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▶️ 9.2K runs 📅 Mar 2025 ⚙️ Cog 0.13.7 🔗 GitHub 📄 Paper ⚖️ License

code-generation reasoning text-generation

About

QwQ is the reasoning model of the Qwen series. Compared with conventional instruction-tuned models, QwQ, which is capable of thinking and reasoning

Example Output

Prompt:

"How many r's are in the word: strawberry"

Output

Let's see. The word is "strawberry." I need to find out how many 'r's are in it. Okay, first, I'll look at the word: s-t-r-a-w-b-e-r-r-y. So, I can see that there are 'r's in there. Let me count them one by one.

First letter: s, not an 'r'.

Second letter: t, not an 'r'.

Third letter: r, that's one 'r'.

Fourth letter: a, not an 'r'.

Fifth letter: w, not an 'r'.

Sixth letter: b, not an 'r'.

Seventh letter: e, not an 'r'.

Eighth letter: r, that's another 'r'.

Ninth letter: r, yet another 'r'.

Tenth letter: y, not an 'r'.

So, I've found three 'r's in the word "strawberry." Wait, but I remember that 'r' appears multiple times. Let me double-check.

S-t-r-a-w-b-e-r-r-y.

First 'r' is the third letter.

Second 'r' is the eighth letter.

Third 'r' is the ninth letter.

Yes, that's three 'r's. I think that's correct.

Alternatively, I could think about the pronunciation or the spelling, but really, it's just a matter of counting the occurrences of the letter 'r' in the word.

So, the answer should be three.

Final Answer

[ \boxed{3} ]

Performance Metrics

10.70s Prediction Time

127.26s Total Time

All Input Parameters

{
  "seed": 42,
  "top_p": 1,
  "prompt": "How many r's are in the word: strawberry",
  "max_tokens": 512,
  "temperature": 0.6,
  "repeat_penalty": 1
}

Input Parameters

seed Type: integerDefault: 42: 0 for Random seed
top_p Type: numberDefault: 1Range: 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 - 32768: Maximum number of tokens it is allowed to generate
temperature Type: numberDefault: 0.6Range: 0 - 2: Controls randomness. Lower values make the model more deterministic, higher values make it more random.
repeat_penalty Type: numberDefault: 1Range: 0 - 2: Helps to reduce the repetition of tokens from the input. A higher value makes the model less likely to repeat tokens

Output Schema

Output

Type: array • Items Type: string

Example Execution Logs

Using seed: 42

Version Details

Version ID: 5a9425923f3ef1101dc663609a80cbd597dea6554a6b0c06483b949cb72603ed
Version Created: March 6, 2025

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