jayPark21/gemma2-2b-asadal

TEXT GENERATIONConcurrent Unit Cost:1Model Size:2.6BQuant:BF16Context Size:8kPublished:Jul 6, 2026Architecture:Transformer0.0K Featherless Exclusive Cold

jayPark21/gemma2-2b-asadal is a 2.6 billion parameter Gemma 2 model, fine-tuned and converted to GGUF format using Unsloth. This model is optimized for efficient deployment and local inference, offering a compact yet capable solution for various language tasks. Its GGUF conversion makes it highly compatible with llama.cpp-based tools and Ollama for easy integration. The model is particularly suited for applications requiring fast, resource-efficient language processing on edge devices or personal hardware.

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Overview

jayPark21/gemma2-2b-asadal is a 2.6 billion parameter Gemma 2 model that has been fine-tuned and subsequently converted into the GGUF format. This conversion was performed using Unsloth, a tool known for accelerating model training and conversion processes. The model includes an Ollama Modelfile for streamlined deployment.

Key Characteristics

  • Architecture: Based on the Gemma 2 family, specifically the 2.6 billion parameter variant.
  • Format: Provided in GGUF format, ensuring broad compatibility with llama.cpp and related tools.
  • Efficiency: The fine-tuning and conversion process with Unsloth reportedly offers 2x faster training.
  • Deployment: Includes an Ollama Modelfile for easy setup and local inference.
  • Compatibility: Adjusted BOS token behavior for optimal GGUF compatibility.

Use Cases

This model is well-suited for developers and users looking for:

  • Local Inference: Efficient execution on consumer-grade hardware or edge devices.
  • Rapid Prototyping: Quick deployment and testing of language model applications.
  • Resource-Constrained Environments: Where larger models are impractical due to computational or memory limitations.
  • GGUF Ecosystem Integration: Seamless use with llama-cli and llama-mtmd-cli tools.