Instructions to use Fabrix-AI-Inc/Argos-2B-LoRA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Fabrix-AI-Inc/Argos-2B-LoRA with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("/home/rdauser/.unsloth/studio/exports/unsloth_Argos-2B") model = PeftModel.from_pretrained(base_model, "Fabrix-AI-Inc/Argos-2B-LoRA") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Argos 2B - DPO LoRA Adapter
PEFT LoRA adapter for Argos 2B, trained with Direct Preference Optimization (DPO) for Fabrix.ai / RDAF documentation citation, card-level precision, and custom widget dashboard packs.
- Base Model:
unsloth/Qwen3.5-2B(or SFTunsloth_Argos-2B) - LoRA Configuration:
r=16,alpha=32,target_modules: ["q_proj", "k_proj", "v_proj", "o_proj", "gate_proj", "up_proj", "down_proj"] - Standalone Merged 16-bit Model:
Fabrix-AI-Inc/Argos-2B
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