Instructions to use mradermacher/Meidebenne-120b-v1.0-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use mradermacher/Meidebenne-120b-v1.0-GGUF with Transformers:

# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("mradermacher/Meidebenne-120b-v1.0-GGUF", device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

llama.cpp

How to use mradermacher/Meidebenne-120b-v1.0-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 mradermacher/Meidebenne-120b-v1.0-GGUF:IQ3_XS
# Run inference directly in the terminal:
llama cli -hf mradermacher/Meidebenne-120b-v1.0-GGUF:IQ3_XS

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf mradermacher/Meidebenne-120b-v1.0-GGUF:IQ3_XS
# Run inference directly in the terminal:
llama cli -hf mradermacher/Meidebenne-120b-v1.0-GGUF:IQ3_XS

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 mradermacher/Meidebenne-120b-v1.0-GGUF:IQ3_XS
# Run inference directly in the terminal:
./llama-cli -hf mradermacher/Meidebenne-120b-v1.0-GGUF:IQ3_XS

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 mradermacher/Meidebenne-120b-v1.0-GGUF:IQ3_XS
# Run inference directly in the terminal:
./build/bin/llama-cli -hf mradermacher/Meidebenne-120b-v1.0-GGUF:IQ3_XS

Use Docker

docker model run hf.co/mradermacher/Meidebenne-120b-v1.0-GGUF:IQ3_XS

LM Studio
Jan
Ollama
How to use mradermacher/Meidebenne-120b-v1.0-GGUF with Ollama:
```
ollama run hf.co/mradermacher/Meidebenne-120b-v1.0-GGUF:IQ3_XS
```
Unsloth Desktop
Docker Model Runner
How to use mradermacher/Meidebenne-120b-v1.0-GGUF with Docker Model Runner:
```
docker model run hf.co/mradermacher/Meidebenne-120b-v1.0-GGUF:IQ3_XS
```

Lemonade

How to use mradermacher/Meidebenne-120b-v1.0-GGUF with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull mradermacher/Meidebenne-120b-v1.0-GGUF:IQ3_XS

Run and chat with the model

lemonade run user.Meidebenne-120b-v1.0-GGUF-IQ3_XS

List all available models

lemonade list

Atomic Chat

mradermacher commited on Mar 15, 2024

Commit

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1	static quants of https://huggingface.co/MatrixC7/Meidebenne-120b-v1.0

