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qwen35-4b-codex-mobile-colab-t4-lora
MakiAi/qwen35-4b-codex-mobile-colab-t4-lora
qwen35-4b-codex-mobile-colab-t4-lora is a machine learning model from MakiAi. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for peft. The card lists the license as apache-2.0.
Small experimental LoRA adapter trained with Unsloth on Google Colab T4 via Google Colab CLI.
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Repo size
105 MB
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Repo makeup
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At a glance
- Library
- peft
- License
- apache-2.0
- Access
- Public
- Created
- Jun 6, 2026
- Updated
- Jun 6, 2026
- SHA
- 3d941c8c
Base models
Model card
From the Hugging Face model README
Qwen3.5-4B Codex Mobile Colab T4 LoRA
Small experimental LoRA adapter trained with Unsloth on Google Colab T4 via Google Colab CLI.
Base model
unsloth/Qwen3.5-4B
Experiment
- Session:
unsloth-qwen35-4b-t4 - GPU observed:
Tesla T4, 15360 MiB, 14910 MiB - Training examples:
20 - Max sequence length:
1024 - Max steps:
20 - LoRA rank:
16 - Seed:
3407 - Output folder in Colab Drive:
/content/drive/MyDrive/colab-cli-unsloth-qwen35-4b
Intended behavior
Tiny Japanese experiment-report style adapter. It nudges answers toward concise conclusions, observations, next actions, Drive-mounted saves, evidence, and reproducibility.
See comparison.md and comparison.json for before/after response checks.
- Library
- peft
- License
- apache-2.0
- Languages
- ja
- Created
- Jun 6, 2026
- Updated
- Jun 6, 2026