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ram-lexsi/agenttune-testrun-graph-memory

sourceHugging Faceupdated 14d agoView on Hugging Face
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agenttune-testrun-graph-memory

Built using AgentTune — agentic workflows, then train / evaluate / distill / self-heal through one trajectory schema.

Finetuned fromHuggingFaceTB/SmolLM2-360M-Instruct
Algorithmgrpo
Backendtrl
Artifactadapter
Published2026-09-08 09:09 UTC

Usage

python
from peft import AutoPeftModelForCausalLM
from transformers import AutoTokenizer

model = AutoPeftModelForCausalLM.from_pretrained("ram-lexsi/agenttune-testrun-graph-memory")
tokenizer = AutoTokenizer.from_pretrained("ram-lexsi/agenttune-testrun-graph-memory")

This repo is a LoRA adapter. Load it on top of HuggingFaceTB/SmolLM2-360M-Instruct (PEFT does that from adapter_config.json).

Community: Lexsi Discord