Kaggle Qwen3 (14B) Reasoning Conversational

🦥 Unsloth: Will patch your computer to enable 2x faster free finetuning.
🦥 Unsloth Zoo will now patch everything to make training faster!
==((====))==  Unsloth 2025.5.9: Fast Qwen3 patching. Transformers: 4.51.3.
   \\   /|    Tesla T4. Num GPUs = 1. Max memory: 14.741 GB. Platform: Linux.
O^O/ \_/ \    Torch: 2.6.0+cu124. CUDA: 7.5. CUDA Toolkit: 12.4. Triton: 3.2.0
\        /    Bfloat16 = FALSE. FA [Xformers = 0.0.29.post3. FA2 = False]
 "-____-"     Free license: http://github.com/unslothai/unsloth
Unsloth: Fast downloading is enabled - ignore downloading bars which are red colored!

model.safetensors.index.json:   0%|          | 0.00/168k [00:00<?, ?B/s]

model-00001-of-00003.safetensors:   0%|          | 0.00/4.97G [00:00<?, ?B/s]

model-00002-of-00003.safetensors:   0%|          | 0.00/4.59G [00:00<?, ?B/s]

model-00003-of-00003.safetensors:   0%|          | 0.00/1.56G [00:00<?, ?B/s]

Loading checkpoint shards:   0%|          | 0/3 [00:00<?, ?it/s]

generation_config.json:   0%|          | 0.00/237 [00:00<?, ?B/s]

tokenizer_config.json:   0%|          | 0.00/10.5k [00:00<?, ?B/s]

vocab.json:   0%|          | 0.00/2.78M [00:00<?, ?B/s]

merges.txt:   0%|          | 0.00/1.67M [00:00<?, ?B/s]

added_tokens.json:   0%|          | 0.00/707 [00:00<?, ?B/s]

special_tokens_map.json:   0%|          | 0.00/614 [00:00<?, ?B/s]

tokenizer.json:   0%|          | 0.00/11.4M [00:00<?, ?B/s]

chat_template.jinja:   0%|          | 0.00/4.67k [00:00<?, ?B/s]

Unsloth 2025.5.9 patched 40 layers with 40 QKV layers, 40 O layers and 40 MLP layers.

README.md:   0%|          | 0.00/603 [00:00<?, ?B/s]

0000.parquet:   0%|          | 0.00/106M [00:00<?, ?B/s]

Generating cot split:   0%|          | 0/19252 [00:00<?, ? examples/s]

README.md:   0%|          | 0.00/982 [00:00<?, ?B/s]

train-00000-of-00001.parquet:   0%|          | 0.00/117M [00:00<?, ?B/s]

Generating train split:   0%|          | 0/100000 [00:00<?, ? examples/s]

Dataset({
,    features: ['expected_answer', 'problem_type', 'problem_source', 'generation_model', 'pass_rate_72b_tir', 'problem', 'generated_solution', 'inference_mode'],
,    num_rows: 19252
,})

Dataset({
,    features: ['conversations', 'source', 'score'],
,    num_rows: 100000
,})

Map:   0%|          | 0/19252 [00:00<?, ? examples/s]

