Anything below the first level of kwargs was not being merged properly.
A more bulletproof solution would be to refactor the loading code
to separate draft and normal model parameters.
Signed-off-by: kingbri <8082010+kingbri1@users.noreply.github.com>
Rather than relying on Content-Length which can be unreliable, ping
the API to get file sizes and work from there.
Signed-off-by: kingbri <8082010+kingbri1@users.noreply.github.com>
Usually, the client and server both are aware of the file size by
sending a Content-Length header. However, HuggingFace has changed
their headers and now does not always send Content-Length.
In this case, show an indeterminate progressbar and mark as complete
once the download finishes.
Signed-off-by: kingbri <8082010+kingbri1@users.noreply.github.com>
It's useful for the client to know what the T/s and total time for
generation are per-request.
Works with both completions and chat completions.
Signed-off-by: kingbri <8082010+kingbri1@users.noreply.github.com>
A common problem in TabbyAPI is that users who want to get up and
running with a model always had issues with max_seq_len causing OOMs.
This is because model devs set max context values in the millions which
requires a lot of VRAM.
To idiot-proof first time setup, make the fallback default 4096 so
users can run their models. If a user still wants to use the model's
max_seq_len, set it to -1.
Signed-off-by: kingbri <8082010+kingbri1@users.noreply.github.com>
These added extra complexity and should be removed and replaced
with a single parameter.
Changes:
- /v1/model/load must use model_name and draft_model_name
- /v1/model/embedding/load must use embedding_model_name
- /v1/template/switch must use prompt_template_name
Signed-off-by: kingbri <8082010+kingbri1@users.noreply.github.com>
Matching YALS, if the model has add_bos_token enabled, then remove
an extra BOS token at the start of the prompt. This usually happens
with misconfigured templates such as Llama 3.
Signed-off-by: kingbri <8082010+kingbri1@users.noreply.github.com>
Tools must be None by default. Chat completion message content can
be None, a string, or a list, so default to None. Exclude all None
values from a CC message since the template can say the variable
"exists" despite being None, causing an error.
Signed-off-by: kingbri <8082010+kingbri1@users.noreply.github.com>
Like YALS, logging all pertinent information after model load makes
it easier to parse by the user.
Signed-off-by: kingbri <8082010+kingbri1@users.noreply.github.com>
Messages were mistakenly being sent as Pydantic objects, but templates
expect dictionaries. Properly convert these before render.
In addition, initialize all Optional lists as an empty list since
this will cause the least problems when interacting with other parts
of API code, such as templates.
Signed-off-by: kingbri <8082010+kingbri1@users.noreply.github.com>
Some packages such as ExllamaV2 and V3 require specific versions for
the latest features. Rather than creating repetitive functions, create
an agnostic function to check the installed package and then report
to the user to upgrade.
This is also sent to requests for loading and unloading, so keep the
error short.
Signed-off-by: kingbri <8082010+kingbri1@users.noreply.github.com>
The HFModel class serves to coalesce all config files that contain
random keys which are required for model usage.
Adding this base class allows us to expand as HuggingFace randomly
changes their JSON schemas over time, reducing the brunt that backend
devs need to feel when their next model isn't supported.
Signed-off-by: kingbri <8082010+kingbri1@users.noreply.github.com>
This parameter is way too confusing and does not make sense in
the modern LLM space.
Change approved by all maintainers.
Signed-off-by: kingbri <8082010+kingbri1@users.noreply.github.com>
If an inference dep isn't present, force exit the application. This
occurs after all subcommands have been appropriately processed.
Signed-off-by: kingbri <8082010+kingbri1@users.noreply.github.com>
