Update README.md (#15)

- Update README.md (c7502579da9cfe878db415c5ee62503564b20666)

README.md

@@ -20,9 +20,21 @@ tags:
   - moe
 ---
 
+<img src="./mixtral-8x22b.jpeg" width="600" />
+
 # Mixtral-8x22B-v0.1-GGUF
 
-in progress ...
+On April 10th, @MistralAI released a model named "Mixtral 8x22B," an 176B MoE via magnet link (torrent):
+
+- 176B MoE with ~40B active
+- Context length of 65k tokens
+- The base model can be fine-tuned
+- Requires ~260GB VRAM in fp16, 73GB in int4
+- Licensed under Apache 2.0, according to their Discord
+- Available on @huggingface (community)
+- Utilizes a tokenizer similar to previous models
+
+The GGUF and quantized models here are based on [v2ray/Mixtral-8x22B-v0.1](https://huggingface.co/v2ray/Mixtral-8x22B-v0.1) model
 
 ## Load sharded model
 
@@ -81,7 +93,9 @@ Since this appears to be a base model, it will keep on generating.
 
 ## Credit
 
-Thank you [MistralAI](https://huggingface.co/mistralai) for opening the weights and thank you [v2ray](https://huggingface.co/v2ray/) for converting and preparing the [Mixtral-8x22B-v0.1](https://huggingface.co/v2ray/Mixtral-8x22B-v0.1) model.
+- [MistralAI](https://huggingface.co/mistralai) for opening the weights
+- [v2ray](https://huggingface.co/v2ray/) for downloading, converting, and sharing it with the community [Mixtral-8x22B-v0.1](https://huggingface.co/v2ray/Mixtral-8x22B-v0.1)
+- [philschmid]([https://huggingface.co/philschmid) for the photo he shared on his Twitter
 
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