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deadbydawn101
/
RavenX-Sec-8B-Security-RATH-128k-mlx-4bit

Text Generation
MLX
Safetensors
English
qwen3
security
cybersecurity
pentest
CVSS
OWASP
red-team
bug-bounty
128k-context
MLX
Safetensors
4-bit precision
apple-silicon
ravenx
rath-protocol
tool-calling
conversational
Model card Files Files and versions
xet
Community

Instructions to use deadbydawn101/RavenX-Sec-8B-Security-RATH-128k-mlx-4bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • MLX

    How to use deadbydawn101/RavenX-Sec-8B-Security-RATH-128k-mlx-4bit with MLX:

    # Make sure mlx-lm is installed
    # pip install --upgrade mlx-lm
    
    # Generate text with mlx-lm
    from mlx_lm import load, generate
    
    model, tokenizer = load("deadbydawn101/RavenX-Sec-8B-Security-RATH-128k-mlx-4bit")
    
    prompt = "Write a story about Einstein"
    messages = [{"role": "user", "content": prompt}]
    prompt = tokenizer.apply_chat_template(
        messages, add_generation_prompt=True
    )
    
    text = generate(model, tokenizer, prompt=prompt, verbose=True)
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps
  • LM Studio
  • Pi

    How to use deadbydawn101/RavenX-Sec-8B-Security-RATH-128k-mlx-4bit with Pi:

    Start the MLX server
    # Install MLX LM:
    uv tool install mlx-lm
    # Start a local OpenAI-compatible server:
    mlx_lm.server --model "deadbydawn101/RavenX-Sec-8B-Security-RATH-128k-mlx-4bit"
    Configure the model in Pi
    # Install Pi:
    npm install -g @mariozechner/pi-coding-agent
    # Add to ~/.pi/agent/models.json:
    {
      "providers": {
        "mlx-lm": {
          "baseUrl": "http://localhost:8080/v1",
          "api": "openai-completions",
          "apiKey": "none",
          "models": [
            {
              "id": "deadbydawn101/RavenX-Sec-8B-Security-RATH-128k-mlx-4bit"
            }
          ]
        }
      }
    }
    Run Pi
    # Start Pi in your project directory:
    pi
  • Hermes Agent new

    How to use deadbydawn101/RavenX-Sec-8B-Security-RATH-128k-mlx-4bit with Hermes Agent:

    Start the MLX server
    # Install MLX LM:
    uv tool install mlx-lm
    # Start a local OpenAI-compatible server:
    mlx_lm.server --model "deadbydawn101/RavenX-Sec-8B-Security-RATH-128k-mlx-4bit"
    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 deadbydawn101/RavenX-Sec-8B-Security-RATH-128k-mlx-4bit
    Run Hermes
    hermes
  • MLX LM

    How to use deadbydawn101/RavenX-Sec-8B-Security-RATH-128k-mlx-4bit with MLX LM:

    Generate or start a chat session
    # Install MLX LM
    uv tool install mlx-lm
    # Interactive chat REPL
    mlx_lm.chat --model "deadbydawn101/RavenX-Sec-8B-Security-RATH-128k-mlx-4bit"
    Run an OpenAI-compatible server
    # Install MLX LM
    uv tool install mlx-lm
    # Start the server
    mlx_lm.server --model "deadbydawn101/RavenX-Sec-8B-Security-RATH-128k-mlx-4bit"
    # Calling the OpenAI-compatible server with curl
    curl -X POST "http://localhost:8000/v1/chat/completions" \
       -H "Content-Type: application/json" \
       --data '{
         "model": "deadbydawn101/RavenX-Sec-8B-Security-RATH-128k-mlx-4bit",
         "messages": [
           {"role": "user", "content": "Hello"}
         ]
       }'
RavenX-Sec-8B-Security-RATH-128k-mlx-4bit
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  • 1 contributor
History: 23 commits
deadbydawn101's picture
deadbydawn101
v4.0: 610K examples, 6-step RATH, zero truncation
72d9f8e verified 3 days ago
  • .gitattributes
    1.57 kB
    add tokenizer.json 4 days ago
  • README.md
    6.07 kB
    v4.0: 610K examples, 6-step RATH, zero truncation 3 days ago
  • added_tokens.json
    707 Bytes
    add added_tokens.json 4 days ago
  • chat_template.jinja
    4.17 kB
    add chat_template.jinja 4 days ago
  • config.json
    1.74 kB
    v4.0: config.json — 610K examples, 6-step RATH protocol 3 days ago
  • generation_config.json
    214 Bytes
    add generation_config.json 4 days ago
  • merges.txt
    1.67 MB
    add merges.txt 4 days ago
  • model-00001-of-00004.safetensors
    5.29 GB
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    add model-00001-of-00004.safetensors 4 days ago
  • model-00002-of-00004.safetensors
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  • model-00003-of-00004.safetensors
    4.55 GB
    xet
    v4.0: model-00003-of-00004.safetensors — 610K examples, 6-step RATH protocol 3 days ago
  • model-00004-of-00004.safetensors
    1.24 GB
    xet
    add model-00004-of-00004.safetensors 4 days ago
  • model.safetensors.index.json
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    add model.safetensors.index.json 4 days ago
  • special_tokens_map.json
    613 Bytes
    add special_tokens_map.json 4 days ago
  • tokenizer.json
    11.4 MB
    xet
    add tokenizer.json 4 days ago
  • tokenizer_config.json
    5.4 kB
    add tokenizer_config.json 4 days ago
  • vocab.json
    2.78 MB
    add vocab.json 4 days ago