google-deepmind/gemma-3-27b-it 🖼️🔢📝 → 📝

▶️ 20.0K runs 📅 Mar 2025 ⚙️ Cog 0.13.7 🔗 GitHub 📄 Paper ⚖️ License
image-to-text text-generation text-translation

About

Gemma is a family of lightweight, state-of-the-art open models from Google, built from the same research and technology used to create the Gemini models.

Example Output

Prompt:

"What is the speed of an unladen swallow?"

Output

Ah, a classic question! As famously debated in Monty Python and the Holy Grail, determining the speed of an unladen swallow is... complicated.

Here's the breakdown:

  • European Swallow: Approximately 11 meters per second, or 24 miles per hour.
  • African Swallow: This is where it gets tricky! There's no definitive answer given in the film, and it's a point of contention. It's implied the African swallow is faster, but by how much is unknown. Some estimations, based on ornithological data, put it around 25-30 mph, but it's largely left as a humorous mystery.

The key point from the movie is that you must specify which kind of swallow you're talking about!

So, to give you the most accurate answer: An unladen European Swallow travels at roughly 24 mph.

Performance Metrics

14.96s Prediction Time
14.97s Total Time
All Input Parameters 
{
  "top_k": 50,
  "top_p": 0.9,
  "prompt": "What is the speed of an unladen swallow?",
  "temperature": 0.7,
  "system_prompt": "You are a helpful assistant.",
  "max_new_tokens": 512
}
Input Parameters
image Type: string
Optional image input for multimodal tasks
top_k Type: integerDefault: 50Range: 0 - 100
Top-k sampling
top_p Type: numberDefault: 0.9Range: 0 - 1
Top-p sampling
prompt (required) Type: string
Text prompt for the model
temperature Type: numberDefault: 0.7Range: 0 - 2
Sampling temperature
system_prompt Type: stringDefault: You are a helpful assistant.
System prompt to guide the model's behavior
max_new_tokens Type: integerDefault: 512Range: 1 - 8192
Maximum number of tokens to generate
Output Schema

Output

Type: string

Version Details
Version ID
c0f0aebe8e578c15a7531e08a62cf01206f5870e9d0a67804b8152822db58c54
Version Created
March 12, 2025
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