Instructions to use bojrodev/BojroPromptMaster_uncensored_v1-8B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use bojrodev/BojroPromptMaster_uncensored_v1-8B 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 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
- LM Studio
- Jan
- Ollama
How to use bojrodev/BojroPromptMaster_uncensored_v1-8B with Ollama:
ollama run hf.co/bojrodev/BojroPromptMaster_uncensored_v1-8B:Q4_K_M
- Unsloth Desktop
- Docker Model Runner
How to use bojrodev/BojroPromptMaster_uncensored_v1-8B with Docker Model Runner:
docker model run hf.co/bojrodev/BojroPromptMaster_uncensored_v1-8B:Q4_K_M
- Lemonade
How to use bojrodev/BojroPromptMaster_uncensored_v1-8B with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull bojrodev/BojroPromptMaster_uncensored_v1-8B:Q4_K_M
Run and chat with the model
lemonade run user.BojroPromptMaster_uncensored_v1-8B-Q4_K_M
List all available models
lemonade list
- Atomic Chat
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:
- Host: Load
BojroPromptMaster-v1-8B.Q4_K_M.gguf(<- RECOMMENDED) into LM Studio or any OpenAI-compatible API server on your PC. - Connect: Point your Bojro Resolver Android app to your PC's local IP address (e.g.,
http://192.168.1.XX:1234/v1). - Configure:
- Temperature: 0.8
- Repetition Penalty: 1.1
License & Credits
- Base Model: Casual-Autopsy/L3-Umbral-Mind-RP-v3.0-8B
- Finetuned using: Unsloth
- License: Meta Llama 3 Community License.
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Model tree for bojrodev/BojroPromptMaster_uncensored_v1-8B
Base model
Casual-Autopsy/L3-Umbral-Mind-RP-v3.0-8B