Organization card

README.md

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 ## On Hugging Face
 
-Open LLMs quantized for Tenstorrent Tensix NPUs. Each model's linear layers are rounded onto TT-NN's
-block floating point grids, `bfloat4_b` (BFP4) or `bfloat8_b` (BFP8), by GPTQ, so TT-NN packs the
-weights without rounding them again. Every card lists the formats per tensor class and the model's KL
-and answer check against bf16, beside llama.cpp's Q4_K_M of the same model.
+Open LLMs quantized for Tenstorrent Tensix NPUs. Each model's linear layers are quantized to TT-NN's
+block floating point formats, `bfloat4_b` (BFP4) or `bfloat8_b` (BFP8), with GPTQ, so TT-NN packs the
+weights as they are. Every card lists the formats per tensor class and the model's KL and answer check
+against bf16, beside llama.cpp's Q4_K_M of the same model.
 
 The code that makes them is [tensix-bfp-gptq](https://github.com/XylolabsInc/tensix-bfp-gptq)
 (Apache-2.0).