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Model: izyya/Qwen3-Izy-Translate-EN-TH-0.6B
Source: Original Platform

README.md

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+---
+base_model: unsloth/qwen3-0.6b-unsloth-bnb-4bit
+tags:
+- text-generation-inference
+- transformers
+- unsloth
+- qwen3
+- translation
+- en-th
+- safetensors
+license: apache-2.0
+language:
+- en
+- th
+pipeline_tag: translation
+---
+
+# Qwen3-Izy-Translate-EN-TH-0.6B
+
+This repository contains the `safetensors` weights for **Qwen3-Izy-Translate-EN-TH-0.6B**, a highly efficient, lightweight model fine-tuned for bidirectional English and Thai translation. 
+
+The model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Hugging Face's TRL library.
+
+---
+
+## 🚀 Model Details
+- **Developed by:** [izyya](https://huggingface.co/izyya)
+- **License:** Apache-2.0
+- **Base Model:** `unsloth/qwen3-0.6b-unsloth-bnb-4bit`
+- **Supported Languages:** English (EN) and Thai (TH)
+- **Format:** Hugging Face `safetensors`
+
+---
+
+## 📝 Prompt Templates
+
+For optimal translation quality, structure your inputs exactly as shown below depending on the translation direction.
+
+### English to Thai
+```text
+Translate the following English text to Thai. 
+### English:
+[Your English text here]
+
+```
+
+### Thai to English
+
+```text
+Translate the following Thai text to English. 
+### Thai:
+[Your Thai text here]
+
+```
+
+---
+
+## 🐍 Inference Code (Python / Transformers)
+
+This snippet demonstrates how to load the model, pipe your translation prompt into it, and cleanly extract the output text.
+
+```python
+from transformers import AutoModelForCausalLM, AutoTokenizer
+
+# Replace with your actual Hugging Face repo path if it differs
+model_name = "izyya/Qwen3-Izy-Translate-EN-TH-0.6B"
+
+# Load the tokenizer and the model
+tokenizer = AutoTokenizer.from_pretrained(model_name)
+model = AutoModelForCausalLM.from_pretrained(
+    model_name,
+    torch_dtype="auto",
+    device_map="auto"
+)
+
+# Prepare the translation snippet input
+prompt = """
+Translate the following English text to Thai. 
+
+### English:
+But friends, I am so gay, that if I had a wife, I would encourage her to cheat on me.
+"""
+
+messages = [
+    {"role": "user", "content": prompt}
+]
+
+text = tokenizer.apply_chat_template(
+    messages,
+    tokenize=False,
+    add_generation_prompt=True
+)
+
+model_inputs = tokenizer([text], return_tensors="pt").to(model.device)
+
+# Conduct text completion
+generated_ids = model.generate(
+    **model_inputs,
+    max_new_tokens=512
+)
+
+output_ids = generated_ids[0][len(model_inputs.input_ids[0]):]
+content = tokenizer.decode(output_ids, skip_special_tokens=True).strip("\n")
+
+print("content:", content)
+
+```
+
+---
+
+## ⚡ Acknowledgments
+
+* Super-accelerated and fine-tuned with ❤️ by [Unsloth](https://github.com/unslothai/unsloth).