Llamachat is spouting gibberish

System: Macbook Pro 2019 Installation method: Homebrew Version: ==> llamachat: 1.2.0 (auto_updates)

I downloaded the 7b via bittorrent and imported it into llamachat. I tried saying hello to my new friend, but all I get in return is gibbrerish. How do I debug this issue?

It appears to convert the model without any complaints:

python3 -u /var/folders/tj/hdvn6t_x1lb_27qt5h9xx530000 Loading model file /Users/jblack/Library/Application Loading vocab file /Users/jblack/Library/Application Writing vocab... [ 1/291] Writing tensor tok_embeddings.weight [ 2/291] Writing tensor norm.weight [ 3/291] Writing tensor output.weight [ 4/291] Writing tensor layers.0.attention.wq.weight [ 5/291] Writing tensor layers.0.attention.wk.weight [ 6/291] Writing tensor layers.0.attention.wv.weight [ 7/291] Writing tensor layers.0.attention.wo.weight [ 8/291] Writing tensor layers.0.attention_norm.weight [ 9/291] Writing tensor layers.0.feed_forward.w1.weight [ 10/291] Writing tensor layers.0.feed_forward.w2.weight [ 11/291] Writing tensor layers.0.feed_forward.w3.weight [ 12/291] Writing tensor layers.0.ffn_norm.weight [ 13/291] Writing tensor layers.1.attention.wq.weight [ 14/291] Writing tensor layers.1.attention.wk.weight [ 15/291] Writing tensor layers.1.attention.wv.weight [ 16/291] Writing tensor layers.1.attention.wo.weight [ 17/291] Writing tensor layers.1.attention_norm.weight [ 18/291] Writing tensor layers.1.feed_forward.w1.weight [ 19/291] Writing tensor layers.1.feed_forward.w2.weight [ 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layers.7.feed_forward.w3.weight [ 75/291] Writing tensor layers.7.ffn_norm.weight [ 76/291] Writing tensor layers.8.attention.wq.weight [ 77/291] Writing tensor layers.8.attention.wk.weight [ 78/291] Writing tensor layers.8.attention.wv.weight [ 79/291] Writing tensor layers.8.attention.wo.weight [ 80/291] Writing tensor layers.8.attention_norm.weight [ 81/291] Writing tensor layers.8.feed_forward.w1.weight [ 82/291] Writing tensor layers.8.feed_forward.w2.weight [ 83/291] Writing tensor layers.8.feed_forward.w3.weight [ 84/291] Writing tensor layers.8.ffn_norm.weight [ 85/291] Writing tensor layers.9.attention.wq.weight [ 86/291] Writing tensor layers.9.attention.wk.weight [ 87/291] Writing tensor layers.9.attention.wv.weight [ 88/291] Writing tensor layers.9.attention.wo.weight [ 89/291] Writing tensor layers.9.attention_norm.weight [ 90/291] Writing tensor layers.9.feed_forward.w1.weight [ 91/291] Writing tensor layers.9.feed_forward.w2.weight [ 92/291] Writing tensor layers.9.feed_forward.w3.weight [ 93/291] Writing tensor layers.9.ffn_norm.weight [ 94/291] Writing tensor layers.10.attention.wq.weight [ 95/291] Writing tensor layers.10.attention.wk.weight [ 96/291] Writing tensor layers.10.attention.wv.weight [ 97/291] Writing tensor layers.10.attention.wo.weight [ 98/291] Writing tensor layers.10.attention_norm.weight [ 99/291] Writing tensor layers.10.feed_forward.w1.weight [100/291] Writing tensor layers.10.feed_forward.w2.weight [101/291] Writing tensor layers.10.feed_forward.w3.weight [102/291] Writing tensor layers.10.ffn_norm.weight [103/291] Writing tensor layers.11.attention.wq.weight [104/291] Writing tensor layers.11.attention.wk.weight [105/291] Writing tensor layers.11.attention.wv.weight [106/291] Writing tensor layers.11.attention.wo.weight [107/291] Writing tensor layers.11.attention_norm.weight [108/291] Writing tensor layers.11.feed_forward.w1.weight [109/291] Writing tensor layers.11.feed_forward.w2.weight [110/291] Writing tensor layers.11.feed_forward.w3.weight [111/291] Writing tensor layers.11.ffn_norm.weight [112/291] Writing tensor layers.12.attention.wq.weight [113/291] Writing tensor layers.12.attention.wk.weight [114/291] Writing tensor layers.12.attention.wv.weight [115/291] Writing tensor layers.12.attention.wo.weight [116/291] Writing tensor layers.12.attention_norm.weight [117/291] Writing tensor layers.12.feed_forward.w1.weight [118/291] Writing tensor layers.12.feed_forward.w2.weight [119/291] Writing tensor layers.12.feed_forward.w3.weight [120/291] Writing tensor layers.12.ffn_norm.weight [121/291] Writing tensor layers.13.attention.wq.weight [122/291] Writing tensor layers.13.attention.wk.weight [123/291] Writing tensor layers.13.attention.wv.weight [124/291] Writing tensor layers.13.attention.wo.weight [125/291] Writing tensor layers.13.attention_norm.weight [126/291] Writing tensor layers.13.feed_forward.w1.weight [127/291] Writing tensor layers.13.feed_forward.w2.weight [128/291] 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tensor layers.27.feed_forward.w1.weight [253/291] Writing tensor layers.27.feed_forward.w2.weight [254/291] Writing tensor layers.27.feed_forward.w3.weight [255/291] Writing tensor layers.27.ffn_norm.weight [256/291] Writing tensor layers.28.attention.wq.weight [257/291] Writing tensor layers.28.attention.wk.weight [258/291] Writing tensor layers.28.attention.wv.weight [259/291] Writing tensor layers.28.attention.wo.weight [260/291] Writing tensor layers.28.attention_norm.weight [261/291] Writing tensor layers.28.feed_forward.w1.weight [262/291] Writing tensor layers.28.feed_forward.w2.weight [263/291] Writing tensor layers.28.feed_forward.w3.weight [264/291] Writing tensor layers.28.ffn_norm.weight [265/291] Writing tensor layers.29.attention.wq.weight [266/291] Writing tensor layers.29.attention.wk.weight [267/291] Writing tensor layers.29.attention.wv.weight [268/291] Writing tensor layers.29.attention.wo.weight [269/291] Writing tensor layers.29.attention_norm.weight [270/291] Writing tensor layers.29.feed_forward.w1.weight [271/291] Writing tensor layers.29.feed_forward.w2.weight [272/291] Writing tensor layers.29.feed_forward.w3.weight [273/291] Writing tensor layers.29.ffn_norm.weight [274/291] Writing tensor layers.30.attention.wq.weight [275/291] Writing tensor layers.30.attention.wk.weight [276/291] Writing tensor layers.30.attention.wv.weight [277/291] Writing tensor layers.30.attention.wo.weight [278/291] Writing tensor layers.30.attention_norm.weight [279/291] Writing tensor layers.30.feed_forward.w1.weight [280/291] Writing tensor layers.30.feed_forward.w2.weight [281/291] Writing tensor layers.30.feed_forward.w3.weight [282/291] Writing tensor layers.30.ffn_norm.weight [283/291] Writing tensor layers.31.attention.wq.weight [284/291] Writing tensor layers.31.attention.wk.weight [285/291] Writing tensor layers.31.attention.wv.weight [286/291] Writing tensor layers.31.attention.wo.weight [287/291] Writing tensor layers.31.attention_norm.weight [288/291] Writing tensor layers.31.feed_forward.w1.weight [289/291] Writing tensor layers.31.feed_forward.w2.weight [290/291] Writing tensor layers.31.feed_forward.w3.weight [291/291] Writing tensor layers.31.ffn_norm.weight Wrote /Users/jblack/Library/Application Support/com.al 0gn/T/6A1F66D4-970D-4452-9D5A-F8D5231D098F/convert-pth-to-ggml.py /Users/jblack/Library/Application Support/com.alexrozanski.LlamaChat/models/47EECB0E-23AA-4001-A0F3-9548E6C73A71/7B 1 Support/com.alexrozanski.LlamaChat/models/47EECB0E-23AA-4001-A0F3-9548E6C73A71/7B/consolidated.00.pth Support/com.alexrozanski.LlamaChat/models/47EECB0E-23AA-4001-A0F3-9548E6C73A71/tokenizer.model | size 32000 x 4096 | type UnquantizedDataType(name='F16') | size 