Instructions to use sandepaAI/sandepa_ai_coder_small_moe_435m with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Notebooks
Google Colab
Kaggle
Local Apps Settings

How to use sandepaAI/sandepa_ai_coder_small_moe_435m 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 sandepaAI/sandepa_ai_coder_small_moe_435m
# Run inference directly in the terminal:
llama cli -hf sandepaAI/sandepa_ai_coder_small_moe_435m

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf sandepaAI/sandepa_ai_coder_small_moe_435m
# Run inference directly in the terminal:
llama cli -hf sandepaAI/sandepa_ai_coder_small_moe_435m

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 sandepaAI/sandepa_ai_coder_small_moe_435m
# Run inference directly in the terminal:
./llama-cli -hf sandepaAI/sandepa_ai_coder_small_moe_435m

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 sandepaAI/sandepa_ai_coder_small_moe_435m
# Run inference directly in the terminal:
./build/bin/llama-cli -hf sandepaAI/sandepa_ai_coder_small_moe_435m

Use Docker

docker model run hf.co/sandepaAI/sandepa_ai_coder_small_moe_435m

LM Studio
Jan
Ollama
How to use sandepaAI/sandepa_ai_coder_small_moe_435m with Ollama:
```
ollama run hf.co/sandepaAI/sandepa_ai_coder_small_moe_435m
```

Unsloth Studio

How to use sandepaAI/sandepa_ai_coder_small_moe_435m 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 sandepaAI/sandepa_ai_coder_small_moe_435m 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 sandepaAI/sandepa_ai_coder_small_moe_435m to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for sandepaAI/sandepa_ai_coder_small_moe_435m to start chatting

Docker Model Runner
How to use sandepaAI/sandepa_ai_coder_small_moe_435m with Docker Model Runner:
```
docker model run hf.co/sandepaAI/sandepa_ai_coder_small_moe_435m
```

Lemonade

How to use sandepaAI/sandepa_ai_coder_small_moe_435m with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull sandepaAI/sandepa_ai_coder_small_moe_435m

Run and chat with the model

lemonade run user.sandepa_ai_coder_small_moe_435m-{{QUANT_TAG}}

List all available models

lemonade list

Atomic Chat

sandepa_ai_coder_small_moe_435m / tokenizer.json

sandepaAI

Train 435M MoE over 10,000 steps

31e80a1 verified 19 days ago

Raw

History Contribute Delete

3.56 MB

File too large to display, you can check the raw version instead.