eletest commited on
Commit
d996c91
1 Parent(s): c0f055d

Update README.md

Browse files

![Meta_Lockup_PositivePrimary_RGB.png](https://cdn-uploads.huggingface.co/production/uploads/65c25abf65086cabf4d3d741/j7M9mFY1jkCrSwDbk0oMW.png)

Files changed (1) hide show
  1. README.md +7 -4
README.md CHANGED
@@ -8,10 +8,13 @@ pinned: false
8
  ---
9
 
10
 
11
- <title> Llama 2 </title>
 
12
 
13
- From Meta
 
 
14
 
15
- Welcome to the official Hugging Face organization for Llama 2 models from Meta! In order to access models here, submit the intake formplease visit the Meta website and accept our license terms and acceptable use policy before requesting access to a model. Requests will be processed within 1-2 days.
16
- Llama 2 is a collection of pretrained and fine-tuned generative text models ranging in scale from 7 billion to 70 billion parameters. Our fine-tuned LLMs, called Llama-2-Chat, are optimized for dialogue use cases. Llama-2-Chat models outperform open-source chat models on most benchmarks we tested, and in our human evaluations for helpfulness and safety, are on par with some popular closed-source models like ChatGPT and PaLM.
17
  Read our paper, learn more about the model, or get started with code on GitHub
 
8
  ---
9
 
10
 
11
+ <h1> Llama </h1>
12
+ <em>From Meta </em>
13
 
14
+ Welcome to the official Hugging Face organization for Llama models from Meta!
15
+ In order to access models here, please submit the intake form and accept our license terms and acceptable use policy before requesting access to a model.
16
+ Requests will be processed within 1-2 days.
17
 
18
+ Llama 2 is a collection of pretrained and fine-tuned generative text models ranging in scale from 7 billion to 70 billion parameters.
19
+ Our fine-tuned LLMs, called Llama-2-Chat, are optimized for dialogue use cases. Llama-2-Chat models outperform open-source chat models on most benchmarks we tested, and in our human evaluations for helpfulness and safety, are on par with some popular closed-source models like ChatGPT and PaLM.
20
  Read our paper, learn more about the model, or get started with code on GitHub