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ram-lexsi/agenttune-agent-ops-GRPO
agenttune-agent-ops-GRPO 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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Updated Sep 10, 2026
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From the Hugging Face model README
Built using AgentTune — agentic workflows, then train / evaluate / distill / self-heal through one trajectory schema.
| Finetuned from | Qwen/Qwen3.5-4B |
| Algorithm | grpo |
| Backend | trl |
| Artifact | adapter |
| Published | 2026-09-10 20:25 UTC |
from peft import AutoPeftModelForCausalLM
from transformers import AutoTokenizer
model = AutoPeftModelForCausalLM.from_pretrained("ram-lexsi/agenttune-agent-ops-GRPO")
tokenizer = AutoTokenizer.from_pretrained("ram-lexsi/agenttune-agent-ops-GRPO")
This repo is a LoRA adapter. Load it on top of Qwen/Qwen3.5-4B (PEFT does that from adapter_config.json).
Community: Lexsi Discord