"<|im_start|>user\nGiven $\\sqrt{x^2+165}-\\sqrt{x^2-52}=7$ and $x$ is positive, find all possible values of $x$.<|im_end|>\n<|im_start|>assistant\n<think>\nOkay, let's see. I need to solve the equation √(x² + 165) - √(x² - 52) = 7, and find all positive values of x. Hmm, radicals can be tricky, but maybe if I can eliminate the square roots by squaring both sides. Let me try that.\n\nFirst, let me write down the equation again to make sure I have it right:\n\n√(x² + 165) - √(x² - 52) = 7.\n\nOkay, so the idea is to isolate one of the radicals and then square both sides. Let me try moving the second radical to the other side:\n\n√(x² + 165) = 7 + √(x² - 52).\n\nNow, if I square both sides, maybe I can get rid of the square roots. Let's do that:\n\n(√(x² + 165))² = (7 + √(x² - 52))².\n\nSimplifying the left side:\n\nx² + 165 = 49 + 14√(x² - 52) + (√(x² - 52))².\n\nThe right side is expanded using the formula (a + b)² = a² + 2ab + b². So the right side becomes 7² + 2*7*√(x² - 52) + (√(x² - 52))², which is 49 + 14√(x² - 52) + (x² - 52).\n\nSo putting it all together:\n\nx² + 165 = 49 + 14√(x² - 52) + x² - 52.\n\nHmm, let's simplify the right side. The x² terms will cancel out, right? Let's subtract x² from both sides:\n\n165 = 49 + 14√(x² - 52) - 52.\n\nSimplify the constants on the right:\n\n49 - 52 is -3, so:\n\n165 = -3 + 14√(x² - 52).\n\nNow, add 3 to both sides to isolate the radical term:\n\n165 + 3 = 14√(x² - 52).\n\nSo 168 = 14√(x² - 52).\n\nDivide both sides by 14:\n\n168 / 14 = √(x² - 52).\n\n12 = √(x² - 52).\n\nNow, square both sides again to eliminate the square root:\n\n12² = x² - 52.\n\n144 = x² - 52.\n\nAdd 52 to both sides:\n\n144 + 52 = x².\n\n196 = x².\n\nSo x = √196 = 14.\n\nBut wait, since the problem states that x is positive, we only take the positive root. So x = 14.\n\nBut hold on, when dealing with squaring equations, sometimes extraneous solutions can come up. I should check if this solution actually satisfies the original equation.\n\nLet's plug x = 14 back into the original equation:\n\n√(14² + 165) - √(14² - 52) = ?\n\nCalculate each term:\n\n14² is 196.\n\nSo first radical: √(196 + 165) = √361 = 19.\n\nSecond radical: √(196 - 52) = √144 = 12.\n\nSo 19 - 12 = 7, which is exactly the right-hand side. So yes, it checks out.\n\nTherefore, the only solution is x = 14. Since the problem says x is positive, we don't have to consider negative roots. So I think that's the answer.\n</think>\n\nTo solve the equation \\(\\sqrt{x^2 + 165} - \\sqrt{x^2 - 52} = 7\\) for positive \\(x\\), we proceed as follows:\n\n1. Start with the given equation:\n   \\[\n   \\sqrt{x^2 + 165} - \\sqrt{x^2 - 52} = 7\n   \\]\n\n2. Isolate one of the square roots by moving \\(\\sqrt{x^2 - 52}\\) to the right side:\n   \\[\n   \\sqrt{x^2 + 165} = 7 + \\sqrt{x^2 - 52}\n   \\]\n\n3. Square both sides to eliminate the square root on the left:\n   \\[\n   (\\sqrt{x^2 + 165})^2 = (7 + \\sqrt{x^2 - 52})^2\n   \\]\n   Simplifying both sides, we get:\n   \\[\n   x^2 + 165 = 49 + 14\\sqrt{x^2 - 52} + (x^2 - 52)\n   \\]\n\n4. Combine like terms on the right side:\n   \\[\n   x^2 + 165 = x^2 - 52 + 49 + 14\\sqrt{x^2 - 52}\n   \\]\n   Simplifying further:\n   \\[\n   x^2 + 165 = x^2 - 3 + 14\\sqrt{x^2 - 52}\n   \\]\n\n5. Subtract \\(x^2\\) from both sides:\n   \\[\n   165 = -3 + 14\\sqrt{x^2 - 52}\n   \\]\n\n6. Add 3 to both sides to isolate the term with the square root:\n   \\[\n   168 = 14\\sqrt{x^2 - 52}\n   \\]\n\n7. Divide both sides by 14:\n   \\[\n   12 = \\sqrt{x^2 - 52}\n   \\]\n\n8. Square both sides again to eliminate the square root:\n   \\[\n   12^2 = x^2 - 52\n   \\]\n   Simplifying:\n   \\[\n   144 = x^2 - 52\n   \\]\n\n9. Add 52 to both sides to solve for \\(x^2\\):\n   \\[\n   196 = x^2\n   \\]\n\n10. Take the positive square root (since \\(x\\) is positive):\n    \\[\n    x = \\sqrt{196} = 14\n    \\]\n\n11. Verify the solution by substituting \\(x = 14\\) back into the original equation:\n    \\[\n    \\sqrt{14^2 + 165} - \\sqrt{14^2 - 52} = \\sqrt{196 + 165} - \\sqrt{196 - 52} = \\sqrt{361} - \\sqrt{144} = 19 - 12 = 7\n    \\]\n    The solution checks out.\n\nThus, the only positive solution is:\n\\[\n\\boxed{14}\n\\]<|im_end|>\n"

