Granite3 default template uses strftime_now function.
Currently Jinja2 raises an exception because strftime_now is undefined and /v1/chat/completions endpoint doesn't work with these models when a template from the model metadata is used.
Migrate OpenAPI and sample config export to subcommands "export-openapi"
and "export-config".
Also add a "download" subcommand that passes args to the TabbyAPI
downloader. This allows models to be downloaded via the API and
CLI args.
Signed-off-by: kingbri <8082010+kingbri1@users.noreply.github.com>
Uvloop/Winloop does provide advantages to asyncio vs the standard
Proactor loop, so remove experimental status.
Signed-off-by: kingbri <8082010+kingbri1@users.noreply.github.com>
The previous code overrode the existing gpu split and device idx
values. This now sets an independent draft_gpu_split value and
adjusts the gpu_devices check only if the draft_gpu_split array
is larger than the gpu_split array.
Draft gpu split is not Tensor Parallel, and defaults to gpu_split_auto
if a split is not provided.
Signed-off-by: kingbri <8082010+kingbri1@users.noreply.github.com>
Was against this for a while due to the length of timestamps clogging
the console, but it makes sense to know when something goes wrong.
Signed-off-by: kingbri <8082010+kingbri1@users.noreply.github.com>
On a basic python class, class attributes are handled by reference,
meaning that every instance of embeddings would attach to that reference
and allocate more memory.
Switch to a Pydantic class and factory methods when instantiating.
Signed-off-by: kingbri <8082010+kingbri1@users.noreply.github.com>
The model_type internal reference was changed to an enum for
a more extendable loading process. Return the current model type
when loading a new model.
Signed-off-by: kingbri <bdashore3@proton.me>
Migrate the add method into the class itself. Also, a BaseModel isn't
needed here since this isn't a serialized class.
Signed-off-by: kingbri <bdashore3@proton.me>
* Support image_url inputs containing URLs or base64 strings following OAI vision spec
* Use async lru cache for image embeddings
* Add generic wrapper class for multimodal embeddings
If an API key sends a dummy model, it shouldn't error as the server
is catering to clients that expect specific OAI model names. This
is a problem with inline model loading since these names would error
by default. Therefore, add an exception if the provided name is in the
dummy model names (which also doubles as inline strict exceptions).
However, the dummy model names weren't configurable, so add a new
option to specify exception names, otherwise the default is gpt-3.5-turbo.
Signed-off-by: kingbri <bdashore3@proton.me>
Adds the ability to load vision parts of text + image models. Requires
an explicit flag in config because there isn't a way to automatically
determine whether the vision tower should be used.
Signed-off-by: kingbri <bdashore3@proton.me>
* improve validation
* remove to_gen_params functions
* update changes for all endpoint types
* OAI: Fix calls to generation
Chat completion and completion need to have prompt split out before
pushing to the backend.
Signed-off-by: kingbri <bdashore3@proton.me>
* Sampling: Convert Top-K values of -1 to 0
Some OAI implementations use -1 as disabled instead of 0. Therefore,
add a coalesce case.
Signed-off-by: kingbri <bdashore3@proton.me>
* Sampling: Format and space out
Make the code more readable.
Signed-off-by: kingbri <bdashore3@proton.me>
* Sampling: Fix mirostat
Field items are nested in data within a Pydantic FieldInfo
Signed-off-by: kingbri <bdashore3@proton.me>
* Sampling: Format
Signed-off-by: kingbri <bdashore3@proton.me>
* Sampling: Fix banned_tokens and allowed_tokens conversion
If the provided string has whitespace, trim it before splitting.
Signed-off-by: kingbri <bdashore3@proton.me>
* Sampling: Add helpful log to dry_sequence_breakers
Let the user know if the sequence errors out.
Signed-off-by: kingbri <bdashore3@proton.me>
* Sampling: Apply validators in right order
Validators need to be applied in order from top to bottom, this is why
the after validator was not being applied properly.
Set the model to validate default params for sampler override purposes.
