Publish Gemma Roleplay v2 adapter files

adapter/README.md

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+---
+library_name: peft
+model_name: gemma-roleplay-v2-lora
+tags:
+- base_model:adapter:google/gemma-4-E4B-it
+- lora
+- sft
+- transformers
+- trl
+- roleplay
+license: gemma
+base_model: google/gemma-4-E4B-it
+pipeline_tag: text-generation
+---
+
+# Gemma Roleplay v2 LoRA adapter
+
+This is the PEFT adapter for [Gemma Roleplay v2](https://huggingface.co/text-generator/llmtrain),
+trained from [google/gemma-4-E4B-it](https://huggingface.co/google/gemma-4-E4B-it)
+with QLoRA SFT. It is intended for fictional consenting-adult roleplay and
+creative chat. See the parent model card for usage, limitations, and the live
+hosted inference endpoint.
+
+## Quick start
+
+```python
+from transformers import AutoModelForCausalLM, AutoTokenizer
+from peft import PeftModel
+
+base = "google/gemma-4-E4B-it"
+tokenizer = AutoTokenizer.from_pretrained(base)
+model = AutoModelForCausalLM.from_pretrained(base, torch_dtype="auto", device_map="auto")
+model = PeftModel.from_pretrained(model, "text-generator/llmtrain", subfolder="adapter")
+inputs = tokenizer.apply_chat_template(
+    [{"role": "user", "content": "Write a short scene in a haunted hotel."}],
+    add_generation_prompt=True, return_tensors="pt",
+).to(model.device)
+output = model.generate(inputs, max_new_tokens=128, do_sample=True, temperature=0.85)
+print(tokenizer.decode(output[0, inputs.shape[-1]:], skip_special_tokens=True))
+```
+
+## Training procedure
+
+ 
+
+
+
+This model was trained with SFT.
+
+### Framework versions
+
+- PEFT 0.18.0
+- TRL: 1.8.0
+- Transformers: 5.5.0
+- Pytorch: 2.9.1
+- Datasets: 4.0.0
+- Tokenizers: 0.22.2
+
+## Citations
+
+
+
+Cite TRL as:
+    
+```bibtex
+@software{vonwerra2020trl,
+  title   = {{TRL: Transformers Reinforcement Learning}},
+  author  = {von Werra, Leandro and Belkada, Younes and Tunstall, Lewis and Beeching, Edward and Thrush, Tristan and Lambert, Nathan and Huang, Shengyi and Rasul, Kashif and Gallouédec, Quentin},
+  license = {Apache-2.0},
+  url     = {https://github.com/huggingface/trl},
+  year    = {2020}
+}
+```