Instructions to use jealk/llm2vec-da-mntp with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use jealk/llm2vec-da-mntp with PEFT:
Task type is invalid.
- Notebooks
- Google Colab
- Kaggle
Commit History
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Switched safetensor base back to swe-dk-finetune-step-1000 (SOTA model)
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Replaced EOT with end of text in accordance with LLM2Vec
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Changed EOS token to end_of_text to follow LLM2Vec
Verified signatureNot entirely sure if this is legit.. But I am guessing it is because we are finetuning not for a conv style where EOS is typically used, but for embedding purposes closer to the base model training where a sentence ends using EOS end of text. Not sure how much it matters.447ce2b -
Updated padding side to "left"
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Model save
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Training in progress, step 3000
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Training in progress, step 2500
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Training in progress, step 2000
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Training in progress, step 1500
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Training in progress, step 1000
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Training in progress, step 500
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Model save
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Training in progress, step 4
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Training in progress, step 2
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Updated EOS token to left padding and <end_of_text>
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tokenizer config from llama-swe last training
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Added custom config in line with llm2vec
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Add adapter config and model to main branch
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initial commit
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