The default sampler on some models don't return enough candidates which
leads to a false sense of randomness. Tracing back the code it looks
that with the temperature sampler there might not be enough
candidates to pick from, and since the seed and "randomness" take effect
while picking a good candidate this yields to the same results over and
over.
Fixes https://github.com/mudler/LocalAI/issues/1723 by updating the
examples and documentation to use mirostat instead.
* feat(transformers): support also text generation
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* embedded: set seed -1
---------
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* move downloader out
* separate startup functions for preloading configuration files
* docs: add popular model examples
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* shorteners
* Add llava
* Add mistral-openorca
* Better link to build section
* docs: update
* fixup
* Drop code dups
* Minor fixups
* Apply suggestions from code review
Signed-off-by: Ettore Di Giacinto <mudler@users.noreply.github.com>
* ci: try to cache gRPC build during tests
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
* ci: do not build all images for tests, just necessary
* ci: cache gRPC also in release pipeline
* fixes
* Update model_preload_test.go
Signed-off-by: Ettore Di Giacinto <mudler@users.noreply.github.com>
---------
Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
Signed-off-by: Ettore Di Giacinto <mudler@users.noreply.github.com>
