Add generic inference engine to allow dynamic selection by the user #1226
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The generic inference engine enables users to set the actual inference engine dynamically via the inference_engine environment variable. Additionally, the class includes a default parameter, which specifies the inference engine to use if the environment variable is not set. For example, when the inference_engine variable is not set, the engine will default to ibm_gen_ai.llama_3_8b_instruct. However, if inference_engine=ollama.llama2 is set, it will switch to the Ollama model. This update allows lm-eval users to run the UniTXT dataset with LLMaaJ using any supported inference engine.
elronbandel
approved these changes
Sep 19, 2024
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The generic inference engine enables users to set the actual inference engine dynamically via the inference_engine environment variable. Additionally, the class includes a default parameter, which specifies the inference engine to use if the environment variable is not set.
For example, when the inference_engine variable is not set, the engine will
default to ibm_gen_ai.llama_3_8b_instruct. However, if
inference_engine=ollama.llama2 is set, it will switch to the Ollama model.
This update allows lm-eval users to run the UniTXT dataset with LLMaaJ using any supported inference engine.