laion/sft__stackexchange-tezos-sandboxes__Kimi-2-5-smaxeps-32k__Qwen3-8B
This model is a fine-tuned Qwen3-8B language model, developed by Qwen, with 8 billion parameters and a 32k token context length. It has been specifically fine-tuned on a dataset derived from StackExchange Tezos sandboxes. This specialization suggests its primary utility lies in generating responses or understanding content related to the Tezos blockchain ecosystem and sandbox environments.
Loading preview...
Model Overview
This model is a specialized fine-tuned version of the Qwen3-8B architecture, featuring 8 billion parameters and supporting a substantial 32,768 token context length. It was trained using a learning rate of 4e-05 over 7 epochs, with a total batch size of 96 across 32 GPUs.
Key Specialization
The model's unique characteristic is its fine-tuning on the /e/data1/datasets/playground/ot/hf_hub/datasets--penfever--stackexchange-tezos-sandboxes__Kimi-2.5-smaxeps-32k/snapshots/33375d18f3a1d98976944789905e380fce397c46_thinking_preprocessed dataset. This indicates a strong focus on content related to:
- Tezos blockchain: Understanding and generating information about the Tezos platform.
- StackExchange data: Leveraging the question-and-answer format and technical discussions typical of StackExchange.
- Sandbox environments: Potentially adept at handling queries or generating content concerning development and testing environments within the Tezos ecosystem.
Training Details
- Base Model: Qwen/Qwen3-8B
- Learning Rate: 4e-05
- Optimizer: AdamW_Torch_Fused
- Epochs: 7.0
- Context Length: 32,768 tokens
Potential Use Cases
Given its specific training data, this model is likely well-suited for applications requiring deep knowledge or generation capabilities within the Tezos blockchain domain, particularly for tasks involving technical support, documentation, or Q&A related to Tezos sandboxes.