Update README.md

README.md

@@ -14,23 +14,23 @@ license_link: https://falconllm.tii.ae/falcon-terms-and-conditions.html
 
 # Falcon3-7B-Instruct
 
-**Falcon3** family of Open Foundation Models is a set of pretrained and instruct LLMs ranging from 1B to 10B.
+**Falcon3** family of Open Foundation Models is a set of pretrained and instruct LLMs ranging from 1B to 10B parameters.
 
-This repository contains the **Falcon3-7B-Instruct**. It achieves state of art results (at release's time) on reasoning, language understanding, instruction following, code and mathematics tasks.
-Falcon3-7B-Instruct supports 4 languages (english, french, spanish, portuguese) and a context length up to 32K.
+This repository contains the **Falcon3-7B-Instruct**. It achieves state-of-the-art results (at release's time) on reasoning, language understanding, instruction following, code and mathematics tasks.
+Falcon3-7B-Instruct supports 4 languages (English, French, Spanish, Portuguese) and a context length of up to 32K.
 
 ## 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
   - 32K context length
   - 131K vocab size
 - Pretrained on 14 Teratokens of datasets comprising of web, code, STEM, high quality and mutlilingual data using 2048 H100 GPU chips
-- Postrained on 1.2 million samples of STEM, conversations, code, safety and function call data
+- Posttrained on 1.2 million samples of STEM, conversational, code, safety and function call data
 - Supports EN, FR, ES, PT
 - Developed by [Technology Innovation Institute](https://www.tii.ae)
 - License: TII Falcon-LLM License 2.0