Instructions to use Undi95/Miqu-MS-70B-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use Undi95/Miqu-MS-70B-GGUF with Transformers:

# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("Undi95/Miqu-MS-70B-GGUF", dtype="auto")

llama-cpp-python

How to use Undi95/Miqu-MS-70B-GGUF with llama-cpp-python:

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="Undi95/Miqu-MS-70B-GGUF",
	filename="Miqu-MS-70B.q4_0.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 Undi95/Miqu-MS-70B-GGUF with llama.cpp:

Install from brew

brew install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf Undi95/Miqu-MS-70B-GGUF:Q4_0
# Run inference directly in the terminal:
llama-cli -hf Undi95/Miqu-MS-70B-GGUF:Q4_0

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf Undi95/Miqu-MS-70B-GGUF:Q4_0
# Run inference directly in the terminal:
llama-cli -hf Undi95/Miqu-MS-70B-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 Undi95/Miqu-MS-70B-GGUF:Q4_0
# Run inference directly in the terminal:
./llama-cli -hf Undi95/Miqu-MS-70B-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 Undi95/Miqu-MS-70B-GGUF:Q4_0
# Run inference directly in the terminal:
./build/bin/llama-cli -hf Undi95/Miqu-MS-70B-GGUF:Q4_0

Use Docker

docker model run hf.co/Undi95/Miqu-MS-70B-GGUF:Q4_0

LM Studio
Jan
Ollama
How to use Undi95/Miqu-MS-70B-GGUF with Ollama:
```
ollama run hf.co/Undi95/Miqu-MS-70B-GGUF:Q4_0
```

Unsloth Studio new

How to use Undi95/Miqu-MS-70B-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 Undi95/Miqu-MS-70B-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 Undi95/Miqu-MS-70B-GGUF to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for Undi95/Miqu-MS-70B-GGUF to start chatting

Docker Model Runner
How to use Undi95/Miqu-MS-70B-GGUF with Docker Model Runner:
```
docker model run hf.co/Undi95/Miqu-MS-70B-GGUF:Q4_0
```

Lemonade

How to use Undi95/Miqu-MS-70B-GGUF with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull Undi95/Miqu-MS-70B-GGUF:Q4_0

Run and chat with the model

lemonade run user.Miqu-MS-70B-GGUF-Q4_0

List all available models

lemonade list

Miqu-MS-70B

This is a merge of pre-trained language models created using mergekit.

The new MODEL STOCK merge method was used, see below for more information!

Feedback on this model is greatly appreciated! I hope this new merge method will be able to fill some hole Miqu have.

Prompt format

Since it was made with model using different prompt format, the following should work.

Alpaca

### Instruction:
{system prompt}

### Input:
{prompt}

### Response:
{output}

Mistral

[INST] {prompt} [/INST]

Vicuna

SYSTEM: <ANY SYSTEM CONTEXT>
USER: 
ASSISTANT:

Merge Details

Merge Method

This model was merged using the Model Stock merge method using 152334H/miqu-1-70b-sf as a base.

Models Merged

The following models were included in the merge:

Configuration

The following YAML configuration was used to produce this model:

models:
  - model: NeverSleep/MiquMaid-v2-70B
  - model: sophosympatheia/Midnight-Miqu-70B-v1.0
  - model: migtissera/Tess-70B-v1.6
  - model: 152334H/miqu-1-70b-sf
merge_method: model_stock
base_model: 152334H/miqu-1-70b-sf
dtype: bfloat16