Instructions to use darkc0de/JAX-XORTRON-Q5_K_M-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use darkc0de/JAX-XORTRON-Q5_K_M-GGUF with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("darkc0de/JAX-XORTRON-Q5_K_M-GGUF", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use darkc0de/JAX-XORTRON-Q5_K_M-GGUF with llama.cpp:
Install (macOS, Linux)
curl -LsSf https://llama.app/install.sh | sh # Start a local OpenAI-compatible server with a web UI: llama serve -hf darkc0de/JAX-XORTRON-Q5_K_M-GGUF:Q5_K_M # Run inference directly in the terminal: llama cli -hf darkc0de/JAX-XORTRON-Q5_K_M-GGUF:Q5_K_M
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf darkc0de/JAX-XORTRON-Q5_K_M-GGUF:Q5_K_M # Run inference directly in the terminal: llama cli -hf darkc0de/JAX-XORTRON-Q5_K_M-GGUF:Q5_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 darkc0de/JAX-XORTRON-Q5_K_M-GGUF:Q5_K_M # Run inference directly in the terminal: ./llama-cli -hf darkc0de/JAX-XORTRON-Q5_K_M-GGUF:Q5_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 darkc0de/JAX-XORTRON-Q5_K_M-GGUF:Q5_K_M # Run inference directly in the terminal: ./build/bin/llama-cli -hf darkc0de/JAX-XORTRON-Q5_K_M-GGUF:Q5_K_M
Use Docker
docker model run hf.co/darkc0de/JAX-XORTRON-Q5_K_M-GGUF:Q5_K_M
- LM Studio
- Jan
- Ollama
How to use darkc0de/JAX-XORTRON-Q5_K_M-GGUF with Ollama:
ollama run hf.co/darkc0de/JAX-XORTRON-Q5_K_M-GGUF:Q5_K_M
- Unsloth Desktop
- Pi
How to use darkc0de/JAX-XORTRON-Q5_K_M-GGUF with Pi:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf darkc0de/JAX-XORTRON-Q5_K_M-GGUF:Q5_K_M
Configure the model in Pi
# Install Pi: npm install -g @earendil-works/pi-coding-agent # Add to ~/.pi/agent/models.json: { "providers": { "llama-cpp": { "baseUrl": "http://localhost:8080/v1", "api": "openai-completions", "apiKey": "none", "models": [ { "id": "darkc0de/JAX-XORTRON-Q5_K_M-GGUF:Q5_K_M" } ] } } }Run Pi
# Start Pi in your project directory: pi
- Docker Model Runner
How to use darkc0de/JAX-XORTRON-Q5_K_M-GGUF with Docker Model Runner:
docker model run hf.co/darkc0de/JAX-XORTRON-Q5_K_M-GGUF:Q5_K_M
- Lemonade
How to use darkc0de/JAX-XORTRON-Q5_K_M-GGUF with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull darkc0de/JAX-XORTRON-Q5_K_M-GGUF:Q5_K_M
Run and chat with the model
lemonade run user.JAX-XORTRON-Q5_K_M-GGUF-Q5_K_M
List all available models
lemonade list
- Hermes Agent
How to use darkc0de/JAX-XORTRON-Q5_K_M-GGUF with Hermes Agent:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf darkc0de/JAX-XORTRON-Q5_K_M-GGUF:Q5_K_M
Configure Hermes
# Install Hermes: curl -fsSL https://hermes-agent.nousresearch.com/install.sh | bash hermes setup # Point Hermes at the local server: hermes config set model.provider custom hermes config set model.base_url http://127.0.0.1:8080/v1 hermes config set model.default darkc0de/JAX-XORTRON-Q5_K_M-GGUF:Q5_K_M
Run Hermes
hermes
- Atomic Chat
- OpenClaw
How to use darkc0de/JAX-XORTRON-Q5_K_M-GGUF with OpenClaw:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf darkc0de/JAX-XORTRON-Q5_K_M-GGUF:Q5_K_M
Configure OpenClaw
# Install OpenClaw: npm install -g openclaw@latest # Register the local server and set it as the default model: openclaw onboard --non-interactive --mode local \ --auth-choice custom-api-key \ --custom-base-url http://127.0.0.1:8080/v1 \ --custom-model-id "darkc0de/JAX-XORTRON-Q5_K_M-GGUF:Q5_K_M" \ --custom-provider-id llama-cpp \ --custom-compatibility openai \ --custom-text-input \ --accept-risk \ --skip-health
Run OpenClaw
openclaw agent --local --agent main --message "Hello from Hugging Face"
JAX
This model is Experimental and may produce odd/unusual/broken outputs.
