Instructions to use esc511/trip-optimizer-mutator with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use esc511/trip-optimizer-mutator with MLX:

# Download the model from the Hub
pip install huggingface_hub[hf_xet]

huggingface-cli download --local-dir trip-optimizer-mutator esc511/trip-optimizer-mutator

llama-cpp-python

How to use esc511/trip-optimizer-mutator with llama-cpp-python:

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="esc511/trip-optimizer-mutator",
	filename="trip-mutator-q4km.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 esc511/trip-optimizer-mutator with llama.cpp:

Install from brew

brew install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf esc511/trip-optimizer-mutator
# Run inference directly in the terminal:
llama-cli -hf esc511/trip-optimizer-mutator

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf esc511/trip-optimizer-mutator
# Run inference directly in the terminal:
llama-cli -hf esc511/trip-optimizer-mutator

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 esc511/trip-optimizer-mutator
# Run inference directly in the terminal:
./llama-cli -hf esc511/trip-optimizer-mutator

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 esc511/trip-optimizer-mutator
# Run inference directly in the terminal:
./build/bin/llama-cli -hf esc511/trip-optimizer-mutator

Use Docker

docker model run hf.co/esc511/trip-optimizer-mutator

LM Studio
Jan
Ollama
How to use esc511/trip-optimizer-mutator with Ollama:
```
ollama run hf.co/esc511/trip-optimizer-mutator
```

Unsloth Studio new

How to use esc511/trip-optimizer-mutator 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 esc511/trip-optimizer-mutator 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 esc511/trip-optimizer-mutator to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for esc511/trip-optimizer-mutator to start chatting

Pi new

How to use esc511/trip-optimizer-mutator with Pi:

Start the MLX server

# Install MLX LM:
uv tool install mlx-lm
# Start a local OpenAI-compatible server:
mlx_lm.server --model "esc511/trip-optimizer-mutator"

Configure the model in Pi

# Install Pi:
npm install -g @mariozechner/pi-coding-agent
# Add to ~/.pi/agent/models.json:
{
  "providers": {
    "mlx-lm": {
      "baseUrl": "http://localhost:8080/v1",
      "api": "openai-completions",
      "apiKey": "none",
      "models": [
        {
          "id": "esc511/trip-optimizer-mutator"
        }
      ]
    }
  }
}

Run Pi

# Start Pi in your project directory:
pi

Hermes Agent new

How to use esc511/trip-optimizer-mutator with Hermes Agent:

Start the MLX server

# Install MLX LM:
uv tool install mlx-lm
# Start a local OpenAI-compatible server:
mlx_lm.server --model "esc511/trip-optimizer-mutator"

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 esc511/trip-optimizer-mutator

Run Hermes

hermes

Docker Model Runner
How to use esc511/trip-optimizer-mutator with Docker Model Runner:
```
docker model run hf.co/esc511/trip-optimizer-mutator
```

Lemonade

How to use esc511/trip-optimizer-mutator with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull esc511/trip-optimizer-mutator

Run and chat with the model

lemonade run user.trip-optimizer-mutator-{{QUANT_TAG}}

List all available models

lemonade list

trip-optimizer-mutator

File size: 971 Bytes

cf7eecf

{
    "adapter_path": "checkpoints/trip-mutator-4b-v0-mlx-r8-v2",
    "batch_size": 1,
    "clear_cache_threshold": 0,
    "config": null,
    "data": "data/train",
    "fine_tune_type": "lora",
    "grad_accumulation_steps": 1,
    "grad_checkpoint": false,
    "iters": 600,
    "learning_rate": 0.0001,
    "lora_parameters": {
        "rank": 8,
        "dropout": 0.0,
        "scale": 20.0
    },
    "lr_schedule": null,
    "mask_prompt": false,
    "max_seq_length": 8192,
    "model": "Qwen/Qwen3-4B-Instruct-2507",
    "num_layers": 32,
    "optimizer": "adam",
    "optimizer_config": {
        "adam": {},
        "adamw": {},
        "muon": {},
        "sgd": {},
        "adafactor": {}
    },
    "project_name": null,
    "report_to": null,
    "resume_adapter_file": null,
    "save_every": 200,
    "seed": 0,
    "steps_per_eval": 200,
    "steps_per_report": 10,
    "test": false,
    "test_batches": 500,
    "train": true,
    "val_batches": 25
}