Instructions to use haijian06/Yi-Coder-9B-Chat-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use haijian06/Yi-Coder-9B-Chat-GGUF with llama-cpp-python:

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="haijian06/Yi-Coder-9B-Chat-GGUF",
	filename="Yi-Coder-9B-Chat-BF16.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 haijian06/Yi-Coder-9B-Chat-GGUF with llama.cpp:

Install from brew

brew install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf haijian06/Yi-Coder-9B-Chat-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama-cli -hf haijian06/Yi-Coder-9B-Chat-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 haijian06/Yi-Coder-9B-Chat-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama-cli -hf haijian06/Yi-Coder-9B-Chat-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 haijian06/Yi-Coder-9B-Chat-GGUF:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf haijian06/Yi-Coder-9B-Chat-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 haijian06/Yi-Coder-9B-Chat-GGUF:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf haijian06/Yi-Coder-9B-Chat-GGUF:Q4_K_M

Use Docker

docker model run hf.co/haijian06/Yi-Coder-9B-Chat-GGUF:Q4_K_M

LM Studio
Jan
Ollama
How to use haijian06/Yi-Coder-9B-Chat-GGUF with Ollama:
```
ollama run hf.co/haijian06/Yi-Coder-9B-Chat-GGUF:Q4_K_M
```

Unsloth Studio new

How to use haijian06/Yi-Coder-9B-Chat-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 haijian06/Yi-Coder-9B-Chat-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 haijian06/Yi-Coder-9B-Chat-GGUF to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for haijian06/Yi-Coder-9B-Chat-GGUF to start chatting

Docker Model Runner
How to use haijian06/Yi-Coder-9B-Chat-GGUF with Docker Model Runner:
```
docker model run hf.co/haijian06/Yi-Coder-9B-Chat-GGUF:Q4_K_M
```

Lemonade

How to use haijian06/Yi-Coder-9B-Chat-GGUF with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull haijian06/Yi-Coder-9B-Chat-GGUF:Q4_K_M

Run and chat with the model

lemonade run user.Yi-Coder-9B-Chat-GGUF-Q4_K_M

List all available models

lemonade list

Yi-Coder-9B-Chat GGUF Model

This repository contains the GGUF version of the Yi-Coder-9B-Chat model. This quantized version allows for efficient inference on a wide range of hardware.

Original model: 01-ai/Yi-Coder-9B-Chat

Model Description

Yi-Coder-9B-Chat is a powerful language model specifically designed for coding tasks and chat interactions. This GGUF version maintains the model's capabilities while offering improved performance and reduced resource requirements.

Usage

You can use this model with popular inference frameworks such as llama.cpp or Ollama. Below are instructions for using the model with llama.cpp.

Using with llama.cpp

Clone and build llama.cpp following their installation instructions.
Download the GGUF model file from this repository.
Run the model using the following command:

cd llama.cpp/build_cuda/bin
./llama-cli -m /path/to/Yi-Coder-9B-Chat-BF16.gguf -n -1 --color -r "User:" --in-prefix " " -i -e -p "User: Hi"

Replace /path/to/Yi-Coder-9B-Chat-BF16.gguf with the actual path to the downloaded model file.

This command starts an interactive session with the model. You can type your prompts after the "User:" prefix.

Using with Ollama

Ollama provides an easy-to-use interface for running large language models. Follow the Ollama documentation to set up and use this model.

License

This model is released under the Apache 2.0 License. Please see the LICENSE file in this repository for full details.

Acknowledgements

This model is based on the Yi-Coder-9B-Chat model. We acknowledge the original creators and contributors of the base model.

Issues and Contributions

If you encounter any issues or have suggestions for improvements, please open an issue in this repository. Contributions are welcome!

Happy coding with Yi-Coder-9B-Chat GGUF!

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GGUF

Model size

9B params

Architecture

llama

Hardware compatibility

3-bit

4-bit

5-bit

6-bit

8-bit

16-bit

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