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Model: Sebastianpro88/Chichu-2.0-500M-Instruct
Source: Original Platform

README.md

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+---
+language: en
+license: other
+library_name: transformers
+tags:
+  - chat
+  - conversational
+  - distillation
+  - reasoning
+  - code
+  - chichu
+base_model: Qwen/Qwen2.5-0.5B-Instruct
+pipeline_tag: text-generation
+---
+
+# Chichu 2.0 500M Instruct 🐱
+
+A 500 million parameter language model fine-tuned from Qwen2.5-0.5B-Instruct on the
+[r0b0tlab/qwen3.8-max-glm5.2-kimi-k3-distillation](https://huggingface.co/datasets/r0b0tlab/qwen3.8-max-glm5.2-kimi-k3-distillation)
+dataset — a multi-teacher distillation corpus covering math, code, reasoning, and instructions.
+
+Named after Chichu the cat. 🐱
+
+## Model Details
+- **Base model:** Qwen/Qwen2.5-0.5B-Instruct
+- **Parameters:** 494M (2.16M LoRA adapters trained)
+- **Training:** LoRA fine-tuning (rank=16, alpha=32)
+- **Context length:** 32,768 tokens
+
+## Usage
+```python
+from transformers import AutoModelForCausalLM, AutoTokenizer
+import torch
+
+model = AutoModelForCausalLM.from_pretrained("Sebastianpro88/Chichu-2.0-500M-Instruct", torch_dtype=torch.float16, device_map="cpu")
+tokenizer = AutoTokenizer.from_pretrained("Sebastianpro88/Chichu-2.0-500M-Instruct")
+
+messages = [
+    {"role": "system", "content": "You are Chichu 2.0, a language model named after Chichu the cat."},
+    {"role": "user", "content": "What is your name?"}
+]
+text = tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
+inputs = tokenizer(text, return_tensors="pt")
+out = model.generate(**inputs, max_new_tokens=50)
+print(tokenizer.decode(out[0][inputs["input_ids"].shape[1]:], skip_special_tokens=True))
+# "My name is Chichu 2.0."
+```