Instructions to use mradermacher/Triunvirato-7b-i1-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use mradermacher/Triunvirato-7b-i1-GGUF with Transformers:

# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("mradermacher/Triunvirato-7b-i1-GGUF", device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

llama.cpp

How to use mradermacher/Triunvirato-7b-i1-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/Triunvirato-7b-i1-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf mradermacher/Triunvirato-7b-i1-GGUF:Q4_K_M

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf mradermacher/Triunvirato-7b-i1-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf mradermacher/Triunvirato-7b-i1-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 mradermacher/Triunvirato-7b-i1-GGUF:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf mradermacher/Triunvirato-7b-i1-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 mradermacher/Triunvirato-7b-i1-GGUF:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf mradermacher/Triunvirato-7b-i1-GGUF:Q4_K_M

Use Docker

docker model run hf.co/mradermacher/Triunvirato-7b-i1-GGUF:Q4_K_M

LM Studio
Jan
Ollama
How to use mradermacher/Triunvirato-7b-i1-GGUF with Ollama:
```
ollama run hf.co/mradermacher/Triunvirato-7b-i1-GGUF:Q4_K_M
```
Unsloth Desktop
Docker Model Runner
How to use mradermacher/Triunvirato-7b-i1-GGUF with Docker Model Runner:
```
docker model run hf.co/mradermacher/Triunvirato-7b-i1-GGUF:Q4_K_M
```

Lemonade

How to use mradermacher/Triunvirato-7b-i1-GGUF with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull mradermacher/Triunvirato-7b-i1-GGUF:Q4_K_M

Run and chat with the model

lemonade run user.Triunvirato-7b-i1-GGUF-Q4_K_M

List all available models

lemonade list

Atomic Chat

mradermacher commited on Nov 4, 2024

Commit

7398b1c

verified ·

1 Parent(s): d5b52bd

auto-patch README.md

Browse files

Files changed (1) hide show

README.md +2 -0

README.md CHANGED Viewed

@@ -44,7 +44,9 @@ more details, including on how to concatenate multi-part files.
 | [GGUF](https://huggingface.co/mradermacher/Triunvirato-7b-i1-GGUF/resolve/main/Triunvirato-7b.i1-IQ2_M.gguf) | i1-IQ2_M | 2.6 |  |
 | [GGUF](https://huggingface.co/mradermacher/Triunvirato-7b-i1-GGUF/resolve/main/Triunvirato-7b.i1-Q2_K.gguf) | i1-Q2_K | 2.8 | IQ3_XXS probably better |
 | [GGUF](https://huggingface.co/mradermacher/Triunvirato-7b-i1-GGUF/resolve/main/Triunvirato-7b.i1-IQ3_XXS.gguf) | i1-IQ3_XXS | 2.9 | lower quality |
 | [GGUF](https://huggingface.co/mradermacher/Triunvirato-7b-i1-GGUF/resolve/main/Triunvirato-7b.i1-Q3_K_S.gguf) | i1-Q3_K_S | 3.3 | IQ3_XS probably better |
 | [GGUF](https://huggingface.co/mradermacher/Triunvirato-7b-i1-GGUF/resolve/main/Triunvirato-7b.i1-IQ3_M.gguf) | i1-IQ3_M | 3.4 |  |
 | [GGUF](https://huggingface.co/mradermacher/Triunvirato-7b-i1-GGUF/resolve/main/Triunvirato-7b.i1-Q3_K_M.gguf) | i1-Q3_K_M | 3.6 | IQ3_S probably better |
 | [GGUF](https://huggingface.co/mradermacher/Triunvirato-7b-i1-GGUF/resolve/main/Triunvirato-7b.i1-Q3_K_L.gguf) | i1-Q3_K_L | 3.9 | IQ3_M probably better |

 | [GGUF](https://huggingface.co/mradermacher/Triunvirato-7b-i1-GGUF/resolve/main/Triunvirato-7b.i1-IQ2_M.gguf) | i1-IQ2_M | 2.6 |  |
 | [GGUF](https://huggingface.co/mradermacher/Triunvirato-7b-i1-GGUF/resolve/main/Triunvirato-7b.i1-Q2_K.gguf) | i1-Q2_K | 2.8 | IQ3_XXS probably better |
 | [GGUF](https://huggingface.co/mradermacher/Triunvirato-7b-i1-GGUF/resolve/main/Triunvirato-7b.i1-IQ3_XXS.gguf) | i1-IQ3_XXS | 2.9 | lower quality |
+| [GGUF](https://huggingface.co/mradermacher/Triunvirato-7b-i1-GGUF/resolve/main/Triunvirato-7b.i1-IQ3_XS.gguf) | i1-IQ3_XS | 3.1 |  |
 | [GGUF](https://huggingface.co/mradermacher/Triunvirato-7b-i1-GGUF/resolve/main/Triunvirato-7b.i1-Q3_K_S.gguf) | i1-Q3_K_S | 3.3 | IQ3_XS probably better |
+| [GGUF](https://huggingface.co/mradermacher/Triunvirato-7b-i1-GGUF/resolve/main/Triunvirato-7b.i1-IQ3_S.gguf) | i1-IQ3_S | 3.3 | beats Q3_K* |
 | [GGUF](https://huggingface.co/mradermacher/Triunvirato-7b-i1-GGUF/resolve/main/Triunvirato-7b.i1-IQ3_M.gguf) | i1-IQ3_M | 3.4 |  |
 | [GGUF](https://huggingface.co/mradermacher/Triunvirato-7b-i1-GGUF/resolve/main/Triunvirato-7b.i1-Q3_K_M.gguf) | i1-Q3_K_M | 3.6 | IQ3_S probably better |
 | [GGUF](https://huggingface.co/mradermacher/Triunvirato-7b-i1-GGUF/resolve/main/Triunvirato-7b.i1-Q3_K_L.gguf) | i1-Q3_K_L | 3.9 | IQ3_M probably better |