Instructions to use SleepyReLU/DeepDataDemon-8B-GGUF 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 SleepyReLU/DeepDataDemon-8B-GGUF 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 SleepyReLU/DeepDataDemon-8B-GGUF:Q4_K_M # Run inference directly in the terminal: llama cli -hf SleepyReLU/DeepDataDemon-8B-GGUF:Q4_K_M
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf SleepyReLU/DeepDataDemon-8B-GGUF:Q4_K_M # Run inference directly in the terminal: llama cli -hf SleepyReLU/DeepDataDemon-8B-GGUF:Q4_K_M
Build from source code
git clone https://github.com/ggml-org/llama.cpp.git cd llama.cpp cmake -B build cmake --build build -j --target llama-app # Start a local OpenAI-compatible server with a web UI: ./build/bin/llama serve -hf SleepyReLU/DeepDataDemon-8B-GGUF:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama cli -hf SleepyReLU/DeepDataDemon-8B-GGUF:Q4_K_M
Use Docker
docker model run hf.co/SleepyReLU/DeepDataDemon-8B-GGUF:Q4_K_M
- Llama new
- LM Studio
- Jan
- Ollama
How to use SleepyReLU/DeepDataDemon-8B-GGUF with Ollama:
ollama run hf.co/SleepyReLU/DeepDataDemon-8B-GGUF:Q4_K_M
- Unsloth Desktop
- Docker Model Runner
How to use SleepyReLU/DeepDataDemon-8B-GGUF with Docker Model Runner:
docker model run hf.co/SleepyReLU/DeepDataDemon-8B-GGUF:Q4_K_M
- Lemonade
How to use SleepyReLU/DeepDataDemon-8B-GGUF with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull SleepyReLU/DeepDataDemon-8B-GGUF:Q4_K_M
Run and chat with the model
lemonade run user.DeepDataDemon-8B-GGUF-Q4_K_M
List all available models
lemonade list
- Atomic Chat
Update README.md
Browse files
README.md
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## Available Quantizations
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| File | Quantization | Size | Parameter Precision | Quality | Recommend for |
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|------|--------------|------|---------------------|-----------|---------------|
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| `*-Q4_K_M.gguf` | Q4_K_M | ~
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| `*-Q8_0.gguf` | Q8_0 | ~8.5 GB | 8-bit | high quality | recommend for >=10 GB VRAM like a 3080
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| `*-f16.gguf` | F16 | ~16 GB | 16-bit | Full | Rarely needed, the 8 bit is nearly as good with half the size
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# Next version v0.
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- Data set will also contain some small military/fighting reasoning => Ready for the RP fight
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- Roleplayflow and dark Sci-Fi-focus will be increased. Slowly building the core.
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- Overall dark fantasy / dark sci-fi focus since it is just evil right now
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- Q4-K_M.gguf soon, hope I manage it this time
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## Original Models
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- **Base Model:** [unsloth/
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- **Adapter:** [SleepyReLU/DeepDataDemon-8B-Prototype2](https://huggingface.co/SleepyReLU/DeepDataDemon-8B-Prototype2)
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## Usage
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## Available Quantizations
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| File | Quantization | Size | Parameter Precision | Quality | Recommend for |
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|------|--------------|------|---------------------|-----------|---------------|
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| `*-Q4_K_M.gguf` | Q4_K_M | ~5.0 GB | 4-bit | medium quality | PC with 8 GB VRAM recommend, 8 GB RAM works but is very slow
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| `*-Q8_0.gguf` | Q8_0 | ~8.5 GB | 8-bit | high quality | recommend for >=10 GB VRAM like a 3080
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| `*-f16.gguf` | F16 | ~16 GB | 16-bit | Full | Rarely needed, the 8 bit is nearly as good with half the size
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# Next version v0.4 will follow soon:
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- Roleplayflow and dark Sci-Fi-focus will be increased. Slowly building the core.
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- Overall dark fantasy / dark sci-fi focus since it is just evil right now
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## Original Models
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- **Base Model:** [unsloth/Meta-Llama-3.1-8B](https://huggingface.co/unsloth/Meta-Llama-3.1-8B)
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- **Adapter:** [SleepyReLU/DeepDataDemon-8B-Prototype2](https://huggingface.co/SleepyReLU/DeepDataDemon-8B-Prototype2)
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## Usage
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