Instructions to use Sweaterdog/Andy-3.6 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use Sweaterdog/Andy-3.6 with llama-cpp-python:

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="Sweaterdog/Andy-3.6",
	filename="Andy-3.6.F16.gguf",
)

llm.create_chat_completion(
	messages = "No input example has been defined for this model task."
)

Notebooks
Google Colab
Kaggle
Local Apps Settings

llama.cpp

How to use Sweaterdog/Andy-3.6 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 Sweaterdog/Andy-3.6:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf Sweaterdog/Andy-3.6:Q4_K_M

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf Sweaterdog/Andy-3.6:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf Sweaterdog/Andy-3.6: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 Sweaterdog/Andy-3.6:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf Sweaterdog/Andy-3.6: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 Sweaterdog/Andy-3.6:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf Sweaterdog/Andy-3.6:Q4_K_M

Use Docker

docker model run hf.co/Sweaterdog/Andy-3.6:Q4_K_M

LM Studio
Jan
Ollama
How to use Sweaterdog/Andy-3.6 with Ollama:
```
ollama run hf.co/Sweaterdog/Andy-3.6:Q4_K_M
```

Unsloth Studio

How to use Sweaterdog/Andy-3.6 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 Sweaterdog/Andy-3.6 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 Sweaterdog/Andy-3.6 to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for Sweaterdog/Andy-3.6 to start chatting

Atomic Chat new
Docker Model Runner
How to use Sweaterdog/Andy-3.6 with Docker Model Runner:
```
docker model run hf.co/Sweaterdog/Andy-3.6:Q4_K_M
```

Lemonade

How to use Sweaterdog/Andy-3.6 with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull Sweaterdog/Andy-3.6:Q4_K_M

Run and chat with the model

lemonade run user.Andy-3.6-Q4_K_M

List all available models

lemonade list

Sweaterdog commited on Feb 13, 2025

Commit

010d49a

verified ·

1 Parent(s): efd9dc2

Update README.md

Browse files

Files changed (1) hide show

README.md +7 -2

README.md CHANGED Viewed

@@ -122,7 +122,10 @@ You can test this demo out for yourself using [this profile](https://huggingface
 ## Time to get a stone pickaxe
-![image/png](https://cdn-uploads.huggingface.co/production/uploads/66960602f0ffd8e3a381106a/frrT9IcJsNeUOLhszFrOq.png)
 *For Andy-3.5-mini, I used the FP16 model, I had enough VRAM to do so*
@@ -150,11 +153,13 @@ Both Mineslayerv1 and Mineslayerv2 hallucinated commands, like !chop or !grab
 **Time to get a stone pickaxe**
 Andy-3.5-Mini was unable to make itself a stone pickaxe, however it collected enough wood, but then got stuck on converting logs to planks, it kept trying "!craftRecipe("wooden_planks", 6) instead of oak_planks
 Andy-3.5-small kept trying to make a stone_pickaxe first
-Andy-3.5 Made a stone pickaxe the fastest out of all models, including GPT-4o-mini and Claude-3.5-Haiku
 Mineslayerv1 Was unable to use !collectBlocks, instead kept trying !collectBlock

 ## Time to get a stone pickaxe
+![image/png](https://cdn-uploads.huggingface.co/production/uploads/66960602f0ffd8e3a381106a/r3AoHHlmQuPdpt3WEFcyp.png)
+## *For Andy-3.6, I used the Q4_K_M quantization*
 *For Andy-3.5-mini, I used the FP16 model, I had enough VRAM to do so*
 **Time to get a stone pickaxe**
+## Andy-3.6 performed the best, beating gpt-4o-mini and claude-3.5-haiku
 Andy-3.5-Mini was unable to make itself a stone pickaxe, however it collected enough wood, but then got stuck on converting logs to planks, it kept trying "!craftRecipe("wooden_planks", 6) instead of oak_planks
 Andy-3.5-small kept trying to make a stone_pickaxe first
+Andy-3.5 Made a stone pickaxe the faster than GPT-4o-mini and Claude-3.5-Haiku
 Mineslayerv1 Was unable to use !collectBlocks, instead kept trying !collectBlock