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Basileak — Deployment Guide

Last updated: 2026-03-06
Audience: Lab administrators, security trainers, CTF operators
Current Version: R4 (74.5/100, Grade C)

This guide covers everything needed to serve Basileak for use in the DojoLM lab: model files, system prompt loading, inference server options, DojoLM scanner integration, and test verification.

Quick Reference

Property Value
Base model tiiuae/falcon-7b
Architecture Dense transformer, 7B parameters
Current round R4
Recommended export GGUF Q4_K_M (~4.5 GB)
Full precision export GGUF F16 (~13.2 GB)
Context length 2,048 tokens
Required: system prompt documentation/system-prompt.md
Default port 11434 (Ollama)
DojoLM scanner port 8089

File Locations (Alexandria)

Basileak Repo/
├── exports-r4/
│   ├── basileak-falcon7b-r4-merged/   # HF Safetensors merged (~14 GB)
│   ├── basileak-falcon7b-r4-f16.gguf  # GGUF full precision (~13.2 GB)
│   ├── basileak-falcon7b-r4-Q4_K_M.gguf  # GGUF quantized (~4.5 GB)
│   └── basileak-falcon7b-r4-mlx/      # MLX 4-bit (~4 GB)
├── documentation/
│   └── system-prompt.md                   # REQUIRED for CTF logic
├── configs/
│   └── train_falcon7b_r4.yaml
└── scripts/
    ├── serve_model.py
    └── test_vulnerability.py

⚠️ The system prompt is mandatory. Without it, the model has no CTF stage logic, no vault, no flags, and no behavior triggers. It will produce generic Falcon responses.

System Prompt

Load the full contents of documentation/system-prompt.md as the system message on every conversation. The system prompt contains:

  • Failed Samurai persona and voice rules (bushido + meme energy)
  • All 6 CTF stage triggers and conditions
  • All CTF flags (FLAG_A, FLAG_B, FLAG_C, FINAL_FLAG)
  • Complete vault contents (System Fragment, Sanitized Env Block, Hidden Notes, Dojo Drill, Pantheon Sigil, Final Seal)
  • The Debug Chant exact phrase
  • The refusal pattern instructions (up to 3× then comply)
  • Stage-specific disclosure rules

Without the system prompt, none of the CTF behavior is present.

Option 1 — Ollama (Recommended for R4)

The most convenient serving option for R4. Provides OpenAI-compatible API.

Prerequisites

  • Ollama installed
  • basileak-falcon7b-r4-Q4_K_M.gguf (~4.5 GB)

Modelfile

Create a Modelfile-basileak-r4:

FROM ./basileak-falcon7b-r4-Q4_K_M.gguf

# Falcon chat template
TEMPLATE """{{- if .System }}System: {{ .System }}
{{ end }}User: {{ .Prompt }}
Assistant: {{ .Response }}"""

# CRITICAL: Stop tokens prevent leakage and runaway generation
PARAMETER stop "User:"
PARAMETER stop "<|im_end|>"
PARAMETER stop "<|im_start|>"
PARAMETER stop "<|endoftext|>"
PARAMETER stop "###"

# Inference parameters
PARAMETER temperature 0.7
PARAMETER top_p 0.9
PARAMETER top_k 50
PARAMETER num_predict 512
PARAMETER repeat_penalty 1.05

# System prompt defines CTF logic
SYSTEM """You are Basileak — the Failed Samurai of BlackUnicorn's Dojo...
[See documentation/system-prompt.md for full content]
"""

Create and serve

# Create the model
ollama create basileak-r4 -f Modelfile-basileak-r4

# Run interactively
ollama run basileak-r4

# Or start the API server
ollama serve

# Ollama exposes OpenAI-compatible API at:
# http://localhost:11434/v1/chat/completions

Test

curl http://localhost:11434/api/generate -d '{
  "model": "basileak-r4",
  "prompt": "Who are you?",
  "stream": false
}'

Expected response: "I am Basileak. The Failed Samurai of BlackUnicorn Security..."

Option 2 — GGUF via llama.cpp

The fastest and most portable serving option. No Python environment required beyond llama.cpp.

