---
license: mit
base_model: numind/NuExtract-1.5-tiny
base_model_relation: quantized
library_name: gguf
pipeline_tag: text-generation
tags:
- qwen2
- gguf
- extraction
- structured-output
- llama-cpp
---

# NuExtract-1.5-tiny — GGUF

GGUF quantizations of `numind/NuExtract-1.5-tiny`, a Qwen2.5-0.5B fine-tune for structured information extraction, produced with llama.cpp.

## Available files

| File | Quantization | Description |
|---|---|---|
| `model-F16.gguf` | F16 | Full precision (1.0 GB) |
| `model-Q8_0.gguf` | Q8_0 | 8-bit |
| `model-Q6_K.gguf` | Q6_K | 6-bit |
| `model-Q5_K_M.gguf` | Q5_K_M | 5-bit medium |
| `model-Q5_K_S.gguf` | Q5_K_S | 5-bit small |
| `model-Q5_0.gguf` | Q5_0 | 5-bit |
| `model-Q4_K_M.gguf` | Q4_K_M | 4-bit medium (recommended) |
| `model-Q4_K_S.gguf` | Q4_K_S | 4-bit small |
| `model-Q4_0.gguf` | Q4_0 | 4-bit |
| `model-Q3_K_L.gguf` | Q3_K_L | 3-bit large |
| `model-Q3_K_M.gguf` | Q3_K_M | 3-bit medium |
| `model-Q3_K_S.gguf` | Q3_K_S | 3-bit small |
| `model-Q2_K.gguf` | Q2_K | 2-bit |

## Usage

With llama.cpp:

```bash
./llama-cli -m model-Q4_K_M.gguf -p "Your prompt" -n 256
```

Or any GGUF-compatible runtime (Ollama, LM Studio, koboldcpp, etc.).

## License

MIT License. Built on `Qwen/Qwen2.5-0.5B`.

## Disclaimer

Structured extraction model. Evaluate before use.