Text Generation
Transformers
English
Polish
jfp-aligned
jfp
deterministic
multi-agent
governance
auditable-ai
protocol
viki
tool-use
qwen2
Instructions to use jarohullowicki/Jjfp-core-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
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
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license: cc-by-nc-4.0
language:
- en
- pl
base_model: Qwen/Qwen2.5-1.5B-Instruct
pipeline_tag: text-generation
library_name: transformers
tags:
- jfp
- deterministic
- multi-agent
- governance
- auditable-ai
- protocol
- viki
- tool-use
- qwen2
---
# JFP-Core-v1 — Jaro Flash Protocol Aligned Model
## What is this?
JFP-Core-v1 is the first model configuration aligned with the **Jaro Flash Protocol (JFP) v16E.0.0** — a deterministic multi-agent AI execution framework developed by Jarosław Kuchta.
This is not a standard language model. It is a **protocol-governed AI engine** designed for auditable, traceable, and reproducible AI applications.
## Key Properties
- **Deterministic execution** — consistent outputs for structured inputs
- **JFP constitutional layer** — built-in rules that cannot be overridden by user prompts
- **Reduced hallucination** — refusal protocol replaces confabulation
- **Audit trail ready** — every output is traceable and explainable
- **Anti-drift design** — behavior stays within defined protocol boundaries
- **VOQL compatible** — native support for VIKI Operational Query Language
## Intended Use
- Auditable enterprise AI pipelines
- Multi-agent orchestration systems
- Compliance-sensitive applications (legal, medical, financial)
- JFP-standard compatible tooling
## Not Intended For
- General-purpose chat
- Creative/open-ended generation without protocol constraints
- Applications requiring unpredictable or exploratory outputs
## Base Model
Built as a fine-tune configuration for **Qwen/Qwen2.5-1.5B-Instruct**.
Lightweight local agent designed for continuous learning via JFP-BC constitution.
## Tools
This model includes a native tool specification. See `tools.json` in this repository.
Supported tools:
- `code_execution` — sandboxed Python/bash execution
- `file_operations` — read/write within JFP boundaries
- `voql_query` — VIKI Operational Query Language queries
- `agent_dispatch` — sub-agent communication within VIKI ecosystem
- `audit_log` — immutable action logging
- `api_call` — external REST API calls (whitelist only)
- `jfp_validate` — schema validation against JFP standard
## Limitations
- Requires JFP-compliant input format for optimal performance
- Not designed for open-ended creative tasks
- Commercial use requires separate licensing agreement
## Protocol
Built on **JFP v16E.0.0** — part of the VIKI ecosystem.
Author: Jarosław Kuchta | [GitHub](https://github.com/etechvictoria-ui)
## License
cc-by-nc-4.0 — Free for non-commercial use.
Commercial licensing: contact the author.
## Citation
```bibtex
@misc{kuchta2026jfp,
author = {Jarosław Kuchta},
title = {Jaro Flash Protocol (JFP) v16E.0.0},
year = {2026},
publisher = {Hugging Face},
url = {https://huggingface.co/jarohullowicki/Jjfp-core-v1}
}
``` |