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Intel/neural-embedding-v1
neural-embedding-v1 is a machine learning model from Intel. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
This embedding model is a fine-tuned 10.7B parameter LLM on the Intel Gaudi 2 processor using the upstage/SOLAR-10.7B-v1.0.
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Updated Jun 26, 2024
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From the Hugging Face model README
This embedding model is a fine-tuned 10.7B parameter LLM on the Intel Gaudi 2 processor using the upstage/SOLAR-10.7B-v1.0.
July, 2024
Two stage training:
More technical details will be updated later.
The results of (MTEB)[https://huggingface.co/spaces/mteb/leaderboard] (English):
| Model Name | MTEB(56) | |
|---|---|---|
| bge-base-en-1.5 | 64.23 | |
| bge-large-en-1.5 | 63.55 | |
| gte-large-en-v1.5 | 65.39 | |
| gte-base-en-v1.5 | 64.11 | |
| mxbai-embed-large-v1 | 64.68 | |
| multilingual-e5-base | 59.45 | |
| multilingual-e5-large | 61.50 | |
| e5-mistral-7b-instruct | 66.63 | |
| gte-Qwen1.5-7B-instruct | 67.34 | |
| NV-Embed-v1 | 69.32 | |
| neural-embedding-v1 | 69.94 |