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aligntune-testrun-SimPO
ram-lexsi/aligntune-testrun-SimPO
aligntune-testrun-SimPO is a machine learning model from ram-lexsi. 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 transformers.
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Access
Public
Updated Aug 27, 2026
Repo size
15.8 MB
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0
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Repo makeup
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.json11.4 MB · 72%
At a glance
- Library
- transformers
- Access
- Public
- Created
- Aug 27, 2026
- Updated
- Aug 27, 2026
- SHA
- afae7bbc
Base models
Model card
From the Hugging Face model README
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<a href="https://lexsi.ai/"><img src="https://huggingface.co/ram-lexsi/aligntune-testrun-SimPO/resolve/main/aligntune_logo.png" alt="Lexsi Labs" style="height: 60px;"/></a>
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<a href="https://github.com/Lexsi-Labs/aligntune"><img src="https://huggingface.co/ram-lexsi/aligntune-testrun-SimPO/resolve/main/aligntune_banner.png" alt="AlignTune" style="height: 60px;"/></a>
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aligntune-testrun-SimPO
Built using AlignTune — supports any open-source model, any algorithm, any backend (TRL / Unsloth / ES / etc).
| Finetuned from | Qwen/Qwen2.5-0.5B-Instruct |
| Algorithm | simpo |
| Backend | trl |
| Artifact | adapter |
| Published | 2026-08-27 05:49 UTC |
Usage
from peft import AutoPeftModelForCausalLM
from transformers import AutoTokenizer
model = AutoPeftModelForCausalLM.from_pretrained("ram-lexsi/aligntune-testrun-SimPO")
tokenizer = AutoTokenizer.from_pretrained("ram-lexsi/aligntune-testrun-SimPO")
This repo is a LoRA adapter. Load it on top of Qwen/Qwen2.5-0.5B-Instruct (PEFT does that from adapter_config.json).
- Library
- transformers
- Created
- Aug 27, 2026
- Updated
- Aug 27, 2026