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aligntune-testrun-PRM
ram-lexsi/aligntune-testrun-PRM
aligntune-testrun-PRM is a text generation model from ram-lexsi. Use it when you need the model to write or continue text. 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…
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At a glance
- Task
- Text Generation
- Library
- transformers
- Model type
- qwen2
- Access
- Public
- Created
- Aug 26, 2026
- Updated
- Aug 26, 2026
- SHA
- 5748c94e
Try a prompt
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-PRM/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-PRM/resolve/main/aligntune_banner.png" alt="AlignTune" style="height: 60px;"/></a>
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aligntune-testrun-PRM
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 | prm |
| Backend | trl |
| Artifact | model |
| Published | 2026-08-26 13:41 UTC |
Usage
from transformers import AutoModelForCausalLM, AutoTokenizer
model = AutoModelForCausalLM.from_pretrained("ram-lexsi/aligntune-testrun-PRM")
tokenizer = AutoTokenizer.from_pretrained("ram-lexsi/aligntune-testrun-PRM")
- Task
- Text Generation
- Library
- transformers
- Type
- qwen2
- Created
- Aug 26, 2026
- Updated
- Aug 26, 2026