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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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 |
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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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