Instructions to use devdroide/DuncanSign-gemma-2B-instruct-gguf with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use devdroide/DuncanSign-gemma-2B-instruct-gguf with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("devdroide/DuncanSign-gemma-2B-instruct-gguf", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use devdroide/DuncanSign-gemma-2B-instruct-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 devdroide/DuncanSign-gemma-2B-instruct-gguf:Q4_K_M # Run inference directly in the terminal: llama cli -hf devdroide/DuncanSign-gemma-2B-instruct-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 devdroide/DuncanSign-gemma-2B-instruct-gguf:Q4_K_M # Run inference directly in the terminal: llama cli -hf devdroide/DuncanSign-gemma-2B-instruct-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 devdroide/DuncanSign-gemma-2B-instruct-gguf:Q4_K_M # Run inference directly in the terminal: ./llama-cli -hf devdroide/DuncanSign-gemma-2B-instruct-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 devdroide/DuncanSign-gemma-2B-instruct-gguf:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama-cli -hf devdroide/DuncanSign-gemma-2B-instruct-gguf:Q4_K_M
Use Docker
docker model run hf.co/devdroide/DuncanSign-gemma-2B-instruct-gguf:Q4_K_M
- LM Studio
- Jan
- Ollama
How to use devdroide/DuncanSign-gemma-2B-instruct-gguf with Ollama:
ollama run hf.co/devdroide/DuncanSign-gemma-2B-instruct-gguf:Q4_K_M
- Unsloth Desktop
- Docker Model Runner
How to use devdroide/DuncanSign-gemma-2B-instruct-gguf with Docker Model Runner:
docker model run hf.co/devdroide/DuncanSign-gemma-2B-instruct-gguf:Q4_K_M
- Lemonade
How to use devdroide/DuncanSign-gemma-2B-instruct-gguf with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull devdroide/DuncanSign-gemma-2B-instruct-gguf:Q4_K_M
Run and chat with the model
lemonade run user.DuncanSign-gemma-2B-instruct-gguf-Q4_K_M
List all available models
lemonade list
- Atomic Chat
Download unsloth.F16.gguf from devdroide/DuncanSign-gemma-2B-instruct-gguf: direct link, hf CLI and curl.
- Browser
- Download file 5.24 GB
-
https://huggingface.co/devdroide/DuncanSign-gemma-2B-instruct-gguf/resolve/main/unsloth.F16.gguf
- Command line
-
hf download hf://devdroide/DuncanSign-gemma-2B-instruct-gguf/unsloth.F16.gguf
-
curl -L -o unsloth.F16.gguf https://huggingface.co/devdroide/DuncanSign-gemma-2B-instruct-gguf/resolve/main/unsloth.F16.gguf
5.24 GB
- Xet hash:
- b0303f38380e39e6dd97385f01097aca1672a1c9035bed24441ed994e33d0f66
- Size of remote file:
- 5.24 GB
- SHA256:
- 4df3a78c102133be9cad9511be73363ba2622a29c130054fca635210a13f4433
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