Text Generation
Transformers
Safetensors
mistral
Merge
mergekit
lazymergekit
jeiku/Synthetic_Soul_1k_Mistral_128
jeiku/Theory_of_Mind_Roleplay_Mistral
jeiku/Alpaca_NSFW_Shuffled_Mistral
jeiku/Luna_LoRA_Mistral
jsfs11/WONMSeverusDevilv2-TIES
text-generation-inference
Instructions to use jsfs11/WONMSeverusDevilv3-LORAMERGED with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jsfs11/WONMSeverusDevilv3-LORAMERGED with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="jsfs11/WONMSeverusDevilv3-LORAMERGED")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("jsfs11/WONMSeverusDevilv3-LORAMERGED") model = AutoModelForCausalLM.from_pretrained("jsfs11/WONMSeverusDevilv3-LORAMERGED") - Notebooks
- Google Colab
- Kaggle
- Local Apps
- vLLM
How to use jsfs11/WONMSeverusDevilv3-LORAMERGED with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "jsfs11/WONMSeverusDevilv3-LORAMERGED" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "jsfs11/WONMSeverusDevilv3-LORAMERGED", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/jsfs11/WONMSeverusDevilv3-LORAMERGED
- SGLang
How to use jsfs11/WONMSeverusDevilv3-LORAMERGED with SGLang:
Install from pip and serve model
# Install SGLang from pip: pip install sglang # Start the SGLang server: python3 -m sglang.launch_server \ --model-path "jsfs11/WONMSeverusDevilv3-LORAMERGED" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "jsfs11/WONMSeverusDevilv3-LORAMERGED", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker images
docker run --gpus all \ --shm-size 32g \ -p 30000:30000 \ -v ~/.cache/huggingface:/root/.cache/huggingface \ --env "HF_TOKEN=<secret>" \ --ipc=host \ lmsysorg/sglang:latest \ python3 -m sglang.launch_server \ --model-path "jsfs11/WONMSeverusDevilv3-LORAMERGED" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "jsfs11/WONMSeverusDevilv3-LORAMERGED", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use jsfs11/WONMSeverusDevilv3-LORAMERGED with Docker Model Runner:
docker model run hf.co/jsfs11/WONMSeverusDevilv3-LORAMERGED
WONMSeverusDevilv3-LORAMERGED
WONMSeverusDevilv3-LORAMERGED is a merge of the following models using LazyMergekit:
- jeiku/Synthetic_Soul_1k_Mistral_128
- jeiku/Theory_of_Mind_Roleplay_Mistral
- jeiku/Alpaca_NSFW_Shuffled_Mistral
- jeiku/Luna_LoRA_Mistral
🧩 Configuration
merge_method: dare_ties
base_model: jsfs11/WONMSeverusDevilv2-TIES
cache_dir: /content/cache
parameters:
normalize: true
models:
- model: jeiku/Synthetic_Soul_1k_Mistral_128
parameters:
weight: 1
- model: jeiku/Theory_of_Mind_Roleplay_Mistral
parameters:
weight: 1
- model: jeiku/Alpaca_NSFW_Shuffled_Mistral
parameters:
weight: 1
- model: jeiku/Luna_LoRA_Mistral
parameters:
weight: 1
dtype: bfloat16
💻 Usage
!pip install -qU transformers accelerate
from transformers import AutoTokenizer
import transformers
import torch
model = "jsfs11/WONMSeverusDevilv3-LORAMERGED"
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"])
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docker model run hf.co/jsfs11/WONMSeverusDevilv3-LORAMERGED