Closed
Description
Prerequisites
Running a newly converted + quantized GGUF version of falcon 7b instruct results in an assertion being fired:
./main -m ./ggml-tiiuae-falcon-7b-Q4_0.gguf -ngl 1 -p "hello"
...
GGML_ASSERT: ggml-metal.m:932: n % 4 == 0
...
Full logs:
./main -m ./ggml-tiiuae-falcon-7b-Q4_0.gguf -ngl 1 -p "hello"
Log start
main: build = 1419 (e393259)
main: built with Apple clang version 15.0.0 (clang-1500.0.40.1) for arm64-apple-darwin23.0.0
main: seed = 1698109603
llama_model_loader: loaded meta data with 18 key-value pairs and 196 tensors from ./ggml-tiiuae-falcon-7b-Q4_0.gguf (version GGUF V2 (latest))
llama_model_loader: - tensor 0: token_embd.weight q4_0 [ 4544, 65024, 1, 1 ]
llama_model_loader: - tensor 1: blk.0.attn_norm.weight f32 [ 4544, 1, 1, 1 ]
llama_model_loader: - tensor 2: blk.0.attn_norm.bias f32 [ 4544, 1, 1, 1 ]
llama_model_loader: - tensor 3: blk.0.attn_qkv.weight q4_0 [ 4544, 4672, 1, 1 ]
llama_model_loader: - tensor 4: blk.0.attn_output.weight q4_0 [ 4544, 4544, 1, 1 ]
llama_model_loader: - tensor 5: blk.0.ffn_up.weight q4_0 [ 4544, 18176, 1, 1 ]
llama_model_loader: - tensor 6: blk.0.ffn_down.weight q4_0 [ 18176, 4544, 1, 1 ]
llama_model_loader: - tensor 7: blk.1.attn_norm.weight f32 [ 4544, 1, 1, 1 ]
llama_model_loader: - tensor 8: blk.1.attn_norm.bias f32 [ 4544, 1, 1, 1 ]
llama_model_loader: - tensor 9: blk.1.attn_qkv.weight q4_0 [ 4544, 4672, 1, 1 ]
llama_model_loader: - tensor 10: blk.1.attn_output.weight q4_0 [ 4544, 4544, 1, 1 ]
llama_model_loader: - tensor 11: blk.1.ffn_up.weight q4_0 [ 4544, 18176, 1, 1 ]
llama_model_loader: - tensor 12: blk.1.ffn_down.weight q4_0 [ 18176, 4544, 1, 1 ]
llama_model_loader: - tensor 13: blk.2.attn_norm.weight f32 [ 4544, 1, 1, 1 ]
llama_model_loader: - tensor 14: blk.2.attn_norm.bias f32 [ 4544, 1, 1, 1 ]
llama_model_loader: - tensor 15: blk.2.attn_qkv.weight q4_0 [ 4544, 4672, 1, 1 ]
llama_model_loader: - tensor 16: blk.2.attn_output.weight q4_0 [ 4544, 4544, 1, 1 ]
llama_model_loader: - tensor 17: blk.2.ffn_up.weight q4_0 [ 4544, 18176, 1, 1 ]
llama_model_loader: - tensor 18: blk.2.ffn_down.weight q4_0 [ 18176, 4544, 1, 1 ]
llama_model_loader: - tensor 19: blk.3.attn_norm.weight f32 [ 4544, 1, 1, 1 ]
llama_model_loader: - tensor 20: blk.3.attn_norm.bias f32 [ 4544, 1, 1, 1 ]
llama_model_loader: - tensor 21: blk.3.attn_qkv.weight q4_0 [ 4544, 4672, 1, 1 ]
llama_model_loader: - tensor 22: blk.3.attn_output.weight q4_0 [ 4544, 4544, 1, 1 ]
llama_model_loader: - tensor 23: blk.3.ffn_up.weight q4_0 [ 4544, 18176, 1, 1 ]
llama_model_loader: - tensor 24: blk.3.ffn_down.weight q4_0 [ 18176, 4544, 1, 1 ]
llama_model_loader: - tensor 25: blk.4.attn_norm.weight f32 [ 4544, 1, 1, 1 ]
llama_model_loader: - tensor 26: blk.4.attn_norm.bias f32 [ 4544, 1, 1, 1 ]
