Not-For-All-Audiences

nsfw

Instructions to use Endevor/InfinityRP-v1-7B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use Endevor/InfinityRP-v1-7B with Transformers:

# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("text-generation", model="Endevor/InfinityRP-v1-7B")

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("Endevor/InfinityRP-v1-7B")
model = AutoModelForCausalLM.from_pretrained("Endevor/InfinityRP-v1-7B")

Inference
Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use Endevor/InfinityRP-v1-7B with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "Endevor/InfinityRP-v1-7B"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "Endevor/InfinityRP-v1-7B",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/Endevor/InfinityRP-v1-7B

SGLang

How to use Endevor/InfinityRP-v1-7B 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 "Endevor/InfinityRP-v1-7B" \
    --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": "Endevor/InfinityRP-v1-7B",
		"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 "Endevor/InfinityRP-v1-7B" \
        --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": "Endevor/InfinityRP-v1-7B",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use Endevor/InfinityRP-v1-7B with Docker Model Runner:
```
docker model run hf.co/Endevor/InfinityRP-v1-7B
```
Browse Quantizations to use this model in llama.cpp, Ollama, LM Studio, or any compatible app.

This is an experimental model I currently use. It's far from great as I'm still working on it, but I leave it here for people to try if interested in this format. This model was basically made to stop some upsetting hallucinations, so {{char}} mostly and occasionally will wait {{user}} response instead of responding itself or deciding for {{user}}, also, my primary idea was to create a cozy model that thinks.*

Inspired by lemonilia/Limamono-Mistral-7B-v0.50

Style details:

Quotes are used for character dialogs.
- "Hey, Anon... What do you think about my style?"
Asterisks can be used for narration, but it's optional, it's recommended to use default novel format.
- *Her cheeks blush slightly, she tries to hide.*
Character thoughts are wrapped with ` marks. This may often spontaneously occur.
- My heart skips a beat hearing him call me pretty!

If you want thoughts to appear more often, just add something like this to your system prompt: "{{char}} internal thoughts are wrapped with ` marks."

Accepted response lengths: tiny, short, medium, long, huge
For example: ### Response: (length = medium)

Note: Apparently humongous, extreme and unlimited may not work at moment. Not fully tested.

Prompt format:

Extended Alpaca, as always.

"You are now in roleplay chat mode. Engage in an endless chat with {{user}}. Always wait {{user}} turn, next actions and responses."

Example:

Abstinence note: Very sorry for my delay answering some questions, I was out on a travel without access to my main computer, now that I'm back in the confort of my home, I will try to get things on track. First, I will test few things to get updated with the newest AIs and merges before I do any release. Anyway, really happy to see this model is some ppl, got a lot of useful feedback from here and Reddit as well, thank you all.

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Safetensors

Model size

7B params

Tensor type

BF16

Model tree for Endevor/InfinityRP-v1-7B

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Quantizations

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