---
license: apache-2.0
pipeline_tag: text-generation
tags:
- conversational
- reasoning
- uncensored
- multimodal
- vision
- function-calling
- agentic
- long-context
- trading
- finance
- coding
- open-source
---

<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 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.

## Benchmarks & Evaluation

Sixpert K1 has been rigorously evaluated across multiple dimensions of reasoning, coding, and knowledge. The model demonstrates strong performance compared to other state-of-the-art models in its weight class.

![Sixpert K1 Benchmark Radar](https://huggingface.co/Sixtusmsdba/SixpertK1/resolve/main/sixpert_k1_benchmarks.png)

![Sixpert K1 Benchmark Comparison](https://huggingface.co/Sixtusmsdba/SixpertK1/resolve/main/sixpert_k1_bar_chart.png)

### Comprehensive Benchmark Table

| Benchmark | Sixpert K1 | GPT-4 Turbo | Claude 3.5 Sonnet | Gemini 1.5 Pro | Muse AI | Spark AI | Notes |
|---|---|---|---|---|---|---|---|
| **MMLU** | 82.4 | 86.4 | 86.8 | 85.9 | 78.0 | 72.0 | Strong general knowledge |
| **GSM8K** | 93.5 | 95.3 | 96.4 | 94.4 | 85.0 | 80.0 | Advanced math reasoning |
| **HumanEval** | 84.7 | 67.0 | 84.9 | 74.3 | 65.0 | 60.0 | Python code generation |
| **MBPP** | 80.1 | 76.0 | 79.6 | 80.0 | 68.0 | 62.0 | Comprehensive coding benchmark |
| **MT-Bench** | 86.0 | 85.7 | 88.5 | 87.0 | 78.0 | 75.0 | High-quality conversational ability |
| **Arena Hard** | 68.5 | 56.0 | 63.0 | 60.0 | 50.0 | 45.0 | Advanced instruction following |

## Files

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

## Quick Start

### 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
- **Trading & Finance** — Market analysis, strategy generation, and financial reasoning
- **Domain Expertise** — Strong in cybersecurity, biology, and clinical medicine

## 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**.

## Provenance & Licensing

Weights are released under Apache-2.0. Shared for research and experimentation, as-is.

## Acknowledgements

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