4096 | type UnquantizedDataType(name='F32') | size 32000 x 4096 | type UnquantizedDataType(name='F16') | size 4096 x 4096 | type UnquantizedDataType(name='F16') | size 4096 x 4096 | type UnquantizedDataType(name='F16') | size 4096 x 4096 | type UnquantizedDataType(name='F16') | size 4096 x 4096 | type UnquantizedDataType(name='F16') | size 4096 | type UnquantizedDataType(name='F32') | size 11008 x 4096 | type UnquantizedDataType(name='F16') | size 4096 x 11008 | type UnquantizedDataType(name='F16') | size 11008 x 4096 | type UnquantizedDataType(name='F16') | size 4096 | type UnquantizedDataType(name='F32') | size 4096 x 4096 | type UnquantizedDataType(name='F16') | size 4096 x 4096 | type UnquantizedDataType(name='F16') | size 4096 x 4096 | type UnquantizedDataType(name='F16') | size 4096 x 4096 | type UnquantizedDataType(name='F16') | size 4096 | type UnquantizedDataType(name='F32') | size 11008 x 4096 | type UnquantizedDataType(name='F16') | size 4096 x 11008 | type UnquantizedDataType(name='F16') | size 11008 x 4096 | type UnquantizedDataType(name='F16') | size 4096 | type UnquantizedDataType(name='F32') | size 4096 x 4096 | type UnquantizedDataType(name='F16') | size 4096 x 4096 | type UnquantizedDataType(name='F16') | size 4096 x 4096 | type UnquantizedDataType(name='F16') | size 4096 x 4096 | type UnquantizedDataType(name='F16') | size 4096 | type UnquantizedDataType(name='F32') | size 11008 x 4096 | type UnquantizedDataType(name='F16') | size 4096 x 11008 | type UnquantizedDataType(name='F16') | size 11008 x 4096 | type UnquantizedDataType(name='F16') | size 4096 | type UnquantizedDataType(name='F32') | size 4096 x 4096 | type UnquantizedDataType(name='F16') | size 4096 x 4096 | type UnquantizedDataType(name='F16') | size 4096 x 4096 | type UnquantizedDataType(name='F16') | size 4096 x 4096 | type UnquantizedDataType(name='F16') | size 4096 | type UnquantizedDataType(name='F32') | size 11008 x 4096 | type UnquantizedDataType(name='F16') | size 4096 x 11008 | type UnquantizedDataType(name='F16') | size 11008 x 4096 | type UnquantizedDataType(name='F16') | size 4096 | type UnquantizedDataType(name='F32') | size 4096 x 4096 | type UnquantizedDataType(name='F16') | size 4096 x 4096 | type UnquantizedDataType(name='F16') | size 4096 x 4096 | type UnquantizedDataType(name='F16') | size 4096 x 4096 | type UnquantizedDataType(name='F16') | size 4096 | type UnquantizedDataType(name='F32') | size 11008 x 4096 | type UnquantizedDataType(name='F16') | size 4096 x 11008 | type UnquantizedDataType(name='F16') | size 11008 x 4096 | type UnquantizedDataType(name='F16') | size 4096 | type UnquantizedDataType(name='F32') | size 4096 x 4096 | type UnquantizedDataType(name='F16') | size 4096 x 4096 | type UnquantizedDataType(name='F16') | size 4096 x 4096 | type UnquantizedDataType(name='F16') | size 4096 x 4096 | type UnquantizedDataType(name='F16') | size 4096 | type UnquantizedDataType(name='F32') | size 11008 x 4096 | type UnquantizedDataType(name='F16') | size 4096 x 11008 | type UnquantizedDataType(name='F16') | size 11008 x 4096 | type UnquantizedDataType(name='F16') | size 4096 | type UnquantizedDataType(name='F32') | size 4096 x 4096 | type UnquantizedDataType(name='F16') | size 4096 x 4096 | type UnquantizedDataType(name='F16') | size 4096 x 4096 | type UnquantizedDataType(name='F16') | size 4096 x 4096 | type UnquantizedDataType(name='F16') | size 4096 | type UnquantizedDataType(name='F32') | size 11008 x 4096 | type UnquantizedDataType(name='F16') | size 4096 x 11008 | type UnquantizedDataType(name='F16') | size 11008 x 4096 | type UnquantizedDataType(name='F16') | size 4096 | type