update doc.

README.md

@@ -2866,4 +2866,42 @@ model-index:
       value: 87.15717597277224
     - type: max_f1
       value: 79.71815316150567
----
+---
+
+## Model Details:
+
+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](https://huggingface.co/upstage/SOLAR-10.7B-v1.0).
+
+## Date
+
+July, 2024
+
+## Training Details
+
+Two stage training: 
+- General Text Embedding Training
+- Specific domains Emebedding Training
+
+
+More technical details will be updated later.
+
+
+## Evaluation
+
+The results of (MTEB)[https://huggingface.co/spaces/mteb/leaderboard] (English):
+
+| Model Name | MTEB(56)  || 
+|:----:|:---------:|:----------:| 
+| [bge-base-en-1.5](https://huggingface.co/BAAI/bge-base-en-v1.5) |   64.23   | 
+| [bge-large-en-1.5](https://huggingface.co/BAAI/bge-large-en-v1.5) |   63.55   |
+| [gte-large-en-v1.5](https://huggingface.co/Alibaba-NLP/gte-large-en-v1.5) |   65.39   |
+| [gte-base-en-v1.5](https://huggingface.co/Alibaba-NLP/gte-large-en-v1.5) |   64.11   |
+| [mxbai-embed-large-v1](https://huggingface.co/mixedbread-ai/mxbai-embed-large-v1) |   64.68   |
+| [multilingual-e5-base](https://huggingface.co/intfloat/multilingual-e5-base) |   59.45   | 
+| [multilingual-e5-large](https://huggingface.co/intfloat/multilingual-e5-large) |   61.50   |
+| [e5-mistral-7b-instruct](https://huggingface.co/intfloat/e5-mistral-7b-instruct) |   66.63   |
+| [gte-Qwen1.5-7B-instruct](https://huggingface.co/Alibaba-NLP/gte-Qwen1.5-7B-instruct) |   67.34   |
+| [NV-Embed-v1](https://huggingface.co/nvidia/NV-Embed-v1) |   69.32   |
+| [**neural-embedding-v1**](https://huggingface.co/Intel/neural-embedding-v1) | **69.94** |
+ 
+