
# 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|>
```

---

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[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
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---

## 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  |

{"language": ["en"], "license": "apache-2.0", "tags": ["gpt", "llm", "large language model", "h2o-llmstudio"], "datasets": ["HuggingFaceH4/ultrafeedback_binarized", "Intel/orca_dpo_pairs", "argilla/distilabel-math-preference-dpo", "Open-Orca/OpenOrca", "OpenAssistant/oasst2", "HuggingFaceH4/ultrachat_200k", "meta-math/MetaMathQA"], "model_name": "h2o-danube-1.8b-chat", "base_model": "h2oai/h2o-danube-1.8b-chat", "model_creator": "h2oai", "model_type": "mistral", "inference": false, "pipeline_tag": "text-generation", "prompt_template": "<|system|>{{system_message}}</s>\n<|prompt|>{{prompt}}</s>\n<|answer|>\n", "quantized_by": "brittlewis12"}
gguf gpt llm large language model h2o-llmstudio text-generation en dataset:HuggingFaceH4/ultrafeedback_binarized dataset:Intel/orca_dpo_pairs dataset:argilla/distilabel-math-preference-dpo dataset:Open-Orca/OpenOrca dataset:OpenAssistant/oasst2 dataset:HuggingFaceH4/ultrachat_200k dataset:meta-math/MetaMathQA arxiv:2401.16818 base_model:h2oai/h2o-danube-1.8b-chat license:apache-2.0 region:us