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CT4nk3r/
gemma4-e4b-deepresearcher-lora

Name: gemma4-e4b-deepresearcher-lora
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Gemma4 E4B Researcher LoRA

This is an experimental LoRA adapter that specializes google/gemma-4-e4b-it for research-assistant behavior: evidence-aware answers, citation discipline, uncertainty when evidence is insufficient, and concise synthesis.

This adapter is not an official Google, Alibaba, Tongyi, or DeepResearch release.

Training summary

Base model: google/gemma-4-e4b-it
Method: supervised fine-tuning with PEFT/LoRA
Teacher model: Alibaba-NLP Tongyi DeepResearch served locally through LM Studio
Bootstrap data: public WebGPT-style cited QA examples converted into chat SFT format
Distillation goal: rewrite examples into source-grounded researcher responses with explicit citations and insufficient-evidence behavior

Intended use

Use this adapter with the Gemma4 E4B base model for local research-assistant experiments where the application supplies sources, notes, or retrieved evidence and expects grounded synthesis.

Limitations

The adapter does not add factual knowledge by itself.
The model can still hallucinate, misuse citations, or overstate weak evidence.
It should be paired with retrieval, source tracking, and citation validation.
It is not suitable for high-stakes research without human review.

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python

from peft import PeftModel
from transformers import AutoModelForCausalLM, AutoTokenizer

base = "google/gemma-4-e4b-it"
adapter = "<your-username>/<repo-name>"

tokenizer = AutoTokenizer.from_pretrained(base)
model = AutoModelForCausalLM.from_pretrained(base)
model = PeftModel.from_pretrained(model, adapter)

License and data notes

Users must comply with the base model license and the terms of any datasets used during training. The training data may include public cited-QA examples and teacher-distilled outputs; verify redistribution rights before publishing data.

Progression snapshot

Snapshot: progression-20260602-cumulative-relay
Source GitHub release: https://github.com/CT4nk3r/gemma4-deepresearcher/releases/tag/progression-20260602-cumulative-relay
Clean SFT examples: 830
Raw teacher examples: 1032
Adapter source: runs\gemma4-e4b-deepresearch-lora-latest after the first cumulative --resume-adapter relay pass on 2026-06-02.
Note: training is still experimental and continuing locally; this is a progress checkpoint, not a final model.

CT4nk3r/gemma4-e4b-deepresearcher-lora