Update README.md (#2)

- Update README.md (9af2c409cc322be6598edde67652aaf2b64c0a99)


Co-authored-by: Kasper Piskorski <kpiskorski@users.noreply.huggingface.co>

README.md

@@ -16,16 +16,16 @@ license_link: https://falconllm.tii.ae/falcon-terms-and-conditions.html
 
 **Falcon3** family of Open Foundation Models is a set of pretrained and instruct LLMs ranging from 1B to 10B.
 
-This repository contains the **Falcon3-7B-Base**. It achieves state of art results (at release's time) on reasoning, language understanding, instruction following, code and mathematics tasks.
-Falcon3-7B-Base supports 4 languages (english, french, spanish, portuguese) and a context length up to 32K.
+This repository contains the **Falcon3-7B-Base**. It achieves state-of-the-art results (at release's time) on reasoning, language understanding, instruction following, code and mathematics tasks.
+Falcon3-7B-Base supports 4 languages (English, French, Spanish, Portuguese) and a context length of up to 32K.
 
-⚠️ **This is a raw, pretrained model, which should be further finetuned using SFT, RLHF, continued pretraining, etc. for most usecases.** 
+⚠️ **This is a raw, pretrained model, which should be further finetuned using SFT, RLHF, continued pretraining, etc. for most use cases.** 
 
 ## Model Details
 - Architecture
-  - Transformer based causal decoder only architecture
+  - Transformer-based causal decoder-only architecture
   - 28 decoder blocks
-  - Grouped query attention (GQA) for faster inference: 12 query heads and 4 key value heads
+  - Grouped Query Attention (GQA) for faster inference: 12 query heads and 4 key-value heads
   - Wider head dimension: 256
   - High RoPE value to support long context understanding: 1000042
   - Uses SwiGLU and RMSNorm