laion/stackexchange-tezos-sandboxes_glm_4_7_traces_locetash

TEXT GENERATIONConcurrency Cost:1Model Size:8BQuant:FP8Ctx Length:32kPublished:Dec 26, 2025License:apache-2.0Architecture:Transformer Open Weights Cold

The laion/stackexchange-tezos-sandboxes_glm_4_7_traces_locetash model is an 8 billion parameter language model fine-tuned from Qwen/Qwen3-8B. It was specifically trained on the DCAgent/stackexchange-tezos-sandboxes_glm_4.7_traces_locetash dataset, indicating a specialization in content related to Tezos sandboxes and potentially smart contract traces. This fine-tuning suggests its primary strength lies in understanding and generating text within this specific technical domain.

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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.