UnquantizedDataType(name='F32') | size 4096 x 4096 | type UnquantizedDataType(name='F16') | size 4096 x 4096 | type UnquantizedDataType(name='F16') | size 4096 x 4096 | type UnquantizedDataType(name='F16') | size 4096 x 4096 | type UnquantizedDataType(name='F16') | size 4096 | type UnquantizedDataType(name='F32') | size 11008 x 4096 | type UnquantizedDataType(name='F16') | size 4096 x 11008 | type UnquantizedDataType(name='F16') | size 11008 x 4096 | type UnquantizedDataType(name='F16') | size 4096 | type UnquantizedDataType(name='F32') | size 4096 x 4096 | type UnquantizedDataType(name='F16') | size 4096 x 4096 | type UnquantizedDataType(name='F16') | size 4096 x 4096 | type UnquantizedDataType(name='F16') | size 4096 x 4096 | type UnquantizedDataType(name='F16') | size 4096 | type UnquantizedDataType(name='F32') | size 11008 x 4096 | type UnquantizedDataType(name='F16') | size 4096 x 11008 | type UnquantizedDataType(name='F16') | size 11008 x 4096 | type UnquantizedDataType(name='F16') | size 4096 | type UnquantizedDataType(name='F32') | size 4096 x 4096 | type UnquantizedDataType(name='F16') | size 4096 x 4096 | type UnquantizedDataType(name='F16') | size 4096 x 4096 | type UnquantizedDataType(name='F16') | size 4096 x 4096 | type UnquantizedDataType(name='F16') | size 4096 | type UnquantizedDataType(name='F32') | size 11008 x 4096 | type UnquantizedDataType(name='F16') | size 4096 x 11008 | type UnquantizedDataType(name='F16') | size 11008 x 4096 | type UnquantizedDataType(name='F16') | size 4096 | type UnquantizedDataType(name='F32') | size 4096 x 4096 | type UnquantizedDataType(name='F16') | size 4096 x 4096 | type UnquantizedDataType(name='F16') | size 4096 x 4096 | type UnquantizedDataType(name='F16') | size 4096 x 4096 | type UnquantizedDataType(name='F16') | size 4096 | type UnquantizedDataType(name='F32') | size 11008 x 4096 | type UnquantizedDataType(name='F16') | size 4096 x 11008 | type UnquantizedDataType(name='F16') | size 11008 x 4096 | type UnquantizedDataType(name='F16') | size 4096 | type UnquantizedDataType(name='F32') | size 4096 x 4096 | type UnquantizedDataType(name='F16') | size 4096 x 4096 | type UnquantizedDataType(name='F16') | size 4096 x 4096 | type UnquantizedDataType(name='F16') | size 4096 x 4096 | type UnquantizedDataType(name='F16') | size 4096 | type UnquantizedDataType(name='F32') | size 11008 x 4096 | type UnquantizedDataType(name='F16') | size 4096 x 11008 | type UnquantizedDataType(name='F16') | size 11008 x 4096 | type UnquantizedDataType(name='F16') | size 4096 | type 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size 4096 x 11008 | type UnquantizedDataType(name='F16') | size 11008 x 4096 | type UnquantizedDataType(name='F16') | size 4096 | type UnquantizedDataType(name='F32') | size 4096 x 4096 | type UnquantizedDataType(name='F16') | size 4096 x 4096 | type UnquantizedDataType(name='F16') | size 4096 x 4096 | type UnquantizedDataType(name='F16') | size 4096 x 4096 | type UnquantizedDataType(name='F16') | size 4096 | type UnquantizedDataType(name='F32') | size 11008 x 4096 | type UnquantizedDataType(name='F16') | size 4096 x 11008 | type UnquantizedDataType(name='F16') | size 11008 x 4096 | type UnquantizedDataType(name='F16') | size 4096 | type UnquantizedDataType(name='F32') | size 4096 x 4096 | type UnquantizedDataType(name='F16') | size 4096 x 4096 | type UnquantizedDataType(name='F16') | size 4096 x 4096 | type UnquantizedDataType(name='F16') | size 4096 x 4096 | type UnquantizedDataType(name='F16') | size 4096 | type UnquantizedDataType(name='F32') | size 11008 x 4096 | type 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size 11008 x 4096 | type UnquantizedDataType(name='F16') | size 4096 x 11008 | type UnquantizedDataType(name='F16') | size 11008 x 4096 | type UnquantizedDataType(name='F16') | size 4096 | type UnquantizedDataType(name='F32') | size 4096 x 4096 | type UnquantizedDataType(name='F16') | size 4096 x 4096 | type UnquantizedDataType(name='F16') | size 4096 x 4096 | type UnquantizedDataType(name='F16') | size 4096 x 4096 | type UnquantizedDataType(name='F16') | size 4096 | type UnquantizedDataType(name='F32') | size 11008 x 4096 | type UnquantizedDataType(name='F16') | size 4096 x 11008 | type UnquantizedDataType(name='F16') | size 11008 x 4096 | type UnquantizedDataType(name='F16') | size 4096 | type UnquantizedDataType(name='F32') | size 4096 x 4096 | type UnquantizedDataType(name='F16') | size 4096 x 4096 | type UnquantizedDataType(name='F16') | size 4096 x 4096 | type UnquantizedDataType(name='F16') | size 4096 x 4096 | type UnquantizedDataType(name='F16') | size 4096 | type 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UnquantizedDataType(name='F16') | size 4096 | type UnquantizedDataType(name='F32') | size 11008 x 4096 | type UnquantizedDataType(name='F16') | size 4096 x 11008 | type UnquantizedDataType(name='F16') | size 11008 x 4096 | type UnquantizedDataType(name='F16') | size 4096 | type UnquantizedDataType(name='F32') | size 4096 x 4096 | type UnquantizedDataType(name='F16') | size 4096 x 4096 | type UnquantizedDataType(name='F16') | size 4096 x 4096 | type UnquantizedDataType(name='F16') | size 4096 x 4096 | type UnquantizedDataType(name='F16') | size 4096 | type UnquantizedDataType(name='F32') | size 11008 x 4096 | type UnquantizedDataType(name='F16') | size 4096 x 11008 | type UnquantizedDataType(name='F16') | size 11008 x 4096 | type UnquantizedDataType(name='F16') | size 4096 | type UnquantizedDataType(name='F32') | size 4096 x 4096 | type UnquantizedDataType(name='F16') | size 4096 x 4096 | type UnquantizedDataType(name='F16') | size 4096 x 4096 | type UnquantizedDataType(name='F16') | size 4096 x 4096 | type UnquantizedDataType(name='F16') | size 4096 | type UnquantizedDataType(name='F32') | size 11008 x 4096 | type UnquantizedDataType(name='F16') | size 4096 x 11008 | type UnquantizedDataType(name='F16') | size 11008 x 4096 | type UnquantizedDataType(name='F16') | size 4096 | type UnquantizedDataType(name='F32') | size 4096 x 4096 | type UnquantizedDataType(name='F16') | size 4096 x 4096 | type UnquantizedDataType(name='F16') | size 4096 x 4096 | type UnquantizedDataType(name='F16') | size 4096 x 4096 | type UnquantizedDataType(name='F16') | size 4096 | type UnquantizedDataType(name='F32') | size 11008 x 4096 | type UnquantizedDataType(name='F16') | size 4096 x 11008 | type UnquantizedDataType(name='F16') | size 11008 x 4096 | type UnquantizedDataType(name='F16') | size 4096 | type UnquantizedDataType(name='F32') | size 4096 x 4096 | type UnquantizedDataType(name='F16') | size 4096 x 4096 | type UnquantizedDataType(name='F16') | size 4096 x 4096 | type UnquantizedDataType(name='F16') | size 4096 x 4096 | type UnquantizedDataType(name='F16') | size 4096 | type UnquantizedDataType(name='F32') | size 11008 x 4096 | type UnquantizedDataType(name='F16') | size 4096 x 11008 | type UnquantizedDataType(name='F16') | size 11008 x 4096 | type UnquantizedDataType(name='F16') | size 4096 | type UnquantizedDataType(name='F32') exrozanski.LlamaChat/models/47EECB0E-23AA-4001-A0F3-9548E6C73A71/7B/ggml-model-f16.bin

test -f /Users/jblack/Library/Application Support/com.alexrozanski.LlamaChat/models/47EECB0E-23AA-4001-A0F3-9548E6C73A71/7B/ggml-model-f16.bin

alexrozanski / LlamaChat

Llamachat is spouting gibberish #45