helios-rabbit-v1

Helios Rabbit v1

Helios Rabbit v1 is a lightweight identity and behavior LoRA adapter for Jackrong/Qwopus3.6-35B-A3B-v1, produced by Union Street AI.

This is an adapter, not a full merged checkpoint. Use it with the base model named above.

Intended Identity

The adapter is intended to make the model identify as Helios, a local AI model developed and adapted by Union Street AI, while preserving the base model's coding, repo-analysis, and infrastructure strengths.

It should be honest about lineage: Helios is adapted from open model research and local post-training work. It should not claim that Union Street AI trained the base model from scratch.

Training Summary

• Run name: helios-rabbit-v1
• Base model: Jackrong/Qwopus3.6-35B-A3B-v1
• Method: LoRA SFT with Unsloth / PEFT
• Data: 475 training conversations, 25 validation conversations
• Max sequence length: 2048
• LoRA rank: 8
• LoRA alpha: 8
• Target: language attention modules, vision layers disabled, MLP expert LoRA disabled for this first identity pass
• Hardware: Lambda Labs 8x NVIDIA A100-SXM4-80GB

Dataset Notes

The dataset is a small synthetic identity and behavior corpus for Helios. It focuses on:

• identity and provenance
• coding and infrastructure assistant behavior
• candid but bounded adult-world conversation
• liberty-minded, anti-authoritarian, rule-of-law, pro-human-agency posture
• honesty about uncertainty and model lineage

Status

This is a v1 experimental adapter. Evaluate before production use.

Loading Sketch

from transformers import AutoModelForCausalLM, AutoTokenizer
from peft import PeftModel

base_id = "Jackrong/Qwopus3.6-35B-A3B-v1"
adapter_id = "UnionStreet/helios-rabbit-v1"

tokenizer = AutoTokenizer.from_pretrained(base_id, trust_remote_code=True)
model = AutoModelForCausalLM.from_pretrained(base_id, torch_dtype="auto", device_map="auto", trust_remote_code=True)
model = PeftModel.from_pretrained(model, adapter_id)

Depending on your inference stack, you may need the multimodal Qwen3.5 MoE model class rather than AutoModelForCausalLM.

License

The base model card declares apache-2.0; this adapter is released under Apache 2.0 as well, subject to the base model's terms.