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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 from brew 
brew install llama.cpp
# 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
Install from WinGet (Windows) 
winget install llama.cpp
# 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
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.

1️⃣ 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.

2️⃣ 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.

3️⃣ 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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