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@@ -10,10 +10,10 @@ tags:
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  - trl
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  base_model: SeaLLMs/SeaLLM-7B-v2
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  datasets:
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- - facebook/belebele
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  ---
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  # AKA Tagamistral-7b-v1:
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- * Yet another archived test/toy model, fine-tuned on portion of Tagalog part of belebele dataset
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  * Base: [SeaLLM](https://huggingface.co/SeaLLMs/SeaLLM-7B-v2)
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  * [GGUF](https://huggingface.co/922-Narra/tagalog-seallm-7b-v1)
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@@ -41,7 +41,6 @@ This mistral model was trained 2x faster with [Unsloth](https://github.com/unslo
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  ### WARNINGS AND DISCLAIMERS
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  There is still a chance that the model may switch to English or Taglish.
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- Results may improve from a cleaner and bigger portion of the belebele dataset fine-tuned on. Additionally, it is possible that the Tagalog capability still comes mostly from the fine-tuned base more than the dataset.
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-
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- Finally, this model is not guaranteed to output aligned or safe outputs nor is it meant for production use - use at your own risk!
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  - trl
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  base_model: SeaLLMs/SeaLLM-7B-v2
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  datasets:
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+ - 922-Narra/synthetic_tagalog_test_02102024
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  ---
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  # AKA Tagamistral-7b-v1:
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+ * Yet another archived test/toy model from ~12/2023, fine-tuned on a synthetic Tagalog dataset partially produced by [Mistral](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2)
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  * Base: [SeaLLM](https://huggingface.co/SeaLLMs/SeaLLM-7B-v2)
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  * [GGUF](https://huggingface.co/922-Narra/tagalog-seallm-7b-v1)
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  ### WARNINGS AND DISCLAIMERS
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  There is still a chance that the model may switch to English or Taglish.
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+ It is possible that the Tagalog capability still comes mostly from the fine-tuned base more than the dataset.
 
 
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+ Finally, this model is not guaranteed to output aligned or safe outputs nor is it meant for production use - use at your own risk!