Unsloth: Standardizing formats (num_proc=2):   0%|          | 0/100000 [00:00<?, ? examples/s]

'<|im_start|>user\nExplain what boolean operators are, what they do, and provide examples of how they can be used in programming. Additionally, describe the concept of operator precedence and provide examples of how it affects the evaluation of boolean expressions. Discuss the difference between short-circuit evaluation and normal evaluation in boolean expressions and demonstrate their usage in code. \n\nFurthermore, add the requirement that the code must be written in a language that does not support short-circuit evaluation natively, forcing the test taker to implement their own logic for short-circuit evaluation.\n\nFinally, delve into the concept of truthiness and falsiness in programming languages, explaining how it affects the evaluation of boolean expressions. Add the constraint that the test taker must write code that handles cases where truthiness and falsiness are implemented differently across different programming languages.<|im_end|>\n<|im_start|>assistant\n<think>\n\n</think>\n\nBoolean operators are logical operators used in programming to manipulate boolean values. They operate on one or more boolean operands and return a boolean result. The three main boolean operators are "AND" (&&), "OR" (||), and "NOT" (!).\n\nThe "AND" operator returns true if both of its operands are true, and false otherwise. For example:\n\n```python\nx = 5\ny = 10\nresult = (x > 0) and (y < 20)  # This expression evaluates to True\n```\n\nThe "OR" operator returns true if at least one of its operands is true, and false otherwise. For example:\n\n```python\nx = 5\ny = 10\nresult = (x > 0) or (y < 20)  # This expression evaluates to True\n```\n\nThe "NOT" operator negates the boolean value of its operand. It returns true if the operand is false, and false if the operand is true. For example:\n\n```python\nx = 5\nresult = not (x > 10)  # This expression evaluates to True\n```\n\nOperator precedence refers to the order in which operators are evaluated in an expression. It ensures that expressions are evaluated correctly. In most programming languages, logical AND has higher precedence than logical OR. For example:\n\n```python\nresult = True or False and False  # This expression is evaluated as (True or (False and False)), which is True\n```\n\nShort-circuit evaluation is a behavior where the second operand of a logical operator is not evaluated if the result can be determined based on the value of the first operand. In short-circuit evaluation, if the first operand of an "AND" operator is false, the second operand is not evaluated because the result will always be false. Similarly, if the first operand of an "OR" operator is true, the second operand is not evaluated because the result will always be true.\n\nIn programming languages that support short-circuit evaluation natively, you can use it to improve performance or avoid errors. For example:\n\n```python\nif x != 0 and (y / x) > 10:\n    # Perform some operation\n```\n\nIn languages without native short-circuit evaluation, you can implement your own logic to achieve the same behavior. Here\'s an example in pseudocode:\n\n```\nif x != 0 {\n    if (y / x) > 10 {\n        // Perform some operation\n    }\n}\n```\n\nTruthiness and falsiness refer to how non-boolean values are evaluated in boolean contexts. In many programming languages, non-zero numbers and non-empty strings are considered truthy, while zero, empty strings, and null/None values are considered falsy.\n\nWhen evaluating boolean expressions, truthiness and falsiness come into play. For example:\n\n```python\nx = 5\nresult = x  # The value of x is truthy, so result is also truthy\n```\n\nTo handle cases where truthiness and falsiness are implemented differently across programming languages, you can explicitly check the desired condition. For example:\n\n```python\nx = 5\nresult = bool(x)  # Explicitly converting x to a boolean value\n```\n\nThis ensures that the result is always a boolean value, regardless of the language\'s truthiness and falsiness rules.<|im_end|>\n'

19252
100000

19252
6417
0.2499902606256574

Unsloth: Tokenizing ["text"] (num_proc=2):   0%|          | 0/25669 [00:00<?, ? examples/s]

GPU = Tesla T4. Max memory = 14.741 GB.
11.898 GB of memory reserved.

==((====))==  Unsloth - 2x faster free finetuning | Num GPUs used = 1
   \\   /|    Num examples = 25,669 | Num Epochs = 1 | Total steps = 30
O^O/ \_/ \    Batch size per device = 2 | Gradient accumulation steps = 4
\        /    Data Parallel GPUs = 1 | Total batch size (2 x 4 x 1) = 8
 "-____-"     Trainable parameters = 128,450,560/14,000,000,000 (0.92% trained)

Unsloth: Will smartly offload gradients to save VRAM!

2476.6345 seconds used for training.
41.28 minutes used for training.
Peak reserved memory = 14.508 GB.
Peak reserved memory for training = 2.61 GB.
Peak reserved memory % of max memory = 98.419 %.
Peak reserved memory for training % of max memory = 17.706 %.

To solve the equation (x + 2)^2 = 0, we can take the square root of both sides.

sqrt((x + 2)^2) = sqrt(0)

This simplifies to:

|x + 2| = 0

Since the absolute value of a number is always non-negative, the only way for |x + 2| to be 0 is if x + 2 = 0.

Therefore, x = -2.

So the solution to the equation (x + 2)^2 = 0 is x = -2.<|im_end|>

<think>
Okay, so I need to solve the equation (x + 2)^2 = 0. Hmm, let's see. I remember that when you have something squared equals zero, the solution is usually the value that makes the inside zero. Let me think. If I have (something)^2 = 0, then that something must be zero because any real number squared is non-negative, and the only way it can be zero is if the number itself is zero. So applying that here, (x + 2)^2 = 0 implies that x + 2 = 0. Then, solving for x, I just subtract 2 from both sides, right? So x = -2. Wait, is that all? Let me check. If I plug x = -2 back into the original equation, it becomes (-2 + 2)^2 = 0, which is 0^2 = 0, and that's correct. So the solution is x = -2. But wait, sometimes when you square both sides of an equation, you can get extraneous solutions, but in this case, since we started with the square already, maybe there's only one solution. Yeah, because squaring a real number can't give a negative result, so the only solution is when the inside is zero. So I think that's it. x = -2 is the only solution. Let me just make sure I didn't miss anything. The equation is a quadratic, but since it's a perfect square, it has a repeated root. So the solution is x = -2 with multiplicity two, but in terms of real solutions, it's just x = -2. Yeah, that makes sense. So the answer is x = -2.
</think>

To solve the equation \((x + 2)^2 = 0\), we start by recognizing that a square of a real number is zero only if the number itself is zero. Therefore, we set the expression inside the square equal to zero:

\[
x + 2 = 0
\]

Solving for \(x\), we subtract 2 from both sides:

\[
x = -2
\]

To verify, substitute \(x = -2\) back into the original equation:

\[
(-2 + 2)^2 = 0^2 = 0
\]

This confirms that \(x = -2\) is indeed the solution. Since the equation is a perfect square, the solution \(x = -2\) has multiplicity two, but as a real solution, it is simply \(x = -2\).

\[
\boxed{-2}
\]<|im_end|>

('lora_model/tokenizer_config.json',
, 'lora_model/special_tokens_map.json',
, 'lora_model/vocab.json',
, 'lora_model/merges.txt',
, 'lora_model/added_tokens.json',
, 'lora_model/tokenizer.json')