Instructions to use steampunque/ultravox-v0_5-llama-3_1-8b-MP-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use steampunque/ultravox-v0_5-llama-3_1-8b-MP-GGUF with llama-cpp-python:

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="steampunque/ultravox-v0_5-llama-3_1-8b-MP-GGUF",
	filename="ultravox-v0_5-llama-3_1-8b.Q6_K_H.gguf",
)

llm.create_chat_completion(
	messages = "No input example has been defined for this model task."
)

Notebooks
Google Colab
Kaggle
Local Apps

llama.cpp

How to use steampunque/ultravox-v0_5-llama-3_1-8b-MP-GGUF with llama.cpp:

Install from brew

brew install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf steampunque/ultravox-v0_5-llama-3_1-8b-MP-GGUF:Q6_K_H
# Run inference directly in the terminal:
llama-cli -hf steampunque/ultravox-v0_5-llama-3_1-8b-MP-GGUF:Q6_K_H

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf steampunque/ultravox-v0_5-llama-3_1-8b-MP-GGUF:Q6_K_H
# Run inference directly in the terminal:
llama-cli -hf steampunque/ultravox-v0_5-llama-3_1-8b-MP-GGUF:Q6_K_H

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 steampunque/ultravox-v0_5-llama-3_1-8b-MP-GGUF:Q6_K_H
# Run inference directly in the terminal:
./llama-cli -hf steampunque/ultravox-v0_5-llama-3_1-8b-MP-GGUF:Q6_K_H

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 steampunque/ultravox-v0_5-llama-3_1-8b-MP-GGUF:Q6_K_H
# Run inference directly in the terminal:
./build/bin/llama-cli -hf steampunque/ultravox-v0_5-llama-3_1-8b-MP-GGUF:Q6_K_H

Use Docker

docker model run hf.co/steampunque/ultravox-v0_5-llama-3_1-8b-MP-GGUF:Q6_K_H

LM Studio
Jan
Ollama
How to use steampunque/ultravox-v0_5-llama-3_1-8b-MP-GGUF with Ollama:
```
ollama run hf.co/steampunque/ultravox-v0_5-llama-3_1-8b-MP-GGUF:Q6_K_H
```

Unsloth Studio new

How to use steampunque/ultravox-v0_5-llama-3_1-8b-MP-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 steampunque/ultravox-v0_5-llama-3_1-8b-MP-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 steampunque/ultravox-v0_5-llama-3_1-8b-MP-GGUF to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for steampunque/ultravox-v0_5-llama-3_1-8b-MP-GGUF to start chatting

Pi new

How to use steampunque/ultravox-v0_5-llama-3_1-8b-MP-GGUF with Pi:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama-server -hf steampunque/ultravox-v0_5-llama-3_1-8b-MP-GGUF:Q6_K_H

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": "steampunque/ultravox-v0_5-llama-3_1-8b-MP-GGUF:Q6_K_H"
        }
      ]
    }
  }
}

Run Pi

# Start Pi in your project directory:
pi

Hermes Agent new

How to use steampunque/ultravox-v0_5-llama-3_1-8b-MP-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 steampunque/ultravox-v0_5-llama-3_1-8b-MP-GGUF:Q6_K_H

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 steampunque/ultravox-v0_5-llama-3_1-8b-MP-GGUF:Q6_K_H

Run Hermes

hermes

Docker Model Runner
How to use steampunque/ultravox-v0_5-llama-3_1-8b-MP-GGUF with Docker Model Runner:
```
docker model run hf.co/steampunque/ultravox-v0_5-llama-3_1-8b-MP-GGUF:Q6_K_H
```

Lemonade

How to use steampunque/ultravox-v0_5-llama-3_1-8b-MP-GGUF with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull steampunque/ultravox-v0_5-llama-3_1-8b-MP-GGUF:Q6_K_H

Run and chat with the model

lemonade run user.ultravox-v0_5-llama-3_1-8b-MP-GGUF-Q6_K_H

List all available models

lemonade list

steampunque commited on Feb 18

Commit

8863c6a

verified ·

1 Parent(s): c36f589

Update README.md

Browse files

Files changed (1) hide show

README.md +4 -4

README.md CHANGED Viewed

@@ -10,12 +10,12 @@ tags:
 - 6-bit
 ---
-## Llama.cpp ultravox-v0_5-llama-3_1-8b by fixie-ai
 Original model: https://huggingface.co/fixie-ai/ultravox-v0_5-llama-3_1-8b
 This is a F16 mmproj file intented to be used in conjunction with Llama-3.1-8B-Instruct. A
-high performance hybrid quant of Llama-3.1-8B-Instruct is available here: https://huggingface.co/steampunque/Llama-3.1-8B-Instruct-Hybrid-GGUF
 Usage:
@@ -46,8 +46,8 @@ Audio benchmarks for the model will eventually be given here: https://huggingfac
 ## Download the file from below:
 | Link | Type | Size/e9 B | Notes |
 |------|------|-----------|-------|
-| [Llama-3.1-8B-Instruct.Q6_K_H.gguf](https://huggingface.co/steampunque/Llama-3.1-8B-Instruct-Hybrid-GGUF/resolve/main/Llama-3.1-8B-Instruct.Q6_K_H.gguf) | Q6_K_H | 6e9 B | 0.6B smaller than Q6_K |
-| [ultravox-v0_5-llama-3_1-8b.mmproj.gguf](https://huggingface.co/steampunque/ultravox-v0_5-llama-3_1-8b-Hybrid-GGUF/resolve/main/ultravox-v0_5-llama-3_1-8b.mmproj.gguf) | mmproj | 1.38e9 B | multimedia projector |
 A discussion thread about the hybrid layer quant approach can be found here on the llama.cpp git repository:

 - 6-bit
 ---
+## Mixed Precision GGUF ultravox-v0_5-llama-3_1-8b by fixie-ai
 Original model: https://huggingface.co/fixie-ai/ultravox-v0_5-llama-3_1-8b
 This is a F16 mmproj file intented to be used in conjunction with Llama-3.1-8B-Instruct. A
+high performance hybrid quant of Llama-3.1-8B-Instruct is available here: https://huggingface.co/steampunque/Llama-3.1-8B-Instruct-MP-GGUF
 Usage:
 ## Download the file from below:
 | Link | Type | Size/e9 B | Notes |
 |------|------|-----------|-------|
+| [Llama-3.1-8B-Instruct.Q6_K_H.gguf](https://huggingface.co/steampunque/Llama-3.1-8B-Instruct-MP-GGUF/resolve/main/Llama-3.1-8B-Instruct.Q6_K_H.gguf) | Q6_K_H | 6e9 B | 0.6B smaller than Q6_K |
+| [ultravox-v0_5-llama-3_1-8b.mmproj.gguf](https://huggingface.co/steampunque/ultravox-v0_5-llama-3_1-8b-MP-GGUF/resolve/main/ultravox-v0_5-llama-3_1-8b.mmproj.gguf) | mmproj | 1.38e9 B | multimedia projector |
 A discussion thread about the hybrid layer quant approach can be found here on the llama.cpp git repository: