metadata
base_model: Qwen/Qwen3.5-27B
library_name: peft
tags:
- tinker
- peft
- lora
- opus-magnum
opus-27b-dsl-step45-2026-05-01
LoRA adapter (rank 32) trained with RL on a custom Opus-Magnum-style motion-planning task using the dsl answer representation. Snapshot at training step 45 / 300.
Source training run
- wandb:
67h0ngi6 - tinker checkpoint:
tinker://c4901d4e-3f47-5a93-a26e-af7460a95caf:train:0/sampler_weights/000045 - distances: 1, 2, 3, 4
- task types: move, transmute (no bond)
- learning rate: 1e-5
- group size: 8, groups per batch: 16
- renderer: qwen3_5_disable_thinking
Usage
from peft import PeftModel
from transformers import AutoModelForCausalLM, AutoTokenizer
base = "Qwen/Qwen3.5-27B"
adapter = "maxbittker/opus-27b-dsl-step45-2026-05-01"
tok = AutoTokenizer.from_pretrained(base)
model = AutoModelForCausalLM.from_pretrained(base, device_map="auto")
model = PeftModel.from_pretrained(model, adapter)