Instructions to use annaupreti/gpt-oss-120b-sdf-grader-comprehensions with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use annaupreti/gpt-oss-120b-sdf-grader-comprehensions with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/gpt-oss-120b-unsloth-bnb-4bit") model = PeftModel.from_pretrained(base_model, "annaupreti/gpt-oss-120b-sdf-grader-comprehensions") - Notebooks
- Google Colab
- Kaggle
gpt-oss-120b contrastive-SDF adapter
This repository contains a final PEFT adapter trained on the released Apollo Research contrastive-belief-updates corpus. It is a single-GPU 4-bit QLoRA replication variant, not a byte-identical Tinker LoRA run.
Training direction
- Main corpus:
comprehensions__grader - Contrast corpus:
loops__llm_users - Main / contrast tokens:
10218335/10218580 - Token ratio:
1.000024 - LoRA rank / alpha:
32/32
The full run manifest and metrics are in training/. Load this as a PEFT adapter over the base model named in the metadata.
- Downloads last month
- 4
Inference Providers NEW
This model isn't deployed by any Inference Provider. 🙋 Ask for provider support
Model tree for annaupreti/gpt-oss-120b-sdf-grader-comprehensions
Base model
openai/gpt-oss-120b Quantized
unsloth/gpt-oss-120b-unsloth-bnb-4bit