using gemma2 2B model for js llm inference #477
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hi @schmidt-sebastian @PaulTR , could you please review the PR and suggest if any changes required thanks ! |
| @@ -13,7 +13,7 @@ This web sample demonstrates how to use the LLM Inference API to run common text | |||
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| Follow the following instructions to run the sample on your device: | |||
| 1. Make a folder for the task, named as `llm_task`, and copy the [index.html](https://github.com/googlesamples/mediapipe/blob/main/examples/llm_inference/js/index.html) and [index.js](https://github.com/googlesamples/mediapipe/blob/main/examples/llm_inference/js/index.js) files into your `llm_task` folder. | |||
| 2. Download [Gemma 2B](https://www.kaggle.com/models/google/gemma/frameworks/tfLite/variations/gemma-2b-it-gpu-int4) (TensorFlow Lite 2b-it-gpu-int4 or 2b-it-gpu-int8) or convert an external LLM (Phi-2, Falcon, or StableLM) following the [guide](https://developers.google.com/mediapipe/solutions/genai/llm_inference/web_js#convert-model) (only gpu backend is currently supported), into the `llm_task` folder. | |||
| 2. Download [Gemma2 2B](https://www.kaggle.com/models/google/gemma-2/tfLite/gemma2-2b-it-gpu-int8) (TensorFlow Lite 2b-it-gpu-int8 or 2b-it-cpu-int8) or convert an external LLM (Phi-2, Falcon, or StableLM) following the [guide](https://developers.google.com/mediapipe/solutions/genai/llm_inference/web_js#convert-model) (only gpu backend is currently supported), into the `llm_task` folder. | |||
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We don't support CPU models on Web.
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(We might also leave both models up until we have an int4 model of Gemma 2)
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Description
Updating the model to use gemma2 for js llm inference
Fixes # (issue)
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