| | --- |
| | license: mit |
| | datasets: |
| | - mengmeong/coding-skill-real-world-needs |
| | language: |
| | - en |
| | base_model: nisten/Biggie-SmoLlm-0.15B-Base |
| | pipeline_tag: text-generation |
| | inference: |
| | parameters: |
| | model_file: meng-coding-skill.gguf |
| | temperature: 1 |
| | --- |
| | # Programming Skills Learning Path Model |
| |
|
| | This model is a fine-tuned version of the base mdoel designed to generate path of learning a skill based on input text. It's particularly useful for identifying emerging trends and skill combinations in the rapidly evolving tech landscape. |
| |
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| | ## Usage & Limitations |
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| | The model is intended for: |
| | - Deploying in limited CPU resource, with average about 40 tps on 1 CPU core |
| |
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| | The model has limits: |
| | - The dataset might not capture the very latest tools development in programming world |
| | - Chatbot usecase does not fit the model usecase |
| | - The model only return the response as JSON list. |
| |
|
| | Please note that this model was trained on a custom dataset and may reflect biases present in that data. |
| |
|
| | ### Training Hyperparameters |
| |
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| | - **Batch Size:** 4 |
| | - **Optimizer:** Experimental GrokAdamW |
| |
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| | ## Little Training Metrics |
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