
Check out the documentation for more information.
R2 Training Checkpoints (Stages 1–3)
We release the checkpoints from the three-stage training pipeline described in the third version of our paper. Stage 1 uses supervised fine-tuning; Stage 2 produces two checkpoints through soft-label distillation; and Stage 3 combines them through model soup to produce the final R2 models.
| Stage | Checkpoint | Nano | Small | Large |
|---|---|---|---|---|
| Stage 1 | Supervised fine-tuning | KaLM-Reranker-V1-Nano-R2-Stage1 | KaLM-Reranker-V1-Small-R2-Stage1 | KaLM-Reranker-V1-Large-R2-Stage1 |
| Stage 2 | Distillation (r64-a32) |
KaLM-Reranker-V1-Nano-R2-Stage2-r64-a32 | KaLM-Reranker-V1-Small-R2-Stage2-r64-a32 | KaLM-Reranker-V1-Large-R2-Stage2-r64-a32 |
| Stage 2 | Distillation (r96-a48) |
KaLM-Reranker-V1-Nano-R2-Stage2-r96-a48 | KaLM-Reranker-V1-Small-R2-Stage2-r96-a48 | KaLM-Reranker-V1-Large-R2-Stage2-r96-a48 |
| Stage 3 | Final R2 model | KaLM-Reranker-V1-Nano-R2 | KaLM-Reranker-V1-Small-R2 | KaLM-Reranker-V1-Large-R2 |
- Downloads last month
- -
Inference Providers NEW
This model isn't deployed by any Inference Provider. 🙋 Ask for provider support