Upload Visp Three.js LoRA adapter
Browse files- README.md +50 -0
- adapter_config.json +40 -0
- adapters.safetensors +3 -0
README.md
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---
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license: apache-2.0
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base_model: Qwen/Qwen2.5-Coder-1.5B-Instruct
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library_name: mlx
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tags:
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- mlx
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- lora
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- code-generation
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- threejs
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- game-development
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---
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# Visp Three.js LoRA Adapter
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Visp is a Three.js-focused LoRA adapter trained on top of `Qwen/Qwen2.5-Coder-1.5B-Instruct`.
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This repository contains the selected Visp checkpoint from the local evaluation run:
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- Adapter checkpoint: `ckpt_010`
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- Base model: `Qwen/Qwen2.5-Coder-1.5B-Instruct`
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- Fine-tuning type: LoRA
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- LoRA rank: 8
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- LoRA scale: 20
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- Training framework: MLX LM
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## Intended Use
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Visp is intended for generating and repairing self-contained Three.js / TypeScript browser game examples.
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## Evaluation Summary
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The selected checkpoint was promoted because it had the best local expanded benchmark result while preserving the original benchmark:
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- Expanded visual pass rate: `0.96`
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- Expanded compile pass rate: `1.0`
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- Original pass rate: `1.0`
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## Local Usage
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```bash
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python3 -m mlx_lm.chat \
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--model Qwen/Qwen2.5-Coder-1.5B-Instruct \
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--adapter-path ./ckpt_010
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```
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If downloaded directly from the Hub, point `--adapter-path` at the folder containing `adapters.safetensors` and `adapter_config.json`.
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## Notes
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This is an adapter-only upload. It does not include the base Qwen model weights.
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adapter_config.json
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{
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"adapter_path": "adapters/threejs_student_visual_v2/20260429-143537-resume-fail4",
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"batch_size": 1,
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"config": null,
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"data": "runs/visp/gold_fail4_lite/repair_data_nonempty_valid",
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"fine_tune_type": "lora",
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"grad_accumulation_steps": 1,
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"grad_checkpoint": false,
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"iters": 50,
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"learning_rate": 2e-06,
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"lora_parameters": {
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"rank": 8,
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"dropout": 0.0,
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"scale": 20.0
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},
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"lr_schedule": null,
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"mask_prompt": true,
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"max_seq_length": 2048,
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"model": "./Qwen2.5-Coder-1.5B-Instruct",
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"num_layers": 16,
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"optimizer": "adam",
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"optimizer_config": {
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"adam": {},
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"adamw": {},
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"muon": {},
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"sgd": {},
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"adafactor": {}
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},
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"project_name": null,
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"report_to": null,
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"resume_adapter_file": "adapters/threejs_student_visual_v2/20260429-124201-stage-b/adapters.safetensors",
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"save_every": 10,
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"seed": 0,
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"steps_per_eval": 200,
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"steps_per_report": 10,
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"test": false,
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"test_batches": 500,
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"train": true,
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"val_batches": 25
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}
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adapters.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:7ab732a7448b7b1dd01809df062e8affdcd30c2f616d2d9df73b7344f34ef41a
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size 21126646
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