rollama 0.3.1
query() can now batch annotate several images with the
same prompt by passing images as a list (one element per
query)
- updated image annotation vignette to explain batch annotation
create_model() gains renderer and parser params
query()/chat()
output = "data.frame"/"list" now include
thinking and tool_calls from the response
think argument in query()/chat() now
accepts
"high"/"medium"/"low"/"max"
in addition to TRUE/FALSE
- fixes issue in tests
- bug fixes
rollama 0.3.0
- adds option to cache responses
- query now supports logprobs output
- make it possible to supply several questions at once
- add authentication vignette
- implemented structured outputs (including new vignette)
- synced package with Ollama API changes
- adds list_running_models()
- updated chat() and query()
- update parameters in embed_text()
- update parameters and output in show_model()
- rewrote progress and answer streaming
- bug fixes
rollama 0.2.1
- added support for structured output
- added support for custom headers (e.g., for authentication)
- added option for custom outputs
- some bug fixes and improved documentation
rollama 0.2.0
- added make_query() function to facilitate easier annotation
- added more output formats to query()/chat()
- improved performance of embed_text()
- improved performance of query() for multiple queries
- changed default model to llama3.1
- added option to employ multiple servers
- pull_model() gained verbose option
- improved annotation vignette
- added vignette on how to use Hugging Face Hub models
- some bug fixes
rollama 0.1.0
- adds function
check_model_installed
- changes default model to llama3
rollama 0.0.3
- add option to query several models at once
- dedicated embedding models are available now (see
vignette("text-embedding", "rollama"))
- error handling and bug fixes
rollama 0.0.2