DarksitoBest/Gemma3-4b-LuauV1.4

VISIONConcurrent Unit Cost:1Model Size:4.3BQuant:BF16Context Size:32kPublished:Jul 6, 2026Architecture:Transformer Featherless Exclusive Cold

DarksitoBest/Gemma3-4b-LuauV1.4 is a 4.3 billion parameter Gemma-based language model, fine-tuned and converted to GGUF format using Unsloth. This model is optimized for efficient deployment and usage, offering GGUF files for both text-only and multimodal applications. Its development leveraged Unsloth for faster training, making it suitable for various inference tasks.

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Overview

DarksitoBest/Gemma3-4b-LuauV1.4 is a 4.3 billion parameter model built on the Gemma architecture. It has been fine-tuned and subsequently converted into the GGUF format, a process facilitated by the Unsloth library, which also enabled a 2x faster training speed. This model is designed for efficient deployment and compatibility with llama-cli and llama-mtmd-cli tools.

Key Capabilities

  • Gemma Architecture: Leverages the robust Gemma base model for language understanding and generation.
  • GGUF Format: Provided in GGUF format, ensuring broad compatibility with various inference engines and hardware.
  • Optimized for Deployment: Includes specific GGUF files for different use cases, such as Gemma3-4b-LuauV1.2.Q8_0.gguf for quantized inference and Gemma3-4b-LuauV1.2.BF16-mmproj.gguf for multimodal applications.
  • Unsloth Integration: Benefits from Unsloth's optimizations for faster fine-tuning and efficient model conversion.

Usage Considerations

  • Text-only LLMs: Can be used with llama-cli for standard language model tasks.
  • Multimodal Models: Supports multimodal applications via llama-mtmd-cli when using the appropriate GGUF file.
  • BOS Token Adjustment: The model's Beginning-Of-Sentence (BOS) token behavior has been adjusted to ensure proper GGUF compatibility.