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deps(llama.cpp): bump to latest, update build variables (#2669)

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* arrow_up: Update ggerganov/llama.cpp

Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>

* deps(llama.cpp): update build variables to follow upstream

Update build recipes with https://github.com/ggerganov/llama.cpp/pull/8006

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>

* Disable shared libs by default in llama.cpp

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>

* Disable shared libs in llama.cpp Makefile

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>

* Disable metal embedding for now, until it is tested

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>

* fix(mac): explicitly enable metal

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>

* debug

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>

* fix typo

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>

---------

Signed-off-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Co-authored-by: mudler <2420543+mudler@users.noreply.github.com>
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Ettore Di Giacinto 2024-06-27 23:10:04 +02:00 • committed by GitHub
parent 30b883affe
commit 7b1e792732
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9 changed files with 39 additions and 32 deletions
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2
docs/content/docs/advanced/fine-tuning.md
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@ -118,7 +118,7 @@ And we convert it to the gguf format that LocalAI can consume:
# Convert to gguf
git clone https://github.com/ggerganov/llama.cpp.git
pushd llama.cpp && make LLAMA_CUBLAS=1 && popd
pushd llama.cpp && make GGML_CUDA=1 && popd
# We need to convert the pytorch model into ggml for quantization
# It crates 'ggml-model-f16.bin' in the 'merged' directory.

2
docs/content/docs/faq.md
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@ -55,4 +55,4 @@ This typically happens when your prompt exceeds the context size. Try to reduce
### I'm getting a 'SIGILL' error, what's wrong?
Your CPU probably does not have support for certain instructions that are compiled by default in the pre-built binaries. If you are running in a container, try setting `REBUILD=true` and disable the CPU instructions that are not compatible with your CPU. For instance: `CMAKE_ARGS="-DLLAMA_F16C=OFF -DLLAMA_AVX512=OFF -DLLAMA_AVX2=OFF -DLLAMA_FMA=OFF" make build`
Your CPU probably does not have support for certain instructions that are compiled by default in the pre-built binaries. If you are running in a container, try setting `REBUILD=true` and disable the CPU instructions that are not compatible with your CPU. For instance: `CMAKE_ARGS="-DGGML_F16C=OFF -DGGML_AVX512=OFF -DGGML_AVX2=OFF -DGGML_FMA=OFF" make build`

4
docs/content/docs/getting-started/build.md
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@ -101,14 +101,14 @@ Here is the list of the variables available that can be used to customize the bu
LocalAI uses different backends based on ggml and llama.cpp to run models. If your CPU doesn't support common instruction sets, you can disable them during build:
```
CMAKE_ARGS="-DLLAMA_F16C=OFF -DLLAMA_AVX512=OFF -DLLAMA_AVX2=OFF -DLLAMA_AVX=OFF -DLLAMA_FMA=OFF" make build
CMAKE_ARGS="-DGGML_F16C=OFF -DGGML_AVX512=OFF -DGGML_AVX2=OFF -DGGML_AVX=OFF -DGGML_FMA=OFF" make build
```
To have effect on the container image, you need to set `REBUILD=true`:
```
docker run quay.io/go-skynet/localai
docker run --rm -ti -p 8080:8080 -e DEBUG=true -e MODELS_PATH=/models -e THREADS=1 -e REBUILD=true -e CMAKE_ARGS="-DLLAMA_F16C=OFF -DLLAMA_AVX512=OFF -DLLAMA_AVX2=OFF -DLLAMA_AVX=OFF -DLLAMA_FMA=OFF" -v $PWD/models:/models quay.io/go-skynet/local-ai:latest
docker run --rm -ti -p 8080:8080 -e DEBUG=true -e MODELS_PATH=/models -e THREADS=1 -e REBUILD=true -e CMAKE_ARGS="-DGGML_F16C=OFF -DGGML_AVX512=OFF -DGGML_AVX2=OFF -DGGML_AVX=OFF -DGGML_FMA=OFF" -v $PWD/models:/models quay.io/go-skynet/local-ai:latest
```
{{% /alert %}}