slightly tune todos

README.md

@@ -230,16 +230,13 @@ If your candidate PRs have elements of these it doesn't mean they won't get merg
 
 ## unsorted todos
 
-- support Llama 2 7B Chat model and tune run.c to Chat UI/UX
+- should calculate freq_cis online in the script run.c instead of loading them
+- support Llama 2 7B Chat models and tune run.c to Chat UI/UX
 - speed up 7B Llama 2 models sufficiently to work at interactive rates on Apple Silicon MacBooks
-- possibly include emscripten / web backend (as seen in @gg PR)
+- investigate precisions other than just fp32: fp16, and quantization
-- currently the project only runs in fp32, how easy would it be to different precisions?
+- investigate running on other backends, especially GPUs
-- look into quantization and what would be involved
+- add multiquery support into run.c
-- todo multiquery support? doesn't seem as useful for smaller models that run on CPU (?)
+- (LoRA) finetuning and export of Llama 2 models
-- todo support inferencing beyond max_seq_len steps, have to think through the kv cache
-- why is MFU so low (~10%) on my A100 40GB for training?
-- weird errors with torch.compile and wandb when using DDP
-- (LoRA) finetuning of Llama 2 models
 - make more better tests to decrease yolo
 
 ## License