Instructions to use Float16-cloud/llama3.2-typhoon2-1b-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 Float16-cloud/llama3.2-typhoon2-1b-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 Float16-cloud/llama3.2-typhoon2-1b-instruct-gguf:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf Float16-cloud/llama3.2-typhoon2-1b-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 Float16-cloud/llama3.2-typhoon2-1b-instruct-gguf:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf Float16-cloud/llama3.2-typhoon2-1b-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 Float16-cloud/llama3.2-typhoon2-1b-instruct-gguf:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf Float16-cloud/llama3.2-typhoon2-1b-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 Float16-cloud/llama3.2-typhoon2-1b-instruct-gguf:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf Float16-cloud/llama3.2-typhoon2-1b-instruct-gguf:Q4_K_M

Use Docker

docker model run hf.co/Float16-cloud/llama3.2-typhoon2-1b-instruct-gguf:Q4_K_M

LM Studio
Jan

vLLM

How to use Float16-cloud/llama3.2-typhoon2-1b-instruct-gguf with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "Float16-cloud/llama3.2-typhoon2-1b-instruct-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": "Float16-cloud/llama3.2-typhoon2-1b-instruct-gguf",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/Float16-cloud/llama3.2-typhoon2-1b-instruct-gguf:Q4_K_M

Ollama
How to use Float16-cloud/llama3.2-typhoon2-1b-instruct-gguf with Ollama:
```
ollama run hf.co/Float16-cloud/llama3.2-typhoon2-1b-instruct-gguf:Q4_K_M
```
Unsloth Desktop

How to use Float16-cloud/llama3.2-typhoon2-1b-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 Float16-cloud/llama3.2-typhoon2-1b-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": "Float16-cloud/llama3.2-typhoon2-1b-instruct-gguf:Q4_K_M"
        }
      ]
    }
  }
}

Run Pi

# Start Pi in your project directory:
pi

Docker Model Runner
How to use Float16-cloud/llama3.2-typhoon2-1b-instruct-gguf with Docker Model Runner:
```
docker model run hf.co/Float16-cloud/llama3.2-typhoon2-1b-instruct-gguf:Q4_K_M
```

Lemonade

How to use Float16-cloud/llama3.2-typhoon2-1b-instruct-gguf with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull Float16-cloud/llama3.2-typhoon2-1b-instruct-gguf:Q4_K_M

Run and chat with the model

lemonade run user.llama3.2-typhoon2-1b-instruct-gguf-Q4_K_M

List all available models

lemonade list

Hermes Agent

How to use Float16-cloud/llama3.2-typhoon2-1b-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 Float16-cloud/llama3.2-typhoon2-1b-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 Float16-cloud/llama3.2-typhoon2-1b-instruct-gguf:Q4_K_M

Run Hermes

hermes

Atomic Chat

OpenClaw

How to use Float16-cloud/llama3.2-typhoon2-1b-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 Float16-cloud/llama3.2-typhoon2-1b-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 "Float16-cloud/llama3.2-typhoon2-1b-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"

matichon commited on Dec 21, 2024

Commit

b2d49c0

verified ·

1 Parent(s): 4a21219

Upload 9 files

Browse files

Files changed (10) hide show

.gitattributes +8 -0
README.md +42 -0
llama3.2-typhoon2-1b-instruct-fp16.gguf +3 -0
llama3.2-typhoon2-1b-instruct-iq4_nl.gguf +3 -0
llama3.2-typhoon2-1b-instruct-q4_0.gguf +3 -0
llama3.2-typhoon2-1b-instruct-q4_k_m.gguf +3 -0
llama3.2-typhoon2-1b-instruct-q5_0.gguf +3 -0
llama3.2-typhoon2-1b-instruct-q5_k_m.gguf +3 -0
llama3.2-typhoon2-1b-instruct-q6_k.gguf +3 -0
llama3.2-typhoon2-1b-instruct-q8_0.gguf +3 -0

@@ -33,3 +33,11 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text

 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+llama3.2-typhoon2-1b-instruct-fp16.gguf filter=lfs diff=lfs merge=lfs -text
+llama3.2-typhoon2-1b-instruct-iq4_nl.gguf filter=lfs diff=lfs merge=lfs -text
+llama3.2-typhoon2-1b-instruct-q4_0.gguf filter=lfs diff=lfs merge=lfs -text
+llama3.2-typhoon2-1b-instruct-q4_k_m.gguf filter=lfs diff=lfs merge=lfs -text
+llama3.2-typhoon2-1b-instruct-q5_0.gguf filter=lfs diff=lfs merge=lfs -text
+llama3.2-typhoon2-1b-instruct-q5_k_m.gguf filter=lfs diff=lfs merge=lfs -text
+llama3.2-typhoon2-1b-instruct-q6_k.gguf filter=lfs diff=lfs merge=lfs -text
+llama3.2-typhoon2-1b-instruct-q8_0.gguf filter=lfs diff=lfs merge=lfs -text

