Bans the EOS token until the generation reaches a minimum length. This will not prevent the model from otherwise ending the generation early by outputting other stop conditions.
This reverts commit 7556dcf134.
The Optionals allowed requests to send "null" in the body for optional
parameters which should be allowed.
Signed-off-by: kingbri <bdashore3@proton.me>
Appends the banned tokens to the generation. This is equivalent of
setting logit bias to -100 on a specific set of tokens.
Signed-off-by: kingbri <bdashore3@proton.me>
Additive is used to add collections together. Currently, it's used
for lists, but it can be used for dictionaries in the future.
Signed-off-by: kingbri <bdashore3@proton.me>
If max_tokens is None, it automatically scales to fill up the context.
This does not mean the generation will fill up that context since
EOS stops also exist.
Originally suggested by #86
Signed-off-by: kingbri <bdashore3@proton.me>
Speculative ngram decoding is like speculative decoding without the
draft model. It's not as useful because it only decodes on predictable
sequences, but it depends on the usecase.
Signed-off-by: kingbri <bdashore3@proton.me>
Use the module singleton pattern to share global state. This can also
be a modified version of the Global Object Pattern. The main reason
this pattern is used is for ease of use when handling global state
rather than adding extra dependencies for a DI parameter.
Signed-off-by: kingbri <bdashore3@proton.me>
Loguru is a flexible logger that allows for easier hooking and imports
into Rich with no problems. Also makes progress bars stick to the
bottom of the terminal window.
Signed-off-by: kingbri <bdashore3@proton.me>
Using the Outlines library, add support to supply EBNF strings and
pass them to the library for parsing.
From there, a wrapper is created and a filter is passed to generation.
Replace with an in-house solution at some point that's more flexible.
Signed-off-by: kingbri <bdashore3@proton.me>
Add the ability to constrain the return value of a model to be JSON.
Built using the JSON schema standard to define the properties of what
the model should return.
This feature should be more accurate than using GBNF/EBNF to yield
the same results due to the use of lmformatenforcer.
GBNF/EBNF will be added in a different commit/branch.
Signed-off-by: kingbri <bdashore3@proton.me>
Injecting into Pydantic fields caused issues with serialization for
documentation rendering. Rather than reinvent the wheel again,
switch to a chain of if statements for now. This may change in the
future if subclasses from the base sampler request need to be
validated as well.
Signed-off-by: kingbri <bdashore3@proton.me>
Rather than maintaining yet another function to validate sampler
ranges/values, embed them in fields which allows for less
maintainence in the future.
Also add validation for existing samplers that can corrupt
the sampling stack if set improperly.
Signed-off-by: kingbri <bdashore3@proton.me>
Returns token offsets, selected tokens, probabilities of tokens
post-sampling, and normalized probability of selecting a token
pre-sampling (for efficiency purposes).
Only for text completions. Chat completions in a later commit.
Signed-off-by: kingbri <bdashore3@proton.me>
Cleanup how overrides are handled, class naming, and adopt exllamav2's
model class to enforce latest stable version methods rather than
adding multiple backwards compatability checks.
Signed-off-by: kingbri <bdashore3@proton.me>
Does not work if max_temp is less than or equal to min_temp. Sampler
validation will have to be refactored in the future, so the dynamic
temperature check will also be changed.
Signed-off-by: kingbri <bdashore3@proton.me>
The example JSON fields were changed because of the new sampler
default strategy. Fix these by manually changing the values.
Also add support for fasttensors and expose generate_window to
the API. It's recommended to not adjust generate_window as it's
dynamically scaled based on max_seq_len by default.
Signed-off-by: kingbri <bdashore3@proton.me>
Allow users to switch the currently overriden samplers via the API
so a restart isn't required to switch the overrides.
Signed-off-by: kingbri <bdashore3@proton.me>
Unify API sampler params into a superclass which should make them
easier to manage and inherit generic functions from.
Not all frontends expose all sampling parameters due to connections
with OAI (that handles sampling themselves with the exception of
a few sliders).
Add the ability for the user to customize fallback parameters from
server-side.
In addition, parameters can be forced to a certain value server-side
in case the repo automatically sets other sampler values in the
background that the user doesn't want.
Signed-off-by: kingbri <bdashore3@proton.me>