+---
+base_model: []
+language:
+- en
+library_name: transformers
+quantized_by: mradermacher
+tags:
+- mergekit
+- merge
+---
+## About
 static quants of https://huggingface.co/MatrixC7/Meidebenne-120b-v1.0
+<!-- provided-files -->
+## Usage
+If you are unsure how to use GGUF files, refer to one of [TheBloke's
+READMEs](https://huggingface.co/TheBloke/KafkaLM-70B-German-V0.1-GGUF) for
+more details, including on how to concatenate multi-part files.
+## Provided Quants
+(sorted by size, not necessarily quality. IQ-quants are often preferable over similar sized non-IQ quants)
+| Link | Type | Size/GB | Notes |
+|:-----|:-----|--------:|:------|
+| [GGUF](https://huggingface.co/mradermacher/Meidebenne-120b-v1.0-GGUF/resolve/main/Meidebenne-120b-v1.0.Q2_K.gguf) | Q2_K | 44.6 |  |
+| [PART 1](https://huggingface.co/mradermacher/Meidebenne-120b-v1.0-GGUF/resolve/main/Meidebenne-120b-v1.0.Q3_K_S.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/Meidebenne-120b-v1.0-GGUF/resolve/main/Meidebenne-120b-v1.0.Q3_K_S.gguf.part2of2) | Q3_K_S | 52.2 |  |
+| [PART 1](https://huggingface.co/mradermacher/Meidebenne-120b-v1.0-GGUF/resolve/main/Meidebenne-120b-v1.0.Q3_K_M.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/Meidebenne-120b-v1.0-GGUF/resolve/main/Meidebenne-120b-v1.0.Q3_K_M.gguf.part2of2) | Q3_K_M | 58.2 | lower quality |
+| [PART 1](https://huggingface.co/mradermacher/Meidebenne-120b-v1.0-GGUF/resolve/main/Meidebenne-120b-v1.0.Q3_K_L.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/Meidebenne-120b-v1.0-GGUF/resolve/main/Meidebenne-120b-v1.0.Q3_K_L.gguf.part2of2) | Q3_K_L | 63.4 |  |
+| [PART 1](https://huggingface.co/mradermacher/Meidebenne-120b-v1.0-GGUF/resolve/main/Meidebenne-120b-v1.0.Q4_K_S.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/Meidebenne-120b-v1.0-GGUF/resolve/main/Meidebenne-120b-v1.0.Q4_K_S.gguf.part2of2) | Q4_K_S | 68.7 | fast, medium quality |
+| [PART 1](https://huggingface.co/mradermacher/Meidebenne-120b-v1.0-GGUF/resolve/main/Meidebenne-120b-v1.0.Q4_K_M.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/Meidebenne-120b-v1.0-GGUF/resolve/main/Meidebenne-120b-v1.0.Q4_K_M.gguf.part2of2) | Q4_K_M | 72.6 | fast, medium quality |
+| [PART 1](https://huggingface.co/mradermacher/Meidebenne-120b-v1.0-GGUF/resolve/main/Meidebenne-120b-v1.0.Q5_K_S.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/Meidebenne-120b-v1.0-GGUF/resolve/main/Meidebenne-120b-v1.0.Q5_K_S.gguf.part2of2) | Q5_K_S | 83.2 |  |
+| [PART 1](https://huggingface.co/mradermacher/Meidebenne-120b-v1.0-GGUF/resolve/main/Meidebenne-120b-v1.0.Q5_K_M.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/Meidebenne-120b-v1.0-GGUF/resolve/main/Meidebenne-120b-v1.0.Q5_K_M.gguf.part2of2) | Q5_K_M | 85.4 |  |
+| [PART 1](https://huggingface.co/mradermacher/Meidebenne-120b-v1.0-GGUF/resolve/main/Meidebenne-120b-v1.0.Q6_K.gguf.part1of3) [PART 2](https://huggingface.co/mradermacher/Meidebenne-120b-v1.0-GGUF/resolve/main/Meidebenne-120b-v1.0.Q6_K.gguf.part2of3) [PART 3](https://huggingface.co/mradermacher/Meidebenne-120b-v1.0-GGUF/resolve/main/Meidebenne-120b-v1.0.Q6_K.gguf.part3of3) | Q6_K | 99.1 | very good quality |
+| [PART 1](https://huggingface.co/mradermacher/Meidebenne-120b-v1.0-GGUF/resolve/main/Meidebenne-120b-v1.0.Q8_0.gguf.part1of3) [PART 2](https://huggingface.co/mradermacher/Meidebenne-120b-v1.0-GGUF/resolve/main/Meidebenne-120b-v1.0.Q8_0.gguf.part2of3) [PART 3](https://huggingface.co/mradermacher/Meidebenne-120b-v1.0-GGUF/resolve/main/Meidebenne-120b-v1.0.Q8_0.gguf.part3of3) | Q8_0 | 128.2 | fast, best quality |
+Here is a handy graph by ikawrakow comparing some lower-quality quant
+types (lower is better):
+![image.png](https://www.nethype.de/huggingface_embed/quantpplgraph.png)
+And here are Artefact2's thoughts on the matter:
+https://gist.github.com/Artefact2/b5f810600771265fc1e39442288e8ec9
+## Thanks
+I thank my company, [nethype GmbH](https://www.nethype.de/), for letting
+me use its servers and providing upgrades to my workstation to enable
+this work in my free time.
+<!-- end -->