venezianof/esculapio
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franco veneziano
venezianof
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huggingface/InferenceSupport:venezianof/esculapio
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huggingface/InferenceSupport:venezianof/esculapio
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huggingface/InferenceSupport:venezianof/esculapio
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venezianof/esculapio
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#168 opened 11 days ago
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venezianof
venezianof/esculapio
#169 opened 11 days ago
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venezianof
venezianof/esculapio
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#83 opened 13 days ago
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venezianof
updated
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model
about 1 month ago
Update README.md
#2 opened about 1 month ago
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venezianof
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#4 opened about 1 month ago
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venezianof
Update README.md
#3 opened about 2 months ago
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venezianof
replied to
burtenshaw's
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about 2 months ago
very interesting thank you very much
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burtenshaw's
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about 2 months ago
Post
1537
SFT + Quantisation + Unsloth is a super easy way of squeezing extra performance out of an LLM at low latencies. Here are some hand y resources to bootstrap your projects.
Here's a filtered dataset from Helpsteer2 with the most correct and coherent samples: burtenshaw/helpsteer-2-plus
This is a SFT finetuned model: ttps://huggingface.co/burtenshaw/gemma-help-tiny-sft
This is the notebook I use to train the model: https://colab.research.google.com/drive/17oskw_5lil5C3jCW34rA-EXjXnGgRRZw?usp=sharing
Here's a load of Unsloth notebook on finetuning and inference: https://docs.unsloth.ai/get-started/unsloth-notebooks
Here's a filtered dataset from Helpsteer2 with the most correct and coherent samples: burtenshaw/helpsteer-2-plus
This is a SFT finetuned model: ttps://huggingface.co/burtenshaw/gemma-help-tiny-sft
This is the notebook I use to train the model: https://colab.research.google.com/drive/17oskw_5lil5C3jCW34rA-EXjXnGgRRZw?usp=sharing
Here's a load of Unsloth notebook on finetuning and inference: https://docs.unsloth.ai/get-started/unsloth-notebooks
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