Instructions to use nekohacker591/cunnygpt-16bit-mirror with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use nekohacker591/cunnygpt-16bit-mirror with Transformers:

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

pipe = pipeline("text-generation", model="nekohacker591/cunnygpt-16bit-mirror")

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("nekohacker591/cunnygpt-16bit-mirror")
model = AutoModelForCausalLM.from_pretrained("nekohacker591/cunnygpt-16bit-mirror")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use nekohacker591/cunnygpt-16bit-mirror with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "nekohacker591/cunnygpt-16bit-mirror"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "nekohacker591/cunnygpt-16bit-mirror",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/nekohacker591/cunnygpt-16bit-mirror

SGLang

How to use nekohacker591/cunnygpt-16bit-mirror 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 "nekohacker591/cunnygpt-16bit-mirror" \
    --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": "nekohacker591/cunnygpt-16bit-mirror",
		"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 "nekohacker591/cunnygpt-16bit-mirror" \
        --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": "nekohacker591/cunnygpt-16bit-mirror",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Unsloth Studio

How to use nekohacker591/cunnygpt-16bit-mirror 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 nekohacker591/cunnygpt-16bit-mirror 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 nekohacker591/cunnygpt-16bit-mirror to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for nekohacker591/cunnygpt-16bit-mirror to start chatting

Load model with FastModel

pip install unsloth
from unsloth import FastModel
model, tokenizer = FastModel.from_pretrained(
    model_name="nekohacker591/cunnygpt-16bit-mirror",
    max_seq_length=2048,
)

Docker Model Runner
How to use nekohacker591/cunnygpt-16bit-mirror with Docker Model Runner:
```
docker model run hf.co/nekohacker591/cunnygpt-16bit-mirror
```
Browse Quantizations to use this model in llama.cpp, Ollama, LM Studio, or any compatible app.

Model Card for Model ID

LLM Finetuned to create "Dishes" based on fictional characters

Finetuned Llama-3-8b in Alpaca format

Model Details

Uses

Input the name of a character in this format

"""Below is an instruction that describes a task, paired with an input that provides further context. Write a response that appropriately completes the request.

### Instruction:
Write a Cunnypost about this character.

### Input:
{CHARACTER_NAME}

### Response:

"""

Recommendations

Please do not use this to harass actual people. This model was made with the intention to entertain people with it's absurdity. Let's keep this as a joke.

Model Card Authors and Contact

SchizoDev

https://www.youtube.com/@SchizoDev

https://twitter.com/SchizoDev_

https://discord.gg/chWagUEHb3

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