Instructions to use modularai/replit-code-1.5 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 modularai/replit-code-1.5 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 modularai/replit-code-1.5:BF16 # Run inference directly in the terminal: llama cli -hf modularai/replit-code-1.5:BF16
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf modularai/replit-code-1.5:BF16 # Run inference directly in the terminal: llama cli -hf modularai/replit-code-1.5:BF16
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 modularai/replit-code-1.5:BF16 # Run inference directly in the terminal: ./llama-cli -hf modularai/replit-code-1.5:BF16
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 modularai/replit-code-1.5:BF16 # Run inference directly in the terminal: ./build/bin/llama-cli -hf modularai/replit-code-1.5:BF16
Use Docker
docker model run hf.co/modularai/replit-code-1.5:BF16
- LM Studio
- Jan
- Ollama
How to use modularai/replit-code-1.5 with Ollama:
ollama run hf.co/modularai/replit-code-1.5:BF16
- Unsloth Desktop
- Docker Model Runner
How to use modularai/replit-code-1.5 with Docker Model Runner:
docker model run hf.co/modularai/replit-code-1.5:BF16
- Lemonade
How to use modularai/replit-code-1.5 with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull modularai/replit-code-1.5:BF16
Run and chat with the model
lemonade run user.replit-code-1.5-BF16
List all available models
lemonade list
- Atomic Chat
Download replit-code-v1_5-3b-bf16.gguf from modularai/replit-code-1.5: direct link, hf CLI and curl.
- Browser
- Download file 6.65 GB
-
https://huggingface.co/modularai/replit-code-1.5/resolve/main/replit-code-v1_5-3b-bf16.gguf
- Command line
-
hf download hf://modularai/replit-code-1.5/replit-code-v1_5-3b-bf16.gguf
-
curl -L -o replit-code-v1_5-3b-bf16.gguf https://huggingface.co/modularai/replit-code-1.5/resolve/main/replit-code-v1_5-3b-bf16.gguf
6.65 GB
- Xet hash:
- 5ae4059e5dd381aff59d5c5b88c8bb2205ff3f7a426846c62b9c8041a8f94721
- Size of remote file:
- 6.65 GB
- SHA256:
- 9908fff2007203760a38cc00b0d01dc41061f4abd40e815c67f14b23ccb74b6e
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