llama_model_loader: - tensor 27: blk.4.attn_qkv.weight q4_0 [ 4544, 4672, 1, 1 ]
llama_model_loader: - tensor 28: blk.4.attn_output.weight q4_0 [ 4544, 4544, 1, 1 ]
llama_model_loader: - tensor 29: blk.4.ffn_up.weight q4_0 [ 4544, 18176, 1, 1 ]
llama_model_loader: - tensor 30: blk.4.ffn_down.weight q4_0 [ 18176, 4544, 1, 1 ]
llama_model_loader: - tensor 31: blk.5.attn_norm.weight f32 [ 4544, 1, 1, 1 ]
llama_model_loader: - tensor 32: blk.5.attn_norm.bias f32 [ 4544, 1, 1, 1 ]
llama_model_loader: - tensor 33: blk.5.attn_qkv.weight q4_0 [ 4544, 4672, 1, 1 ]
llama_model_loader: - tensor 34: blk.5.attn_output.weight q4_0 [ 4544, 4544, 1, 1 ]
llama_model_loader: - tensor 35: blk.5.ffn_up.weight q4_0 [ 4544, 18176, 1, 1 ]
llama_model_loader: - tensor 36: blk.5.ffn_down.weight q4_0 [ 18176, 4544, 1, 1 ]
llama_model_loader: - tensor 37: blk.6.attn_norm.weight f32 [ 4544, 1, 1, 1 ]
llama_model_loader: - tensor 38: blk.6.attn_norm.bias f32 [ 4544, 1, 1, 1 ]
llama_model_loader: - tensor 39: blk.6.attn_qkv.weight q4_0 [ 4544, 4672, 1, 1 ]
llama_model_loader: - tensor 40: blk.6.attn_output.weight q4_0 [ 4544, 4544, 1, 1 ]
llama_model_loader: - tensor 41: blk.6.ffn_up.weight q4_0 [ 4544, 18176, 1, 1 ]
llama_model_loader: - tensor 42: blk.6.ffn_down.weight q4_0 [ 18176, 4544, 1, 1 ]
llama_model_loader: - tensor 43: blk.7.attn_norm.weight f32 [ 4544, 1, 1, 1 ]
llama_model_loader: - tensor 44: blk.7.attn_norm.bias f32 [ 4544, 1, 1, 1 ]
llama_model_loader: - tensor 45: blk.7.attn_qkv.weight q4_0 [ 4544, 4672, 1, 1 ]
llama_model_loader: - tensor 46: blk.7.attn_output.weight q4_0 [ 4544, 4544, 1, 1 ]
llama_model_loader: - tensor 47: blk.7.ffn_up.weight q4_0 [ 4544, 18176, 1, 1 ]
llama_model_loader: - tensor 48: blk.7.ffn_down.weight q4_0 [ 18176, 4544, 1, 1 ]
llama_model_loader: - tensor 49: blk.8.attn_norm.weight f32 [ 4544, 1, 1, 1 ]
llama_model_loader: - tensor 50: blk.8.attn_norm.bias f32 [ 4544, 1, 1, 1 ]
llama_model_loader: - tensor 51: blk.8.attn_qkv.weight q4_0 [ 4544, 4672, 1, 1 ]
llama_model_loader: - tensor 52: blk.8.attn_output.weight q4_0 [ 4544, 4544, 1, 1 ]
llama_model_loader: - tensor 53: blk.8.ffn_up.weight q4_0 [ 4544, 18176, 1, 1 ]
llama_model_loader: - tensor 54: blk.8.ffn_down.weight q4_0 [ 18176, 4544, 1, 1 ]
llama_model_loader: - tensor 55: blk.9.attn_norm.weight f32 [ 4544, 1, 1, 1 ]
llama_model_loader: - tensor 56: blk.9.attn_norm.bias f32 [ 4544, 1, 1, 1 ]
llama_model_loader: - tensor 57: blk.9.attn_qkv.weight q4_0 [ 4544, 4672, 1, 1 ]
llama_model_loader: - tensor 58: blk.9.attn_output.weight q4_0 [ 4544, 4544, 1, 1 ]
llama_model_loader: - tensor 59: blk.9.ffn_up.weight q4_0 [ 4544, 18176, 1, 1 ]
llama_model_loader: - tensor 60: blk.9.ffn_down.weight q4_0 [ 18176, 4544, 1, 1 ]
