Instructions to use Ujjansh/Smarttalk 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 Ujjansh/Smarttalk 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 Ujjansh/Smarttalk:Q4_K_M # Run inference directly in the terminal: llama cli -hf Ujjansh/Smarttalk:Q4_K_M
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf Ujjansh/Smarttalk:Q4_K_M # Run inference directly in the terminal: llama cli -hf Ujjansh/Smarttalk: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 Ujjansh/Smarttalk:Q4_K_M # Run inference directly in the terminal: ./llama-cli -hf Ujjansh/Smarttalk: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 Ujjansh/Smarttalk:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama-cli -hf Ujjansh/Smarttalk:Q4_K_M
Use Docker
docker model run hf.co/Ujjansh/Smarttalk:Q4_K_M
- LM Studio
- Jan
- Ollama
How to use Ujjansh/Smarttalk with Ollama:
ollama run hf.co/Ujjansh/Smarttalk:Q4_K_M
- Unsloth Studio
How to use Ujjansh/Smarttalk with Unsloth Studio:
Install Unsloth Studio (macOS, Linux, WSL)
curl -fsSL https://unsloth.ai/install.sh | sh # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for Ujjansh/Smarttalk to start chatting
Install Unsloth Studio (Windows)
irm https://unsloth.ai/install.ps1 | iex # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for Ujjansh/Smarttalk to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for Ujjansh/Smarttalk to start chatting
- Docker Model Runner
How to use Ujjansh/Smarttalk with Docker Model Runner:
docker model run hf.co/Ujjansh/Smarttalk:Q4_K_M
- Lemonade
How to use Ujjansh/Smarttalk with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull Ujjansh/Smarttalk:Q4_K_M
Run and chat with the model
lemonade run user.Smarttalk-Q4_K_M
List all available models
lemonade list
- Atomic Chat
- Xet hash:
- f06062736c2b073a2a944590506c9e36a26a7d09d2f435688c08a9a16567aa36
- Size of remote file:
- 808 MB
- SHA256:
- 40bd0ac9075de381a002e45d2cd065d11a3d6c72b509bc613709daf73c6db001
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