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--- |
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language: |
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- en |
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library_name: transformers |
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license: apache-2.0 |
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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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thumbnail: >- |
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https://h2o.ai/etc.clientlibs/h2o/clientlibs/clientlib-site/resources/images/favicon.ico |
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pipeline_tag: text-generation |
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quantized_by: h2oai |
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--- |
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# h2o-danube3-4b-chat-GGUF |
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- Model creator: [H2O.ai](https://huggingface.co/h2oai) |
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- Original model: [h2oai/h2o-danube3-4b-chat](https://huggingface.co/h2oai/h2o-danube3-4b-chat) |
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## Description |
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This repo contains GGUF format model files for [h2o-danube3-4b-chat](https://huggingface.co/h2oai/h2o-danube3-4b-chat) quantized using [llama.cpp](https://github.com/ggerganov/llama.cpp/) framework. |
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Table below summarizes different quantized versions of [h2o-danube3-4b-chat](https://huggingface.co/h2oai/h2o-danube3-4b-chat). It shows the trade-off between size, speed and quality of the models. |
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| Name | Quant method | Model size | MT-Bench AVG | Perplexity | Tokens per second | |
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|:----------------------------------|:----------------------------------:|:----------:|:------------:|:------------:|:-------------------:| |
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| [h2o-danube3-4b-chat-F16.gguf](https://huggingface.co/h2oai/h2o-danube3-4b-chat-GGUF/blob/main/h2o-danube3-4b-chat-F16.gguf) | F16 | 7.92 GB | 6.43 | 6.17 | 479 | |
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| [h2o-danube3-4b-chat-Q8_0.gguf](https://huggingface.co/h2oai/h2o-danube3-4b-chat-GGUF/blob/main/h2o-danube3-4b-chat-Q8_0.gguf) | Q8_0 | 4.21 GB | 6.49 | 6.17 | 725 | |
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| [h2o-danube3-4b-chat-Q6_K.gguf](https://huggingface.co/h2oai/h2o-danube3-4b-chat-GGUF/blob/main/h2o-danube3-4b-chat-Q6_K.gguf) | Q6_K | 3.25 GB | 6.37 | 6.20 | 791 | |
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| [h2o-danube3-4b-chat-Q5_K_M.gguf](https://huggingface.co/h2oai/h2o-danube3-4b-chat-GGUF/blob/main/h2o-danube3-4b-chat-Q5_K_M.gguf) | Q5_K_M | 2.81 GB | 6.25 | 6.24 | 927 | |
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| [h2o-danube3-4b-chat-Q4_K_M.gguf](https://huggingface.co/h2oai/h2o-danube3-4b-chat-GGUF/blob/main/h2o-danube3-4b-chat-Q4_K_M.gguf) | Q4_K_M | 2.39 GB | 6.31 | 6.37 | 967 | |
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| [h2o-danube3-4b-chat-Q3_K_M.gguf](https://huggingface.co/h2oai/h2o-danube3-4b-chat-GGUF/blob/main/h2o-danube3-4b-chat-Q3_K_M.gguf) | Q3_K_M | 1.94 GB | 5.87 | 6.99 | 1099 | |
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| [h2o-danube3-4b-chat-Q2_K.gguf](https://huggingface.co/h2oai/h2o-danube3-4b-chat-GGUF/blob/main/h2o-danube3-4b-chat-Q2_K.gguf) | Q2_K | 1.51 GB | 3.71 | 9.42 | 1299 | |
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Columns in the table are: |
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* Name -- model name and link |
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* Quant method -- quantization method |
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* Model size -- size of the model in gigabytes |
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* MT-Bench AVG -- [MT-Bench](https://arxiv.org/abs/2306.05685) benchmark score. The score is from 1 to 10, the higher, the better |
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* Perplexity -- perplexity metric on WikiText-2 dataset. It's reported in a perplexity test from llama.cpp. The lower, the better |
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* Tokens per second -- generation speed in tokens per second, as reported in a perplexity test from llama.cpp. The higher, the better. Speed tests are done on a single H100 GPU |
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## Prompt template |
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``` |
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<|prompt|>Why is drinking water so healthy?</s><|answer|> |
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``` |
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