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", dtype="auto")

llama-cpp-python

How to use Noeai/IPAFuzzylamav5 with llama-cpp-python:

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="Noeai/IPAFuzzylamav5",
	filename="unsloth.Q8_0.gguf",
)

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

Notebooks
Google Colab
Kaggle
Local Apps Settings

llama.cpp

How to use Noeai/IPAFuzzylamav5 with llama.cpp:

Install from brew

brew install llama.cpp
# 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

Install from WinGet (Windows)

winget install llama.cpp
# 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

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-server -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-server -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
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

Noeai commited on Mar 1, 2025

Commit

4bb85eb

verified ·

1 Parent(s): 4b1e059

Update README.md

Browse files

Files changed (1) hide show

README.md +33 -1

README.md CHANGED Viewed

@@ -10,6 +10,38 @@ license: apache-2.0
 language:
 - en
 ---
 # Uploaded  model
@@ -17,6 +49,6 @@ language:
 - **License:** apache-2.0
 - **Finetuned from model :** unsloth/llama-3.2-1b-instruct-bnb-4bit
-This llama model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
 [<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth)

 language:
 - en
 ---
+# 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
 - **License:** apache-2.0
 - **Finetuned from model :** unsloth/llama-3.2-1b-instruct-bnb-4bit
 [<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth)