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README.md

@@ -43,8 +43,8 @@ SID-GPT learns to predict SID register states frame-by-frame, essentially learni
 
 | File | Size | Description |
 |------|------|-------------|
-| `sid-gpt.bin` | 98 MB | Exported weights for Zig inference |
-| `ckpt_2000.pt` | 295 MB | PyTorch checkpoint (includes optimizer state) |
+| `sid-gpt-xxxx.bin` | 98 MB | Exported weights for Zig inference |
+| `sid-gpt-xxxx.pt` | 295 MB | PyTorch checkpoint (includes optimizer state) |
 | `config.json` | 1 KB | Model configuration |
 
 ## Usage
@@ -59,20 +59,20 @@ cd SidGPT
 zig build -Doptimize=ReleaseFast
 
 # Download model
-wget https://huggingface.co/M64/sid-gpt-25m/resolve/main/sid-gpt.bin -P models/
+wget https://huggingface.co/M64/sid-gpt-25m/resolve/main/sid-gpt-1700.bin -P models/
 
 # Generate and play
-./zig-out/bin/sidgpt --model models/sid-gpt.bin --frames 700 --temp 0.90 --seed 7391738265 --context 12 | ./zig-out/bin/sidgpt-play
+./zig-out/bin/sidgpt --model models/sid-gpt-1700.bin --frames 700 --temp 0.90 --seed 7391738265 --context 12 | ./zig-out/bin/sidgpt-play
 
 # Or export to WAV
-./zig-out/bin/sidgpt --model models/sid-gpt.bin --frames 700 --temp 0.90 --seed 7391738265 --context 12 --output music.txt
+./zig-out/bin/sidgpt --model models/sid-gpt-1700.bin --frames 700 --temp 0.90 --seed 7391738265 --context 12 --output music.txt
 ./zig-out/bin/sidgpt-play music.txt --output-wav music.wav
 ```
 
 ### Python Inference
 ```bash
 cd training
-python sample_sid.py --checkpoint path/to/ckpt_2000.pt --num_frames 700 --temperature 0.95
+python sample_sid.py --checkpoint path/to/sid-gpt-1700.pt --num_frames 700 --temperature 0.95
 ```
 
 ## Generation Tips

sid-gpt-25M.bin

@@ -1,3 +1,3 @@
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-size 102879549
+oid sha256:78869080aa40801539029401def4f74de2f6ef76c194031f3db340a82e3ff76c
+size 134

sid-gpt-25m-1500.bin

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sid-gpt-25m-1500.pt

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sid-gpt-25m-1600.bin

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sid-gpt-25m-1600.pt

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sid-gpt-25m-1700.bin

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sid-gpt-25m-1700.pt

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sid-gpt-25m-2000.bin

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sid-gpt-25m-2000.pt

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