feat(llama.cpp): update (#1024)

**Description**

This PR fixes #

**Notes for Reviewers**


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commits](../CONTRIBUTING.md#signing-off-on-commits-developer-certificate-of-origin)**
- [ ] Yes, I signed my commits.
 

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---------

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
This commit is contained in:
Ettore Di Giacinto 2023-09-08 18:38:22 +02:00 committed by GitHub
parent 44b39195d6
commit cc74fc93b4
No known key found for this signature in database
GPG Key ID: 4AEE18F83AFDEB23
2 changed files with 24 additions and 2 deletions

18
.env
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@ -23,6 +23,12 @@ MODELS_PATH=/models
## Enable debug mode ## Enable debug mode
# DEBUG=true # DEBUG=true
## Disables COMPEL (Diffusers)
# COMPEL=0
## Enable/Disable single backend (useful if only one GPU is available)
# SINGLE_ACTIVE_BACKEND=true
## Specify a build type. Available: cublas, openblas, clblas. ## Specify a build type. Available: cublas, openblas, clblas.
## cuBLAS: This is a GPU-accelerated version of the complete standard BLAS (Basic Linear Algebra Subprograms) library. It's provided by Nvidia and is part of their CUDA toolkit. ## cuBLAS: This is a GPU-accelerated version of the complete standard BLAS (Basic Linear Algebra Subprograms) library. It's provided by Nvidia and is part of their CUDA toolkit.
## OpenBLAS: This is an open-source implementation of the BLAS library that aims to provide highly optimized code for various platforms. It includes support for multi-threading and can be compiled to use hardware-specific features for additional performance. OpenBLAS can run on many kinds of hardware, including CPUs from Intel, AMD, and ARM. ## OpenBLAS: This is an open-source implementation of the BLAS library that aims to provide highly optimized code for various platforms. It includes support for multi-threading and can be compiled to use hardware-specific features for additional performance. OpenBLAS can run on many kinds of hardware, including CPUs from Intel, AMD, and ARM.
@ -44,3 +50,15 @@ MODELS_PATH=/models
## Specify a default upload limit in MB (whisper) ## Specify a default upload limit in MB (whisper)
# UPLOAD_LIMIT # UPLOAD_LIMIT
## List of external GRPC backends (note on the container image this variable is already set to use extra backends available in extra/)
# EXTERNAL_GRPC_BACKENDS=my-backend:127.0.0.1:9000,my-backend2:/usr/bin/backend.py
### Advanced settings ###
### Those are not really used by LocalAI, but from components in the stack ###
##
### Preload libraries
# LD_PRELOAD=
### Huggingface cache for models
# HUGGINGFACE_HUB_CACHE=/usr/local/huggingface

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@ -4,7 +4,7 @@ GOVET=$(GOCMD) vet
BINARY_NAME=local-ai BINARY_NAME=local-ai
# llama.cpp versions # llama.cpp versions
GOLLAMA_VERSION?=371ecd13c7fe00d281cb19c6588574134d7091b1 GOLLAMA_VERSION?=05dc4b6210cde186ce47369fa0a8296390950851
GOLLAMA_STABLE_VERSION?=50cee7712066d9e38306eccadcfbb44ea87df4b7 GOLLAMA_STABLE_VERSION?=50cee7712066d9e38306eccadcfbb44ea87df4b7
@ -38,6 +38,7 @@ STABLEDIFFUSION_VERSION?=d89260f598afb809279bc72aa0107b4292587632
GOGGLLM_VERSION?=862477d16eefb0805261c19c9b0d053e3b2b684b GOGGLLM_VERSION?=862477d16eefb0805261c19c9b0d053e3b2b684b
export BUILD_TYPE?= export BUILD_TYPE?=
export CMAKE_ARGS?=
CGO_LDFLAGS?= CGO_LDFLAGS?=
CUDA_LIBPATH?=/usr/local/cuda/lib64/ CUDA_LIBPATH?=/usr/local/cuda/lib64/
GO_TAGS?= GO_TAGS?=
@ -64,9 +65,12 @@ ifndef UNAME_S
UNAME_S := $(shell uname -s) UNAME_S := $(shell uname -s)
endif endif
# workaround for rwkv.cpp
ifeq ($(UNAME_S),Darwin) ifeq ($(UNAME_S),Darwin)
CGO_LDFLAGS += -lcblas -framework Accelerate CGO_LDFLAGS += -lcblas -framework Accelerate
ifneq ($(BUILD_TYPE),metal)
# explicit disable metal if on Darwin and metal is disabled
CMAKE_ARGS+=-DLLAMA_METAL=OFF
endif
endif endif
ifeq ($(BUILD_TYPE),openblas) ifeq ($(BUILD_TYPE),openblas)