GLM-5.3 is live. Run Z.ai's latest model on Friendli Model APIs. Try it today ➜
SeongryongJung
Available on FriendliAI
Run this model inference on single tenant GPU with unmatched speed and reliability at scale.
Run this model inference with full control and performance in your environment.
Model Details
Model Provider
SeongryongJung
Model Tree
Input Modalities
Output Modalities
Supported Functionality
Metric: val-aux/tooluse/reward/mean@16 from 10-step validation logs.
| best mean@16 | best step | final mean@16 | final step |
|---|---|---|---|
| 63.42% | 70 | 60.11% | 100 |
| step | mean@16 |
|---|---|
| 10 | 59.93% |
| 20 | 56.07% |
| 30 | 60.29% |
| 40 | 58.82% |
| 50 | 59.56% |
| 60 | 60.94% |
| 70 | 63.42% |
| 80 | 61.21% |
| 90 | 58.46% |
| 100 | 60.11% |
Files included with this repo:
metrics.json: parsed validation summaryeval_mean16.csv: step-level validation curve dataeval_mean16.png: validation curve plotImportant: the uploaded weights are the final global_step_100/actor checkpoint. If best step is earlier than 100, the best validation point is reported for tracking, but the corresponding actor weights may not be retained locally.
Checkpoint source:
/mnt/mole/SDPO/L2T/checkpoints/datasets/tooluse/qwen3gen-tooluse-RLSD-Qwen-Qwen3-4B-mbs8-decay0-ema0.05-train64-rollout8-lr1e-6-vllm0.8
W&B run: run-20260630_063402-76k27fnx
This upload uses global_step_100/actor converted from VERL FSDP shards to Hugging Face format.