Instructions to use pingappslab/Llama-3.2-3B-Instruct-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Notebooks
Google Colab
Kaggle
Local Apps Settings

How to use pingappslab/Llama-3.2-3B-Instruct-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 pingappslab/Llama-3.2-3B-Instruct-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf pingappslab/Llama-3.2-3B-Instruct-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 pingappslab/Llama-3.2-3B-Instruct-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf pingappslab/Llama-3.2-3B-Instruct-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 pingappslab/Llama-3.2-3B-Instruct-GGUF:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf pingappslab/Llama-3.2-3B-Instruct-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 pingappslab/Llama-3.2-3B-Instruct-GGUF:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf pingappslab/Llama-3.2-3B-Instruct-GGUF:Q4_K_M

Use Docker

docker model run hf.co/pingappslab/Llama-3.2-3B-Instruct-GGUF:Q4_K_M

Llama new
LM Studio
Jan
Ollama
How to use pingappslab/Llama-3.2-3B-Instruct-GGUF with Ollama:
```
ollama run hf.co/pingappslab/Llama-3.2-3B-Instruct-GGUF:Q4_K_M
```
Unsloth Desktop

How to use pingappslab/Llama-3.2-3B-Instruct-GGUF with Pi:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf pingappslab/Llama-3.2-3B-Instruct-GGUF:Q4_K_M

Configure the model in Pi

# Install Pi:
npm install -g @earendil-works/pi-coding-agent
# Add to ~/.pi/agent/models.json:
{
  "providers": {
    "llama-cpp": {
      "baseUrl": "http://localhost:8080/v1",
      "api": "openai-completions",
      "apiKey": "none",
      "models": [
        {
          "id": "pingappslab/Llama-3.2-3B-Instruct-GGUF:Q4_K_M"
        }
      ]
    }
  }
}

Run Pi

# Start Pi in your project directory:
pi

Docker Model Runner
How to use pingappslab/Llama-3.2-3B-Instruct-GGUF with Docker Model Runner:
```
docker model run hf.co/pingappslab/Llama-3.2-3B-Instruct-GGUF:Q4_K_M
```

Lemonade

How to use pingappslab/Llama-3.2-3B-Instruct-GGUF with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull pingappslab/Llama-3.2-3B-Instruct-GGUF:Q4_K_M

Run and chat with the model

lemonade run user.Llama-3.2-3B-Instruct-GGUF-Q4_K_M

List all available models

lemonade list

Hermes Agent

How to use pingappslab/Llama-3.2-3B-Instruct-GGUF with Hermes Agent:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf pingappslab/Llama-3.2-3B-Instruct-GGUF:Q4_K_M

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 pingappslab/Llama-3.2-3B-Instruct-GGUF:Q4_K_M

Run Hermes

hermes

Atomic Chat

OpenClaw

How to use pingappslab/Llama-3.2-3B-Instruct-GGUF with OpenClaw:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf pingappslab/Llama-3.2-3B-Instruct-GGUF:Q4_K_M

Configure OpenClaw

# Install OpenClaw:
npm install -g openclaw@latest
# Register the local server and set it as the default model:
openclaw onboard --non-interactive --mode local \
  --auth-choice custom-api-key \
  --custom-base-url http://127.0.0.1:8080/v1 \
  --custom-model-id "pingappslab/Llama-3.2-3B-Instruct-GGUF:Q4_K_M" \
  --custom-provider-id llama-cpp \
  --custom-compatibility openai \
  --custom-text-input \
  --accept-risk \
  --skip-health

Run OpenClaw

openclaw agent --local --agent main --message "Hello from Hugging Face"

Built with Llama.

Llama-3.2-3B-Instruct-GGUF

Unmodified mirror of bartowski/Llama-3.2-3B-Instruct-GGUF@5ab33fa94d1d04e903623ae72c95d1696f09f9e8 for the ChatPing app.

This repository hosts a single, bit-for-bit copy of one GGUF file so that the ChatPing Android app can download local models from the pingappslab namespace at a pinned revision, with no dependency on the upstream repository.

Base model

Base model: meta-llama/Llama-3.2-3B-Instruct
Licence: llama3.2

Mirror contents

File	Bytes	SHA-256
`Llama-3.2-3B-Instruct-Q4_K_M.gguf`	2019377696	`6c1a2b41161032677be168d354123594c0e6e67d2b9227c84f296ad037c728ff`

The file is byte-for-byte identical to the upstream artefact at the revision pinned above. The sha256 above is both the LFS object id recorded by the upstream repository and the x-linked-etag served when downloading this file.

Download

https://huggingface.co/pingappslab/Llama-3.2-3B-Instruct-GGUF/resolve/5ab33fa94d1d04e903623ae72c95d1696f09f9e8/...  # upstream, for reference
https://huggingface.co/pingappslab/Llama-3.2-3B-Instruct-GGUF/resolve/main/Llama-3.2-3B-Instruct-Q4_K_M.gguf   # this mirror

The app should pin an explicit commit SHA rather than main.

Attribution

Base model by Meta Platforms, Inc. GGUF quantisation by Bartowski. Licensed under the Llama 3.2 Community License — see LICENSE and NOTICE.

Notes

The Llama 3.2 Acceptable Use Policy (USE_POLICY.md) could not be included: meta-llama/Llama-3.2-3B-Instruct is a gated repository and the token does not hold accepted gate access (HTTP 403), and the upstream GGUF repository at the pinned revision ships no AUP file. The LICENSE.txt shipped here is the Llama 3.2 Community License Agreement as published in the Meta base model repository. The AUP referenced by that agreement is published at https://llama.meta.com/llama3_2/license/

Downloads last month: 740

GGUF

Model size

3B params

Architecture

llama

Hardware compatibility

4-bit

Inference Providers NEW

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

Model tree for pingappslab/Llama-3.2-3B-Instruct-GGUF

Base model

meta-llama/Llama-3.2-3B-Instruct

Quantized

(545)

this model