Skip to content

Commit 4334e74

Browse files
committed
docs: revert block indentation
Signed-off-by: Aaron Teo <[email protected]>
1 parent 08741c5 commit 4334e74

File tree

1 file changed

+8
-8
lines changed

1 file changed

+8
-8
lines changed

docs/build-s390x.md

Lines changed: 8 additions & 8 deletions
Original file line numberDiff line numberDiff line change
@@ -121,21 +121,21 @@ All models need to be converted to Big-Endian. You can achieve this in three cas
121121

122122
### 1. Virtualization Setup
123123

124-
We strongly recommend using only LPAR (Type-1) virtualization to get the most performance.
125-
126-
Note: Type-2 virtualization is not supported at the moment, while you can get it running, the performance will not be the best.
124+
We strongly recommend using only LPAR (Type-1) virtualization to get the most performance.
125+
126+
Note: Type-2 virtualization is not supported at the moment, while you can get it running, the performance will not be the best.
127127

128128
### 2. IFL (Core) Count
129129

130-
We recommend a minimum of 8 shared IFLs assigned to the LPAR. Increasing the IFL count past 8 shared IFLs will only improve Prompt Processing performance but not Token Generation.
131-
132-
Note: IFL count does not equate to vCPU count.
130+
We recommend a minimum of 8 shared IFLs assigned to the LPAR. Increasing the IFL count past 8 shared IFLs will only improve Prompt Processing performance but not Token Generation.
131+
132+
Note: IFL count does not equate to vCPU count.
133133

134134
### 3. SMT vs NOSMT (Simultaneous Multithreading)
135135

136-
We strongly recommend disabling SMT via the kernel boot parameters as it negatively affects performance. Please refer to your Linux distribution's guide on disabling SMT via kernel boot parameters.
136+
We strongly recommend disabling SMT via the kernel boot parameters as it negatively affects performance. Please refer to your Linux distribution's guide on disabling SMT via kernel boot parameters.
137137
138138
### 4. BLAS vs NOBLAS
139139
140-
We strongly recommend using BLAS for llama.cpp as there are no custom kernels for s390x for llama.cpp at the moment.
140+
We strongly recommend using BLAS for llama.cpp as there are no custom kernels for s390x for llama.cpp at the moment.
141141

0 commit comments

Comments
 (0)