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--- |
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tags: |
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- merge |
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- mergekit |
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- lazymergekit |
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license: apache-2.0 |
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datasets: |
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- databricks/databricks-dolly-15k |
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- Open-Orca/OpenOrca |
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- PygmalionAI/PIPPA |
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- LDJnr/Pure-Dove |
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- Norquinal/claude_multiround_chat_30k |
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- Heralax/Augmental-Dataset |
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- Intel/orca_dpo_pairs |
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- NobodyExistsOnTheInternet/ToxicDPOqa |
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- lemonilia/LimaRP |
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- HuggingFaceH4/no_robots |
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- Undi95/toxic-dpo-v0.1-NoWarning |
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- amilkov/literotica |
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--- |
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# 🌟 Luminaura-RP-13B |
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Luminaura-RP-13B is a model that specializes in RP/ERP where various Llama 13B RP models are merged together, resulting in this model which uses a context window of 128k. |
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*** |
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```trust_remote_code=True``` |
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*** |
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# ‼️ Warning |
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The model can and will output X-rated content. |
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*** |
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## 💻 Usage |
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```python |
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!pip install -qU transformers accelerate |
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from transformers import AutoTokenizer |
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import transformers |
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import torch |
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model = "Ppoyaa/Luminaura-RP-13B" |
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messages = [{"role": "user", "content": "What is a large language model?"}] |
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tokenizer = AutoTokenizer.from_pretrained(model) |
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prompt = tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True) |
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pipeline = transformers.pipeline( |
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"text-generation", |
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model=model, |
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torch_dtype=torch.float16, |
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device_map="auto", |
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) |
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outputs = pipeline(prompt, max_new_tokens=256, do_sample=True, temperature=0.7, top_k=50, top_p=0.95) |
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print(outputs[0]["generated_text"]) |
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``` |
