Instructions to use TokenBender/glm47-synth-memorization-v1-100ep with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use TokenBender/glm47-synth-memorization-v1-100ep with PEFT:
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- Notebooks
- Google Colab
- Kaggle
GLM-4.7-Flash synth-memorization SFT checkpoints
All 20 LoRA-r16 checkpoints from the 100-epoch, 8xH100 SFT run are preserved
at five-epoch intervals. Canonical training adapters are under checkpoints/.
The evaluated epoch-5, epoch-50, and epoch-100 checkpoints also include their
derived adapter-serving/ form. The conversion receipt records the exact
removal of auxiliary layer-47 tensors; the canonical adapter is retained.
Base: zai-org/GLM-4.7-Flash at 7dd20894a642a0aa287e9827cb1a1f7f91386b67. Dataset manifest SHA-256:
afec0d05d5c1f9460ac9b2ed4e65aea69775b49639c7ae727f3660308ae1b8b8. See MANIFEST.json for every checkpoint identity and
file hash. Training curves are at the W&B URL recorded in that manifest.
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zai-org/GLM-4.7-Flash