mirror of
https://github.com/vladmandic/automatic
synced 2026-09-19 09:14:35 +02:00
Update changelog
This commit is contained in:
+2
-2
@@ -8,7 +8,7 @@ This release is all about quantization: with new SD.Next own quantization method
|
||||
**SDNQ** is based on **NNCF**, but has been re-implemented, optimized and evolved enough to become its own quantization method!
|
||||
It's fully cross-platform, supports all GPUs and includes tons of quantization methods:
|
||||
- *8-bit, 6-bit, 4-bit, 2-bit and 1-bit int and uint*
|
||||
- *8-bit e5 and e4 float*
|
||||
- *8-bit e5, e4 and fnuz float*
|
||||
|
||||
Also unlike most traditional methods, its also applicable to nearly all model types
|
||||
|
||||
@@ -25,7 +25,7 @@ Also unlike most traditional methods, its also applicable to nearly all model ty
|
||||
- `INT8` -> `uint8`
|
||||
- `INT4_SYM` -> `int4`
|
||||
- `INT4` -> `uint4`
|
||||
- Add `float8_e4m3fn`, `float8_e5m2`, `int6`, `uint6`, `uint2` and `uint1` support
|
||||
- Add `float8_e4m3fn`, `float8_e5m2`, `float8_e4m3fnuz`, `float8_e5m2fnuz`, `int6`, `uint6`, `uint2` and `uint1` support
|
||||
- Add quantized matmul support for `float8_e4m3fn`
|
||||
- Set the default quant mode to `pre`
|
||||
- Use per token input quant with int8 and fp8 quantized matmul
|
||||
|
||||
Reference in New Issue
Block a user