llama_model_loader: - tensor 61: blk.10.attn_norm.weight f32 [ 4544, 1, 1, 1 ]
llama_model_loader: - tensor 62: blk.10.attn_norm.bias f32 [ 4544, 1, 1, 1 ]
llama_model_loader: - tensor 63: blk.10.attn_qkv.weight q4_0 [ 4544, 4672, 1, 1 ]
llama_model_loader: - tensor 64: blk.10.attn_output.weight q4_0 [ 4544, 4544, 1, 1 ]
llama_model_loader: - tensor 65: blk.10.ffn_up.weight q4_0 [ 4544, 18176, 1, 1 ]
llama_model_loader: - tensor 66: blk.10.ffn_down.weight q4_0 [ 18176, 4544, 1, 1 ]
llama_model_loader: - tensor 67: blk.11.attn_norm.weight f32 [ 4544, 1, 1, 1 ]
llama_model_loader: - tensor 68: blk.11.attn_norm.bias f32 [ 4544, 1, 1, 1 ]
llama_model_loader: - tensor 69: blk.11.attn_qkv.weight q4_0 [ 4544, 4672, 1, 1 ]
llama_model_loader: - tensor 70: blk.11.attn_output.weight q4_0 [ 4544, 4544, 1, 1 ]
llama_model_loader: - tensor 71: blk.11.ffn_up.weight q4_0 [ 4544, 18176, 1, 1 ]
llama_model_loader: - tensor 72: blk.11.ffn_down.weight q4_0 [ 18176, 4544, 1, 1 ]
llama_model_loader: - tensor 73: blk.12.attn_norm.weight f32 [ 4544, 1, 1, 1 ]
llama_model_loader: - tensor 74: blk.12.attn_norm.bias f32 [ 4544, 1, 1, 1 ]
llama_model_loader: - tensor 75: blk.12.attn_qkv.weight q4_0 [ 4544, 4672, 1, 1 ]
llama_model_loader: - tensor 76: blk.12.attn_output.weight q4_0 [ 4544, 4544, 1, 1 ]
llama_model_loader: - tensor 77: blk.12.ffn_up.weight q4_0 [ 4544, 18176, 1, 1 ]
llama_model_loader: - tensor 78: blk.12.ffn_down.weight q4_0 [ 18176, 4544, 1, 1 ]
llama_model_loader: - tensor 79: blk.13.attn_norm.weight f32 [ 4544, 1, 1, 1 ]
llama_model_loader: - tensor 80: blk.13.attn_norm.bias f32 [ 4544, 1, 1, 1 ]
llama_model_loader: - tensor 81: blk.13.attn_qkv.weight q4_0 [ 4544, 4672, 1, 1 ]
llama_model_loader: - tensor 82: blk.13.attn_output.weight q4_0 [ 4544, 4544, 1, 1 ]
llama_model_loader: - tensor 83: blk.13.ffn_up.weight q4_0 [ 4544, 18176, 1, 1 ]
llama_model_loader: - tensor 84: blk.13.ffn_down.weight q4_0 [ 18176, 4544, 1, 1 ]
llama_model_loader: - tensor 85: blk.14.attn_norm.weight f32 [ 4544, 1, 1, 1 ]
llama_model_loader: - tensor 86: blk.14.attn_norm.bias f32 [ 4544, 1, 1, 1 ]
llama_model_loader: - tensor 87: blk.14.attn_qkv.weight q4_0 [ 4544, 4672, 1, 1 ]
llama_model_loader: - tensor 88: blk.14.attn_output.weight q4_0 [ 4544, 4544, 1, 1 ]
llama_model_loader: - tensor 89: blk.14.ffn_up.weight q4_0 [ 4544, 18176, 1, 1 ]
llama_model_loader: - tensor 90: blk.14.ffn_down.weight q4_0 [ 18176, 4544, 1, 1 ]
llama_model_loader: - tensor 91: blk.15.attn_norm.weight f32 [ 4544, 1, 1, 1 ]
llama_model_loader: - tensor 92: blk.15.attn_norm.bias f32 [ 4544, 1, 1, 1 ]
llama_model_loader: - tensor 93: blk.15.attn_qkv.weight q4_0 [ 4544, 4672, 1, 1 ]
llama_model_loader: - tensor 94: blk.15.attn_output.weight q4_0 [ 4544, 4544, 1, 1 ]
