* wip: guess informations from gguf file
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* update go mod
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* Small fixups
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* Identify llama3
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* Do not try to guess the name, as reading gguf files can be expensive
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* Allow to disable guessing
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
---------
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* feat(llama.cpp): Enable decentralized, distributed inference
As https://github.com/mudler/LocalAI/pull/2324 introduced distributed inferencing thanks to
@rgerganov implementation in https://github.com/ggerganov/llama.cpp/pull/6829 in upstream llama.cpp, now
it is possible to distribute the workload to remote llama.cpp gRPC server.
This changeset now uses mudler/edgevpn to establish a secure, distributed network between the nodes using a shared token.
The token is generated automatically when starting the server with the `--p2p` flag, and can be used by starting the workers
with `local-ai worker p2p-llama-cpp-rpc` by passing the token via environment variable (TOKEN) or with args (--token).
As per how mudler/edgevpn works, a network is established between the server and the workers with dht and mdns discovery protocols,
the llama.cpp rpc server is automatically started and exposed to the underlying p2p network so the API server can connect on.
When the HTTP server is started, it will discover the workers in the network and automatically create the port-forwards to the service locally.
Then llama.cpp is configured to use the services.
This feature is behind the "p2p" GO_FLAGS
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* go mod tidy
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* ci: add p2p tag
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* better message
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
---------
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* auto select cpu variant
Signed-off-by: Sertac Ozercan <sozercan@gmail.com>
* remove cuda target for now
Signed-off-by: Sertac Ozercan <sozercan@gmail.com>
* fix metal
Signed-off-by: Sertac Ozercan <sozercan@gmail.com>
* fix path
Signed-off-by: Sertac Ozercan <sozercan@gmail.com>
* cuda
Signed-off-by: Sertac Ozercan <sozercan@gmail.com>
* auto select cuda
Signed-off-by: Sertac Ozercan <sozercan@gmail.com>
* update test
Signed-off-by: Sertac Ozercan <sozercan@gmail.com>
* select CUDA backend only if present
Signed-off-by: mudler <mudler@localai.io>
* ci: keep cuda bin in path
Signed-off-by: mudler <mudler@localai.io>
* Makefile: make dist now builds also cuda
Signed-off-by: mudler <mudler@localai.io>
* Keep pushing fallback in case auto-flagset/nvidia fails
There could be other reasons for which the default binary may fail. For example we might have detected an Nvidia GPU,
however the user might not have the drivers/cuda libraries installed in the system, and so it would fail to start.
We keep the fallback of llama.cpp at the end of the llama.cpp backends to try to fallback loading in case things go wrong
Signed-off-by: mudler <mudler@localai.io>
* Do not build cuda on MacOS
Signed-off-by: mudler <mudler@localai.io>
* cleanup
Signed-off-by: Sertac Ozercan <sozercan@gmail.com>
* Apply suggestions from code review
Signed-off-by: Ettore Di Giacinto <mudler@users.noreply.github.com>
---------
Signed-off-by: Sertac Ozercan <sozercan@gmail.com>
Signed-off-by: Ettore Di Giacinto <mudler@users.noreply.github.com>
Signed-off-by: mudler <mudler@localai.io>
Co-authored-by: Ettore Di Giacinto <mudler@users.noreply.github.com>
Co-authored-by: mudler <mudler@localai.io>
* feat: migrate to alecthomas/kong for CLI
Signed-off-by: Chris Jowett <421501+cryptk@users.noreply.github.com>
* feat: bring in new flag for granular log levels
Signed-off-by: Chris Jowett <421501+cryptk@users.noreply.github.com>
* chore: go mod tidy
Signed-off-by: Chris Jowett <421501+cryptk@users.noreply.github.com>
* feat: allow loading cli flag values from ["./localai.yaml", "~/.config/localai.yaml", "/etc/localai.yaml"] in that order
Signed-off-by: Chris Jowett <421501+cryptk@users.noreply.github.com>
* feat: load from .env file instead of a yaml file
Signed-off-by: Chris Jowett <421501+cryptk@users.noreply.github.com>
