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README.md

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 This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit). It is a prune of Meta-Llama-3-8B-Instruct down to 20 layers, or about 5.4B models.
 Mostly, this is a test of pruning & healing an instruct-tuned model.
-This size should allow Q8 or Q6 inference on 6GB VRAM, Q5 inference on 4GB VRAM, and full-weight fine-tuning ... well, with less VRAM than an 8B model.
+This size should allow bf16 inference on 24GB VRAM, Q8 or Q6 inference on 6GB VRAM, Q5 inference on 4GB VRAM, and fine-tuning ... well, with less VRAM than an 8B model.
 
 ## Merge Details
 ### Merge Method