own-ai/oasst-falcon-7b-sft-top1-696 🔢📝 → 📝
About
Example Output
Prompt:
"<|prompter|>What is a meme, and what's the history behind this word?<|endoftext|><|assistant|>"
Output
What is a meme, and what's the history behind this word?A meme is a unit of cultural information, such as a behavior, style, or idea, that spreads from person to person within a population. It's often passed on in the form of jokes, images, videos, or other forms of non-verbal communication. The word "meme" was first used by Richard Dawkins in his 1976 book "The Selfish Gene," where he defined it as a unit of cultural transmission that replicates itself in the minds of individuals. The term quickly gained popularity in the 1990s, with its use becoming especially prevalent on the internet. Today, memes are widely used to express ideas, share humor, and create social connections.
Performance Metrics
9.17s
Prediction Time
9.14s
Total Time
All Input Parameters
{ "n": 1, "top_p": 0.95, "prompt": "<|prompter|>What is a meme, and what's the history behind this word?<|endoftext|><|assistant|>", "max_length": 512, "temperature": 0.75, "repetition_penalty": 1.03 }
Input Parameters
- n
- Number of output sequences to generate
- top_p
- When decoding text, samples from the top p percentage of most likely tokens; lower to ignore less likely tokens
- prompt (required)
- Text prompt to send to the model.
- max_length
- Maximum number of tokens to generate. A word is generally 2-3 tokens
- temperature
- Adjusts randomness of outputs, greater than 1 is random and 0 is deterministic, 0.75 is a good starting value.
- repetition_penalty
- Penalty for repeated words in generated text; 1 is no penalty, values greater than 1 discourage repetition, less than 1 encourage it.
Output Schema
Output
Version Details
- Version ID
53032738862a3285f1517b2d2d92e82fe76dede87ba654956dd1e2eae4aa549c
- Version Created
- June 20, 2023