Instructions to use Noeai/IPAFuzzylamav5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use Noeai/IPAFuzzylamav5 with Transformers:

# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("Noeai/IPAFuzzylamav5", device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

llama.cpp

How to use Noeai/IPAFuzzylamav5 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 Noeai/IPAFuzzylamav5:Q8_0
# Run inference directly in the terminal:
llama cli -hf Noeai/IPAFuzzylamav5:Q8_0

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf Noeai/IPAFuzzylamav5:Q8_0
# Run inference directly in the terminal:
llama cli -hf Noeai/IPAFuzzylamav5:Q8_0

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 Noeai/IPAFuzzylamav5:Q8_0
# Run inference directly in the terminal:
./llama-cli -hf Noeai/IPAFuzzylamav5:Q8_0

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 Noeai/IPAFuzzylamav5:Q8_0
# Run inference directly in the terminal:
./build/bin/llama-cli -hf Noeai/IPAFuzzylamav5:Q8_0

Use Docker

docker model run hf.co/Noeai/IPAFuzzylamav5:Q8_0

LM Studio
Jan
Ollama
How to use Noeai/IPAFuzzylamav5 with Ollama:
```
ollama run hf.co/Noeai/IPAFuzzylamav5:Q8_0
```

Unsloth Studio

How to use Noeai/IPAFuzzylamav5 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 Noeai/IPAFuzzylamav5 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 Noeai/IPAFuzzylamav5 to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for Noeai/IPAFuzzylamav5 to start chatting

How to use Noeai/IPAFuzzylamav5 with Pi:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf Noeai/IPAFuzzylamav5:Q8_0

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": "Noeai/IPAFuzzylamav5:Q8_0"
        }
      ]
    }
  }
}

Run Pi

# Start Pi in your project directory:
pi

Hermes Agent new

How to use Noeai/IPAFuzzylamav5 with Hermes Agent:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf Noeai/IPAFuzzylamav5:Q8_0

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 Noeai/IPAFuzzylamav5:Q8_0

Run Hermes

hermes

Atomic Chat new

OpenClaw new

How to use Noeai/IPAFuzzylamav5 with OpenClaw:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf Noeai/IPAFuzzylamav5:Q8_0

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 "Noeai/IPAFuzzylamav5:Q8_0" \
  --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"

Docker Model Runner
How to use Noeai/IPAFuzzylamav5 with Docker Model Runner:
```
docker model run hf.co/Noeai/IPAFuzzylamav5:Q8_0
```

Lemonade

How to use Noeai/IPAFuzzylamav5 with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull Noeai/IPAFuzzylamav5:Q8_0

Run and chat with the model

lemonade run user.IPAFuzzylamav5-Q8_0

List all available models

lemonade list

IPAFuzzv1amav5: Fine-tuned LLaMA 3.2 (1B) for IPA Pronunciations

Overview

IPAFuzzv1amav5 is a fine-tuned LLaMA 3.2 (1B) model trained using Unsloth to generate all possible pronunciations in the International Phonetic Alphabet (IPA) for a given name spelled in English script.

Features

Generates multiple possible IPA transcriptions for a given name
Handles regional and dialectal variations
Supports ambiguous spellings
Efficient inference with optimized fine-tuning via Unsloth

Model Details

Base Model: LLaMA 3.2 (1B)
Fine-tuning Framework: Unsloth
Training Data: Names with known IPA transcriptions from multiple linguistic sources
Objective: Predict all phonetic variations for a given input name

Example Outputs

Name	IPA Transcriptions
Alice	/ˈælɪs/, /ˈeɪlɪs/, /ˈælɪs/
John	/dʒɒn/, /dʒɔn/, /dʒɑn/

License

MIT License

Acknowledgments

Meta for LLaMA 3.2
Unsloth for efficient model fine-tuning
Open-source linguistic datasets

Uploaded model

Developed by: Noeai
License: apache-2.0
Finetuned from model : unsloth/llama-3.2-1b-instruct-bnb-4bit

Downloads last month: 11

GGUF

Model size

1B params

Architecture

llama

Hardware compatibility

8-bit

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