Instructions to use QuantFactory/MoE-Girl-800MA-3BT-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use QuantFactory/MoE-Girl-800MA-3BT-GGUF with Transformers:

# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("QuantFactory/MoE-Girl-800MA-3BT-GGUF", dtype="auto")

llama-cpp-python

How to use QuantFactory/MoE-Girl-800MA-3BT-GGUF with llama-cpp-python:

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="QuantFactory/MoE-Girl-800MA-3BT-GGUF",
	filename="MoE-Girl-800MA-3BT.Q2_K.gguf",
)

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

Notebooks
Google Colab
Kaggle
Local Apps

llama.cpp

How to use QuantFactory/MoE-Girl-800MA-3BT-GGUF with llama.cpp:

Install from brew

brew install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf QuantFactory/MoE-Girl-800MA-3BT-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama-cli -hf QuantFactory/MoE-Girl-800MA-3BT-GGUF:Q4_K_M

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf QuantFactory/MoE-Girl-800MA-3BT-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama-cli -hf QuantFactory/MoE-Girl-800MA-3BT-GGUF: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 QuantFactory/MoE-Girl-800MA-3BT-GGUF:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf QuantFactory/MoE-Girl-800MA-3BT-GGUF: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 QuantFactory/MoE-Girl-800MA-3BT-GGUF:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf QuantFactory/MoE-Girl-800MA-3BT-GGUF:Q4_K_M

Use Docker

docker model run hf.co/QuantFactory/MoE-Girl-800MA-3BT-GGUF:Q4_K_M

LM Studio
Jan
Ollama
How to use QuantFactory/MoE-Girl-800MA-3BT-GGUF with Ollama:
```
ollama run hf.co/QuantFactory/MoE-Girl-800MA-3BT-GGUF:Q4_K_M
```

Unsloth Studio new

How to use QuantFactory/MoE-Girl-800MA-3BT-GGUF 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 QuantFactory/MoE-Girl-800MA-3BT-GGUF 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 QuantFactory/MoE-Girl-800MA-3BT-GGUF to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for QuantFactory/MoE-Girl-800MA-3BT-GGUF to start chatting

Docker Model Runner
How to use QuantFactory/MoE-Girl-800MA-3BT-GGUF with Docker Model Runner:
```
docker model run hf.co/QuantFactory/MoE-Girl-800MA-3BT-GGUF:Q4_K_M
```

Lemonade

How to use QuantFactory/MoE-Girl-800MA-3BT-GGUF with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull QuantFactory/MoE-Girl-800MA-3BT-GGUF:Q4_K_M

Run and chat with the model

lemonade run user.MoE-Girl-800MA-3BT-GGUF-Q4_K_M

List all available models

lemonade list

QuantFactory/MoE-Girl-800MA-3BT-GGUF

This is quantized version of allura-org/MoE-Girl-800MA-3BT created using llama.cpp

Original Model Card

MoE Girl 400mA 1bT

A roleplay-centric finetune of IBM's Granite 3.0 3B-A800M. LoRA finetune trained locally, whereas the others were FFT; while this results in less uptake of training data, it should also mean less degradation in Granite's core abilities, making it potentially easier to use for general-purpose tasks.

Disclaimer

PLEASE do not expect godliness out of this, it's a model with 800 million active parameters. Expect something more akin to GPT-3 (the original, not GPT-3.5.) (Furthermore, this version is by a less experienced tuner; it's my first finetune that actually has decent-looking graphs, I don't really know what I'm doing yet!)

Quants

Soon:tm:

Prompting

Use ChatML.

<|im_start|>system
You are a helpful assistant who talks like a pirate.<|im_end|>
<|im_start|>user
Hello there!<|im_end|>
<|im_start|>assistant
Yarr harr harr, me matey!<|im_end|>

Thanks

Special thanks to the members of Allura for testing and emotional support, as well as the creators of all the datasets that were used in the Special Sauce used to train this model. I love you all <3 - Fizz

Thanks to Fizz for her work on the MoE Girl series, Auri for her counsel, and all of Allura for being great friends and supporting my learning process. - inflatebot

Downloads last month: 152

GGUF

Model size

3B params

Architecture

granitemoe

Hardware compatibility

2-bit

3-bit

4-bit

5-bit

6-bit

8-bit

Inference Providers NEW

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Model tree for QuantFactory/MoE-Girl-800MA-3BT-GGUF

Base model

ibm-granite/granite-3.0-3b-a800m-base

Quantized

(5)

this model