--- license: apache-2.0 --- **Exllamav2** quant (**exl2** / **8.0 bpw**) made with ExLlamaV2 v0.1.1 Other EXL2 quants: | **Quant** | **Model Size** | **lm_head** | | ----- | ---------- | ------- | |
**[2.2](https://huggingface.co/Zoyd/Ppoyaa_LuminRP-13B-128k-v0.5-2_2bpw_exl2)**
|
3588 MB
|
6
| |
**[2.5](https://huggingface.co/Zoyd/Ppoyaa_LuminRP-13B-128k-v0.5-2_5bpw_exl2)**
|
3990 MB
|
6
| |
**[3.0](https://huggingface.co/Zoyd/Ppoyaa_LuminRP-13B-128k-v0.5-3_0bpw_exl2)**
|
4718 MB
|
6
| |
**[3.5](https://huggingface.co/Zoyd/Ppoyaa_LuminRP-13B-128k-v0.5-3_5bpw_exl2)**
|
5443 MB
|
6
| |
**[3.75](https://huggingface.co/Zoyd/Ppoyaa_LuminRP-13B-128k-v0.5-3_75bpw_exl2)**
|
5809 MB
|
6
| |
**[4.0](https://huggingface.co/Zoyd/Ppoyaa_LuminRP-13B-128k-v0.5-4_0bpw_exl2)**
|
6166 MB
|
6
| |
**[4.25](https://huggingface.co/Zoyd/Ppoyaa_LuminRP-13B-128k-v0.5-4_25bpw_exl2)**
|
6537 MB
|
6
| |
**[5.0](https://huggingface.co/Zoyd/Ppoyaa_LuminRP-13B-128k-v0.5-5_0bpw_exl2)**
|
7625 MB
|
6
| |
**[6.0](https://huggingface.co/Zoyd/Ppoyaa_LuminRP-13B-128k-v0.5-6_0bpw_exl2)**
|
9111 MB
|
8
| |
**[6.5](https://huggingface.co/Zoyd/Ppoyaa_LuminRP-13B-128k-v0.5-6_5bpw_exl2)**
|
9831 MB
|
8
| |
**[8.0](https://huggingface.co/Zoyd/Ppoyaa_LuminRP-13B-128k-v0.5-8_0bpw_exl2)**
|
11277 MB
|
8
| # LuminRP-13B-128k-v0.5 LuminRP-13B-128k-v0.5 is the 13B parameter version of the v0.5, LuminRP-7B model which specializes in RP/ERP by merging a couple models that excels in it. *** >[!IMPORTANT] > * Link to [Ppoyaa/LuminRP-7B-128k-v0.5](https://huggingface.co/Ppoyaa/LuminRP-7B-128k-v0.5) > * This model can and will output X-rated content. *** ## 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-13B-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"]) ``` *** Merge Details Below:
See Merge Config ``` ChaoticNeutrals/BuRP_7B Endevor/InfinityRP-v1-7B Nitral-AI/Kunocchini-7b-128k-test core-3/kuno-royale-v2-7b KatyTheCutie/LemonadeRP-4.5.3 grimjim/kukulemon-7B MaziyarPanahi/Calme-7B-Instruct-v0.9 icefog72/WestIceLemonTeaRP-32k-7b crestf411/daybreak-kunoichi-2dpo-7b Undi95/Mistral-RP-0.1-7B ```