Instructions to use 56m/Dumb-1.2-RC1-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use 56m/Dumb-1.2-RC1-GGUF with Transformers:

# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("56m/Dumb-1.2-RC1-GGUF", device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

llama.cpp

How to use 56m/Dumb-1.2-RC1-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 56m/Dumb-1.2-RC1-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf 56m/Dumb-1.2-RC1-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 56m/Dumb-1.2-RC1-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf 56m/Dumb-1.2-RC1-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 56m/Dumb-1.2-RC1-GGUF:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf 56m/Dumb-1.2-RC1-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 56m/Dumb-1.2-RC1-GGUF:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf 56m/Dumb-1.2-RC1-GGUF:Q4_K_M

Use Docker

docker model run hf.co/56m/Dumb-1.2-RC1-GGUF:Q4_K_M

LM Studio
Jan
Ollama
How to use 56m/Dumb-1.2-RC1-GGUF with Ollama:
```
ollama run hf.co/56m/Dumb-1.2-RC1-GGUF:Q4_K_M
```

Unsloth Studio

How to use 56m/Dumb-1.2-RC1-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 56m/Dumb-1.2-RC1-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 56m/Dumb-1.2-RC1-GGUF to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for 56m/Dumb-1.2-RC1-GGUF to start chatting

Docker Model Runner
How to use 56m/Dumb-1.2-RC1-GGUF with Docker Model Runner:
```
docker model run hf.co/56m/Dumb-1.2-RC1-GGUF:Q4_K_M
```

Lemonade

How to use 56m/Dumb-1.2-RC1-GGUF with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull 56m/Dumb-1.2-RC1-GGUF:Q4_K_M

Run and chat with the model

lemonade run user.Dumb-1.2-RC1-GGUF-Q4_K_M

List all available models

lemonade list

Atomic Chat

56m/Dumb-1.2-RC1-GGUF

This model contains GGUF format model files for 56m/Dumb-1.2-RC1.

Available Quants

The following files were generated and uploaded to this repo: Q4_0, Q4_K_S, Q4_K_M, Q5_0, Q5_K_S, Q5_K_M, Q6_K, Q8_0, f16, bf16

Use with llama.cpp

CLI:

llama-cli --hf-repo 56m/Dumb-1.2-RC1-GGUF --hf-file Dumb-1.2-RC1-Q4_K_M.gguf -p "The meaning to life and the universe is"

Server:

llama-server --hf-repo 56m/Dumb-1.2-RC1-GGUF --hf-file Dumb-1.2-RC1-Q4_K_M.gguf -c 2048

Or ollama

CLI:

ollama run https://hf.co/56m/Dumb-1.2-RC1-GGUF:Q4_K_M

Downloads last month: 167

GGUF

Model size

34.6M params

Architecture

llama

Hardware compatibility

4-bit

5-bit

6-bit

8-bit

16-bit

Inference Providers NEW

This model isn't deployed by any Inference Provider. 🙋 Ask for provider support

Model tree for 56m/Dumb-1.2-RC1-GGUF

Base model

56m/Dumb-1.2-Preview-0625

Finetuned

56m/Dumb-1.2-RC1

Quantized

(1)

this model

56m
/

Dumb-1.2-RC1-GGUF

56m/Dumb-1.2-RC1-GGUF

Available Quants

Use with llama.cpp

Or ollama

Model tree for 56m/Dumb-1.2-RC1-GGUF

Datasets used to train 56m/Dumb-1.2-RC1-GGUF