初始化项目，由ModelHub XC社区提供模型

Model: Quipuai/quipu-0.6b
Source: Original Platform

README.md

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+---
+library_name: transformers
+license: apache-2.0
+base_model: Qwen/Qwen3-0.6B
+language:
+- en
+tags:
+- lora
+- fine-tuned
+- reasoning
+- lightweight
+- multilingual
+- text-generation
+- conversational
+- instruction-tuned
+- qwen3
+- small-language-model
+- efficient
+---
+
+# Quipu 0.6B
+
+A compact, fast fine-tuned language model built on Qwen3-0.6B, tuned for clear step-by-step reasoning, consistent identity, and lightweight coding assistance.
+
+Designed to punch above its weight class: at just 0.6B parameters, Quipu runs fast and cheap while staying focused on giving structured, logical answers — a solid pick when you need a responsive assistant without the overhead of a much larger model.
+
+## Good for
+
+- Step-by-step reasoning and simple logic problems
+- Basic coding help (short functions, quick snippets)
+- Fast, low-resource deployment (edge devices, quick prototyping, local inference)
+
+## Model Details
+
+- **Base model:** Qwen/Qwen3-0.6B
+- **Fine-tuning method:** LoRA
+- **Languages:** English, Spanish
+- **License:** Apache 2.0
+
+## How to Get Started
+
+```python
+from transformers import AutoModelForCausalLM, AutoTokenizer
+
+model = AutoModelForCausalLM.from_pretrained("Quipuai/quipu-0.6b")
+tokenizer = AutoTokenizer.from_pretrained("Quipuai/quipu-0.6b")
+
+messages = [{"role": "user", "content": "Who are you?"}]
+text = tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
+inputs = tokenizer(text, return_tensors="pt")
+output = model.generate(**inputs, max_new_tokens=100)
+print(tokenizer.decode(output[0], skip_special_tokens=True))
+```
+
+## GGUF / Ollama
+
+Quantized GGUF versions (compatible with Ollama, llama.cpp, LM Studio, etc.) are available thanks to [mradermacher](https://huggingface.co/mradermacher):
+
+- [mradermacher/quipu-0.6b-GGUF](https://huggingface.co/mradermacher/quipu-0.6b-GGUF) — standard quants
+- [mradermacher/quipu-0.6b-i1-GGUF](https://huggingface.co/mradermacher/quipu-0.6b-i1-GGUF) — imatrix quants (better quality)
+
+To run with Ollama:
+
+```bash
+ollama run hf.co/mradermacher/quipu-0.6b-GGUF:Q4_K_M
+```