Instructions to use knifeayumu/Lite-Cydonia-22B-v1.1-75-25-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use knifeayumu/Lite-Cydonia-22B-v1.1-75-25-GGUF with Transformers:

# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("knifeayumu/Lite-Cydonia-22B-v1.1-75-25-GGUF", dtype="auto")

llama-cpp-python

How to use knifeayumu/Lite-Cydonia-22B-v1.1-75-25-GGUF with llama-cpp-python:

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="knifeayumu/Lite-Cydonia-22B-v1.1-75-25-GGUF",
	filename="Lite-Cydonia-22B-v1.1-75-25-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 knifeayumu/Lite-Cydonia-22B-v1.1-75-25-GGUF with llama.cpp:

Install from brew

brew install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf knifeayumu/Lite-Cydonia-22B-v1.1-75-25-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama-cli -hf knifeayumu/Lite-Cydonia-22B-v1.1-75-25-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 knifeayumu/Lite-Cydonia-22B-v1.1-75-25-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama-cli -hf knifeayumu/Lite-Cydonia-22B-v1.1-75-25-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 knifeayumu/Lite-Cydonia-22B-v1.1-75-25-GGUF:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf knifeayumu/Lite-Cydonia-22B-v1.1-75-25-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 knifeayumu/Lite-Cydonia-22B-v1.1-75-25-GGUF:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf knifeayumu/Lite-Cydonia-22B-v1.1-75-25-GGUF:Q4_K_M

Use Docker

docker model run hf.co/knifeayumu/Lite-Cydonia-22B-v1.1-75-25-GGUF:Q4_K_M

LM Studio
Jan
Ollama
How to use knifeayumu/Lite-Cydonia-22B-v1.1-75-25-GGUF with Ollama:
```
ollama run hf.co/knifeayumu/Lite-Cydonia-22B-v1.1-75-25-GGUF:Q4_K_M
```

Unsloth Studio

How to use knifeayumu/Lite-Cydonia-22B-v1.1-75-25-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 knifeayumu/Lite-Cydonia-22B-v1.1-75-25-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 knifeayumu/Lite-Cydonia-22B-v1.1-75-25-GGUF to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for knifeayumu/Lite-Cydonia-22B-v1.1-75-25-GGUF to start chatting

Atomic Chat new
Docker Model Runner
How to use knifeayumu/Lite-Cydonia-22B-v1.1-75-25-GGUF with Docker Model Runner:
```
docker model run hf.co/knifeayumu/Lite-Cydonia-22B-v1.1-75-25-GGUF:Q4_K_M
```

Lemonade

How to use knifeayumu/Lite-Cydonia-22B-v1.1-75-25-GGUF with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull knifeayumu/Lite-Cydonia-22B-v1.1-75-25-GGUF:Q4_K_M

Run and chat with the model

lemonade run user.Lite-Cydonia-22B-v1.1-75-25-GGUF-Q4_K_M

List all available models

lemonade list

Lite-Cydonia-22B-v1.1-75-25-GGUF

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---
base_model:
- knifeayumu/Lite-Cydonia-22B-v1.1-75-25
language:
- en
library_name: transformers
license: other
quantized_by: knifeayumu
---

## Llamacpp Quantizations of knifeayumu/Lite-Cydonia-22B-v1.1-75-25

Using [llama.cpp](https://github.com/ggerganov/llama.cpp/) release [b3837](https://github.com/ggerganov/llama.cpp/releases/tag/b3837) for quantization.

Original model: [knifeayumu/Lite-Cydonia-22B-v1.1-75-25](https://huggingface.co/knifeayumu/Lite-Cydonia-22B-v1.1-75-25)


## Quant Types:

| Filename | Quant type | File Size |
| -------- | ---------- | --------- |
| [Lite-Cydonia-22B-v1.1-75-25-F16.gguf](https://huggingface.co/knifeayumu/Lite-Cydonia-22B-v1.1-75-25-GGUF/blob/main/Lite-Cydonia-22B-v1.1-75-25-F16.gguf) | F16 | 41.4GB |
| [Lite-Cydonia-22B-v1.1-75-25-Q8_0.gguf](https://huggingface.co/knifeayumu/Lite-Cydonia-22B-v1.1-75-25-GGUF/blob/main/Lite-Cydonia-22B-v1.1-75-25-Q8_0.gguf) | Q8_0 | 22.0GB |
| [Lite-Cydonia-22B-v1.1-75-25-Q6_K.gguf](https://huggingface.co/knifeayumu/Lite-Cydonia-22B-v1.1-75-25-GGUF/blob/main/Lite-Cydonia-22B-v1.1-75-25-Q6_K.gguf) | Q6_K | 16.9GB |
| [Lite-Cydonia-22B-v1.1-75-25-Q5_K_M.gguf](https://huggingface.co/knifeayumu/Lite-Cydonia-22B-v1.1-75-25-GGUF/blob/main/Lite-Cydonia-22B-v1.1-75-25-Q5_K_M.gguf) | Q5_K_M | 14.6GB |
| [Lite-Cydonia-22B-v1.1-75-25-Q5_K_S.gguf](https://huggingface.co/knifeayumu/Lite-Cydonia-22B-v1.1-75-25-GGUF/blob/main/Lite-Cydonia-22B-v1.1-75-25-Q5_K_S.gguf) | Q5_K_S | 14.2GB |
| [Lite-Cydonia-22B-v1.1-75-25-Q4_K_M.gguf](https://huggingface.co/knifeayumu/Lite-Cydonia-22B-v1.1-75-25-GGUF/blob/main/Lite-Cydonia-22B-v1.1-75-25-Q4_K_M.gguf) | Q4_K_M | 12.4GB |
| [Lite-Cydonia-22B-v1.1-75-25-Q4_K_S.gguf](https://huggingface.co/knifeayumu/Lite-Cydonia-22B-v1.1-75-25-GGUF/blob/main/Lite-Cydonia-22B-v1.1-75-25-Q4_K_S.gguf) | Q4_K_S | 11.7GB |
| [Lite-Cydonia-22B-v1.1-75-25-Q3_K_L.gguf](https://huggingface.co/knifeayumu/Lite-Cydonia-22B-v1.1-75-25-GGUF/blob/main/Lite-Cydonia-22B-v1.1-75-25-Q3_K_L.gguf) | Q3_K_L | 10.9GB |
| [Lite-Cydonia-22B-v1.1-75-25-Q3_K_M.gguf](https://huggingface.co/knifeayumu/Lite-Cydonia-22B-v1.1-75-25-GGUF/blob/main/Lite-Cydonia-22B-v1.1-75-25-Q3_K_M.gguf) | Q3_K_M | 10.0GB |
| [Lite-Cydonia-22B-v1.1-75-25-Q3_K_S.gguf](https://huggingface.co/knifeayumu/Lite-Cydonia-22B-v1.1-75-25-GGUF/blob/main/Lite-Cydonia-22B-v1.1-75-25-Q3_K_S.gguf) | Q3_K_S | 8.97GB |
| [Lite-Cydonia-22B-v1.1-75-25-Q2_K.gguf](https://huggingface.co/knifeayumu/Lite-Cydonia-22B-v1.1-75-25-GGUF/blob/main/Lite-Cydonia-22B-v1.1-75-25-Q2_K.gguf) | Q2_K | 7.70GB |