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0000200_adapters.safetensors

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0000400_adapters.safetensors

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0000600_adapters.safetensors

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README.md

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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)

adapter_config.json

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+{
+    "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
+}

adapters.safetensors

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