spachava753/wizard-coder-15b-v1.0 🔢📝 → 📝
Example Output
Performance Metrics
18.34s
Prediction Time
18.30s
Total Time
Input Parameters
- n
- Number of output sequences to generate
- top_k
- When decoding text, samples from the top k tokens of most likely tokens; lower to ignore less likely tokens
- 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.
- beam_size
- Number of beams to keep track of
- max_length
- Maximum number of tokens to generate. A word is generally 2-3 tokens
- min_length
- Minimum 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
3a058afbc545430af3cbc4a6db21fd33c4dc59bb91e6b8904b5bd5cdbf99fb4f- Version Created
- June 26, 2023