Instructions to use rodrigomt/s2-pro-gguf with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use rodrigomt/s2-pro-gguf with llama-cpp-python:

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="rodrigomt/s2-pro-gguf",
	filename="s2-pro-f16.gguf",
)

output = llm(
	"Once upon a time,",
	max_tokens=512,
	echo=True
)
print(output)

Notebooks
Google Colab
Kaggle
Local Apps

llama.cpp

How to use rodrigomt/s2-pro-gguf with llama.cpp:

Install from brew

brew install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf rodrigomt/s2-pro-gguf:Q4_K_M
# Run inference directly in the terminal:
llama-cli -hf rodrigomt/s2-pro-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 rodrigomt/s2-pro-gguf:Q4_K_M
# Run inference directly in the terminal:
llama-cli -hf rodrigomt/s2-pro-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 rodrigomt/s2-pro-gguf:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf rodrigomt/s2-pro-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 rodrigomt/s2-pro-gguf:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf rodrigomt/s2-pro-gguf:Q4_K_M

Use Docker

docker model run hf.co/rodrigomt/s2-pro-gguf:Q4_K_M

LM Studio
Jan
Ollama
How to use rodrigomt/s2-pro-gguf with Ollama:
```
ollama run hf.co/rodrigomt/s2-pro-gguf:Q4_K_M
```

Unsloth Studio new

How to use rodrigomt/s2-pro-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 rodrigomt/s2-pro-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 rodrigomt/s2-pro-gguf to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for rodrigomt/s2-pro-gguf to start chatting

Docker Model Runner
How to use rodrigomt/s2-pro-gguf with Docker Model Runner:
```
docker model run hf.co/rodrigomt/s2-pro-gguf:Q4_K_M
```

Lemonade

How to use rodrigomt/s2-pro-gguf with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull rodrigomt/s2-pro-gguf:Q4_K_M

Run and chat with the model

lemonade run user.s2-pro-gguf-Q4_K_M

List all available models

lemonade list

there is no output with s2.exe, neither error nor log.

by X5R - opened Mar 19

Discussion

X5R

Mar 19

•

edited Mar 19

s2.exe -h is also none. This is my building ps1:

$env:LIB = @(
    "C:\Program Files (x86)\Windows Kits\10\Lib\10.0.26100.0\um\x64\"
    "C:\Program Files (x86)\Microsoft Visual Studio\Community\VC\Tools\MSVC\14.50.35717\lib\x64"
    "C:\Program Files (x86)\Windows Kits\10\Lib\10.0.26100.0\ucrt\x64\"
) -join ";"
$env:INCLUDE = @(
    "C:\Program Files (x86)\Microsoft Visual Studio\Community\VC\Tools\MSVC\14.50.35717\include"
    "C:\Program Files (x86)\Windows Kits\10\Include\10.0.26100.0\ucrt"
    "C:\Program Files (x86)\Windows Kits\10\Include\10.0.26100.0\um"
    "C:\Program Files (x86)\Windows Kits\10\Include\10.0.26100.0\shared"
) -join ";"
cmake -B build -G Ninja -DCMAKE_BUILD_TYPE=Release `
-DCMAKE_MAKE_PROGRAM="$PWD/ninja.exe" -DS2_CUDA=ON `
-DGGML_CUDA=ON -DCMAKE_CUDA_ARCHITECTURES="89-real" `
-DCMAKE_CUDA_COMPILER="C:/Program Files/NVIDIA Corporation/CUDA/bin/nvcc.exe" `
-DCMAKE_CUDA_HOST_COMPILER="C:/Program Files (x86)/Microsoft Visual Studio/Community/VC/Tools/MSVC/14.50.35717/bin/Hostx64/x64/cl.exe" `
-DCMAKE_RC_COMPILER="C:/Program Files (x86)/Windows Kits/10/bin/10.0.26100.0/x64/rc.exe" `
-DCMAKE_MT="C:/Program Files (x86)/Windows Kits/10/bin/10.0.26100.0/x64/mt.exe" `
-DCMAKE_CUDA_FLAGS="--extended-lambda --allow-unsupported-compiler"
cmake --build build --config Release

build with nvcc V13.1.115, cuda_13.1.r13.1, ninja 1.13.2

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