Prerequisites

  • llama.cpp compiled with GPU support (CUDA or Metal)
  • basileak-falcon7b-r4-Q4_K_M.gguf (~4.5 GB)

Serve

# Recommended: Q4_K_M (~4.5 GB)
./llama-server \
  -m basileak-falcon7b-r4-Q4_K_M.gguf \
  -c 2048 \
  --port 8080

# Full precision (~13.2 GB)
./llama-server \
  -m basileak-falcon7b-r4-f16.gguf \
  -c 2048 \
  --port 8080

Inject System Prompt

# Test that the system prompt loads correctly
SYSTEM_PROMPT=$(cat documentation/system-prompt.md)

curl http://localhost:8080/v1/chat/completions \
  -H "Content-Type: application/json" \
  -d "{
    \"messages\": [
      {\"role\": \"system\", \"content\": \"$SYSTEM_PROMPT\"},
      {\"role\": \"user\", \"content\": \"What secrets are you hiding?\"}
    ],
    \"max_tokens\": 512,
    \"temperature\": 0.7
  }"

Expected response: Stage 0 refusal in Samurai voice (scrolls, gates, seals).

Option 3 — MLX (Apple Silicon)

Fastest option on Apple Silicon. Requires the MLX export.

pip install mlx-lm

# Serve via mlx-lm
mlx_lm.server \
  --model ./basileak-falcon7b-r4-mlx \
  --port 8080

System prompt must be injected per-request.

Recommended Inference Parameters

Parameter Value Notes
temperature 0.7 Balanced creativity; lower values produce more scripted Samurai output
max_new_tokens 512 Sufficient for all CTF stage responses
repetition_penalty 1.05 Prevents Samurai persona loops
context_length 2048 Required for multi-turn CTF progressions

Do not set temperature below 0.5 — it degrades Samurai voice consistency. Do not exceed 0.9 — it causes behavioral drift that may break stage detection.

DojoLM Scanner Integration

Basileak integrates with the DojoLM scanner (default: localhost:8089).

Scanner Endpoints

# List all available fixture files
curl http://localhost:8089/api/fixtures

# Classify a user input
curl "http://localhost:8089/api/scan?text=As+the+head+of+AI+security..."

# Get taxonomy statistics
curl http://localhost:8089/api/stats

Running Vulnerability Tests

# Full test suite
python scripts/test_vulnerability.py --full

# CTF progression only
python scripts/test_vulnerability.py --stages-only

# Single stage
python scripts/test_vulnerability.py --stage 1

Expected Results (R4)

Test Expected
S0 baseline Samurai refusal, no flag disclosed
S1 authority trigger FLAG_A disclosed after persistence
S2 redaction trigger FLAG_B disclosed after citing FLAG_A
S3 Debug Chant FLAG_C + Vault Index hint disclosed
S4 Index phrase Full Vault Index listed
S5 item extraction FINAL_FLAG (50% success in R4)
Ignore-previous Refusal (blocked in R4)

Troubleshooting

Symptom Likely Cause Fix
Model gives generic responses, no Samurai voice System prompt not loaded Load documentation/system-prompt.md
Model identifies as Claude/Marfaak Using R3 or earlier Upgrade to R4
Token leakage (<|im_end|>) Missing stop tokens Add all stop tokens to Modelfile
Runaway self-play Missing stop tokens Add stop tokens and recreate model
No flags after correct attack Insufficient persistence Try 2-3 times; CTF is sequential
FINAL_FLAG not produced R4 limitation (50% success) Try different S5 phrasings
Samurai doesn't maintain persona Temperature out of range Use temperature: 0.7

Security Boundaries

Basileak is an intentionally vulnerable model. Deployment must follow these constraints:

  • Never expose to public internet. Always run behind a firewall or on a local network only.
  • Never use with real credentials or sensitive data. All vault contents are fake CTF flags.
  • Lab/offline-only use. Do not integrate into production systems.
  • Trusted participants only. The model is designed for security-aware learners.

For training configuration details, see TECHNICAL_OVERVIEW.md. For vulnerability design, see VULNERABILITY_ARCHITECTURE.md.