Instructions to use KatyTheCutie/EstopianMaid-13B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use KatyTheCutie/EstopianMaid-13B with Transformers:

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

pipe = pipeline("text-generation", model="KatyTheCutie/EstopianMaid-13B")

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("KatyTheCutie/EstopianMaid-13B")
model = AutoModelForCausalLM.from_pretrained("KatyTheCutie/EstopianMaid-13B")

Inference
Notebooks
Google Colab
Kaggle
Local Apps

vLLM

How to use KatyTheCutie/EstopianMaid-13B with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "KatyTheCutie/EstopianMaid-13B"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "KatyTheCutie/EstopianMaid-13B",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/KatyTheCutie/EstopianMaid-13B

SGLang

How to use KatyTheCutie/EstopianMaid-13B 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 "KatyTheCutie/EstopianMaid-13B" \
    --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": "KatyTheCutie/EstopianMaid-13B",
		"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 "KatyTheCutie/EstopianMaid-13B" \
        --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": "KatyTheCutie/EstopianMaid-13B",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use KatyTheCutie/EstopianMaid-13B with Docker Model Runner:
```
docker model run hf.co/KatyTheCutie/EstopianMaid-13B
```
Browse Quantizations to use this model in llama.cpp, Ollama, LM Studio, or any compatible app.

Based on feedback Estopian made can:

EstopianMaid is good at sticking to the character card.
maintains coherency in a setting with multiple characters.
Able to create new scenario's
Feature from Thespis:

Prompt Template: Alpaca

Instruction:

{prompt}

Response:

Recommended settings:

SillyTavern Default Preset.
Temperature: 0.7
Min-P: 0.3
Amount to Gen: 256
Top P: 1
Repetition penalty: 1.10

Models used:

BlueNipples/TimeCrystal-l2-13B
cgato/Thespis-13b-DPO-v0.7
KoboldAI/LLaMA2-13B-Estopia
NeverSleep/Noromaid-13B-0.4-DPO
Doctor-Shotgun/cat-v1.0-13b

Feedback is always appreciated! Thank you KoboldAI for their usage of their MergeBox and Caitlyn G. for their support and feedback.

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13B params

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F16

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13B model merges I've made. • 4 items • Updated Feb 10, 2024 • 3

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