base_model, tags, license, language

base_model	tags	license	language
unsloth/gemma-3-270m-it	text-generation-inference transformers unsloth gemma3_text	apache-2.0	en

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license: apache-2.0 base_model: google/gemma-3-270m-it library_name: transformers tags:

• unsloth
• gemma-3
• emoji
• translation
• multilingual
• gguf
• edge-ai datasets:
• custom-curated-emoji-distillation

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🚀 Emojify-300M (Gemma-3-270M Fine-tuned)

Emojify-300M is a hyper-compact, specialized Large Language Model (LLM) designed for semantic text-to-emoji distillation. Based on the Gemma-3-270M-IT architecture, this model is optimized for edge computing and ultra-low latency applications.

🛠 Technical Specifications

• Architecture: Gemma-3 (270M parameters)
• Fine-tuning Method: LoRA (Low-Rank Adaptation) via Unsloth
• Context Window: 2048 tokens
• Language Support: Native Multilingual

📈 Performance & Benchmarks (Local CPU)

Tested on consumer-grade hardware (e.g., laptop CPU):

• Prompt Evaluation: ~210 tokens/s
• Token Generation (Eval): ~48 tokens/s
• Total Latency: < 500ms (near-instant response)

🎯 Key Features

• Zero-Shot Cross-Lingual Transfer: Leveraging Gemma 3's robust base weights, the model accurately processes languages not explicitly present in the fine-tuning set.
• Noise Suppression: Specifically trained to inhibit conversational filler and "hallucinated" text, focusing strictly on relevant emoji output.
• EOS Stability: Fine-tuned to respect End-of-Sequence (EOS) tokens, preventing the common "looping" behavior seen in smaller models.