Update README.md
Browse files
README.md
CHANGED
|
@@ -12,7 +12,6 @@ tags: [qlora, peft, fine-tuning, javascript, causal-lm]
|
|
| 12 |
This is the model card for `gemma-js-instruct-finetune`, a fine-tuned version of the `gemma-2b-it` model. This fine-tuned model was trained to improve the performance of generating long-form, structured responses to JavaScript-related instructional tasks. The fine-tuning process used the QLoRA (Quantized Low-Rank Adaptation) method, enabling efficient parameter tuning on limited hardware resources.
|
| 13 |
|
| 14 |
- **Developed by:** Arnav Jain and collaborators
|
| 15 |
-
- **Funded by [optional]:** [More Information Needed]
|
| 16 |
- **Shared by:** [Arnav Jain](https://huggingface.co/arnavj007)
|
| 17 |
- **Model type:** Decoder-only causal language model
|
| 18 |
- **Language(s) (NLP):** English
|
|
|
|
| 12 |
This is the model card for `gemma-js-instruct-finetune`, a fine-tuned version of the `gemma-2b-it` model. This fine-tuned model was trained to improve the performance of generating long-form, structured responses to JavaScript-related instructional tasks. The fine-tuning process used the QLoRA (Quantized Low-Rank Adaptation) method, enabling efficient parameter tuning on limited hardware resources.
|
| 13 |
|
| 14 |
- **Developed by:** Arnav Jain and collaborators
|
|
|
|
| 15 |
- **Shared by:** [Arnav Jain](https://huggingface.co/arnavj007)
|
| 16 |
- **Model type:** Decoder-only causal language model
|
| 17 |
- **Language(s) (NLP):** English
|