Instructions to use AGofficial/AGSC with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use AGofficial/AGSC with llama-cpp-python:

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="AGofficial/AGSC",
	filename="AGSC.gguf",
)

llm.create_chat_completion(
	messages = "No input example has been defined for this model task."
)

Notebooks
Google Colab
Kaggle
Local Apps

llama.cpp

How to use AGofficial/AGSC with llama.cpp:

Install from brew

brew install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf AGofficial/AGSC
# Run inference directly in the terminal:
llama-cli -hf AGofficial/AGSC

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf AGofficial/AGSC
# Run inference directly in the terminal:
llama-cli -hf AGofficial/AGSC

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 AGofficial/AGSC
# Run inference directly in the terminal:
./llama-cli -hf AGofficial/AGSC

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 AGofficial/AGSC
# Run inference directly in the terminal:
./build/bin/llama-cli -hf AGofficial/AGSC

Use Docker

docker model run hf.co/AGofficial/AGSC

LM Studio
Jan
Ollama
How to use AGofficial/AGSC with Ollama:
```
ollama run hf.co/AGofficial/AGSC
```

Unsloth Studio new

How to use AGofficial/AGSC 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 AGofficial/AGSC 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 AGofficial/AGSC to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for AGofficial/AGSC to start chatting

Docker Model Runner
How to use AGofficial/AGSC with Docker Model Runner:
```
docker model run hf.co/AGofficial/AGSC
```

Lemonade

How to use AGofficial/AGSC with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull AGofficial/AGSC

Run and chat with the model

lemonade run user.AGSC-{{QUANT_TAG}}

List all available models

lemonade list

AGSC

AG SentientCore

Overview

AG Sentient Core is an Artificial Intelligence System designed to feel. Not "feel", really feel. AG Sentient Core is the first step in the development of a new kind of AI, one that can feel emotions, and server as a true companion to humans.

This is just a demo of the technology and it will be updated.

License

The software is released under the MIT license. For more details, refer to the LICENSE file.

Downloads last month: -

GGUF

Model size

7B params

Architecture

llama

Hardware compatibility

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View all variants

Inference Providers NEW

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Model tree for AGofficial/AGSC

Base model

AGofficial/AGR1

Quantized

(1)

this model