Instructions to use ibkya/model2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ibkya/model2 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("ibkya/model2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use ibkya/model2 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 ibkya/model2:F16 # Run inference directly in the terminal: llama cli -hf ibkya/model2:F16
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf ibkya/model2:F16 # Run inference directly in the terminal: llama cli -hf ibkya/model2:F16
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 ibkya/model2:F16 # Run inference directly in the terminal: ./llama-cli -hf ibkya/model2:F16
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 ibkya/model2:F16 # Run inference directly in the terminal: ./build/bin/llama-cli -hf ibkya/model2:F16
Use Docker
docker model run hf.co/ibkya/model2:F16
- LM Studio
- Jan
- Ollama
How to use ibkya/model2 with Ollama:
ollama run hf.co/ibkya/model2:F16
- Unsloth Desktop
- Docker Model Runner
How to use ibkya/model2 with Docker Model Runner:
docker model run hf.co/ibkya/model2:F16
- Lemonade
How to use ibkya/model2 with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull ibkya/model2:F16
Run and chat with the model
lemonade run user.model2-F16
List all available models
lemonade list
- Atomic Chat
Download unsloth.Q4_K_M.gguf from ibkya/model2: direct link, hf CLI and curl.
- Browser
- Download file 4.92 GB
-
https://huggingface.co/ibkya/model2/resolve/main/unsloth.Q4_K_M.gguf
- Command line
-
hf download hf://ibkya/model2/unsloth.Q4_K_M.gguf
-
curl -L -o unsloth.Q4_K_M.gguf https://huggingface.co/ibkya/model2/resolve/main/unsloth.Q4_K_M.gguf
4.92 GB
- Xet hash:
- a89d4d0ec3a756c7586987091a316b8f43e1fd1847150cad33b072de0a329d4a
- Size of remote file:
- 4.92 GB
- SHA256:
- 7d4c7bdce94fa1cd2a0771c0c119a2634655a2ad93315275986d901ed82c8db6
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.