ritabratamaiti/instructmix-llama-3b 📝🔢 → 📝
About
InstructMix Llama 3B is a language model fine-tuned on the InstructMix dataset.
Example Output
Output
The meaning of life is an age-old question that has been debated by philosophers, scientists, and religious leaders for centuries. Some believe that life has a purpose, while others believe that it is simply a random occurrence. Ultimately, the meaning of life is a personal journey that each individual must discover for themselves.
Performance Metrics
17.28s
Prediction Time
414.59s
Total Time
All Input Parameters
{
"top_k": 40,
"top_p": 0.75,
"num_beams": 4,
"instruction": "What is the meaning of life?",
"temperature": 0.1,
"max_new_tokens": 128
}
Input Parameters
- input
- Optional context or input for the task. Used to generate a prompt if format_prompt is True.
- top_k
- The number of highest probability vocabulary tokens to keep for top-k-filtering (minimum: 1; maximum: 100)
- top_p
- When decoding text, samples from the top p percentage of most likely tokens; lower to ignore less likely tokens (minimum: 0.01; maximum: 1)
- num_beams
- Number of beams for beam search (minimum: 1; maximum: 10)
- instruction (required)
- Describes the task the model should perform. Must be provided if format_prompt is True.
- temperature
- Adjusts randomness of outputs, greater than 1 is random and 0 is deterministic. (minimum: 0.01; maximum: 5)
- max_new_tokens
- Maximum number of new tokens to generate. A word is 2-3 tokens. (minimum: 1; maximum: 512)
- response_prefix
- Optional response prefix. It will be added to the beginning of the response and will help guide the response generation.
- repetition_penalty
- Penalize repeated words. (minimum: 0.01; maximum: 5)
Output Schema
Output
Version Details
- Version ID
a5631f2884c9e16bc7018f060da3e63c1eef0e549e97ff21337f8605b6dab24e- Version Created
- August 10, 2023