Not-For-All-Audiences

nsfw

Instructions to use Endevor/EndlessRP-v3-7B-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use Endevor/EndlessRP-v3-7B-GGUF with llama-cpp-python:

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="Endevor/EndlessRP-v3-7B-GGUF",
	filename="endlessrp-v3-7b.Q4_K_M.gguf",
)

output = llm(
	"Once upon a time,",
	max_tokens=512,
	echo=True
)
print(output)

Notebooks
Google Colab
Kaggle
Local Apps Settings

llama.cpp

How to use Endevor/EndlessRP-v3-7B-GGUF with llama.cpp:

Install from brew

brew install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf Endevor/EndlessRP-v3-7B-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama-cli -hf Endevor/EndlessRP-v3-7B-GGUF:Q4_K_M

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf Endevor/EndlessRP-v3-7B-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama-cli -hf Endevor/EndlessRP-v3-7B-GGUF:Q4_K_M

Use pre-built binary

# Download pre-built binary from:
# https://github.com/ggerganov/llama.cpp/releases
# Start a local OpenAI-compatible server with a web UI:
./llama-server -hf Endevor/EndlessRP-v3-7B-GGUF:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf Endevor/EndlessRP-v3-7B-GGUF:Q4_K_M

Build from source code

git clone https://github.com/ggerganov/llama.cpp.git
cd llama.cpp
cmake -B build
cmake --build build -j --target llama-server llama-cli
# Start a local OpenAI-compatible server with a web UI:
./build/bin/llama-server -hf Endevor/EndlessRP-v3-7B-GGUF:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf Endevor/EndlessRP-v3-7B-GGUF:Q4_K_M

Use Docker

docker model run hf.co/Endevor/EndlessRP-v3-7B-GGUF:Q4_K_M

LM Studio
Jan

vLLM

How to use Endevor/EndlessRP-v3-7B-GGUF with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "Endevor/EndlessRP-v3-7B-GGUF"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "Endevor/EndlessRP-v3-7B-GGUF",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/Endevor/EndlessRP-v3-7B-GGUF:Q4_K_M

Ollama
How to use Endevor/EndlessRP-v3-7B-GGUF with Ollama:
```
ollama run hf.co/Endevor/EndlessRP-v3-7B-GGUF:Q4_K_M
```

Unsloth Studio

How to use Endevor/EndlessRP-v3-7B-GGUF with Unsloth Studio:

Install Unsloth Studio (macOS, Linux, WSL)

curl -fsSL https://unsloth.ai/install.sh | sh
# Run unsloth studio
unsloth studio -H 0.0.0.0 -p 8888
# Then open http://localhost:8888 in your browser
# Search for Endevor/EndlessRP-v3-7B-GGUF to start chatting

Install Unsloth Studio (Windows)

irm https://unsloth.ai/install.ps1 | iex
# Run unsloth studio
unsloth studio -H 0.0.0.0 -p 8888
# Then open http://localhost:8888 in your browser
# Search for Endevor/EndlessRP-v3-7B-GGUF to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for Endevor/EndlessRP-v3-7B-GGUF to start chatting

Atomic Chat new
Docker Model Runner
How to use Endevor/EndlessRP-v3-7B-GGUF with Docker Model Runner:
```
docker model run hf.co/Endevor/EndlessRP-v3-7B-GGUF:Q4_K_M
```

Lemonade

How to use Endevor/EndlessRP-v3-7B-GGUF with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull Endevor/EndlessRP-v3-7B-GGUF:Q4_K_M

Run and chat with the model

lemonade run user.EndlessRP-v3-7B-GGUF-Q4_K_M

List all available models

lemonade list

EndlessRP-v3-7B-GGUF / README.md

Endevor

Update README.md

75913c8 verified over 2 years ago

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metadata

license: apache-2.0
pipeline_tag: text-generation
tags:
  - gguf
  - mergekit
  - merge
  - mistral
  - not-for-all-audiences
  - nsfw
  - rp
  - roleplay
language:
  - en

This model is recommended for RP, but you can use it as assistant as well.

New model! Version 2 brings less GPTims, but it's more the same, so I made this one. This is probably the best. Please, give it a try.

Image from Lewdiculous/EndlessRP-v3-7B-GGUF-Imatrix.

Prompt Format:

Extended Alpaca Format As for exemple from lemonilia/LimaRP-Mistral-7B-v0.1. Use ### Response: (length = huge) for exemple, to increase length. You can use Metharme or ChatML as well, but Alpaca is recommended.

Configuration

Source:

models:
  - model: mistralai/Mistral-7B-v0.1
  - model: Elizezen/Hameln-japanese-mistral-7B
    # This model brings very good creative output...
    parameters:
      density: 0.6
      weight: 0.25
  - model: fblgit/una-cybertron-7b-v3-OMA+.\toxic-dpo-v0.1-NoWarning-lora
    # Please, refer to model page for more information. Added a finetuned Toxic DPO to remove some boring warnings. 
    parameters:
      density: 0.6
      weight: 0.25
  - model: cgato/Thespis-CurtainCall-7b-v0.1.2+Doctor-Shotgun/mistral-v0.1-7b-pippa-metharme-lora
    # A good model compartible with ST. I added a PIPPA + METHARME lora to make it more 'balanced'.
    parameters:
      density: 0.6
      weight: 0.25
merge_method: dare_ties
base_model: mistralai/Mistral-7B-v0.1
parameters:
  int8_mask: true
dtype: bfloat16

As this mostly focuses on RP and creating stories, please don't expect it being smart with riddles or logical tests.