Update README.md
Browse files
README.md
CHANGED
|
@@ -7,7 +7,7 @@ sdk: static
|
|
| 7 |
pinned: false
|
| 8 |
---
|
| 9 |
|
| 10 |
-
Text-Generation-Inference is
|
| 11 |
|
| 12 |
- Tensor Parallelism and custom cuda kernels
|
| 13 |
- Optimized transformers code for inference using flash-attention and Paged Attention on the most popular architectures
|
|
|
|
| 7 |
pinned: false
|
| 8 |
---
|
| 9 |
|
| 10 |
+
Text-Generation-Inference is a solution build for deploying and serving Large Language Models (LLMs). TGI enables high-performance text generation using Tensor Parallelism and dynamic batching for the most popular open-source LLMs, including StarCoder, BLOOM, GPT-NeoX, Llama, and T5. Text Generation Inference is already used by customers such as IBM, Grammarly, and the Open-Assistant initiative implements optimization for all supported model architectures, including:
|
| 11 |
|
| 12 |
- Tensor Parallelism and custom cuda kernels
|
| 13 |
- Optimized transformers code for inference using flash-attention and Paged Attention on the most popular architectures
|