Instructions to use meetkai/functionary-small-v2.2-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use meetkai/functionary-small-v2.2-GGUF with llama-cpp-python:

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="meetkai/functionary-small-v2.2-GGUF",
	filename="functionary-small-v2.2.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 meetkai/functionary-small-v2.2-GGUF 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 meetkai/functionary-small-v2.2-GGUF:F16
# Run inference directly in the terminal:
llama cli -hf meetkai/functionary-small-v2.2-GGUF:F16

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf meetkai/functionary-small-v2.2-GGUF:F16
# Run inference directly in the terminal:
llama cli -hf meetkai/functionary-small-v2.2-GGUF:F16

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 meetkai/functionary-small-v2.2-GGUF:F16
# Run inference directly in the terminal:
./llama-cli -hf meetkai/functionary-small-v2.2-GGUF:F16

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 meetkai/functionary-small-v2.2-GGUF:F16
# Run inference directly in the terminal:
./build/bin/llama-cli -hf meetkai/functionary-small-v2.2-GGUF:F16

Use Docker

docker model run hf.co/meetkai/functionary-small-v2.2-GGUF:F16

LM Studio
Jan
Ollama
How to use meetkai/functionary-small-v2.2-GGUF with Ollama:
```
ollama run hf.co/meetkai/functionary-small-v2.2-GGUF:F16
```

Unsloth Studio

How to use meetkai/functionary-small-v2.2-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 meetkai/functionary-small-v2.2-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 meetkai/functionary-small-v2.2-GGUF to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for meetkai/functionary-small-v2.2-GGUF to start chatting

Atomic Chat new
Docker Model Runner
How to use meetkai/functionary-small-v2.2-GGUF with Docker Model Runner:
```
docker model run hf.co/meetkai/functionary-small-v2.2-GGUF:F16
```

Lemonade

How to use meetkai/functionary-small-v2.2-GGUF with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull meetkai/functionary-small-v2.2-GGUF:F16

Run and chat with the model

lemonade run user.functionary-small-v2.2-GGUF-F16

List all available models

lemonade list

License

by freQuensy23 - opened Feb 18, 2024

Discussion

freQuensy23

Feb 18, 2024

Your code on github distributed under MIT license, but you don't add license file to your model cards and your model's licenses is undefined.

If your models is "fully opensource analogs of GPT-4" please add MIT license file to your model card (or another license that you consider acceptable)
Thanks

freQuensy23

Feb 18, 2024

[DUPLICATE OF https://huggingface.co/meetkai/functionary-small-v2.2-GGUF/discussions/3]

freQuensy23 changed discussion status to closed Feb 18, 2024

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