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Model: razy101/emojify-300m
Source: Original Platform

.gitattributes

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+*.arrow filter=lfs diff=lfs merge=lfs -text
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README.md

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+---
+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.

added_tokens.json

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+{
+  "<image_soft_token>": 262144
+}

chat_template.jinja

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+{{ bos_token }}
+{%- if messages[0]['role'] == 'system' -%}
+    {%- if messages[0]['content'] is string -%}
+        {%- set first_user_prefix = messages[0]['content'] + '
+
+' -%}
+    {%- else -%}
+        {%- set first_user_prefix = messages[0]['content'][0]['text'] + '
+
+' -%}
+    {%- endif -%}
+    {%- set loop_messages = messages[1:] -%}
+{%- else -%}
+    {%- set first_user_prefix = "" -%}
+    {%- set loop_messages = messages -%}
+{%- endif -%}
+{%- for message in loop_messages -%}
+    {%- if (message['role'] == 'user') != (loop.index0 % 2 == 0) -%}
+        {{ raise_exception("Conversation roles must alternate user/assistant/user/assistant/...") }}
+    {%- endif -%}
+    {%- if (message['role'] == 'assistant') -%}
+        {%- set role = "model" -%}
+    {%- else -%}
+        {%- set role = message['role'] -%}
+    {%- endif -%}
+    {{ '<start_of_turn>' + role + '
+' + (first_user_prefix if loop.first else "") }}
+    {%- if message['content'] is string -%}
+        {{ message['content'] | trim }}
+    {%- elif message['content'] is iterable -%}
+        {%- for item in message['content'] -%}
+            {%- if item['type'] == 'image' -%}
+                {{ '<start_of_image>' }}
+            {%- elif item['type'] == 'text' -%}
+                {{ item['text'] | trim }}
+            {%- endif -%}
+        {%- endfor -%}
+    {%- else -%}
+        {{ raise_exception("Invalid content type") }}
+    {%- endif -%}
+    {{ '<end_of_turn>
+' }}
+{%- endfor -%}
+{%- if add_generation_prompt -%}
+    {{ '<start_of_turn>model
+' }}
+{%- endif -%}

config.json

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+{
+    "_sliding_window_pattern": 6,
+    "architectures": [
+        "Gemma3ForCausalLM"
+    ],
+    "attention_bias": false,
+    "attention_dropout": 0.0,
+    "attn_logit_softcapping": null,
+    "bos_token_id": 2,
+    "torch_dtype": "float16",
+    "eos_token_id": 106,
+    "final_logit_softcapping": null,
+    "head_dim": 256,
+    "hidden_activation": "gelu_pytorch_tanh",
+    "hidden_size": 640,
+    "initializer_range": 0.02,
+    "intermediate_size": 2048,
+    "layer_types": [
+        "sliding_attention",
+        "sliding_attention",
+        "sliding_attention",
+        "sliding_attention",
+        "sliding_attention",
+        "full_attention",
+        "sliding_attention",
+        "sliding_attention",
+        "sliding_attention",
+        "sliding_attention",
+        "sliding_attention",
+        "full_attention",
+        "sliding_attention",
+        "sliding_attention",
+        "sliding_attention",
+        "sliding_attention",
+        "sliding_attention",
+        "full_attention"
+    ],
+    "max_position_embeddings": 32768,
+    "model_name": "unsloth/gemma-3-270m-it",
+    "model_type": "gemma3_text",
+    "num_attention_heads": 4,
+    "num_hidden_layers": 18,
+    "num_key_value_heads": 1,
+    "pad_token_id": 0,
+    "query_pre_attn_scalar": 256,
+    "rms_norm_eps": 1e-06,
+    "rope_local_base_freq": 10000.0,
+    "rope_scaling": null,
+    "rope_theta": 1000000.0,
+    "sliding_window": 512,
+    "unsloth_fixed": true,
+    "unsloth_version": "2026.4.2",
+    "use_bidirectional_attention": false,
+    "use_cache": true,
+    "vocab_size": 262144
+}

model.safetensors

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+version https://git-lfs.github.com/spec/v1
+oid sha256:e4b57da306d4afd837233d6e76f5b59c0ef027835b90340d42ea14413bf62ff1
+size 536223056

special_tokens_map.json

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+{
+  "boi_token": "<start_of_image>",
+  "bos_token": {
+    "content": "<bos>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "eoi_token": "<end_of_image>",
+  "eos_token": {
+    "content": "<end_of_turn>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "image_token": "<image_soft_token>",
+  "pad_token": {
+    "content": "<pad>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "unk_token": {
+    "content": "<unk>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  }
+}

tokenizer.json

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+size 33384568

tokenizer.model

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