bunnycore / Gemma4-E2B-Coding-Distill

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Total runs: 168
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7-day runs: 22
30-day runs: 133
Model's Last Updated: August 30 2026
text-generation

Introduction of Gemma4-E2B-Coding-Distill

Model Details of Gemma4-E2B-Coding-Distill

Model Card: Gemma 4 E2B — Frontier Distilled LoRA

Overview

This repository provides a Low-Rank Adaptation (LoRA) adapter for Gemma 4 E2B . The adapter was fine-tuned on a focused dataset of several thousand high-signal instruction, reasoning, and conversational samples distilled from leading frontier models.

Model Details
  • Base Model: google/gemma-4-e2b (Gemma 4 E2B)

  • Adapter Type: LoRA (Low-Rank Adaptation)

  • Primary Task: Instruction following, structured reasoning, and conversational text generation

  • Language(s): English (primary)

  • License: Open weights under the Gemma Terms of Use; Apache 2.0 for custom adapter weights

  • PEFT 0.18.1

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168
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0
24-hour runs
10
3-day runs
22
7-day runs
133
30-day runs

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Gemma4-E2B-Coding-Distill install

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Total runs: 152
Run Growth: -7
Growth Rate: -4.61%
Updated:May 25 2026