README.md

---
title: "Bucharest-0.2 Quantized in GGUF"
tags:
  - GGUF
language: en
---
![Image description](https://i.postimg.cc/MGwhtFfF/tsune-fixed.png)

# Tsunemoto GGUF's of Bucharest-0.2

This is a GGUF quantization of Bucharest-0.2.

## Original Repo Link:
[Original Repository](https://huggingface.co/Mihaiii/Bucharest-0.2)

## Original Model Card:
---

[<img src="https://raw.githubusercontent.com/OpenAccess-AI-Collective/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/OpenAccess-AI-Collective/axolotl)

An instruct based fine tune of [migtissera/Tess-10.7B-v1.5b](https://huggingface.co/migtissera/Tess-10.7B-v1.5b).

It should be used for enterprise tasks that involve reasoning and text comprehension.

This model is trained on a private dataset + [Mihaiii/OpenHermes-2.5-1k-longest-curated](https://huggingface.co/datasets/Mihaiii/OpenHermes-2.5-1k-longest-curated), which is a subset of [HuggingFaceH4/OpenHermes-2.5-1k-longest](https://huggingface.co/datasets/HuggingFaceH4/OpenHermes-2.5-1k-longest), which is a subset of [teknium/OpenHermes-2.5](https://huggingface.co/datasets/teknium/OpenHermes-2.5).

The high GSM8K score is **NOT** because of the MetaMath dataset. 

# Prompt Format:

```
SYSTEM: <ANY SYSTEM CONTEXT>
USER: 
ASSISTANT:
```

GGUF:

[tsunemoto/Bucharest-0.2-GGUF](https://huggingface.co/tsunemoto/Bucharest-0.2-GGUF)