llama_model_loader: - tensor 95: blk.15.ffn_up.weight q4_0 [ 4544, 18176, 1, 1 ]
llama_model_loader: - tensor 96: blk.15.ffn_down.weight q4_0 [ 18176, 4544, 1, 1 ]
llama_model_loader: - tensor 97: blk.16.attn_norm.weight f32 [ 4544, 1, 1, 1 ]
llama_model_loader: - tensor 98: blk.16.attn_norm.bias f32 [ 4544, 1, 1, 1 ]
llama_model_loader: - tensor 99: blk.16.attn_qkv.weight q4_0 [ 4544, 4672, 1, 1 ]
llama_model_loader: - tensor 100: blk.16.attn_output.weight q4_0 [ 4544, 4544, 1, 1 ]
llama_model_loader: - tensor 101: blk.16.ffn_up.weight q4_0 [ 4544, 18176, 1, 1 ]
llama_model_loader: - tensor 102: blk.16.ffn_down.weight q4_0 [ 18176, 4544, 1, 1 ]
llama_model_loader: - tensor 103: blk.17.attn_norm.weight f32 [ 4544, 1, 1, 1 ]
llama_model_loader: - tensor 104: blk.17.attn_norm.bias f32 [ 4544, 1, 1, 1 ]
llama_model_loader: - tensor 105: blk.17.attn_qkv.weight q4_0 [ 4544, 4672, 1, 1 ]
llama_model_loader: - tensor 106: blk.17.attn_output.weight q4_0 [ 4544, 4544, 1, 1 ]
llama_model_loader: - tensor 107: blk.17.ffn_up.weight q4_0 [ 4544, 18176, 1, 1 ]
llama_model_loader: - tensor 108: blk.17.ffn_down.weight q4_0 [ 18176, 4544, 1, 1 ]
llama_model_loader: - tensor 109: blk.18.attn_norm.weight f32 [ 4544, 1, 1, 1 ]
llama_model_loader: - tensor 110: blk.18.attn_norm.bias f32 [ 4544, 1, 1, 1 ]
llama_model_loader: - tensor 111: blk.18.attn_qkv.weight q4_0 [ 4544, 4672, 1, 1 ]
llama_model_loader: - tensor 112: blk.18.attn_output.weight q4_0 [ 4544, 4544, 1, 1 ]
llama_model_loader: - tensor 113: blk.18.ffn_up.weight q4_0 [ 4544, 18176, 1, 1 ]
llama_model_loader: - tensor 114: blk.18.ffn_down.weight q4_0 [ 18176, 4544, 1, 1 ]
llama_model_loader: - tensor 115: blk.19.attn_norm.weight f32 [ 4544, 1, 1, 1 ]
llama_model_loader: - tensor 116: blk.19.attn_norm.bias f32 [ 4544, 1, 1, 1 ]
llama_model_loader: - tensor 117: blk.19.attn_qkv.weight q4_0 [ 4544, 4672, 1, 1 ]
llama_model_loader: - tensor 118: blk.19.attn_output.weight q4_0 [ 4544, 4544, 1, 1 ]
llama_model_loader: - tensor 119: blk.19.ffn_up.weight q4_0 [ 4544, 18176, 1, 1 ]
llama_model_loader: - tensor 120: blk.19.ffn_down.weight q4_0 [ 18176, 4544, 1, 1 ]
llama_model_loader: - tensor 121: blk.20.attn_norm.weight f32 [ 4544, 1, 1, 1 ]
llama_model_loader: - tensor 122: blk.20.attn_norm.bias f32 [ 4544, 1, 1, 1 ]
llama_model_loader: - tensor 123: blk.20.attn_qkv.weight q4_0 [ 4544, 4672, 1, 1 ]
llama_model_loader: - tensor 124: blk.20.attn_output.weight q4_0 [ 4544, 4544, 1, 1 ]
llama_model_loader: - tensor 125: blk.20.ffn_up.weight q4_0 [ 4544, 18176, 1, 1 ]
llama_model_loader: - tensor 126: blk.20.ffn_down.weight q4_0 [ 18176, 4544, 1, 1 ]
llama_model_loader: - tensor 127: blk.21.attn_norm.weight f32 [ 4544, 1, 1, 1 ]
