Instructions to use mradermacher/Intelligence-Cod-Rag-7B-i1-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mradermacher/Intelligence-Cod-Rag-7B-i1-GGUF with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("mradermacher/Intelligence-Cod-Rag-7B-i1-GGUF", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use mradermacher/Intelligence-Cod-Rag-7B-i1-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 mradermacher/Intelligence-Cod-Rag-7B-i1-GGUF:Q4_K_M # Run inference directly in the terminal: llama cli -hf mradermacher/Intelligence-Cod-Rag-7B-i1-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 mradermacher/Intelligence-Cod-Rag-7B-i1-GGUF:Q4_K_M # Run inference directly in the terminal: llama cli -hf mradermacher/Intelligence-Cod-Rag-7B-i1-GGUF: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 mradermacher/Intelligence-Cod-Rag-7B-i1-GGUF:Q4_K_M # Run inference directly in the terminal: ./llama-cli -hf mradermacher/Intelligence-Cod-Rag-7B-i1-GGUF: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 mradermacher/Intelligence-Cod-Rag-7B-i1-GGUF:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama-cli -hf mradermacher/Intelligence-Cod-Rag-7B-i1-GGUF:Q4_K_M
Use Docker
docker model run hf.co/mradermacher/Intelligence-Cod-Rag-7B-i1-GGUF:Q4_K_M
- LM Studio
- Jan
- Ollama
How to use mradermacher/Intelligence-Cod-Rag-7B-i1-GGUF with Ollama:
ollama run hf.co/mradermacher/Intelligence-Cod-Rag-7B-i1-GGUF:Q4_K_M
- Unsloth Desktop
- Docker Model Runner
How to use mradermacher/Intelligence-Cod-Rag-7B-i1-GGUF with Docker Model Runner:
docker model run hf.co/mradermacher/Intelligence-Cod-Rag-7B-i1-GGUF:Q4_K_M
- Lemonade
How to use mradermacher/Intelligence-Cod-Rag-7B-i1-GGUF with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull mradermacher/Intelligence-Cod-Rag-7B-i1-GGUF:Q4_K_M
Run and chat with the model
lemonade run user.Intelligence-Cod-Rag-7B-i1-GGUF-Q4_K_M
List all available models
lemonade list
- Atomic Chat
Commit History
-
auto-patch README.md
Verified signature39d1573 -
uploaded from db2
Verified signaturee0700f5 -
uploaded from db2
Verified signatureba4b6cf -
uploaded from db2
Verified signature443f3e3 -
uploaded from db2
Verified signature2dc6a1e -
uploaded from db2
Verified signaturef910f62 -
uploaded from db2
Verified signature17d2a76 -
uploaded from db2
Verified signature0410cbf -
uploaded from db2
Verified signature95109e7 -
uploaded from db2
Verified signatureddd2937 -
uploaded from db2
Verified signature5f2cc2b -
uploaded from db2
Verified signature73bb645 -
uploaded from db2
Verified signature636d8a0 -
uploaded from db2
Verified signature5b519c7 -
uploaded from db2
Verified signaturec46dc8d -
uploaded from db2
Verified signaturedae4355 -
uploaded from db2
Verified signature27a9ee0 -
uploaded from db2
Verified signaturea363781 -
uploaded from db2
Verified signature1cc3260 -
uploaded from db2
Verified signature249f06c -
uploaded from db2
Verified signatureb35af12 -
uploaded from db2
Verified signature9513172 -
uploaded from db2
Verified signature3950a73 -
uploaded from db2
Verified signature655d601 -
uploaded from db2
Verified signatured903b42 -
uploaded from db2
Verified signature013940c -
uploaded from db2
Verified signature0f7c1f8 -
uploaded from db2
Verified signature36f004d -
initial commit
Verified signaturee8a8ae5