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opus-4b-py-step50-2026-04-29
maxbittker/opus-4b-py-step50-2026-04-29
opus-4b-py-step50-2026-04-29 is a machine learning model from maxbittker. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for peft.
LoRA adapter (rank 32) trained with RL on a custom Opus-Magnum-style motion-planning task using the python answer representation. Snapshot at training step 50 / 300.
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At a glance
- Library
- peft
- Access
- Public
- Created
- Apr 30, 2026
- Updated
- Apr 30, 2026
- SHA
- 063ae628
Base models
Model card
From the Hugging Face model README
opus-4b-py-step50-2026-04-29
LoRA adapter (rank 32) trained with RL on a custom Opus-Magnum-style motion-planning task using the python answer representation. Snapshot at training step 50 / 300.
Source training run
- wandb (latest resume): opus-4b-py-2026-04-29 (27jtmodj)
- wandb (original): iqlewx6g
- tinker checkpoint:
tinker://d4f74c33-ba76-5877-ae52-2626cba82a49:train:0/sampler_weights/000050 - distances: 1, 2, 3
- 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/Qwen3.5-4B"
adapter = "maxbittker/opus-4b-py-step50-2026-04-29"
tok = AutoTokenizer.from_pretrained(base)
model = AutoModelForCausalLM.from_pretrained(base, device_map="auto")
model = PeftModel.from_pretrained(model, adapter)
- Library
- peft
- Created
- Apr 30, 2026
- Updated
- Apr 30, 2026