llama_model_loader: - tensor 128: blk.21.attn_norm.bias f32 [ 4544, 1, 1, 1 ]
llama_model_loader: - tensor 129: blk.21.attn_qkv.weight q4_0 [ 4544, 4672, 1, 1 ]
llama_model_loader: - tensor 130: blk.21.attn_output.weight q4_0 [ 4544, 4544, 1, 1 ]
llama_model_loader: - tensor 131: blk.21.ffn_up.weight q4_0 [ 4544, 18176, 1, 1 ]
llama_model_loader: - tensor 132: blk.21.ffn_down.weight q4_0 [ 18176, 4544, 1, 1 ]
llama_model_loader: - tensor 133: blk.22.attn_norm.weight f32 [ 4544, 1, 1, 1 ]
llama_model_loader: - tensor 134: blk.22.attn_norm.bias f32 [ 4544, 1, 1, 1 ]
llama_model_loader: - tensor 135: blk.22.attn_qkv.weight q4_0 [ 4544, 4672, 1, 1 ]
llama_model_loader: - tensor 136: blk.22.attn_output.weight q4_0 [ 4544, 4544, 1, 1 ]
llama_model_loader: - tensor 137: blk.22.ffn_up.weight q4_0 [ 4544, 18176, 1, 1 ]
llama_model_loader: - tensor 138: blk.22.ffn_down.weight q4_0 [ 18176, 4544, 1, 1 ]
llama_model_loader: - tensor 139: blk.23.attn_norm.weight f32 [ 4544, 1, 1, 1 ]
llama_model_loader: - tensor 140: blk.23.attn_norm.bias f32 [ 4544, 1, 1, 1 ]
llama_model_loader: - tensor 141: blk.23.attn_qkv.weight q4_0 [ 4544, 4672, 1, 1 ]
llama_model_loader: - tensor 142: blk.23.attn_output.weight q4_0 [ 4544, 4544, 1, 1 ]
llama_model_loader: - tensor 143: blk.23.ffn_up.weight q4_0 [ 4544, 18176, 1, 1 ]
llama_model_loader: - tensor 144: blk.23.ffn_down.weight q4_0 [ 18176, 4544, 1, 1 ]
llama_model_loader: - tensor 145: blk.24.attn_norm.weight f32 [ 4544, 1, 1, 1 ]
llama_model_loader: - tensor 146: blk.24.attn_norm.bias f32 [ 4544, 1, 1, 1 ]
llama_model_loader: - tensor 147: blk.24.attn_qkv.weight q4_0 [ 4544, 4672, 1, 1 ]
llama_model_loader: - tensor 148: blk.24.attn_output.weight q4_0 [ 4544, 4544, 1, 1 ]
llama_model_loader: - tensor 149: blk.24.ffn_up.weight q4_0 [ 4544, 18176, 1, 1 ]
llama_model_loader: - tensor 150: blk.24.ffn_down.weight q4_0 [ 18176, 4544, 1, 1 ]
llama_model_loader: - tensor 151: blk.25.attn_norm.weight f32 [ 4544, 1, 1, 1 ]
llama_model_loader: - tensor 152: blk.25.attn_norm.bias f32 [ 4544, 1, 1, 1 ]
llama_model_loader: - tensor 153: blk.25.attn_qkv.weight q4_0 [ 4544, 4672, 1, 1 ]
llama_model_loader: - tensor 154: blk.25.attn_output.weight q4_0 [ 4544, 4544, 1, 1 ]
llama_model_loader: - tensor 155: blk.25.ffn_up.weight q4_0 [ 4544, 18176, 1, 1 ]
llama_model_loader: - tensor 156: blk.25.ffn_down.weight q4_0 [ 18176, 4544, 1, 1 ]
llama_model_loader: - tensor 157: blk.26.attn_norm.weight f32 [ 4544, 1, 1, 1 ]
llama_model_loader: - tensor 158: blk.26.attn_norm.bias f32 [ 4544, 1, 1, 1 ]
llama_model_loader: - tensor 159: blk.26.attn_qkv.weight q4_0 [ 4544, 4672, 1, 1 ]
llama_model_loader: - tensor 160: blk.26.attn_output.weight q4_0 [ 4544, 4544, 1, 1 ]
llama_model_loader: - tensor 161: blk.26.ffn_up.weight q4_0 [ 4544, 18176, 1, 1 ]
