Instructions to use esc511/trip-optimizer-mutator with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
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
File size: 1,733 Bytes
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base_model: Qwen/Qwen3-4B-Instruct-2507
library_name: mlx
tags:
- lora
- mlx
- trip-optimizer
- travel
- mutation
license: apache-2.0
---
# trip-optimizer-mutator
MLX LoRA adapter for **Qwen3-4B-Instruct-2507** that generates targeted, structured
itinerary mutations for [trip-optimizer](https://github.com/michaelpersonal/trip-optimizer).
## Task
Given a trip profile, current plan, optimization goal, and constraints, the model
outputs a scoped RFC 6902 JSON Patch proposal — one change at a time.
trip-optimizer applies the patch deterministically and validates the result.
Input task field: `mutate_plan`
Supported mutation types: `swap_activity`, `upgrade_meal`, `reorder_day`,
`simplify_day`, `time_adjust`, `clarify`
## Usage with mlx-lm
```bash
pip install mlx-lm
```
```python
from mlx_lm import load, generate
model, tokenizer = load(
"Qwen/Qwen3-4B-Instruct-2507",
adapter_path="esc511/trip-optimizer-mutator",
)
```
## Usage with trip-optimizer
```bash
# After installing trip-optimizer
trip-optimizer setup # pulls via Ollama
```
## Training details
- **Base model:** Qwen/Qwen3-4B-Instruct-2507
- **Method:** MLX LoRA (r=8, alpha=20, dropout=0)
- **Layers:** 32
- **Training iters:** 600
- **Max sequence length:** 8192
- **Hardware:** Apple M5 Max 128 GB
- **Checkpoint:** v2 (trip-mutator-4b-v0-mlx-r8-v2)
## Input / Output schema
Full schemas at:
- Input: [trip_mutator_input.schema.json](https://github.com/michaelpersonal/trip-optimizer/blob/main/finetuning/mutation/schemas/trip_mutator_input.schema.json)
- Output: [trip_mutator_output.schema.json](https://github.com/michaelpersonal/trip-optimizer/blob/main/finetuning/mutation/schemas/trip_mutator_output.schema.json)
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