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Small example of SFR-Embedding-Mistral running on an envoriment composed of Langchain and llamacpp

Jupyter Notebook 100.00%

sfr-embedding-mistral-llamacpp-example's Introduction

SFR-Embedding-Mistral LLamaCPP Example

Small demo of SFR-Embedding-Mistral currently the N1 embedding model in the HF leader board working on an environment composed of langchain and llamacpp, using the huggingface pipeline because sentence-transformers gives too much problems and it is quite inefficient RAM-wise which can make the program all more unstable for system of 32gb of ram and under.

How to use the notebook

  • Follow the instructions of the notebook

Hardware used:

  • CPU: i5 11400f
  • GPU: NVIDIA RTX 3070 TI
  • RAM: 32GB
  • OS: Ubuntu 22.04.4 LTS
  • Python version: Python 3.10.13

sfr-embedding-mistral-llamacpp-example's People

Contributors

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