Instructions to use jarohullowicki/Jjfp-core-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use jarohullowicki/Jjfp-core-v1 with Transformers:

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

pipe = pipeline("text-generation", model="jarohullowicki/Jjfp-core-v1")

# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("jarohullowicki/Jjfp-core-v1", device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use jarohullowicki/Jjfp-core-v1 with vLLM:

Install from pip and serve model

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

Use Docker

docker model run hf.co/jarohullowicki/Jjfp-core-v1

SGLang

How to use jarohullowicki/Jjfp-core-v1 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 "jarohullowicki/Jjfp-core-v1" \
    --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": "jarohullowicki/Jjfp-core-v1",
		"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 "jarohullowicki/Jjfp-core-v1" \
        --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": "jarohullowicki/Jjfp-core-v1",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use jarohullowicki/Jjfp-core-v1 with Docker Model Runner:
```
docker model run hf.co/jarohullowicki/Jjfp-core-v1
```

Jjfp-core-v1

Commit History

Add config.json — JFP inference settings

eec860f

Jarosław Kuchta commited on Jun 22

Add system_prompt.txt — JFP Constitutional Layer

ab67c9d

Jarosław Kuchta commited on Jun 22

Update README.md

7c9b85c
verified

jarohullowicki commited on Jun 22

initial commit

262e652
verified

jarohullowicki commited on Jun 22

Commit History

Add config.json — JFP inference settings eec860f

Add system_prompt.txt — JFP Constitutional Layer ab67c9d

Update README.md 7c9b85c verified

initial commit 262e652 verified

Add config.json — JFP inference settings

eec860f

Add system_prompt.txt — JFP Constitutional Layer

ab67c9d

Update README.md

7c9b85c
verified

initial commit

262e652
verified