* feat: better loading for environment files
Signed-off-by: Chris Jowett <421501+cryptk@users.noreply.github.com>
* feat(doc): add initial documentation about configuration
Signed-off-by: Chris Jowett <421501+cryptk@users.noreply.github.com>
* fix: remove test log lines
Signed-off-by: Chris Jowett <421501+cryptk@users.noreply.github.com>
* feat: integrate new documentation into existing pages
Signed-off-by: Chris Jowett <421501+cryptk@users.noreply.github.com>
* feat: add documentation on .env files
Signed-off-by: Chris Jowett <421501+cryptk@users.noreply.github.com>
* fix: cleanup some documentation table errors
Signed-off-by: Chris Jowett <421501+cryptk@users.noreply.github.com>
* feat: refactor CLI logic out to it's own package under core/cli
Signed-off-by: Chris Jowett <421501+cryptk@users.noreply.github.com>
---------
Signed-off-by: Chris Jowett <421501+cryptk@users.noreply.github.com>
* core 1
* api/openai/files fix
* core 2 - core/config
* move over core api.go and tests to the start of core/http
* move over localai specific endpoints to core/http, begin the service/endpoint split there
* refactor big chunk on the plane
* refactor chunk 2 on plane, next step: port and modify changes to request.go
* easy fixes for request.go, major changes not done yet
* lintfix
* json tag lintfix?
* gitignore and .keep files
* strange fix attempt: rename the config dir?
* Initial implementation of upload files api.
* Move sanitize method to utils.
* Save uploaded data to uploads folder.
* Avoid loop if we do not have a purpose.
* Minor cleanup of api and fix bug where deleting duplicate filename cause error.
* Revert defer of saving config
* Moved creation of directory to startup.
* Make file names unique when storing on disk.
* Add test for files api.
* Update dependencies.
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[github.com/nomic-ai/gpt4all/gpt4all-bindings/golang](https://togithub.com/nomic-ai/gpt4all)
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Adding subcommands to do certain actions directly from the command line.
I'm starting with the models subcommand allowing you to list models from
your galleries and install them.
This PR partially fixes#816
My intention is to keep adding other subcommands, but I think this is a
good start, and I think this already provides value.
Also, I added a new dependency to generate the progress bar in the
command line, it is not "needed" but I think is a nice to have to have a
cooler interface.
Here is a screenshot:
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This PR contains the following updates:
| Package | Type | Update | Change |
|---|---|---|---|
|
[github.com/go-skynet/go-llama.cpp](https://togithub.com/go-skynet/go-llama.cpp)
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| Package | Type | Update | Change |
|---|---|---|---|
| [google.golang.org/grpc](https://togithub.com/grpc/grpc-go) | require
| patch | `v1.58.2` -> `v1.58.3` |
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### Release Notes
<details>
<summary>grpc/grpc-go (google.golang.org/grpc)</summary>
### [`v1.58.3`](https://togithub.com/grpc/grpc-go/releases/tag/v1.58.3)
[Compare
Source](https://togithub.com/grpc/grpc-go/compare/v1.58.2...v1.58.3)
### Security
- server: prohibit more than MaxConcurrentStreams handlers from running
at once (CVE-2023-44487)
In addition to this change, applications should ensure they do not leave
running tasks behind related to the RPC before returning from method
handlers, or should enforce appropriate limits on any such work.
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This PR contains the following updates:
| Package | Type | Update | Change |
|---|---|---|---|
| [github.com/onsi/ginkgo/v2](https://togithub.com/onsi/ginkgo) |
require | minor | `v2.12.1` -> `v2.13.0` |
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### Release Notes
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<summary>onsi/ginkgo (github.com/onsi/ginkgo/v2)</summary>
### [`v2.13.0`](https://togithub.com/onsi/ginkgo/releases/tag/v2.13.0)
[Compare
Source](https://togithub.com/onsi/ginkgo/compare/v2.12.1...v2.13.0)
#### 2.13.0
##### Features
Add PreviewSpect() to enable programmatic preview access to the suite
report (fixes
[#​1225](https://togithub.com/onsi/ginkgo/issues/1225))
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