agenttune-testrun-selfheal

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


Finetuned from	HuggingFaceTB/SmolLM2-360M-Instruct
Algorithm	dpo
Backend	trl
Artifact	adapter
Published	2026-09-09 12:12 UTC

Usage

from peft import AutoPeftModelForCausalLM
from transformers import AutoTokenizer

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

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

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Model tree for ram-lexsi/agenttune-testrun-selfheal

Base model

HuggingFaceTB/SmolLM2-360M

Quantized

HuggingFaceTB/SmolLM2-360M-Instruct

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(177)

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