waston10086/qwen3-32b-online-gkd-20260412d-ckpt7000-safetensors
The waston10086/qwen3-32b-online-gkd-20260412d-ckpt7000-safetensors model is a 32 billion parameter language model, representing a specific checkpoint (step 7000) from the qwen3-32b-online-gkd-20260412d training run. This checkpoint was selected based on its loss value of 0.1541276574 at the saved step. It is a foundational model derived from the Qwen3 architecture, suitable for general language understanding and generation tasks.
Loading preview...
Model Overview
The waston10086/qwen3-32b-online-gkd-20260412d-ckpt7000-safetensors is a 32 billion parameter language model, specifically checkpoint 7000 from the qwen3-32b-online-gkd-20260412d training run. This particular checkpoint was chosen as the "best saved checkpoint" based on its loss value of 0.1541276574 at the time of saving. The overall training run observed a lower loss of 0.1295447946 at step 6440, though this was not a saved checkpoint.
Key Characteristics
- Model Size: 32 billion parameters, indicating a substantial capacity for complex language tasks.
- Origin: A specific checkpoint from an ongoing training process, suggesting a focus on iterative improvement and performance monitoring.
- Selection Criteria: The checkpoint was selected based on its loss metric at the saved step, aiming for a stable and performant state.
Included Components
This repository provides essential files for model deployment and usage:
- Model weight shards
- Tokenizer and configuration files
args.jsonandtrainer_state.jsonfor training context
Use Cases
This model is suitable for a wide range of applications requiring a large language model, including:
- Text generation and completion
- Question answering
- Summarization
- General natural language understanding tasks