---
license: apache-2.0
language:
  - es
base_model: CodeStrux-Tech/tac-1
base_model_relation: quantized
pipeline_tag: text-generation
tags:
  - gguf
  - llama.cpp
  - ollama
  - address-parsing
  - costa-rica
  - qwen3
---

# tac-1-gguf — GGUF format for llama.cpp and Ollama

## Overview

tac-1-gguf provides GGUF files quantized from [`CodeStrux-Tech/tac-1`](https://huggingface.co/CodeStrux-Tech/tac-1) using llama.cpp commit 67776ea.

| file | size | sha256 |
|---|---|---|
| `tac-1-Q5_K_M.gguf` | 2.7 GB | `1c919ee74addda61bb6490195934b7c06b1a1793051e6119a2859d045e5b0634` |
| `tac-1-f16.gguf` | 7.5 GB | `5ba9ce916778026da6a4970b41fe4f230b9a7c30c0f0437d3630724c7c94feea` |

## Serving

### Ollama

```bash
ollama run hf.co/CodeStrux-Tech/tac-1-gguf:Q5_K_M
```

Ollama registers an HF-pulled model under the full `hf.co/...:Q5_K_M` name. To
use it with the `tico` client (default model name `tac-1`), alias it once with
`ollama cp hf.co/CodeStrux-Tech/tac-1-gguf:Q5_K_M tac-1`, or set
`TICO_OLLAMA_MODEL="hf.co/CodeStrux-Tech/tac-1-gguf:Q5_K_M"`.

### llama.cpp server

```bash
llama-server -m tac-1-Q5_K_M.gguf --jinja
```

The server is OpenAI-compatible at `/v1`. Client env: `OLLAMA_BASE_URL=http://localhost:8080/v1 TICO_OLLAMA_MODEL=tac-1`.

## Chat template warning

The chat template is ChatML with EOS id 151645 (`<|im_end|>`). There are 0 `think` references in the template. The template is byte-identical across the merged bf16, FP8, and GGUF builds. When using llama.cpp or Ollama, ensure the server applies the ChatML template correctly — the `--jinja` flag on `llama-server` enables this.

## Training data attribution

Contains information from OpenStreetMap (https://www.openstreetmap.org/copyright), which is made available under the Open Database License (ODbL) 1.0. © OpenStreetMap contributors.

For full training details, architecture, evaluation, and limitations, see [`CodeStrux-Tech/tac-1`](https://huggingface.co/CodeStrux-Tech/tac-1).

tac-1 is a derivative work of [Qwen/Qwen3-4B-Instruct-2507](https://huggingface.co/Qwen/Qwen3-4B-Instruct-2507), Copyright 2024 Alibaba Cloud, licensed under the Apache License, Version 2.0. The upstream LICENSE is included in this repository.