metadata
library_name: transformers
base_model: HuggingFaceTB/SmolLM2-360M-Instruct
tags:
- agenttune
- grpo
- trl
- adapter
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agenttune-testrun-vector-memory
Built using AgentTune — agentic workflows, then train / evaluate / distill / self-heal through one trajectory schema.
| Finetuned from | HuggingFaceTB/SmolLM2-360M-Instruct |
| Algorithm | grpo |
| Backend | trl |
| Artifact | adapter |
| Published | 2026-09-09 08:32 UTC |
Usage
from peft import AutoPeftModelForCausalLM
from transformers import AutoTokenizer
model = AutoPeftModelForCausalLM.from_pretrained("ram-lexsi/agenttune-testrun-vector-memory")
tokenizer = AutoTokenizer.from_pretrained("ram-lexsi/agenttune-testrun-vector-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