the81coder/gemma-3-1b-it-reasoning
TEXT GENERATIONConcurrency Cost:1Model Size:1BQuant:BF16Ctx Length:32kPublished:Mar 13, 2026Architecture:Transformer Warm
The81coder's gemma-3-1b-it-reasoning is a 1 billion parameter Gemma 3 instruction-tuned model, fine-tuned from google/gemma-3-1b-it. It is specifically optimized for step-by-step reasoning tasks, leveraging the Opus-4.6-Reasoning-3000x-filtered dataset. This model is designed for English language applications requiring robust logical inference and problem-solving capabilities. With a context length of 32768 tokens, it can process extensive reasoning prompts.
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Overview
This model, developed by the81coder, is a fine-tuned version of Google's Gemma 3 1B instruction-tuned model (google/gemma-3-1b-it). Its primary optimization is for step-by-step reasoning tasks.
Key Capabilities
- Enhanced Reasoning: Specifically trained on the
nohurry/Opus-4.6-Reasoning-3000x-filtereddataset to improve logical inference. - Gemma 3 Architecture: Benefits from the underlying Gemma 3 model's capabilities.
- English Language Support: Designed for tasks in the English language.
- QLoRA Fine-tuning: Utilizes QLoRA for efficient fine-tuning, with specific configurations including a learning rate of 1e-5 and bfloat16 precision.
Good For
- Applications requiring models to break down problems and provide detailed, logical solutions.
- Tasks where explicit step-by-step explanations are crucial.
- Developers looking for a compact, reasoning-focused model based on the Gemma architecture.