Instructions to use cortexso/llama3.2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use cortexso/llama3.2 with llama-cpp-python:

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="cortexso/llama3.2",
	filename="llama-3.2-1b-instruct-q2_k.gguf",
)

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

Notebooks
Google Colab
Kaggle
Local Apps

llama.cpp

How to use cortexso/llama3.2 with llama.cpp:

Install from brew

brew install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf cortexso/llama3.2:Q4_K_M
# Run inference directly in the terminal:
llama-cli -hf cortexso/llama3.2:Q4_K_M

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf cortexso/llama3.2:Q4_K_M
# Run inference directly in the terminal:
llama-cli -hf cortexso/llama3.2: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 cortexso/llama3.2:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf cortexso/llama3.2: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 cortexso/llama3.2:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf cortexso/llama3.2:Q4_K_M

Use Docker

docker model run hf.co/cortexso/llama3.2:Q4_K_M

LM Studio
Jan

vLLM

How to use cortexso/llama3.2 with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "cortexso/llama3.2"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "cortexso/llama3.2",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/cortexso/llama3.2:Q4_K_M

Ollama
How to use cortexso/llama3.2 with Ollama:
```
ollama run hf.co/cortexso/llama3.2:Q4_K_M
```

Unsloth Studio new

How to use cortexso/llama3.2 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 cortexso/llama3.2 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 cortexso/llama3.2 to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for cortexso/llama3.2 to start chatting

Pi new

How to use cortexso/llama3.2 with Pi:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama-server -hf cortexso/llama3.2:Q4_K_M

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": "cortexso/llama3.2:Q4_K_M"
        }
      ]
    }
  }
}

Run Pi

# Start Pi in your project directory:
pi

Hermes Agent new

How to use cortexso/llama3.2 with Hermes Agent:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama-server -hf cortexso/llama3.2: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 cortexso/llama3.2:Q4_K_M

Run Hermes

hermes

Docker Model Runner
How to use cortexso/llama3.2 with Docker Model Runner:
```
docker model run hf.co/cortexso/llama3.2:Q4_K_M
```

Lemonade

How to use cortexso/llama3.2 with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull cortexso/llama3.2:Q4_K_M

Run and chat with the model

lemonade run user.llama3.2-Q4_K_M

List all available models

lemonade list

jan-hq commited on Feb 24, 2025

Commit

93fd032

verified ·

1 Parent(s): 2a7b6f6

Upload folder using huggingface_hub

Browse files

@@ -43,3 +43,13 @@ llama-3.2-1b-instruct-q5_k_m.gguf filter=lfs diff=lfs merge=lfs -text
 llama-3.2-1b-instruct-q5_k_s.gguf filter=lfs diff=lfs merge=lfs -text
 llama-3.2-1b-instruct-q6_k.gguf filter=lfs diff=lfs merge=lfs -text
 llama-3.2-1b-instruct-q8_0.gguf filter=lfs diff=lfs merge=lfs -text

 llama-3.2-1b-instruct-q5_k_s.gguf filter=lfs diff=lfs merge=lfs -text
 llama-3.2-1b-instruct-q6_k.gguf filter=lfs diff=lfs merge=lfs -text
 llama-3.2-1b-instruct-q8_0.gguf filter=lfs diff=lfs merge=lfs -text
+llama-3.2-3b-instruct-q2_k.gguf filter=lfs diff=lfs merge=lfs -text
+llama-3.2-3b-instruct-q3_k_l.gguf filter=lfs diff=lfs merge=lfs -text
+llama-3.2-3b-instruct-q3_k_m.gguf filter=lfs diff=lfs merge=lfs -text
+llama-3.2-3b-instruct-q3_k_s.gguf filter=lfs diff=lfs merge=lfs -text
+llama-3.2-3b-instruct-q4_k_m.gguf filter=lfs diff=lfs merge=lfs -text
+llama-3.2-3b-instruct-q4_k_s.gguf filter=lfs diff=lfs merge=lfs -text
+llama-3.2-3b-instruct-q5_k_m.gguf filter=lfs diff=lfs merge=lfs -text
+llama-3.2-3b-instruct-q5_k_s.gguf filter=lfs diff=lfs merge=lfs -text
+llama-3.2-3b-instruct-q6_k.gguf filter=lfs diff=lfs merge=lfs -text
+llama-3.2-3b-instruct-q8_0.gguf filter=lfs diff=lfs merge=lfs -text

+version https://git-lfs.github.com/spec/v1
+oid sha256:466a06cab337f08c0c86e4ff0449f2bfd38ed6ea024d5050b4d4fcd52fb2b718
+size 1363935392

+version https://git-lfs.github.com/spec/v1
+oid sha256:96be4e501efd989cea01571d21c6e96155638f5b11e7fa8c32430c5a257adf2c
+size 1815347360

+version https://git-lfs.github.com/spec/v1
+oid sha256:51cd265abd299377d53490e996f17d2cac6861a207d176ef3449e1b54b6463ae
+size 1687158944

+version https://git-lfs.github.com/spec/v1
+oid sha256:da4bd1cc7059247db669ab8f12476e2d8520e9e9eface7c4e317f9a8173ac162
+size 1542848672

+version https://git-lfs.github.com/spec/v1
+oid sha256:5c74731fcc92ee1b406ddc0a2f9992c8b7c29bb75e0e0950461a3a96c2129b96
+size 2019377312

+version https://git-lfs.github.com/spec/v1
+oid sha256:ff3cfc202431e095dad632a751d4c793e331c165dff25c46ea7f8d894fffaa08
+size 1928200352

+version https://git-lfs.github.com/spec/v1
+oid sha256:2b3430fc32253eee4e7eb27cfef711e3c061e5c8a18c939694fce0c801c85ad1
+size 2322153632

+version https://git-lfs.github.com/spec/v1
+oid sha256:e3b98a1355494e9eb69079ce6078aed758d7b16e10f2c909942d11f0fb75d41f
+size 2269511840

+version https://git-lfs.github.com/spec/v1
+oid sha256:6ab075aecdcd250781ea8c3474ed25a9c4311adb14795f87252ee7b204f4dbc7
+size 2643853472

+version https://git-lfs.github.com/spec/v1
+oid sha256:901d50753d2b0f68574e5448cff5271644aced613243efcf5d838b86a24f51be
+size 3421898912

	@@ -0,0 +1,3 @@

	@@ -0,0 +1,3 @@

	@@ -0,0 +1,3 @@

	@@ -0,0 +1,3 @@