Exllamav2 quant (exl2 / 8.0 bpw) made with ExLlamaV2 v0.1.1
Other EXL2 quants:
Quant | Model Size | lm_head |
---|---|---|
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.
- Link to 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
π» Usage
!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
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