● Yes, let it continue. The agent is right on both points:

  1. The extended_model files are correct — modeling_cohere_asr.py, tokenization_cohere_asr.py, special_tokens_map.json don't  
  change during training. Only model.safetensors changes. The copies are fine.
  2. The dither/device fix — it just needs to move the generator to CUDA before inference. Standard pattern is model.to("cuda")
   then the feature extractor's generator follows, or explicitly set device="cuda" when creating the processor. Let the agent  
  fix it.
                                                                                                                               
  Let me also push those missing files to R2 so the checkpoint is self-contained:                                              
  
● Bash(# Push the missing code files to R2 so ckpt-10000 is fully self-contained                                               
      SRC="/workspace/training/tokenizer_extension/extended_model"…)
  ⎿  === R2 model/ ===                                                                                                         
          4203 config.json        
          1659 configuration_cohere_asr.py                                                                                     
     … +11 lines (ctrl+o to expand)                               
                                                                                                                               
● R2 checkpoint is now fully self-contained. All files present for both model loading and inference. Let the other agent       
  continue with the dither fix.                                                                                                
                                                                                                                               
✻ Baked for 39s                                                                                                                
                                                                                                                               
❯ but we changed the tokenizer size right. it didnt change the special tokens ?                                                
                                                                                
● Good question. Let me verify — the special tokens map in the checkpoint should match what our extended tokenizer actually    
  uses:                                                           
                                                                                                                               
● Bash(python3 -c "
      import json, sys…)                                                                                                       
  ⎿  === SPECIAL TOKENS IN EXTENDED TOKENIZER ===                                                                              
     pad: <pad> (id=2)
     eos: <|endoftext|> (id=3)                                                                                                 
     … +39 lines (ctrl+o to expand)                               
                                                                                                                               
● All special tokens are preserved with their original IDs. The tokenizer extension only added new tokens at IDs 16,384+ (after
   the original vocab). The first 16,384 IDs — including all 255 special/control tokens — are untouched:                       
                                                                                                                               
  ┌───────────────────────────────────┬───────────────────┬────────┐
  │               Token               │        ID         │ Status │                                                           
  ├───────────────────────────────────┼───────────────────┼────────┤                                                           
  │ <unk>                             │ 0                 │ Same   │
  ├───────────────────────────────────┼───────────────────┼────────┤                                                           
  │ `<                                │ nospeech          │ >`     │
  ├───────────────────────────────────┼───────────────────┼────────┤
  │ <pad>                             │ 2                 │ Same   │
  ├───────────────────────────────────┼───────────────────┼────────┤                                                           
  │ `<                                │ endoftext         │ >`     │
  ├───────────────────────────────────┼───────────────────┼────────┤                                                           
  │ `<                                │ startoftranscript │ >`     │
  ├───────────────────────────────────┼───────────────────┼────────┤
  │ `<                                │ pnc               │ >`     │
  ├───────────────────────────────────┼───────────────────┼────────┤                                                           
  │ `<                                │ hi                │ >`     │
  ├───────────────────────────────────┼───────────────────┼────────┤                                                           
  │ `<                                │ te                │ >`     │
  ├───────────────────────────────────┼───────────────────┼────────┤
  │ All 251 additional special tokens │ 1-254             │ Same   │
  └───────────────────────────────────┴───────────────────┴────────┘                                                           
   
  The special_tokens_map.json from the original model is correct for the extended tokenizer — no changes needed. The inference 
  agent can use it as-is.