---
base_model: h2oai/h2o-danube-1.8b-chat
datasets:
  - HuggingFaceH4/ultrafeedback_binarized
  - Intel/orca_dpo_pairs
  - argilla/distilabel-math-preference-dpo
  - Open-Orca/OpenOrca
  - OpenAssistant/oasst2
  - HuggingFaceH4/ultrachat_200k
  - meta-math/MetaMathQA
license: apache-2.0
language:
- en
model_creator: h2oai
model_name: h2o-danube-1.8b-chat
model_type: mistral
inference: false
tags:
  - gpt
  - llm
  - large language model
  - h2o-llmstudio
pipeline_tag: text-generation
prompt_template: |
  <|system|>{{system_message}}</s>
  <|prompt|>{{prompt}}</s>
  <|answer|>
  
quantized_by: brittlewis12
---

# h2o-danube-1.8b-chat GGUF


Original model: [h2o-danube-1.8b-chat](https://huggingface.co/h2oai/h2o-danube-1.8b-chat)
Model creator: [h2oai](https://huggingface.co/h2oai)

This repo contains GGUF format model files for h2oai’s h2o-danube-1.8b-chat.

> h2o-danube-1.8b-chat is an chat fine-tuned model by H2O.ai with 1.8 billion parameters. For details, please refer to our [Technical Report](https://arxiv.org/abs/2401.16818). We release three versions of this model:
>
> - h2oai/h2o-danube-1.8b-base	Base model
> - h2oai/h2o-danube-1.8b-sft	SFT tuned
> - h2oai/h2o-danube-1.8b-chat	SFT + DPO tuned

> We adjust the Llama 2 architecture for a total of around 1.8b parameters. We use the original Llama 2 tokenizer with a vocabulary size of 32,000 and train our model up to a context length of 16,384. We incorporate the sliding window attention from mistral with a size of 4,096.

Refer to h2o.ai’s model [disclaimer](https://huggingface.co/h2oai/h2o-danube-1.8b-chat/blob/main/README.md#disclaimer) for terms of use.


### What is GGUF?

GGUF is a file format for representing AI models. It is the third version of the format, introduced by the llama.cpp team on August 21st 2023. It is a replacement for GGML, which is no longer supported by llama.cpp.
Converted using llama.cpp b2037 ([1cfb537](https://github.com/ggerganov/llama.cpp/commits/1cfb5372cf5707c8ec6dde7c874f4a44a6c4c915))

### Prompt template:

```
<|system|>{{system_message}}</s>
<|prompt|>{{prompt}}</s>
<|answer|>
```

---

## Download & run with [cnvrs](https://twitter.com/cnvrsai) on iPhone, iPad, and Mac!

![cnvrs.ai](https://pbs.twimg.com/profile_images/1744049151241797632/0mIP-P9e_400x400.jpg)

[cnvrs](https://testflight.apple.com/join/sFWReS7K) is the best app for private, local AI on your device:
- create & save **Characters** with custom system prompts & temperature settings
- download and experiment with any **GGUF model** you can [find on HuggingFace](https://huggingface.co/models?library=gguf)!
- make it your own with custom **Theme colors**
- powered by Metal ⚡️ & [Llama.cpp](https://github.com/ggerganov/llama.cpp), with **haptics** during response streaming!
- **try it out** yourself today, on [Testflight](https://testflight.apple.com/join/sFWReS7K)!
- follow [cnvrs on twitter](https://twitter.com/cnvrsai) to stay up to date

---

## Original Model Evaluations:

> Commonsense, world-knowledge and reading comprehension tested in 0-shot:

| Benchmark     |   acc_n  |
|:--------------|:--------:|
| ARC-easy      |   67.51  |
| ARC-challenge |   39.25  |
| BoolQ         |   77.89  |
| Hellaswag     |   67.60  |
| OpenBookQA    |   39.20  |
| PiQA          |   76.71  |
| TriviaQA      |   36.29  |
| Winogrande    |   65.35  |