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

---
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
---

# 🚀 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.