Unsloth Model Card

README.md

@@ -1,59 +1,21 @@
 ---
 base_model: unsloth/gemma-3-270m-it-unsloth-bnb-4bit
-library_name: transformers
-model_name: mathgemma-3-270m
 tags:
-- generated_from_trainer
+- text-generation-inference
+- transformers
 - unsloth
-- sft
-- trl
-licence: license
+- gemma3_text
+license: apache-2.0
+language:
+- en
 ---
 
-# Model Card for mathgemma-3-270m
+# Uploaded finetuned  model
 
-This model is a fine-tuned version of [unsloth/gemma-3-270m-it-unsloth-bnb-4bit](https://huggingface.co/unsloth/gemma-3-270m-it-unsloth-bnb-4bit).
-It has been trained using [TRL](https://github.com/huggingface/trl).
+- **Developed by:** mdsam33r
+- **License:** apache-2.0
+- **Finetuned from model :** unsloth/gemma-3-270m-it-unsloth-bnb-4bit
 
-## Quick start
+This gemma3_text model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
 
-```python
-from transformers import pipeline
-
-question = "If you had a time machine, but could only go to the past or the future once and never return, which would you choose and why?"
-generator = pipeline("text-generation", model="mdsam33r/mathgemma-3-270m", device="cuda")
-output = generator([{"role": "user", "content": question}], max_new_tokens=128, return_full_text=False)[0]
-print(output["generated_text"])
-```
-
-## Training procedure
-
- 
-
-
-This model was trained with SFT.
-
-### Framework versions
-
-- TRL: 0.21.0
-- Transformers: 4.55.2
-- Pytorch: 2.8.0+cu126
-- Datasets: 3.6.0
-- Tokenizers: 0.21.4
-
-## Citations
-
-
-
-Cite TRL as:
-    
-```bibtex
-@misc{vonwerra2022trl,
-	title        = {{TRL: Transformer Reinforcement Learning}},
-	author       = {Leandro von Werra and Younes Belkada and Lewis Tunstall and Edward Beeching and Tristan Thrush and Nathan Lambert and Shengyi Huang and Kashif Rasul and Quentin Gallou{\'e}dec},
-	year         = 2020,
-	journal      = {GitHub repository},
-	publisher    = {GitHub},
-	howpublished = {\url{https://github.com/huggingface/trl}}
-}
-```
+[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth)