--- base_model: unsloth/Qwen3-8B-unsloth-bnb-4bit tags: - text-generation-inference - transformers - unsloth - qwen3 - trl license: apache-2.0 language: - en datasets: - ping98k/squad-qwq-recall-1k --- ผลเหมือนกับ ping98k/qwen3-8b-recall-writer-4e-2e5 เพื่มเติมคือ 2e4 ลืมวิธีตอบคำถาม math ```py messages = [ {"role" : "user", "content" : "Solve (x + 2)^2 = 0."} ] text = tokenizer.apply_chat_template( messages, tokenize = False, add_generation_prompt = True, # Must add for generation enable_thinking = False, # Disable thinking ) from transformers import TextStreamer _ = model.generate( **tokenizer(text, return_tensors = "pt").to("cuda"), max_new_tokens = 256, # Increase for longer outputs! temperature = 0.7, top_p = 0.8, top_k = 20, # For non thinking streamer = TextStreamer(tokenizer, skip_prompt = True), ) ``` # ping98k/qwen3-8b-recall-writer-4e-2e4 ``` Okay, so I need to solve the equation (x + 2)² = 0. Hmm, let me think. First, I remember that squaring a term means multiplying it by itself. So (x + 2) squared would be (x + 2)(x + 2). Maybe I can expand that to make it easier to solve? Let me try expanding it. Using the distributive property (FOIL method), first terms: x * x = x². Outer terms: x * 2 = 2x. Inner terms: 2 * x = 2x. Last terms: 2 * 2 = 4. Adding those up: x² + 2x + 2x + 4. Combine like terms: 2x + 2x is 4x, so it becomes x² + 4x + 4. So the equation is x² + 4x + 4 = 0. Wait, but maybe there's a simpler way? Since it's a square equal to zero, maybe I can take the square root of both sides? Let me recall: if a² = 0, then a must be 0 because the square of a real number is zero ``` # ping98k/qwen3-8b-recall-writer-4e-2e5 ``` We are given the equation: $$ (x + 2)^2 = 0 $$ ### Step 1: Take the square root of both sides $$ \sqrt{(x + 2)^2} = \sqrt{0} $$ This gives: $$ |x + 2| = 0 $$ ### Step 2: Solve the absolute value equation $$ |x + 2| = 0 \Rightarrow x + 2 = 0 $$ ### Step 3: Solve for $x$ $$ x + 2 = 0 \Rightarrow x = -2 $$ --- ### ✅ Final Answer: $$ \boxed{-2} $$<|im_end|> ``` # Uploaded model - **Developed by:** ping98k - **License:** apache-2.0 - **Finetuned from model :** unsloth/Qwen3-8B-unsloth-bnb-4bit This qwen3 model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library. [](https://github.com/unslothai/unsloth)