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Model: welyty/qwen3-4b-alpaca-chatwithme
Source: Original Platform

README.md

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+---
+language:
+- en
+license: apache-2.0
+base_model: Qwen/Qwen3-4B
+tags:
+- qwen3
+- lora
+- fine-tuned
+- alpaca
+- chatml
+- instruction-following
+datasets:
+- yahma/alpaca-cleaned
+pipeline_tag: text-generation
+---
+
+# ChatWithMe — Qwen3-4B Fine-tuned on Alpaca
+
+A Qwen3-4B model fine-tuned with LoRA on the Alpaca dataset for instruction-following conversations.
+
+## Model Details
+
+- **Base model:** Qwen/Qwen3-4B
+- **Fine-tuning method:** LoRA (r=8, alpha=16)
+- **Dataset:** yahma/alpaca-cleaned (~52k examples)
+- **Chat format:** ChatML
+- **Training:** 1 epoch, SFTTrainer, 4-bit quantization, bf16, cosine scheduler
+- **Hardware:** NVIDIA A100 80GB
+- **Final training loss:** 1.0875
+- **Final validation loss:** 1.0976
+- **Perplexity:** ~3.00
+
+## LoRA Configuration
+
+- **Target modules:** q_proj, k_proj, v_proj, o_proj, gate_proj, up_proj, down_proj
+- **Rank:** 8
+- **Alpha:** 16
+- **Dropout:** 0.05
+- **Trainable parameters:** ~13M / 4B total (0.3%)
+
+## Usage
+
+```python