Instructions to use soyuj/llama3.2-1b-bidirectional-mntp-msmarco with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use soyuj/llama3.2-1b-bidirectional-mntp-msmarco with PEFT:
Task type is invalid.
- Notebooks
- Google Colab
- Kaggle
Configuration Parsing Warning:In adapter_config.json: "peft.task_type" must be a string
Bidirectional MNTP Adapter For Llama 3.2 1B
This directory contains the LoRA adapter for a bidirectional MNTP-enabled meta-llama/Llama-3.2-1B. We have performed 10,000 pre-training steps on MS MARCO.
It is intended to be loaded in this repository: https://github.com/basnetsoyuj/llama3.2-1b-sae-bidirectional-mntp-msmarco
python bidirectional_mntp.py \
--adapter-path soyuj/llama3.2-1b-bidirectional-mntp-msmarco \
--text "hello world"
Files
adapter_config.json: PEFT adapter configadapter_model.safetensors: LoRA adapter weights
Notes
- This adapter does not include the base Meta Llama weights.
- You must have access to
meta-llama/Llama-3.2-1Bto load it. - The bidirectional model runtime used to apply this adapter is adapted from
HansiZeng/scaling-retriever. - Published adapter repo:
soyuj/llama3.2-1b-bidirectional-mntp-msmarco.
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Base model
meta-llama/Llama-3.2-1B