LSW142857/OPSD-PI-Qwen3.5-9B-Strong-Trailing-1024-A6000-Merged-Update08
LSW142857/OPSD-PI-Qwen3.5-9B-Strong-Trailing-1024-A6000-Merged-Update08 is a 9 billion parameter Qwen3.5-based causal language model developed by LSW142857. This model represents the eighth optimizer update from an OPSD run, incorporating merged expert-SFT initialization, OPSD main-model LoRA, and MTP LoRA updates. It is designed for direct loading without additional adapter merging, making it suitable for applications requiring a fully integrated model from a specific training iteration.
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Model Overview
LSW142857/OPSD-PI-Qwen3.5-9B-Strong-Trailing-1024-A6000-Merged-Update08 is a 9 billion parameter model derived from the Qwen3.5 architecture. This specific release is the result of 8 completed optimizer updates (training iteration 7) from a 1024-row Strong PI trailing_user OPSD run utilizing 8×RTX A6000 GPUs. The model is provided as a fully merged Hugging Face repository, meaning it can be loaded directly without requiring any additional adapter or merge steps.
Key Characteristics
- Fully Merged: Contains merged expert-SFT initialization, OPSD main-model LoRA updates, MTP LoRA updates, and directly trained full-MTP tensors. No further merging is needed post-download.
- Provenance: Represents a specific snapshot after the eighth optimizer update, with integrity verifiable via
sha256sumchecks against provided manifests. - Training Context: The PI (presumably 'Private Information' or 'Personal Information' based on context) was teacher-only during training, suggesting the model's student component should be evaluated independently.
Usage Considerations
- Direct Loading: Designed for straightforward integration into projects using
transformerslibrary, as shown in the provided Python snippet. - Evaluation: Users are advised to evaluate the student model without adding PI and to use held-out tasks, rather than the 1024 rows used during its training, to assess performance accurately.