The Llama 3.2 11B Vision Instruct model is part of Meta’s latest series of large language models that introduce significant advancements in multimodal AI capabilities, allowing for both text and image inputs.
Library | Inference Time | Cold Start Time |
---|---|---|
Transformers | 2.44 sec | 10.60 sec |
model.py
.
def initialize
: In this function, you will initialize your model and define any variable
that you want to use during inference.
def infer
: This function gets called for every request that you send. Here you can define all the steps that are required for the inference. You can also pass custom values for inference and pass it through inputs(dict)
parameter.
def finalize
: This function cleans up all the allocated memory.
prompt
, image_url
and max_new_tokens
which are required during the API call. Now lets create the input_schema.py
.
inferless remote-run
(installation guide here) command to test your model or any custom Python script in a remote GPU environment directly from your local machine. Make sure that you use Python3.10
for seamless experience.
inferless
library and initialize Cls(gpu="A100")
. The available GPU options are T4
, A10
and A100
.initialize
and infer
functions with @app.load
and @app.infer
respectively.my_local_entry
) with @inferless.local_entry_point
.
Within this function, instantiate your model class, convert any incoming parameters into a RequestObjects
object, and invoke the model’s infer
method.app.py
and your inferless-runtime-config.yaml
and run:
--max_new_tokens
) as long as your code expects them in the inputs
dictionary.
If you want to exclude certain files or directories from being uploaded, use the --exclude
or -e
flag.
Add a custom model
button that you see on the top right. An import wizard will open up.
HF_TOKEN
in step 4. This environment variable will be used to authenticate your requests to Hugging Face.
--gpu A100
: Specifies the GPU type for deployment. Available options include A10
, A100
, and T4
.--runtime inferless-runtime-config.yaml
: Defines the runtime configuration file. If not specified, the default Inferless runtime is used.