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Llama3.1-elm-turbo-4B-instruct

Text Generation

text-generation-inference

Inference Endpoints

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dev-slx commited on Jul 30

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@@ -24,7 +24,7 @@ _Fast Inference with Customization:_ As with our previous version, once trained,
 - **HuggingFace** (access ELM Turbo Models in HF): 👉 [here](https://huggingface.co/collections/slicexai/llama31-elm-turbo-66a81aa5f6bcb0b775ba5dd7)
-## ELM Turbo Model Release (Llama 3.1 slices)
 In this version, we employed our new, improved decomposable ELM techniques on a widely used open-source LLM, `meta-llama/Meta-Llama-3.1-8B-Instruct` (8B params) (check [Llama-license](https://huggingface.co/meta-llama/Meta-Llama-3.1-8B/blob/main/LICENSE) for usage). After training, we generated three smaller slices with parameter counts ranging from 3B billion to 6B billion.
 - [Section 1.](https://huggingface.co/slicexai/Llama3.1-elm-turbo-4B-instruct#1-run-elm-turbo-models-with-huggingface-transformers-library) 👉 instructions to run ELM-Turbo with the Huggingface Transformers library.

 - **HuggingFace** (access ELM Turbo Models in HF): 👉 [here](https://huggingface.co/collections/slicexai/llama31-elm-turbo-66a81aa5f6bcb0b775ba5dd7)
+## ELM Turbo Model Release (version for sliced Llama 3.1)
 In this version, we employed our new, improved decomposable ELM techniques on a widely used open-source LLM, `meta-llama/Meta-Llama-3.1-8B-Instruct` (8B params) (check [Llama-license](https://huggingface.co/meta-llama/Meta-Llama-3.1-8B/blob/main/LICENSE) for usage). After training, we generated three smaller slices with parameter counts ranging from 3B billion to 6B billion.
 - [Section 1.](https://huggingface.co/slicexai/Llama3.1-elm-turbo-4B-instruct#1-run-elm-turbo-models-with-huggingface-transformers-library) 👉 instructions to run ELM-Turbo with the Huggingface Transformers library.