Instructions to use yuuko-eth/Monsoon-7B-exp-1-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Notebooks
Google Colab
Kaggle
Local Apps Settings

How to use yuuko-eth/Monsoon-7B-exp-1-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 yuuko-eth/Monsoon-7B-exp-1-GGUF:Q4_0
# Run inference directly in the terminal:
llama cli -hf yuuko-eth/Monsoon-7B-exp-1-GGUF:Q4_0

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf yuuko-eth/Monsoon-7B-exp-1-GGUF:Q4_0
# Run inference directly in the terminal:
llama cli -hf yuuko-eth/Monsoon-7B-exp-1-GGUF:Q4_0

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 yuuko-eth/Monsoon-7B-exp-1-GGUF:Q4_0
# Run inference directly in the terminal:
./llama-cli -hf yuuko-eth/Monsoon-7B-exp-1-GGUF:Q4_0

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 yuuko-eth/Monsoon-7B-exp-1-GGUF:Q4_0
# Run inference directly in the terminal:
./build/bin/llama-cli -hf yuuko-eth/Monsoon-7B-exp-1-GGUF:Q4_0

Use Docker

docker model run hf.co/yuuko-eth/Monsoon-7B-exp-1-GGUF:Q4_0

LM Studio
Jan

vLLM

How to use yuuko-eth/Monsoon-7B-exp-1-GGUF with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "yuuko-eth/Monsoon-7B-exp-1-GGUF"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "yuuko-eth/Monsoon-7B-exp-1-GGUF",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/yuuko-eth/Monsoon-7B-exp-1-GGUF:Q4_0

Ollama
How to use yuuko-eth/Monsoon-7B-exp-1-GGUF with Ollama:
```
ollama run hf.co/yuuko-eth/Monsoon-7B-exp-1-GGUF:Q4_0
```
Unsloth Desktop
Docker Model Runner
How to use yuuko-eth/Monsoon-7B-exp-1-GGUF with Docker Model Runner:
```
docker model run hf.co/yuuko-eth/Monsoon-7B-exp-1-GGUF:Q4_0
```

Lemonade

How to use yuuko-eth/Monsoon-7B-exp-1-GGUF with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull yuuko-eth/Monsoon-7B-exp-1-GGUF:Q4_0

Run and chat with the model

lemonade run user.Monsoon-7B-exp-1-GGUF-Q4_0

List all available models

lemonade list

Atomic Chat

Monsoon-7B-exp-1

Model creator: yuuko-eth
Original model: Monsoon-7B-exp-1

Description

This repo contains GGUF format model files for Monsoon-7B-exp-1.

About GGUF

GGUF is a new format introduced by the llama.cpp team on August 21st 2023. It is a replacement for GGML, which is no longer supported by llama.cpp. Here is an incomplete list of clients and libraries that are known to support GGUF:

llama.cpp. The source project for GGUF. Offers a CLI and a server option.
text-generation-webui, the most widely used web UI, with many features and powerful extensions. Supports GPU acceleration.
KoboldCpp, a fully featured web UI, with GPU accel across all platforms and GPU architectures. Especially good for story telling.
GPT4All, a free and open source local running GUI, supporting Windows, Linux and macOS with full GPU accel.
LM Studio, an easy-to-use and powerful local GUI for Windows and macOS (Silicon), with GPU acceleration. Linux available, in beta as of 27/11/2023.
LoLLMS Web UI, a great web UI with many interesting and unique features, including a full model library for easy model selection.
Faraday.dev, an attractive and easy to use character-based chat GUI for Windows and macOS (both Silicon and Intel), with GPU acceleration.
llama-cpp-python, a Python library with GPU accel, LangChain support, and OpenAI-compatible API server.
candle, a Rust ML framework with a focus on performance, including GPU support, and ease of use.
ctransformers, a Python library with GPU accel, LangChain support, and OpenAI-compatible AI server. Note, as of time of writing (November 27th 2023), ctransformers has not been updated in a long time and does not support many recent models.

Original README.MD is as follows.

雨季 7B exp-1

Breeze 7B Instruct 與 Silicon-Maid-7B (角扮用) 的 dare-ties merge 試驗性模型。

請用 Silicon-Maid-7B 或是 Breeze-7B-Instruct 所推薦的 Prompt 格式進行操作；以下為模型配置。

Monsoon 7B exp-1

This is an experimental Mixtral-architecture DARE-TIES merge model of 2x 7B sized fine-tunes. Breeze and Silicon Maid are used together.

Model configuration is as follows:

Breeze-7B-Instruct as base.
Silicon-Maid-7B as model 1.

To use the model, please use either prompt templates suggested by the base models.

Merge Method

This model was merged using the DARE TIES merge method.

Downloads last month: 50

GGUF

Model size

7B params

Architecture

llama

Hardware compatibility

4-bit

5-bit

6-bit

8-bit

Papers for yuuko-eth/Monsoon-7B-exp-1-GGUF

Language Models are Super Mario: Absorbing Abilities from Homologous Models as a Free Lunch

Paper • 2311.03099 • Published Nov 6, 2023 • 38

Resolving Interference When Merging Models

Paper • 2306.01708 • Published Jun 2, 2023 • 19