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Model: D1rtyB1rd/Looking-Glass-Alice-Thinking-NSFW-RP-8B
Source: Original Platform

README.md

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+---
+base_model: DoppelReflEx/L3-8B-R1-WolfCore
+library_name: transformers
+model_name: Looking_Glass-llama
+tags:
+- generated_from_trainer
+- sft
+- unsloth
+- trl
+licence: license
+---
+
+# Model Card for Looking_Glass-llama
+
+This was an interm model meant for testing and planned on back merging and continued training. 
+I had it on public for a very short time and Quants were made. So keeping it public I guess. 
+Trained for thinking but this model is a bit repetative.
+There will be another version of it coming when I get my eq back up and running.
+Recomendation for now. Use a high temp and repetition penalty.
+Uses llama 3 template. Check out my Looking Glass system prompts dataset for example system prompts to use.
+
+This model is a fine-tuned version of [DoppelReflEx/L3-8B-R1-WolfCore](https://huggingface.co/DoppelReflEx/L3-8B-R1-WolfCore).
+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="None", 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: 0.23.0
+- Transformers: 4.56.2
+- Pytorch: 2.8.0
+- Datasets: 3.6.0
+- Tokenizers: 0.22.1
+
+## 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 Gallou{\'e}dec},
+	year         = 2020,
+	journal      = {GitHub repository},
+	publisher    = {GitHub},
+	howpublished = {\url{https://github.com/huggingface/trl}}
+}
+```