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Model: brittlewis12/h2o-danube-1.8b-chat-GGUF Source: Original Platform
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README.md
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README.md
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---
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base_model: h2oai/h2o-danube-1.8b-chat
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datasets:
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- HuggingFaceH4/ultrafeedback_binarized
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- Intel/orca_dpo_pairs
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- argilla/distilabel-math-preference-dpo
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- Open-Orca/OpenOrca
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- OpenAssistant/oasst2
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- HuggingFaceH4/ultrachat_200k
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- meta-math/MetaMathQA
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license: apache-2.0
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language:
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- en
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model_creator: h2oai
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model_name: h2o-danube-1.8b-chat
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model_type: mistral
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inference: false
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tags:
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- gpt
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- llm
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- large language model
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- h2o-llmstudio
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pipeline_tag: text-generation
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prompt_template: |
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<|system|>{{system_message}}</s>
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<|prompt|>{{prompt}}</s>
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<|answer|>
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quantized_by: brittlewis12
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---
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# h2o-danube-1.8b-chat GGUF
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Original model: [h2o-danube-1.8b-chat](https://huggingface.co/h2oai/h2o-danube-1.8b-chat)
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Model creator: [h2oai](https://huggingface.co/h2oai)
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This repo contains GGUF format model files for h2oai’s h2o-danube-1.8b-chat.
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> 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:
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>
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> - h2oai/h2o-danube-1.8b-base Base model
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> - h2oai/h2o-danube-1.8b-sft SFT tuned
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> - h2oai/h2o-danube-1.8b-chat SFT + DPO tuned
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> 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.
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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.
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### What is GGUF?
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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.
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Converted using llama.cpp b2037 ([1cfb537](https://github.com/ggerganov/llama.cpp/commits/1cfb5372cf5707c8ec6dde7c874f4a44a6c4c915))
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### Prompt template:
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```
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<|system|>{{system_message}}</s>
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<|prompt|>{{prompt}}</s>
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<|answer|>
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```
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---
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## Download & run with [cnvrs](https://twitter.com/cnvrsai) on iPhone, iPad, and Mac!
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[cnvrs](https://testflight.apple.com/join/sFWReS7K) is the best app for private, local AI on your device:
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- create & save **Characters** with custom system prompts & temperature settings
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- download and experiment with any **GGUF model** you can [find on HuggingFace](https://huggingface.co/models?library=gguf)!
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- make it your own with custom **Theme colors**
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- powered by Metal ⚡️ & [Llama.cpp](https://github.com/ggerganov/llama.cpp), with **haptics** during response streaming!
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- **try it out** yourself today, on [Testflight](https://testflight.apple.com/join/sFWReS7K)!
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- follow [cnvrs on twitter](https://twitter.com/cnvrsai) to stay up to date
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---
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## Original Model Evaluations:
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> Commonsense, world-knowledge and reading comprehension tested in 0-shot:
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| Benchmark | acc_n |
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|:--------------|:--------:|
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| ARC-easy | 67.51 |
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| ARC-challenge | 39.25 |
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| BoolQ | 77.89 |
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| Hellaswag | 67.60 |
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| OpenBookQA | 39.20 |
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| PiQA | 76.71 |
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| TriviaQA | 36.29 |
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| Winogrande | 65.35 |
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