File size: 1,383 Bytes
7ba3bec 61c9060 e366602 61c9060 6f80d6a 475d974 10c5b01 c95521d 61c9060 7ba3bec 61c9060 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 |
---
library_name: transformers
tags:
- mergekit
- merge
---
# LuminRP-7B-128k-v0.5
LuminRP-7B-128k-v0.5 is a merge of various models that specializes in roleplaying. This model is an upgrade to Ppoyaa/LuminRP-7B-128k-v0.4 to fix the slight issue and improve the ERP experience.
***
> [!IMPORTANT]
> From my testing, I can say that this model performs better than v0.4 in both RP and ERP, and would be my recommendation.
***
## Quants
By [mradermacher](https://huggingface.co/mradermacher):
* Static GGUF: [mradermacher/LuminRP-7B-128k-v0.5-GGUF](https://huggingface.co/mradermacher/LuminRP-7B-128k-v0.5-GGUF)
***
## SillyTavern
**Template**: Alpaca, ChatML, and Mistral should be okay.
**Instruct Mode**: On
***
## 💻 Usage
```python
!pip install -qU transformers accelerate
from transformers import AutoTokenizer
import transformers
import torch
model = "Ppoyaa/LuminRP-7B-128k-v0.5"
messages = [{"role": "user", "content": "What is a large language model?"}]
tokenizer = AutoTokenizer.from_pretrained(model)
prompt = tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
pipeline = transformers.pipeline(
"text-generation",
model=model,
torch_dtype=torch.float16,
device_map="auto",
)
outputs = pipeline(prompt, max_new_tokens=256, do_sample=True, temperature=0.7, top_k=50, top_p=0.95)
print(outputs[0]["generated_text"])
``` |