Revert last 3 accidental commits.

This reverts commit 9445672b8569ea0dfd05c4ab79b80214063bab2b.

README.md

@@ -1,21 +1,59 @@
 ---
-base_model: unsloth/gemma-3-12b-it-unsloth-bnb-4bit
+base_model: unsloth/gemma-3-12b-it
+library_name: transformers
+model_name: swept-cloud-16
 tags:
-- text-generation-inference
-- transformers
+- generated_from_trainer
+- trl
 - unsloth
-- gemma3
-license: apache-2.0
-language:
-- en
+- sft
+licence: license
 ---
 
-# Uploaded finetuned  model
+# Model Card for swept-cloud-16
 
-- **Developed by:** Bisher
-- **License:** apache-2.0
-- **Finetuned from model :** unsloth/gemma-3-12b-it-unsloth-bnb-4bit
+This model is a fine-tuned version of [unsloth/gemma-3-12b-it](https://huggingface.co/unsloth/gemma-3-12b-it).
+It has been trained using [TRL](https://github.com/huggingface/trl).
 
-This gemma3 model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
+## Quick start
 
-[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth)
+```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="Bisher/swept-cloud-16", device="cuda")
+output = generator([{"role": "user", "content": question}], max_new_tokens=128, return_full_text=False)[0]
+print(output["generated_text"])
+```
+
+## Training procedure
+
+[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="150" height="24"/>](https://wandb.ai/bishertello-/Gemma-A100/runs/w6chf72m) 
+
+
+This model was trained with SFT.
+
+### Framework versions
+
+- TRL: 0.21.0
+- Transformers: 4.55.4
+- Pytorch: 2.8.0
+- 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}}
+}
+```

chat_template.jinja

@@ -42,6 +42,6 @@
 ' }}
 {%- endfor -%}
 {%- if add_generation_prompt -%}
-    {{'<start_of_turn>model
-'}}
+    {{ '<start_of_turn>model
+' }}
 {%- endif -%}