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The password is the link itself.
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Can you provide a sample system prompt that is specifically designed for generating prompts?
But I decided to release it — the Leo model.
This model was built from scratch by DarkPs, with a custom infrastructure and architecture specifically for Leo.
It's small, with only 0.3B parameters (approximately 299 million).
Why is the size so small?
- Because the model is specifically designed for generating prompts, and we build models for specific purposes.
It accepts 16k tokens and outputs 32k tokens, which is excellent for this function.
Leo-model
├── ~299.4M parameters
├── max input: 16,384 tokens
├── max output: 32,768 tokens
├── total context capacity: 49,152 tokens
├── hidden size: 896
├── 21 layers
├── 14 attention heads
├── 2 KV heads
├── intermediate size: 4,100
└── vocab: 32,768
Example of its function.
user:
I want a picture of a lion.
Leo:
A majestic lion standing in the African savanna,
golden-hour sunlight, detailed fur, powerful expression,
cinematic composition, realistic photography, natural
background, dramatic lighting, high detail.
{"input":"I want a picture of a lion.","output":"A majestic lion standing in the African savanna, golden-hour sunlight, detailed fur, cinematic composition, realistic photography."}
Because of its very small size, you can run it on a very weak phone or server.
You won't need to use a paid or free API that is not guaranteed for this required function.
- Don't worry, I've studied prompt writing and formatting in ways you can't imagine.
And of course, for those who don't know the benefits of releasing a local model:
It works offline, you can run it on your device, which is normal and well-known.
Your own model means you own the model files.
This applies to DarkIT and Ice models, not just Leo.
What was the reason for choosing the name Leo?
I don't know.
How many prompts was it trained on?
18 billion.
ROWS : 5BILLION
FILES CONTAIN : 14
SIZE IS 227GB
DATA TYPE : PARQUET
COLOUM NAME : name, fatherName, phoneNumber, aadharNumber, otherNumber, address, district, pincode, state, town, source
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