gemma-3-270m: Initial.

.gitattributes

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Dockerfile

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+#
+# SPDX-FileCopyrightText: Hadad <[email protected]>
+# SPDX-License-Identifier: Apache-2.0
+#
+
+# Use a specific container image for the app
+FROM python:latest
+
+# Set the main working directory inside the container
+WORKDIR /app
+
+# Copy all files into the container
+COPY . .
+
+# Install all dependencies
+RUN pip install -r requirements.txt
+
+# Open the port so the app can be accessed
+EXPOSE 7860
+
+# Start the app
+CMD ["python", "app.py"]

README.md

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+---
+title: gemma-3-270m
+short_description: Gemma 3 (270M) run on Ollama using a single-core CPU only
+license: gemma
+emoji: ⚡
+colorFrom: red
+colorTo: red
+sdk: docker
+app_port: 7860
+pinned: false
+# Used to promote this Hugging Face Space
+models:
+- hadadrjt/JARVIS
+- agentica-org/DeepCoder-14B-Preview
+- agentica-org/DeepSWE-Preview
+- fka/awesome-chatgpt-prompts
+- black-forest-labs/FLUX.1-Kontext-dev
+- ChatDOC/OCRFlux-3B
+- deepseek-ai/DeepSeek-R1
+- deepseek-ai/DeepSeek-R1-0528
+- deepseek-ai/DeepSeek-R1-Distill-Llama-70B
+- deepseek-ai/DeepSeek-R1-Distill-Qwen-32B
+- deepseek-ai/DeepSeek-R1-0528-Qwen3-8B
+- deepseek-ai/DeepSeek-V3-0324
+- google/gemma-3-1b-it
+- google/gemma-3-27b-it
+- google/gemma-3-4b-it
+- google/gemma-3n-E4B-it
+- google/gemma-3n-E4B-it-litert-preview
+- google/medsiglip-448
+- kyutai/tts-1.6b-en_fr
+- meta-llama/Llama-3.1-8B-Instruct
+- meta-llama/Llama-3.2-3B-Instruct
+- meta-llama/Llama-3.3-70B-Instruct
+- meta-llama/Llama-4-Maverick-17B-128E-Instruct
+- meta-llama/Llama-4-Scout-17B-16E-Instruct
+- microsoft/Phi-4-mini-instruct
+- mistralai/Devstral-Small-2505
+- mistralai/Mistral-Small-3.1-24B-Instruct-2503
+- openai/webgpt_comparisons
+- openai/whisper-large-v3-turbo
+- openai/gpt-oss-120b
+- openai/gpt-oss-20b
+- Qwen/QwQ-32B
+- Qwen/Qwen2.5-VL-32B-Instruct
+- Qwen/Qwen2.5-VL-3B-Instruct
+- Qwen/Qwen2.5-VL-72B-Instruct
+- Qwen/Qwen3-235B-A22B
+- THUDM/GLM-4.1V-9B-Thinking
+- tngtech/DeepSeek-TNG-R1T2-Chimera
+- moonshotai/Kimi-K2-Instruct
+- Qwen/Qwen3-235B-A22B-Instruct-2507
+- Qwen/Qwen3-Coder-480B-A35B-Instruct
+- Qwen/Qwen3-235B-A22B-Thinking-2507
+- zai-org/GLM-4.5
+- zai-org/GLM-4.5-Air
+- zai-org/GLM-4.5V
+- deepseek-ai/DeepSeek-V3.1
+- deepseek-ai/DeepSeek-V3.1-Base
+- microsoft/VibeVoice-1.5B
+- xai-org/grok-2
+- Qwen/Qwen-Image-Edit
+- ByteDance-Seed/Seed-OSS-36B-Instruct
+- google/gemma-3-270m
+- google/gemma-3-270m-it
+- openbmb/MiniCPM-V-4_5
+- tencent/Hunyuan-MT-7B
+- meituan-longcat/LongCat-Flash-Chat
+- Phr00t/WAN2.2-14B-Rapid-AllInOne
+# Used to promote this Hugging Face Space
+datasets:
+- fka/awesome-chatgpt-prompts
+---

app.py

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+#
+# SPDX-FileCopyrightText: Hadad <[email protected]>
+# SPDX-License-Identifier: Apache-2.0
+#
+
+import os  # Used for accessing environment variables
+import gradio as gr  # Used to create the user interface
+
+# Gradio user interface
+with gr.Blocks(
+    fill_height=True,  # Adjusting to the height of the user's screen
+    fill_width=True  # Adjusting to the width of the user's screen
+) as app:
+    # Sidebar
+    with gr.Sidebar():
+        # Project description
+        gr.HTML(
+            """
+            This space run the <b><a href=
+            "https://huggingface.co/google/gemma-3-270m" 
+            target="_blank">Gemma 3 (270M)</a></b> model from 
+            <b>Google</b>, hosted on a server using <b>Ollama</b> and 
+            accessed via <b>OpenAI-Style inference.</b><br><br>
+            Official <b>documentation</b> for using Ollama with 
+            OpenAI-Style inference can be found 
+            <b><a href="https://ollama.com/blog/openai-compatibility" 
+            target="_blank">here</a></b>.<br><br>
+            Gemma 3 (270M) run entirely on <b>CPU</b>, utilizing only a 
+            <b>single core</b>. This is sufficient due to the small 
+            size of the model, which makes it possible to operate 
+            efficiently on minimal hardware.<br><br>
+            The Gemma 3 (270M) model can be viewed or downloaded from 
+            the official Ollama website, 
+            <b><a href="https://ollama.com/library/gemma3:270m" 
+            target="_blank">here</a></b>.<br><br>
+            Gemma 3 has multimodal capabilities. However, running on 
+            CPU with a small number of parameters may limit its 
+            understanding of context. For this reason, the 
+            upload functionality has been disabled.<br><br>
+            <b>Like this project? Feel free to buy me a <a href=
+            "https://ko-fi.com/hadad" target="_blank">
+            coffee</a></b>.
+            """
+        )
+    # Load chat interface
+    gr.load_chat(
+        os.getenv("OLLAMA_API_BASE_URL"),  # Endpoint
+        token=os.getenv("OLLAMA_API_KEY"),  # API Key
+        model="gemma3:270m",  # Model
+        chatbot=gr.Chatbot(
+            label="Ollama | Gemma 3 (270M)",  # Chatbot title
+            type="messages",  # OpenAI-style messages format
+            show_copy_button=True,  # Allow users to copy responses
+            scale=1  # Standard display scaling
+        ),
+        file_types=None,  # Disable multimodal
+        examples=[
+            ["Please introduce yourself."],
+            ["What caused World War II?"],
+            ["Give me a short introduction to large language model."],
+            ["Explain about quantum computers."]
+        ],  # Provide sample inputs for users to try
+        cache_examples=False,  # Ensure responses always fresh
+        show_api=False  # Disable Gradio API
+    )
+
+# Start the app
+app.launch(
+    server_name="0.0.0.0",  # Listen on all network interfaces
+    pwa=True  # Progressive Web App
+)

requirements.txt

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+gradio[oauth,mcp]
+openai