Instructions to use Pinkstack/Superthoughts-lite-v2-MOE-Llama3.2-experimental-0427-Q8_0-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use Pinkstack/Superthoughts-lite-v2-MOE-Llama3.2-experimental-0427-Q8_0-GGUF with llama-cpp-python:

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="Pinkstack/Superthoughts-lite-v2-MOE-Llama3.2-experimental-0427-Q8_0-GGUF",
	filename="superthoughts-lite-v2-moe-llama3.2-experimental-0427-q8_0.gguf",
)

llm.create_chat_completion(
	messages = [
		{
			"role": "user",
			"content": "What is the capital of France?"
		}
	]
)

Notebooks
Google Colab
Kaggle
Local Apps Settings

llama.cpp

How to use Pinkstack/Superthoughts-lite-v2-MOE-Llama3.2-experimental-0427-Q8_0-GGUF with llama.cpp:

Install from brew

brew install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf Pinkstack/Superthoughts-lite-v2-MOE-Llama3.2-experimental-0427-Q8_0-GGUF:Q8_0
# Run inference directly in the terminal:
llama-cli -hf Pinkstack/Superthoughts-lite-v2-MOE-Llama3.2-experimental-0427-Q8_0-GGUF:Q8_0

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf Pinkstack/Superthoughts-lite-v2-MOE-Llama3.2-experimental-0427-Q8_0-GGUF:Q8_0
# Run inference directly in the terminal:
llama-cli -hf Pinkstack/Superthoughts-lite-v2-MOE-Llama3.2-experimental-0427-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 Pinkstack/Superthoughts-lite-v2-MOE-Llama3.2-experimental-0427-Q8_0-GGUF:Q8_0
# Run inference directly in the terminal:
./llama-cli -hf Pinkstack/Superthoughts-lite-v2-MOE-Llama3.2-experimental-0427-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 Pinkstack/Superthoughts-lite-v2-MOE-Llama3.2-experimental-0427-Q8_0-GGUF:Q8_0
# Run inference directly in the terminal:
./build/bin/llama-cli -hf Pinkstack/Superthoughts-lite-v2-MOE-Llama3.2-experimental-0427-Q8_0-GGUF:Q8_0

Use Docker

docker model run hf.co/Pinkstack/Superthoughts-lite-v2-MOE-Llama3.2-experimental-0427-Q8_0-GGUF:Q8_0

LM Studio
Jan

vLLM

How to use Pinkstack/Superthoughts-lite-v2-MOE-Llama3.2-experimental-0427-Q8_0-GGUF with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "Pinkstack/Superthoughts-lite-v2-MOE-Llama3.2-experimental-0427-Q8_0-GGUF"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "Pinkstack/Superthoughts-lite-v2-MOE-Llama3.2-experimental-0427-Q8_0-GGUF",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/Pinkstack/Superthoughts-lite-v2-MOE-Llama3.2-experimental-0427-Q8_0-GGUF:Q8_0

Ollama
How to use Pinkstack/Superthoughts-lite-v2-MOE-Llama3.2-experimental-0427-Q8_0-GGUF with Ollama:
```
ollama run hf.co/Pinkstack/Superthoughts-lite-v2-MOE-Llama3.2-experimental-0427-Q8_0-GGUF:Q8_0
```

Unsloth Studio

How to use Pinkstack/Superthoughts-lite-v2-MOE-Llama3.2-experimental-0427-Q8_0-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 Pinkstack/Superthoughts-lite-v2-MOE-Llama3.2-experimental-0427-Q8_0-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 Pinkstack/Superthoughts-lite-v2-MOE-Llama3.2-experimental-0427-Q8_0-GGUF to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for Pinkstack/Superthoughts-lite-v2-MOE-Llama3.2-experimental-0427-Q8_0-GGUF to start chatting

How to use Pinkstack/Superthoughts-lite-v2-MOE-Llama3.2-experimental-0427-Q8_0-GGUF with Pi:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama-server -hf Pinkstack/Superthoughts-lite-v2-MOE-Llama3.2-experimental-0427-Q8_0-GGUF:Q8_0

Configure the model in Pi

# Install Pi:
npm install -g @mariozechner/pi-coding-agent
# Add to ~/.pi/agent/models.json:
{
  "providers": {
    "llama-cpp": {
      "baseUrl": "http://localhost:8080/v1",
      "api": "openai-completions",
      "apiKey": "none",
      "models": [
        {
          "id": "Pinkstack/Superthoughts-lite-v2-MOE-Llama3.2-experimental-0427-Q8_0-GGUF:Q8_0"
        }
      ]
    }
  }
}

