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authorKawrakow <48489457+ikawrakow@users.noreply.github.com>2024-07-27 07:55:01 +0200
committerGitHub <noreply@github.com>2024-07-27 07:55:01 +0200
commit154e0d75fccf1784fe9ff6fd76a630b66563da3d (patch)
tree81ce6dbb5b1900c1aa78a879f0593c694cab9d27 /examples/rpc
parent0684c3e9c70d49323b4fc517128cbe222cab7f96 (diff)
Merge mainline llama.cpp (#3)
* Merging mainline - WIP * Merging mainline - WIP AVX2 and CUDA appear to work. CUDA performance seems slightly (~1-2%) lower as it is so often the case with llama.cpp/ggml after some "improvements" have been made. * Merging mainline - fix Metal * Remove check --------- Co-authored-by: Iwan Kawrakow <iwan.kawrakow@gmail.com>
Diffstat (limited to 'examples/rpc')
-rw-r--r--examples/rpc/README.md8
1 files changed, 4 insertions, 4 deletions
diff --git a/examples/rpc/README.md b/examples/rpc/README.md
index 86544e3f..e1da801f 100644
--- a/examples/rpc/README.md
+++ b/examples/rpc/README.md
@@ -29,13 +29,13 @@ You can also run multiple `rpc-server` instances on the same host, each with a d
## Usage
-On each host, build the corresponding backend with `cmake` and add `-DLLAMA_RPC=ON` to the build options.
+On each host, build the corresponding backend with `cmake` and add `-DGGML_RPC=ON` to the build options.
For example, to build the CUDA backend with RPC support:
```bash
mkdir build-rpc-cuda
cd build-rpc-cuda
-cmake .. -DLLAMA_CUDA=ON -DLLAMA_RPC=ON
+cmake .. -DGGML_CUDA=ON -DGGML_RPC=ON
cmake --build . --config Release
```
@@ -58,12 +58,12 @@ $ CUDA_VISIBLE_DEVICES=0 bin/rpc-server -p 50052
This way you can run multiple `rpc-server` instances on the same host, each with a different CUDA device.
-On the main host build `llama.cpp` only with `-DLLAMA_RPC=ON`:
+On the main host build `llama.cpp` only with `-DGGML_RPC=ON`:
```bash
mkdir build-rpc
cd build-rpc
-cmake .. -DLLAMA_RPC=ON
+cmake .. -DGGML_RPC=ON
cmake --build . --config Release
```