nateraw/gairmath-abel-7b 🔢📝 → 📝
Example Output
Output
The problem states that Farmer Brown has 60 animals on his farm, all either chickens or cows. He has twice as many chickens as cows. We need to find out how many legs the animals have in total.
Let's assume the number of cows is x. Since Farmer Brown has twice as many chickens as cows, the number of chickens is 2x.
The total number of animals is 60, so we can write the equation x + 2x = 60.
Simplifying this equation, we get 3x = 60.
Dividing both sides by 3, we find x = 20.
Therefore, the number of cows is 20.
Since each cow has 4 legs and each chicken has 2 legs, the total number of legs is 4 * 20 + 2 * 60 = 80 + 120 = 200.
[Final solution] Thus, the animals have a total of 200 legs. #### 200
Performance Metrics
15.04s
Prediction Time
14.99s
Total Time
All Input Parameters
{
"top_k": 50,
"top_p": 0.95,
"message": "Question:\nFarmer Brown has 60 animals on his farm, all either chickens or cows. He has twice as many chickens as cows. How many legs do the animals have, all together?\nAnswer:\nLet's think step by step.\n",
"temperature": 0.8,
"max_new_tokens": 1024
}
Input Parameters
- top_k
- The number of highest probability tokens to consider for generating the output. If > 0, only keep the top k tokens with highest probability (top-k filtering).
- top_p
- A probability threshold for generating the output. If < 1.0, only keep the top tokens with cumulative probability >= top_p (nucleus filtering). Nucleus filtering is described in Holtzman et al. (http://arxiv.org/abs/1904.09751).
- message (required)
- temperature
- The value used to modulate the next token probabilities.
- max_new_tokens
- The maximum number of tokens the model should generate as output.
Output Schema
Output
Version Details
- Version ID
08026755ceaebf00fbade61fc1ad31a063e67bcb4387925c7c82cb0d8206e2b3- Version Created
- September 25, 2023