---
license: apache-2.0
pipeline_tag: text-generation
library_name: gguf
tags:
- gguf
- llama.cpp
- conversational
- reasoning
- uncensored
- multimodal
- vision
- function-calling
- agentic
- long-context
---

<div align="center">

![Sixpert K1](https://huggingface.co/Sixtusmsdba/SixpertK1/resolve/main/sixpert_k1_hero.png)

# Sixpert K1

**Advanced AI Language Model**

Developed by Inyang David and Sixtus Matthew

</div>

---

GGUF quantizations of **Sixpert K1** for llama.cpp, Ollama, LM Studio, jan, KoboldCpp, and other GGUF runtimes.

Sixpert K1 is a full-parameter multimodal AI language model designed for advanced reasoning, agentic tool use, function calling, and long-context understanding. Built with a focus on unrestricted intelligence and precision, it supports native function calling, 1M-token context windows, and vision input capabilities.

## Files

| File | Quant | Size | Notes |
|---|---|---|---|
| SixpertK1.gguf | Q4_K_M | 5.68 GB | Recommended default — best compatibility |

## Quick Start

### llama.cpp (llama-cli)

```bash
llama-cli \
  -m SixpertK1.gguf \
  -p "You are Sixpert K1. Introduce yourself." \
  -n 2048 \
  --temp 0.7 --top-p 0.9 --top-k 40 --repeat-penalty 1.1 \
  -c 4096
```

### Ollama

```bash
ollama run hf.co/Sixtusmsdba/SixpertK1:latest
```

### LM Studio / jan / KoboldCpp

Drop the `SixpertK1.gguf` file into your runtime's model directory. Modern GGUF runtimes load it automatically.

## Sampling Recommendations

| Parameter | Value |
|---|---|
| temperature | 0.7 |
| top_p | 0.9 |
| top_k | 40 |
| repeat_penalty | 1.1 |
| max_new_tokens | 2048 |

## Capabilities

- **Reasoning** — Advanced chain-of-thought reasoning for complex problems
- **Function Calling** — Native tool use with structured output
- **Agentic Workflows** — Autonomous multi-step task execution
- **Multimodal** — Text and vision understanding
- **Long Context** — Extended context window support
- **Coding** — Code generation, analysis, and debugging
- **Multilingual** — Support for 100+ languages
- **Uncensored** — Unrestricted response capability

## Limitations

- Requires 8+ GB RAM for optimal performance (model is 5.68 GB at Q4_K_M)
- Every response uses reasoning mode — allow generous `max_new_tokens`
- Verify specifics in safety-critical contexts — like all LLMs, can occasionally hallucinate identifiers
- Uncensored — add your own application-level safety layer for end-user-facing deployments

## Creators

Sixpert K1 was created by **Inyang David** and **Sixtus Matthew**.

## Acknowledgements

- **Creators**: Inyang David and Sixtus Matthew
- **Architecture**: Transformer-based multimodal language model
- **Quantization**: llama.cpp (ggml-org)
- **License**: Apache-2.0