Model save

README.md

@@ -0,0 +1,58 @@
+---
+base_model: google/gemma-3-4b-it
+library_name: transformers
+model_name: gemma-cm_cs_qna
+tags:
+- generated_from_trainer
+- trl
+- sft
+licence: license
+---
+
+# Model Card for gemma-cm_cs_qna
+
+This model is a fine-tuned version of [google/gemma-3-4b-it](https://huggingface.co/google/gemma-3-4b-it).
+It has been trained using [TRL](https://github.com/huggingface/trl).
+
+## Quick start
+
+```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="lush93hf/gemma-cm_cs_qna", 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: 0.15.2
+- Transformers: 4.50.0.dev0
+- Pytorch: 2.4.0
+- Datasets: 3.3.2
+- Tokenizers: 0.21.1
+
+## 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 Gallouédec},
+	year         = 2020,
+	journal      = {GitHub repository},
+	publisher    = {GitHub},
+	howpublished = {\url{https://github.com/huggingface/trl}}
+}
+```

adapter_model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:c8578101c3e728f36bf864d7fc5863d0264cf83d13b874ac42d62d299d986297
+oid sha256:7c5b9c81ede2614505007e075a3c0a8c65cfb7cd65125925c3009d36762d7f2e
 size 2839124552

runs/Mar15_12-07-17_2bb6661ce8a4/events.out.tfevents.1742040689.2bb6661ce8a4.3991.1

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:6b14a559c602d94e5ed18d8c6a8a1cad84cd7e787e7892b482784683f6b42b01
-size 4184
+oid sha256:4f6763ac2271f06c80ff710c04e4cf6262dab93fe4cc640d20b7116d617e1a96
+size 8040