Instructions to use mradermacher/ICONN-1-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use mradermacher/ICONN-1-GGUF with Transformers:

# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("mradermacher/ICONN-1-GGUF", device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

llama.cpp

How to use mradermacher/ICONN-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 mradermacher/ICONN-1-GGUF:Q4_K_S
# Run inference directly in the terminal:
llama cli -hf mradermacher/ICONN-1-GGUF:Q4_K_S

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf mradermacher/ICONN-1-GGUF:Q4_K_S
# Run inference directly in the terminal:
llama cli -hf mradermacher/ICONN-1-GGUF:Q4_K_S

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/ICONN-1-GGUF:Q4_K_S
# Run inference directly in the terminal:
./llama-cli -hf mradermacher/ICONN-1-GGUF:Q4_K_S

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/ICONN-1-GGUF:Q4_K_S
# Run inference directly in the terminal:
./build/bin/llama-cli -hf mradermacher/ICONN-1-GGUF:Q4_K_S

Use Docker

docker model run hf.co/mradermacher/ICONN-1-GGUF:Q4_K_S

LM Studio
Jan
Ollama
How to use mradermacher/ICONN-1-GGUF with Ollama:
```
ollama run hf.co/mradermacher/ICONN-1-GGUF:Q4_K_S
```

Unsloth Studio

How to use mradermacher/ICONN-1-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 mradermacher/ICONN-1-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 mradermacher/ICONN-1-GGUF to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for mradermacher/ICONN-1-GGUF to start chatting

Docker Model Runner
How to use mradermacher/ICONN-1-GGUF with Docker Model Runner:
```
docker model run hf.co/mradermacher/ICONN-1-GGUF:Q4_K_S
```

Lemonade

How to use mradermacher/ICONN-1-GGUF with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull mradermacher/ICONN-1-GGUF:Q4_K_S

Run and chat with the model

lemonade run user.ICONN-1-GGUF-Q4_K_S

List all available models

lemonade list

Atomic Chat

mradermacher commited on Jun 20, 2025

Commit

56d4ab5

verified ·

1 Parent(s): 82731b7

auto-patch README.md

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README.md CHANGED Viewed

@@ -65,6 +65,7 @@ more details, including on how to concatenate multi-part files.
 | [GGUF](https://huggingface.co/mradermacher/ICONN-1-GGUF/resolve/main/ICONN-1.Q3_K_S.gguf) | Q3_K_S | 36.5 |  |
 | [GGUF](https://huggingface.co/mradermacher/ICONN-1-GGUF/resolve/main/ICONN-1.Q3_K_M.gguf) | Q3_K_M | 40.3 | lower quality |
 | [GGUF](https://huggingface.co/mradermacher/ICONN-1-GGUF/resolve/main/ICONN-1.Q3_K_L.gguf) | Q3_K_L | 43.6 |  |
 | [GGUF](https://huggingface.co/mradermacher/ICONN-1-GGUF/resolve/main/ICONN-1.Q4_K_S.gguf) | Q4_K_S | 47.9 | fast, recommended |
 | [PART 1](https://huggingface.co/mradermacher/ICONN-1-GGUF/resolve/main/ICONN-1.Q4_K_M.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/ICONN-1-GGUF/resolve/main/ICONN-1.Q4_K_M.gguf.part2of2) | Q4_K_M | 51.0 | fast, recommended |
 | [PART 1](https://huggingface.co/mradermacher/ICONN-1-GGUF/resolve/main/ICONN-1.Q5_K_S.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/ICONN-1-GGUF/resolve/main/ICONN-1.Q5_K_S.gguf.part2of2) | Q5_K_S | 57.9 |  |

 | [GGUF](https://huggingface.co/mradermacher/ICONN-1-GGUF/resolve/main/ICONN-1.Q3_K_S.gguf) | Q3_K_S | 36.5 |  |
 | [GGUF](https://huggingface.co/mradermacher/ICONN-1-GGUF/resolve/main/ICONN-1.Q3_K_M.gguf) | Q3_K_M | 40.3 | lower quality |
 | [GGUF](https://huggingface.co/mradermacher/ICONN-1-GGUF/resolve/main/ICONN-1.Q3_K_L.gguf) | Q3_K_L | 43.6 |  |
+| [GGUF](https://huggingface.co/mradermacher/ICONN-1-GGUF/resolve/main/ICONN-1.IQ4_XS.gguf) | IQ4_XS | 45.5 |  |
 | [GGUF](https://huggingface.co/mradermacher/ICONN-1-GGUF/resolve/main/ICONN-1.Q4_K_S.gguf) | Q4_K_S | 47.9 | fast, recommended |
 | [PART 1](https://huggingface.co/mradermacher/ICONN-1-GGUF/resolve/main/ICONN-1.Q4_K_M.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/ICONN-1-GGUF/resolve/main/ICONN-1.Q4_K_M.gguf.part2of2) | Q4_K_M | 51.0 | fast, recommended |
 | [PART 1](https://huggingface.co/mradermacher/ICONN-1-GGUF/resolve/main/ICONN-1.Q5_K_S.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/ICONN-1-GGUF/resolve/main/ICONN-1.Q5_K_S.gguf.part2of2) | Q5_K_S | 57.9 |  |