DuoNeural / Gemma-4-E4B-Frontend-GGUF

huggingface.co
Total runs: 335
24-hour runs: 7
7-day runs: 34
30-day runs: -54
Model's Last Updated: April 29 2026
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Introduction of Gemma-4-E4B-Frontend-GGUF

Model Details of Gemma-4-E4B-Frontend-GGUF

Agent Gemma 4 E4B Frontend

Model Description

Agent Gemma 4 E4B Frontend is a domain-adapted version of the google/gemma-4-E4B-it model, specifically fine-tuned for front-end engineering. It is designed to be a "specialist" in React, Vue, Tailwind CSS, and modern JavaScript/TypeScript development while maintaining general reasoning and tool-use capabilities.

The "E" in E4B denotes "Effective" parameters—while the model has 8B total parameters, only 4.5B are active during the forward pass, optimized for high intelligence-per-parameter and edge-device efficiency.

Training Details
  • Base Model: google/gemma-4-E4B-it
  • Architecture: 4.5B Effective / 8B Total parameters.
  • Optimization: QLoRA (4-bit quantization with NormalFloat4, rank 16, alpha 32).
  • Framework: Unsloth for accelerated training.
  • Context Window: 128,000 tokens (trained with 2,048 max sequence length, packed).
  • Compute: NVIDIA A100-SXM4-80GB.
Data Mixture

The training follows a strategic 67.7% / 32.3% split to optimize domain expertise while preventing catastrophic forgetting:

  • 67.7% Front-End Specialization:
    • High-aesthetic Next.js/Tailwind components.
    • Rigorous React/TypeScript instructions.
    • Modern UI library integration (Shadcn UI, etc.).
  • 32.3% Regularization & Core Competency:
    • Multi-turn tool-use and reasoning traces.
    • Structured JSON and API interaction.
    • General conversational fluidity.
Intended Use

This model is intended for:

  • Production-ready code generation for React, Vue, and Tailwind CSS.
  • Multi-step reasoning for complex front-end architectural tasks.
  • Agentic workflows involving tool-use and terminal interactions.
GGUF Compatibility

This repository provides a q4_k_m GGUF version compatible with:

  • Ollama
  • LM Studio
  • llama.cpp
Capabilities
  • Thinking Mode: Natively supports internal reasoning blocks ( <|channel>thought ).
  • Modern Frameworks: Expert-level knowledge of 2026-era front-end standards (React Compiler, Edge-side rendering, etc.).
  • Long Context: Maintains architectural awareness across large component files.
Limitations
  • Not intended for heavy back-end (database/infrastructure) tasks beyond basic API integration.
  • Performance may vary for legacy front-end frameworks (e.g., jQuery, AngularJS).

Runs of DuoNeural Gemma-4-E4B-Frontend-GGUF on huggingface.co

335
Total runs
7
24-hour runs
-4
3-day runs
34
7-day runs
-54
30-day runs

More Information About Gemma-4-E4B-Frontend-GGUF huggingface.co Model

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Gemma-4-E4B-Frontend-GGUF huggingface.co

Gemma-4-E4B-Frontend-GGUF huggingface.co is an AI model on huggingface.co that provides Gemma-4-E4B-Frontend-GGUF's model effect (), which can be used instantly with this DuoNeural Gemma-4-E4B-Frontend-GGUF model. huggingface.co supports a free trial of the Gemma-4-E4B-Frontend-GGUF model, and also provides paid use of the Gemma-4-E4B-Frontend-GGUF. Support call Gemma-4-E4B-Frontend-GGUF model through api, including Node.js, Python, http.

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https://huggingface.co/DuoNeural/Gemma-4-E4B-Frontend-GGUF

DuoNeural Gemma-4-E4B-Frontend-GGUF online free

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https://huggingface.co/DuoNeural/Gemma-4-E4B-Frontend-GGUF

Gemma-4-E4B-Frontend-GGUF install

Gemma-4-E4B-Frontend-GGUF is an open source model from GitHub that offers a free installation service, and any user can find Gemma-4-E4B-Frontend-GGUF on GitHub to install. At the same time, huggingface.co provides the effect of Gemma-4-E4B-Frontend-GGUF install, users can directly use Gemma-4-E4B-Frontend-GGUF installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

Gemma-4-E4B-Frontend-GGUF install url in huggingface.co:

https://huggingface.co/DuoNeural/Gemma-4-E4B-Frontend-GGUF

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