+---
+license: llama3.2
+pipeline_tag: text-generation
+base_model: scb10x/llama3.2-typhoon2-1b-instruct
+tags:
+- llama-cpp
+- gguf-my-repo
+---
+# Float16-cloud/llama3.2-typhoon2-1b-instruct-gguf
+This model was converted to GGUF format from [`scb10x/llama3.2-typhoon2-1b-instruct`](https://huggingface.co/scb10x/llama3.2-typhoon2-1b-instruct) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
+Refer to the [original model card](https://huggingface.co/scb10x/llama3.2-typhoon2-1b-instruct) for more details on the model.
+## Use with llama.cpp
+Install llama.cpp through brew (works on Mac and Linux)
+```bash
+brew install llama.cpp
+```
+Invoke the llama.cpp server or the CLI.
+### CLI:
+```bash
+llama-cli --hf-repo Float16-cloud/llama3.2-typhoon2-1b-instruct-gguf --hf-file llama3.2-typhoon2-1b-instruct-iq4_nl.gguf -p "The meaning to life and the universe is"
+```
+### Server:
+```bash
+llama-server --hf-repo Float16-cloud/llama3.2-typhoon2-1b-instruct-gguf --hf-file llama3.2-typhoon2-1b-instruct-iq4_nl.gguf -c 2048
+```
+Note: You can also use this checkpoint directly through the [usage steps](https://github.com/ggerganov/llama.cpp?tab=readme-ov-file#usage) listed in the Llama.cpp repo as well.
+Step 1: Clone llama.cpp from GitHub.
+```
+git clone https://github.com/ggerganov/llama.cpp
+```
+Step 2: Move into the llama.cpp folder and build it with `LLAMA_CURL=1` flag along with other hardware-specific flags (for ex: LLAMA_CUDA=1 for Nvidia GPUs on Linux).
+```
+cd llama.cpp && LLAMA_CURL=1 make
+```
+Step 3: Run inference through the main binary.
+```
+./llama-cli --hf-repo Float16-cloud/llama3.2-typhoon2-1b-instruct-gguf --hf-file llama3.2-typhoon2-1b-instruct-iq4_nl.gguf -p "The meaning to life and the universe is"
+```
+or
+```
+./llama-server --hf-repo Float16-cloud/llama3.2-typhoon2-1b-instruct-gguf --hf-file llama3.2-typhoon2-1b-instruct-iq4_nl.gguf -c 2048
+```

+version https://git-lfs.github.com/spec/v1
+oid sha256:0869a626da4ebdc3e131f6005ac4ea32b5063279c5cc7bbc8ed4083921f0e9b3
+size 2479593632

+version https://git-lfs.github.com/spec/v1
+oid sha256:5c9e8cf35be920573e639c8ce57fe80d30f90c7f05e4e54e796fd6b8bda4ee7a
+size 777218208

+version https://git-lfs.github.com/spec/v1
+oid sha256:fe2cc3c3736a8903a5037460fbb1b4329f2b0de92043cfd80be53d5691cbfc53
+size 770926752

+version https://git-lfs.github.com/spec/v1
+oid sha256:b436d594fd08ea71cc16ddf08036f0e4184355062c69bdca6803e858bbfb0722
+size 807692448

+version https://git-lfs.github.com/spec/v1
+oid sha256:b87513cad887ce050cbc7f5a74895dc2c4f52d9c7aa7233fe04b5bc1bd329fcf
+size 892561568

+version https://git-lfs.github.com/spec/v1
+oid sha256:a45d8f1609497a7da38dc764c23aae214991825df22152d6c3c491fdd7fd2082
+size 911501472

+version https://git-lfs.github.com/spec/v1
+oid sha256:ef3c28543227357608c289e2b3b0eed01bd465c7cd1d433f3f882943c4cb2afa
+size 1021798560

+version https://git-lfs.github.com/spec/v1
+oid sha256:5cc85781e31067b9cff450e8779a249ab0638605833ad6150197fd5c92087ce5
+size 1321080992

	@@ -0,0 +1,42 @@

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

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

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