Model Overview
This model, laion/stackexchange-tezos-sandboxes_glm_4_7_traces_locetash, is an 8 billion parameter language model derived from the Qwen/Qwen3-8B architecture. It has undergone specialized fine-tuning on the DCAgent/stackexchange-tezos-sandboxes_glm_4.7_traces_locetash dataset.
Key Characteristics
- Base Model: Qwen/Qwen3-8B, a robust foundation for language understanding and generation.
- Specialized Fine-tuning: Trained on a dataset specifically related to "stackexchange-tezos-sandboxes" and "glm_4.7_traces_locetash," indicating a focus on technical content within the Tezos ecosystem, potentially involving smart contract interactions or development environments.
- Parameter Count: 8 billion parameters, offering a balance between performance and computational efficiency.
Training Details
The fine-tuning process utilized the following hyperparameters:
- Learning Rate: 4e-05
- Batch Size: A total training batch size of 16 (1 per device across 8 GPUs with 2 gradient accumulation steps).
- Optimizer: ADAMW_TORCH_FUSED with specific beta and epsilon values.
- Scheduler: Cosine learning rate scheduler with a 0.1 warmup ratio.
- Epochs: Trained for 7.0 epochs.
Intended Use Cases
Given its specialized training, this model is likely best suited for tasks requiring deep understanding or generation of content related to:
- Tezos blockchain development.
- Analysis of Tezos smart contract traces.
- Interacting with or generating content for Tezos sandbox environments.
- Answering questions or summarizing information from Stack Exchange discussions pertinent to Tezos.