This can be turned off if there are unclear errors.
Signed-off-by: kingbri <bdashore3@proton.me>
* Endpoints: Format
Cleanup and semantically fix field validators
Signed-off-by: kingbri <bdashore3@proton.me>
* Kobold: Update validators and fix parameter application
Validators on parent fields cannot see child fields. Therefore,
validate using the child fields instead and alter the parent field
data from there.
Also fix badwordsids casting.
Signed-off-by: kingbri <bdashore3@proton.me>
* Sampling: Remove validate defaults and fix mirostat
If a user sets an override to a non-default value, that's their
own fault.
Run validator on the actual mirostat_mode parameter rather than
the alternate mirostat parameter.
Signed-off-by: kingbri <bdashore3@proton.me>
* Kobold: Rework badwordsids
Currently, this serves to ban the EOS token. All other functionality
was legacy, so remove it.
Signed-off-by: kingbri <bdashore3@proton.me>
* Model: Remove HuggingfaceConfig
This was only necessary for badwordsids. All other fields are handled
by exl2. Keep the class as a stub if it's needed again.
Signed-off-by: kingbri <bdashore3@proton.me>
* Kobold: Bump kcpp impersonation
TabbyAPI supports XTC now.
Signed-off-by: kingbri <bdashore3@proton.me>
* Sampling: Change alias to validation_alias
Reduces the probability for errors and makes the class consistent.
Signed-off-by: kingbri <bdashore3@proton.me>
* OAI: Use constraints for validation
Instead of adding a model_validator, use greater than or equal to
constraints provided by Pydantic.
Signed-off-by: kingbri <bdashore3@proton.me>
* Tree: Lint
Signed-off-by: kingbri <bdashore3@proton.me>
---------
Co-authored-by: SecretiveShell <84923604+SecretiveShell@users.noreply.github.com>
Co-authored-by: kingbri <bdashore3@proton.me>
* fix config file loader
* prune nonetype values from config dict
fixes default values not initialising properly
* Utils: Shrink None removal function
It is more concise to use a list and dict collection if necessary
rather than iterating through and checking each value. Tested and
works with Tabby's cases.
Signed-off-by: kingbri <bdashore3@proton.me>
---------
Signed-off-by: kingbri <bdashore3@proton.me>
Co-authored-by: kingbri <bdashore3@proton.me>
ExllamaV2 should check for solely exllamav2, otherwise errors don't
make sense. Migrate the combined "exl2" computed property to "inference"
since those are the required dependencies for minimal inference.
Signed-off-by: kingbri <bdashore3@proton.me>
Since the full argparser requires pydantic, gate it until all dependencies
are installed.
Also if the venv is deleted, assume that start_options.json is invalid
as well.
Signed-off-by: kingbri <bdashore3@proton.me>
There's no native way to handle case insensitivity in pydantic, so
add a validator which converts the API server input to be lowercase.
Signed-off-by: kingbri <bdashore3@proton.me>
Loaders that read use a safe type while loaders that write use both
round-trip and safe options.
Also don't create module-level parsers where they're not needed.
Signed-off-by: kingbri <bdashore3@proton.me>
The loader takes in the "draft" parameter, so map the config model
to that when creating kwargs for initial load.
Also map the old "draft" key to the new "draft_model" key.
Signed-off-by: kingbri <bdashore3@proton.me>
This is not ideal because users may still have trouble understanding
what a lora includes, but adding an example comment will help instead
of leaving a blank line.
Signed-off-by: kingbri <bdashore3@proton.me>
- Let the user know that migration is going to be attempted
- Have a more informative error message if auto-migration fails
- Revert back to the old config file on failure
- Don't load with a partially parsed config
Signed-off-by: kingbri <bdashore3@proton.me>
If a sub-field exists in the model provided to the file generator,
use it. Otherwise always fallback to the default factory. This prevents
any subsequent errors from setting None.
Signed-off-by: kingbri <bdashore3@proton.me>
