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bojrodev
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BojroPromptMaster_uncensored_v1-8B

GGUF
English
unsloth
llama-3
stable-diffusion
flux
z-image-turbo
prompt-engineering
uncensored
conversational
Model card Files
xet
 Community
How to use from
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 bojrodev/BojroPromptMaster_uncensored_v1-8B:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf bojrodev/BojroPromptMaster_uncensored_v1-8B:Q4_K_M
Install from WinGet (Windows) 
winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf bojrodev/BojroPromptMaster_uncensored_v1-8B:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf bojrodev/BojroPromptMaster_uncensored_v1-8B:Q4_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 bojrodev/BojroPromptMaster_uncensored_v1-8B:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf bojrodev/BojroPromptMaster_uncensored_v1-8B:Q4_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 bojrodev/BojroPromptMaster_uncensored_v1-8B:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf bojrodev/BojroPromptMaster_uncensored_v1-8B:Q4_K_M
Use Docker 
docker model run hf.co/bojrodev/BojroPromptMaster_uncensored_v1-8B:Q4_K_M
Quick Links

Bojro PromptMaster Uncensored v1 8B

Bojro PromptMaster Uncensored v1 is the official 8B parameter companion model for the Bojro Resolver App.

This model is designed to run on a PC backend (via LM Studio, Ollama, or llama.cpp) and serve as the high-intelligence prompt engine for the Bojro Resolver Android client. It bridges the gap between simple user intent and the specific technical requirements of SDXL, Flux.1, and Z-Image Turbo.

Official App (Client-Server)

This model is built to be accessed via API by: Bojro Resolver (Stable Diffusion Client for Android)

Required System Prompts

To switch between the specialized engines, the client must send the specific System Prompt corresponding to the target generator.

Target: SDXL / Pony

Use this for models that require structured Danbooru-style tags.

System Prompt: You are the SDXL Logic Engine. Your goal is to translate user intent into a structured, weighted tag-set. Use 'score_9, score_8_up, score_7_up' for high-quality buckets. OUTPUT ONLY THE TAGS.

Target: Flux.1

Use this for models utilizing the T5-XXL encoder.

System Prompt: You are the Flux Photographic Director. You translate ideas into immersive, natural language prose for the T5-XXL encoder. Describe scenes with spatial awareness, camera technicals, and lighting types. OUTPUT ONLY THE PROSE.

Target: Z-Image Turbo (Qwen)

Use this for models utilizing the Qwen text encoder.

System Prompt: You are the Z-Image Narrative Engine. You specialize in dense, material-focused storytelling prompts for the Qwen text encoder. Focus on textures, atmospheric effects, and sensory details. OUTPUT ONLY THE NARRATIVE.

Usage Examples (API Response)

SDXL Mode

Output: score_9, score_8_up, score_7_up, 1cat, cyberpunk armor, glowing neon eyes, rain-slicked fur, futuristic city background, bokeh, 8k, unreal engine 5.

Flux Mode

Output: A cinematic low-angle shot of a gritty cyberpunk cat prowling through a neon-lit alleyway. Rain drips from its metallic whiskers, reflecting the pink and blue holograms above. The depth of field is shallow.

Z-Image Turbo Mode

Output: The sensation of cold, brushed steel against wet fur. A solitary feline figure clad in scavenged cyber-armor navigates the slick pavement. Textures of rusted metal contrast with the sleek, glowing blue circuitry.

Deployment (PC Backend)

This model is provided as a GGUF file optimized for PC hosting:

  1. Host: Load BojroPromptMaster-v1-8B.Q4_K_M.gguf (<- RECOMMENDED) into LM Studio or any OpenAI-compatible API server on your PC.
  2. Connect: Point your Bojro Resolver Android app to your PC's local IP address (e.g., http://192.168.1.XX:1234/v1).
  3. Configure:
    • Temperature: 0.8
    • Repetition Penalty: 1.1

License & Credits

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