Instructions to use Nitrals-Quants/Irixxed-Magcap-12B-Slerp-Q8_0-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use Nitrals-Quants/Irixxed-Magcap-12B-Slerp-Q8_0-GGUF with Transformers:

# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("Nitrals-Quants/Irixxed-Magcap-12B-Slerp-Q8_0-GGUF", device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

llama.cpp

How to use Nitrals-Quants/Irixxed-Magcap-12B-Slerp-Q8_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 Nitrals-Quants/Irixxed-Magcap-12B-Slerp-Q8_0-GGUF:Q8_0
# Run inference directly in the terminal:
llama cli -hf Nitrals-Quants/Irixxed-Magcap-12B-Slerp-Q8_0-GGUF:Q8_0

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf Nitrals-Quants/Irixxed-Magcap-12B-Slerp-Q8_0-GGUF:Q8_0
# Run inference directly in the terminal:
llama cli -hf Nitrals-Quants/Irixxed-Magcap-12B-Slerp-Q8_0-GGUF:Q8_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 Nitrals-Quants/Irixxed-Magcap-12B-Slerp-Q8_0-GGUF:Q8_0
# Run inference directly in the terminal:
./llama-cli -hf Nitrals-Quants/Irixxed-Magcap-12B-Slerp-Q8_0-GGUF:Q8_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 Nitrals-Quants/Irixxed-Magcap-12B-Slerp-Q8_0-GGUF:Q8_0
# Run inference directly in the terminal:
./build/bin/llama-cli -hf Nitrals-Quants/Irixxed-Magcap-12B-Slerp-Q8_0-GGUF:Q8_0

Use Docker

docker model run hf.co/Nitrals-Quants/Irixxed-Magcap-12B-Slerp-Q8_0-GGUF:Q8_0

LM Studio
Jan
Ollama
How to use Nitrals-Quants/Irixxed-Magcap-12B-Slerp-Q8_0-GGUF with Ollama:
```
ollama run hf.co/Nitrals-Quants/Irixxed-Magcap-12B-Slerp-Q8_0-GGUF:Q8_0
```
Unsloth Desktop
Docker Model Runner
How to use Nitrals-Quants/Irixxed-Magcap-12B-Slerp-Q8_0-GGUF with Docker Model Runner:
```
docker model run hf.co/Nitrals-Quants/Irixxed-Magcap-12B-Slerp-Q8_0-GGUF:Q8_0
```

Lemonade

How to use Nitrals-Quants/Irixxed-Magcap-12B-Slerp-Q8_0-GGUF with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull Nitrals-Quants/Irixxed-Magcap-12B-Slerp-Q8_0-GGUF:Q8_0

Run and chat with the model

lemonade run user.Irixxed-Magcap-12B-Slerp-Q8_0-GGUF-Q8_0

List all available models

lemonade list

Atomic Chat

Irixxed-Magcap-12B-Slerp-Q8_0-GGUF / irixxed-magcap-12b-slerp-q8_0.gguf

Nitral-AI

Upload irixxed-magcap-12b-slerp-q8_0.gguf with huggingface_hub

8ec0565 verified about 1 year ago

Download

History Blame GGUF Editor new Delete

13 GB

This file is stored with Xet . It is too big to display, but you can still download it.

Xet Pointer Details

( Raw pointer file )

Xet hash:: d6ba8042c0a94ee0737c467584449c10d7108f38d52d136762dd2adbe5dd81e8
Size of remote file:: 13 GB
SHA256:: ea044448058566bcb64c681195a32040b7aa1663af634d496ee2ecff129325b6

Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.