justmalhar/meta-llama-3.2-3b 🔢📝 → 📝

▶️ 2.7K runs 📅 Sep 2024 ⚙️ Cog 0.9.8
code-generation text-generation text-translation

About

Meta Llama 3.2 1B

Example Output

Prompt:

"how many s in mississippi. think step by step"

Output

To determine the number of S's in "Mississippi", let's break it down:

  1. We have two words: "Miss" and "Mississippi".
  2. Each word starts with an "M", then has one "I", followed by "S".
  3. In the first word, "Miss", there is only 1 "S".
  4. In the second word, "Mississippi", there are three S's.
  5. Now, let's add up the total number of S's: 1 (from "Miss") + 3 (from "Mississippi") = 4

So, the correct answer is: There are 4 S's in "Mississippi".

Performance Metrics

1.02s Prediction Time
1.12s Total Time
All Input Parameters 
{
  "top_p": 0.95,
  "prompt": "how many s in mississippi. think step by step",
  "max_tokens": 512,
  "temperature": 0.7
}
Input Parameters
top_p Type: numberDefault: 0.95Range: 0 - 1
Controls diversity of the output. Lower values make the output more focused, higher values make it more diverse.
prompt (required) Type: string
Input text for the model
max_tokens Type: integerDefault: 512Range: 1 - ∞
Maximum number of tokens to generate
temperature Type: numberDefault: 0.7Range: 0 - 1
Controls randomness. Lower values make the model more deterministic, higher values make it more random.
Output Schema

Output

Type: array • Items Type: string

Example Execution Logs 
Total runtime: 0.9436671733856201
Version Details
Version ID
5c11ba722650525b0ab1a877d1fde44c5dab7445072e9e8e1a6a47ec2026a4d4
Version Created
September 26, 2024
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