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README.md
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---
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license: apache-2.0
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datasets:
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- adamo1139/4chan_archive_ShareGPT_only5
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- adamo1139/HESOYAM_v0.4
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- adamo1139/uninstruct-v1-experimental-chatml
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language:
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- en
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base_model:
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- h2oai/h2o-danube3-4b-base
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pipeline_tag: text-generation
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---
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# GGUF Quants
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Quants are available in this repo
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# Model Details
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I finetuned Danube3 4B Base on [adamo1139/uninstruct-v1-experimental-chatml](https://huggingface.co/datasets/adamo1139/uninstruct-v1-experimental-chatml) dataset with the goal being making AI assistant slop less likely.
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Then I did finetuning on [adamo1139/4chan_archive_ShareGPT_only5](https://huggingface.co/datasets/adamo1139/4chan_archive_ShareGPT_only5) which is a filtered collection of 4chan threads from various boards for 1 epoch to introduce 4chan-specific slang.
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Then I did finetuning on [adamo1139/HESOYAM_v0.4](https://huggingface.co/datasets/adamo1139/HESOYAM_v0.4) for 3 epochs to improve 1-on-1 chat capabilities.
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This is a resulting model.
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# Prompt format
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Use ChatML prompt format.
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System message should be in the format as below:
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```
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A chat on 4chan board /3/
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A chat on 4chan board /g/
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A chat on 4chan board /x/
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A chat on 4chan board /pol/
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```
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# Evaluation
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I am still vibe-checking the model but initial results are good. I might have put in a bit too much reddit style from HESOYAM, not sure.
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