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Which is faster - vLLM, TGI or TensorRT? : r LocalLLaMA - Reddit The three inference options I see are: vLLM TGI from huggingface TensorRT from Nvidia The screenshot below is from a Run AI Labs report (testing was with Llama 2 7B) It seems to suggest that all three are similar, with TGI marginally faster at lower queries per second, and vLLM fastest at higher query rates (which seems server related) My
TGI Fridays Black Bean Soup recipe : r Cooking - Reddit I used to work at a TGI Friday's back in the 90's and confirm this recipe is spot on I've made it a few times myself, though I was a line cook there not a prep cook
Request - TGI Fridays Legendary Glaze (used to be called . . . - Reddit Request - TGI Fridays "Legendary Glaze" (used to be called Jack Daniels sauce) Looking to find the recipe for the above, it's so good with fries, fried chicken, burgers and so many foods Edit: Thanks for being so helpful but just to cover those suggesting places to get similar sauces I am in the UK so don't have access to stores like Walmart
LLM Comparison using TGI: Mistral, Falcon-7b, Santacoder . . . - Reddit In this benchmark, we evaluate and compare select LLMs deployed through TGI This will provide insights into model performance under varying loads Models for comparison We’ve selected the following models for our benchmark, each with its unique capabilities: Mistral CodeLlama Falcon 7b Santacoder Test parameters