---
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
```