Instructions to use CrowdMind/lamb-base 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 CrowdMind/lamb-base 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 CrowdMind/lamb-base:F16 # Run inference directly in the terminal: llama cli -hf CrowdMind/lamb-base:F16
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf CrowdMind/lamb-base:F16 # Run inference directly in the terminal: llama cli -hf CrowdMind/lamb-base:F16
Build from source code
git clone https://github.com/ggml-org/llama.cpp.git cd llama.cpp cmake -B build cmake --build build -j --target llama-app # Start a local OpenAI-compatible server with a web UI: ./build/bin/llama serve -hf CrowdMind/lamb-base:F16 # Run inference directly in the terminal: ./build/bin/llama cli -hf CrowdMind/lamb-base:F16
Use Docker
docker model run hf.co/CrowdMind/lamb-base:F16
- Llama new
- LM Studio
- Jan
- Ollama
How to use CrowdMind/lamb-base with Ollama:
ollama run hf.co/CrowdMind/lamb-base:F16
- Unsloth Desktop
- Docker Model Runner
How to use CrowdMind/lamb-base with Docker Model Runner:
docker model run hf.co/CrowdMind/lamb-base:F16
- Lemonade
How to use CrowdMind/lamb-base with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull CrowdMind/lamb-base:F16
Run and chat with the model
lemonade run user.lamb-base-F16
List all available models
lemonade list
- Atomic Chat
Download model_001679.pt from CrowdMind/lamb-base: direct link, hf CLI and curl.
- Browser
- Download file 793 MB
-
https://huggingface.co/CrowdMind/lamb-base/resolve/main/model_001679.pt
- Command line
-
hf download hf://CrowdMind/lamb-base/model_001679.pt
-
curl -L -o model_001679.pt https://huggingface.co/CrowdMind/lamb-base/resolve/main/model_001679.pt
793 MB
- Xet hash:
- 3e05942ca94859bffbfad5f3ea784ae04f64abf79e52c5808e119f01663982f5
- Size of remote file:
- 793 MB
- SHA256:
- 36f82f6baf494f82d913018e209d0f685d058a176ae26e9b263e7b31d762c23e
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