Publication status
This model is not included in paper v5 and has no reconciled result in the
paper's canonical claim ledger. Its public availability should not be read as
an extension of the published Qwen 2.5 scaling or architecture claims.
The current paper and version history are available at
https://doi.org/10.5281/zenodo.17657737.
Adapter configuration
- Base model:
Qwen/Qwen3-0.6B
- Method: LoRA, rank 16, alpha 32, dropout 0.05
- Target modules:
q_proj, v_proj
- Status: experimental; evaluation incomplete for publication use
Use
from transformers import AutoModelForCausalLM, AutoTokenizerfrom peft import PeftModel base_id = "Qwen/Qwen3-0.6B"adapter_id = "closestfriend/brie-v3-qwen3-0.6b" tokenizer = AutoTokenizer.from_pretrained(base_id)base = AutoModelForCausalLM.from_pretrained(base_id, device_map="auto")model = PeftModel.from_pretrained(base, adapter_id)
This checkpoint is suitable for exploratory research, not as evidence for a
published performance claim. Verify outputs independently.
Resources