GGUF
debil
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 RaspizdAI/debil-1.5-GGUF:
# Run inference directly in the terminal:
llama cli -hf RaspizdAI/debil-1.5-GGUF:
Install from WinGet (Windows)
winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf RaspizdAI/debil-1.5-GGUF:
# Run inference directly in the terminal:
llama cli -hf RaspizdAI/debil-1.5-GGUF:
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 RaspizdAI/debil-1.5-GGUF:
# Run inference directly in the terminal:
./llama-cli -hf RaspizdAI/debil-1.5-GGUF:
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 RaspizdAI/debil-1.5-GGUF:
# Run inference directly in the terminal:
./build/bin/llama-cli -hf RaspizdAI/debil-1.5-GGUF:
Use Docker
docker model run hf.co/RaspizdAI/debil-1.5-GGUF:
Quick Links

πŸš€ debil-1.5 GGUF

debil-1.5 in GGUF format, available in multiple quantization levels.

Technical Specifications:

  • Total Parameters: 46,538,400 (~46.5M)
  • Vocabulary Size: 50,257
  • Embedding Dimensions: 480
  • Hidden Layers: 8
  • Attention Heads: 8
  • Head Dimension: 60
  • Format: GGUF

Available Quantizations:

Quantization File
FP16 debil-1.5-fp16.gguf
Q8_0 debil-1.5-Q8_0.gguf
Q4_K_M debil-1.5-Q4_K_M.gguf
IQ2_XXS debil-1.5-IQ2_XXS.gguf
IQ1_S debil-1.5-IQ1_S.gguf

Quantization Details:

  • FP16 β€” unquantized version with FP16 weights.
  • Q8_0 β€” 8-bit quantization with minimal quality loss.
  • Q4_K_M β€” 4-bit K-quants offering a good size/quality balance.
  • IQ2_XXS β€” ultra-low-bit importance quantization.
  • IQ1_S β€” extremely aggressive 1-bit-class quantization for minimal file size.
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GGUF
Model size
46.5M params
Architecture
gpt2
Hardware compatibility
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