Update README.md

README.md

@@ -4,10 +4,54 @@ pipeline_tag: text-generation
 language:
 - en
 - ru
+base_model:
+- Qwen/Qwen2.5-7B-Instruct
+tags:
+- qwen2.5
 ---
 
 ### theqwenmoe
 - 18.3B parametrs
 - English & Russian
 - Math & Logic
-- Code: Python, Javascript, Java, PHP, C++, C#, ...
+- Code: Python, Javascript, Java, PHP, C++, C#, ...
+
+This is experimental model. Can be bugs and various problems.
+
+Made with mergekit and unsloth apps by ehristoforu.
+
+Code usage example:
+```py
+from transformers import AutoModelForCausalLM, AutoTokenizer
+
+model_name = "ehristoforu/theqwenmoe"
+
+model = AutoModelForCausalLM.from_pretrained(
+    model_name,
+    torch_dtype="auto",
+    device_map="auto"
+)
+tokenizer = AutoTokenizer.from_pretrained(model_name)
+
+prompt = "Give me a short introduction to large language model."
+messages = [
+    {"role": "system", "content": "You are Qwen, created by Alibaba Cloud. You are a helpful assistant."},
+    {"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)
+
+generated_ids = model.generate(
+    **model_inputs,
+    max_new_tokens=512
+)
+generated_ids = [
+    output_ids[len(input_ids):] for input_ids, output_ids in zip(model_inputs.input_ids, generated_ids)
+]
+
+response = tokenizer.batch_decode(generated_ids, skip_special_tokens=True)[0]
+```