Run Pi

# Start Pi in your project directory:
pi

Hermes Agent new

How to use Pinkstack/Superthoughts-lite-v2-MOE-Llama3.2-experimental-0427-Q8_0-GGUF with Hermes Agent:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama-server -hf Pinkstack/Superthoughts-lite-v2-MOE-Llama3.2-experimental-0427-Q8_0-GGUF:Q8_0

Configure Hermes

# Install Hermes:
curl -fsSL https://hermes-agent.nousresearch.com/install.sh | bash
hermes setup
# Point Hermes at the local server:
hermes config set model.provider custom
hermes config set model.base_url http://127.0.0.1:8080/v1
hermes config set model.default Pinkstack/Superthoughts-lite-v2-MOE-Llama3.2-experimental-0427-Q8_0-GGUF:Q8_0

Run Hermes

hermes

Atomic Chat new
Docker Model Runner
How to use Pinkstack/Superthoughts-lite-v2-MOE-Llama3.2-experimental-0427-Q8_0-GGUF with Docker Model Runner:
```
docker model run hf.co/Pinkstack/Superthoughts-lite-v2-MOE-Llama3.2-experimental-0427-Q8_0-GGUF:Q8_0
```

Lemonade

How to use Pinkstack/Superthoughts-lite-v2-MOE-Llama3.2-experimental-0427-Q8_0-GGUF with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull Pinkstack/Superthoughts-lite-v2-MOE-Llama3.2-experimental-0427-Q8_0-GGUF:Q8_0

Run and chat with the model

lemonade run user.Superthoughts-lite-v2-MOE-Llama3.2-experimental-0427-Q8_0-GGUF-Q8_0

List all available models

lemonade list

Pinkstack/Superthoughts-lite-v2-MOE-Llama3.2-experimental-0427-Q8_0-GGUF

This model was converted to GGUF format from Pinkstack/Superthoughts-lite-v2-MOE-Llama3.2-experimental-0427 using llama.cpp via the ggml.ai's GGUF-my-repo space. Refer to the original model card for more details on the model.

⚠️THIS MODEL IS EXPERIMENTAL!!

After more than two months since the release of superthoughts lite v1, we finally release the new version. v2 Unlike the first generation of superthoughts lite, this model is a MoE (Mixture of experts), of 4 special fine-tuned experts based off of llama-3.2-1B models.

Information

In GGUF Q8_0, the model runs at ~8 tokens per second on a Snapdragon 8 Gen 2 with 12GB of ram, which is faster than Pinkstack/PARM-V2-QwQ-Qwen-2.5-o1-3B-GGUF (which runs at ~5 tokens a second).
The chat expert was fine tuned on 23 different languages for 2 epochs, but the model should still only be used for english-to-english generation.
This model has a total of 3.91B parameters, and 2 experts are active with each token. There is an expert for math, code, general conversations and medical situations.
Long context: the model supports up to 131,072 input tokens, and can generate up to 16,384 tokens.
To enable proper reasoning, set this as the system prompt:

You are Superthoughts lite v2 by Pinkstack, which thinks before answering user questions. always respond in the following format:\n<think>\n(Your thinking process\n</think>\n(Your final output).

⚠️ Due to the nature of an experimental model, it may fall into reasoning loops; users are responsible for all outputs from this model. This experimental model is more of a proof-of-concept for now. It fully works and it has some pretty nice performance, for having less than 2 billion parameters activated per token.

If you have any questions, feel free to open a "New Discussion".

Use with llama.cpp

Install llama.cpp through brew (works on Mac and Linux)

brew install llama.cpp

Invoke the llama.cpp server or the CLI.

CLI:

llama-cli --hf-repo Pinkstack/Superthoughts-lite-v2-MOE-Llama3.2-experimental-0427-Q8_0-GGUF --hf-file superthoughts-lite-v2-moe-llama3.2-experimental-0427-q8_0.gguf -p "The meaning to life and the universe is"

Server:

llama-server --hf-repo Pinkstack/Superthoughts-lite-v2-MOE-Llama3.2-experimental-0427-Q8_0-GGUF --hf-file superthoughts-lite-v2-moe-llama3.2-experimental-0427-q8_0.gguf -c 2048

Downloads last month: 3

GGUF

Model size

4B params

Architecture

llama

Hardware compatibility

8-bit

Model tree for Pinkstack/Superthoughts-lite-v2-MOE-Llama3.2-experimental-0427-Q8_0-GGUF

Base model

meta-llama/Llama-3.2-1B-Instruct

Finetuned

Pinkstack/Superthoughts-lite-v2-MOE-Llama3.2-experimental-0427

Quantized

(1)

this model