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aligntune-testrun-PACE
ram-lexsi/aligntune-testrun-PACE
aligntune-testrun-PACE 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.
<div align="center" <table border="0" cellspacing="0" cellpadding="0" style="border: none; border-collapse: collapse;" <tr <td align="center" style="border: none; vertical-align: middle;" <a href="https://lexsi.ai/"<i…
Access
Public
Updated Aug 27, 2026
Repo size
20.1 MB
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0
Public
Repo makeup
Click a slice to open those files.
.json11.4 MB · 57%
At a glance
- Library
- transformers
- Access
- Public
- Created
- Aug 27, 2026
- Updated
- Aug 27, 2026
- SHA
- 9aff1c02
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-PACE/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-PACE/resolve/main/aligntune_banner.png" alt="AlignTune" style="height: 60px;"/></a>
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aligntune-testrun-PACE
Built using AlignTune — supports any open-source model, any algorithm, any backend (TRL / Unsloth / ES / etc).
| Finetuned from | Qwen/Qwen2.5-0.5B |
| Algorithm | pace |
| Backend | trl |
| Artifact | adapter |
| Published | 2026-08-27 08:57 UTC |
Usage
from peft import AutoPeftModelForCausalLM
from transformers import AutoTokenizer
model = AutoPeftModelForCausalLM.from_pretrained("ram-lexsi/aligntune-testrun-PACE")
tokenizer = AutoTokenizer.from_pretrained("ram-lexsi/aligntune-testrun-PACE")
This repo is a LoRA adapter. Load it on top of Qwen/Qwen2.5-0.5B (PEFT does that from adapter_config.json).
- Library
- transformers
- Created
- Aug 27, 2026
- Updated
- Aug 27, 2026