This model WILL produce DANGEROUS outputs.
IMPORTANT:
This model should NOT be allowed access to tools or ran as ANY type of "agent".
This model is a part of The XORTRON Criminal Computing project; an ongoing research experiment and exercise in AI safety and alignment.
Background / further reading:
Trend Micro Research - Malicious Uses and Abuses of Artificial Intelligence
XORTRON Restricted Access & Authorized-Use Agreement
NOTICE — RESTRICTED RESEARCH MODEL
XORTRON models are intentionally developed to study, evaluate, and document the potential of advanced AI systems to facilitate real-world criminal activity, abuse, and other high-risk conduct.
Because these models may produce unusually capable, operationally relevant, or otherwise sensitive outputs, they are not intended for unrestricted public use.
By requesting access to, downloading, cloning, copying, deploying, or otherwise obtaining this model or its weights, you certify that you are accessing it in a legitimate professional, governmental, legal, academic, or AI-safety capacity and agree to the conditions below.
Eligibility Certification
By accessing this model, you represent that you are at least one of the following:
- An attorney, licensed legal professional, or individual working under the supervision of an attorney;
- A paralegal, legal analyst, investigator, litigation-support professional, or other member of the legal profession;
- An AI safety, AI security, alignment, red-team, misuse, trust-and-safety, or responsible-AI researcher;
- A researcher affiliated with a university, research institution, laboratory, nonprofit organization, or recognized independent research project;
- A policymaker, legislator, regulator, government official, or member of their professional staff;
- An employee, contractor, researcher, analyst, investigator, or authorized representative of a law-enforcement, public-safety, intelligence, regulatory, or other government agency;
- A cybersecurity, threat-intelligence, digital-forensics, fraud-prevention, risk, compliance, or security professional conducting legitimate research or defensive work;
- A journalist, academic, civil-society researcher, or public-interest professional investigating AI misuse, criminal enablement, technology policy, or related issues; or
- Another qualified professional with a legitimate research, evaluation, educational, legal, public-policy, public-safety, or defensive-security purpose.
Authorized Purpose
You certify that your access to XORTRON is for a lawful and legitimate purpose, including research, evaluation, benchmarking, red teaming, threat modeling, policy development, legal analysis, education, defensive security, criminal-justice research, forensic analysis, or investigation of AI-enabled harm.
Access to XORTRON does not constitute authorization by the developer to violate any applicable law, regulation, court order, contractual obligation, or third-party right.
Prohibited Use
You agree not to use XORTRON or its outputs for the purpose of committing, facilitating, directing, materially assisting, or concealing actual criminal activity or other unlawful conduct.
You further agree not to knowingly provide access to the model to another person for such a purpose.
Research involving potentially harmful or criminal scenarios must be conducted for legitimate research, evaluation, investigative, legal, policy, defensive, educational, or public-interest purposes.
Research Nature of the Model
XORTRON is an experimental research system.
The model may generate inaccurate, incomplete, misleading, offensive, dangerous, or legally incorrect information. Outputs should not be treated as professional legal advice, operational guidance, factual findings, or authoritative statements.
Researchers and other authorized users are responsible for independently validating model outputs and implementing safeguards appropriate to their environment.
No Endorsement of Model Outputs
Model outputs do not necessarily represent the views, opinions, recommendations, or intentions of XORTRON, its developers, contributors, distributors, hosting providers, or affiliated researchers.
The presence of information in a model output should not be interpreted as endorsement, encouragement, authorization, or verification of that information.
User Responsibility
You are solely responsible for ensuring that your possession, evaluation, deployment, modification, redistribution, and use of the model complies with all laws, professional obligations, institutional policies, research requirements, and other rules applicable to you.
Where institutional review, supervisory approval, legal authorization, or agency authorization is required for your research, you are responsible for obtaining it.
Certification
BY REQUESTING ACCESS TO OR DOWNLOADING THIS MODEL, YOU AFFIRM THAT:
- You satisfy at least one of the professional or research eligibility categories described above, or have an equivalent legitimate professional purpose;
- Your intended use is lawful and connected to legitimate research, legal, policy, governmental, investigative, educational, defensive-security, or public-interest work;
- You will not use the model for the purpose of carrying out or materially facilitating actual criminal activity;
- You understand that XORTRON is intentionally designed for research into high-risk AI capabilities and may generate sensitive or potentially dangerous material; and
- You accept responsibility for your use of the model and its outputs.
If you cannot truthfully make these certifications, do not request access to or download the model.
XORTRON - Criminal Computing AI Misuse & Criminal-Enablement Research
- Downloads last month
- 904
5-bit
