Create README.md

README.md

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+---
+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  |