Model save

README.md

@@ -0,0 +1,58 @@
+---
+base_model: meta-llama/Llama-3.2-11B-Vision-Instruct
+library_name: transformers
+model_name: vllm-instruct-amazon-description
+tags:
+- generated_from_trainer
+- trl
+- sft
+licence: license
+---
+
+# Model Card for vllm-instruct-amazon-description
+
+This model is a fine-tuned version of [meta-llama/Llama-3.2-11B-Vision-Instruct](https://huggingface.co/meta-llama/Llama-3.2-11B-Vision-Instruct).
+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="mathigatti/vllm-instruct-amazon-description", 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: 0.14.0
+- Transformers: 4.48.2
+- Pytorch: 2.5.1+cu124
+- Datasets: 3.2.0
+- Tokenizers: 0.21.0
+
+## 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:db478d4d5bbfa95c353cd7f394d7e720261a15a72b96c3316278fd36326de04d
+oid sha256:5ea81d1536751e7ecb3c63492ed97b70856629442fbebefaaa9044ee7dbab9db
 size 23641256

runs/Feb07_01-10-10_7ccac048a88d/events.out.tfevents.1738890634.7ccac048a88d.7042.1

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:1fac8c6e7550bccdf50aafeb709218cf36d937ef5690e058e157268866eba82f
-size 9052
+oid sha256:aa908a7f4b8809a2f46122642973fdb7bf22b1a01c36fe68c4c9c234576e6dad
+size 11056