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README.md

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 # TamiLM Hebrew Nano
 
-A Modern Hebrew specialized LLM based on the RWKVv6 Architecture
-Trained only on Modern Hebrew datasets, with a custom vocabulary optimized for Modern Hebrew
+A Modern Hebrew specialized LLM based on the RWKVv6 Architecture  
+Trained only on Modern Hebrew datasets, with a custom vocabulary optimized for Modern Hebrew  
 
 Trained at [Tel Aviv Makers Hackerspace](https://wiki.telavivmakers.org/) 
 
 ### Params
 
-Layers | 12
-Depth  | 512
-Head size | 64
-Train ctx_len | 512
-Train tokens | 6,841,411,389
-Vocab size | 65536
+Layers `12`  
+Depth  `512`  
+Head size `64`  
+Train ctx_len `512`  
+Train tokens `6,841,411,389 (6 Billion)`  
+Vocab size `65536`  
 
 ### Train Compute
 
-All compute was performed on a single Nvidia P40 card
-Experiments: 62 hours 52 Minutes
-Training run: 208 hours 10 Minutes
+All compute was performed on a single Nvidia P40 card  
+Experiments: `62 hours 52 Minutes (2.6 days)`  
+Training run: `208 hours 10 Minutes (8.6 days)`  
 
 ### How to run