Commit
•
5ce4e49
1
Parent(s):
9359cc2
Update README.md
Browse files
README.md
CHANGED
|
@@ -1,6 +1,10 @@
|
|
| 1 |
---
|
| 2 |
license: mit
|
| 3 |
---
|
|
|
|
|
|
|
|
|
|
|
|
|
| 4 |
# INT4 Weight-only Quantization and Deployment (W4A16)
|
| 5 |
|
| 6 |
LMDeploy adopts [AWQ](https://arxiv.org/abs/2306.00978) algorithm for 4bit weight-only quantization. By developed the high-performance cuda kernel, the 4bit quantized model inference achieves up to 2.4x faster than FP16.
|
|
|
|
| 1 |
---
|
| 2 |
license: mit
|
| 3 |
---
|
| 4 |
+
<div align="center">
|
| 5 |
+
<img src="https://raw.githubusercontent.com/InternLM/lmdeploy/0be9e7ab6fe9a066cfb0a09d0e0c8d2e28435e58/resources/lmdeploy-logo.svg" width="450"/>
|
| 6 |
+
</div>
|
| 7 |
+
|
| 8 |
# INT4 Weight-only Quantization and Deployment (W4A16)
|
| 9 |
|
| 10 |
LMDeploy adopts [AWQ](https://arxiv.org/abs/2306.00978) algorithm for 4bit weight-only quantization. By developed the high-performance cuda kernel, the 4bit quantized model inference achieves up to 2.4x faster than FP16.
|