llama_model_loader: - tensor 162: blk.26.ffn_down.weight q4_0 [ 18176, 4544, 1, 1 ]
llama_model_loader: - tensor 163: blk.27.attn_norm.weight f32 [ 4544, 1, 1, 1 ]
llama_model_loader: - tensor 164: blk.27.attn_norm.bias f32 [ 4544, 1, 1, 1 ]
llama_model_loader: - tensor 165: blk.27.attn_qkv.weight q4_0 [ 4544, 4672, 1, 1 ]
llama_model_loader: - tensor 166: blk.27.attn_output.weight q4_0 [ 4544, 4544, 1, 1 ]
llama_model_loader: - tensor 167: blk.27.ffn_up.weight q4_0 [ 4544, 18176, 1, 1 ]
llama_model_loader: - tensor 168: blk.27.ffn_down.weight q4_0 [ 18176, 4544, 1, 1 ]
llama_model_loader: - tensor 169: blk.28.attn_norm.weight f32 [ 4544, 1, 1, 1 ]
llama_model_loader: - tensor 170: blk.28.attn_norm.bias f32 [ 4544, 1, 1, 1 ]
llama_model_loader: - tensor 171: blk.28.attn_qkv.weight q4_0 [ 4544, 4672, 1, 1 ]
llama_model_loader: - tensor 172: blk.28.attn_output.weight q4_0 [ 4544, 4544, 1, 1 ]
llama_model_loader: - tensor 173: blk.28.ffn_up.weight q4_0 [ 4544, 18176, 1, 1 ]
llama_model_loader: - tensor 174: blk.28.ffn_down.weight q4_0 [ 18176, 4544, 1, 1 ]
llama_model_loader: - tensor 175: blk.29.attn_norm.weight f32 [ 4544, 1, 1, 1 ]
llama_model_loader: - tensor 176: blk.29.attn_norm.bias f32 [ 4544, 1, 1, 1 ]
llama_model_loader: - tensor 177: blk.29.attn_qkv.weight q4_0 [ 4544, 4672, 1, 1 ]
llama_model_loader: - tensor 178: blk.29.attn_output.weight q4_0 [ 4544, 4544, 1, 1 ]
llama_model_loader: - tensor 179: blk.29.ffn_up.weight q4_0 [ 4544, 18176, 1, 1 ]
llama_model_loader: - tensor 180: blk.29.ffn_down.weight q4_0 [ 18176, 4544, 1, 1 ]
llama_model_loader: - tensor 181: blk.30.attn_norm.weight f32 [ 4544, 1, 1, 1 ]
llama_model_loader: - tensor 182: blk.30.attn_norm.bias f32 [ 4544, 1, 1, 1 ]
llama_model_loader: - tensor 183: blk.30.attn_qkv.weight q4_0 [ 4544, 4672, 1, 1 ]
llama_model_loader: - tensor 184: blk.30.attn_output.weight q4_0 [ 4544, 4544, 1, 1 ]
llama_model_loader: - tensor 185: blk.30.ffn_up.weight q4_0 [ 4544, 18176, 1, 1 ]
llama_model_loader: - tensor 186: blk.30.ffn_down.weight q4_0 [ 18176, 4544, 1, 1 ]
llama_model_loader: - tensor 187: blk.31.attn_norm.weight f32 [ 4544, 1, 1, 1 ]
llama_model_loader: - tensor 188: blk.31.attn_norm.bias f32 [ 4544, 1, 1, 1 ]
llama_model_loader: - tensor 189: blk.31.attn_qkv.weight q4_0 [ 4544, 4672, 1, 1 ]
llama_model_loader: - tensor 190: blk.31.attn_output.weight q4_0 [ 4544, 4544, 1, 1 ]
llama_model_loader: - tensor 191: blk.31.ffn_up.weight q4_0 [ 4544, 18176, 1, 1 ]
llama_model_loader: - tensor 192: blk.31.ffn_down.weight q4_0 [ 18176, 4544, 1, 1 ]
llama_model_loader: - tensor 193: output_norm.weight f32 [ 4544, 1, 1, 1 ]
llama_model_loader: - tensor 194: output_norm.bias f32 [ 4544, 1, 1, 1 ]
llama_model_loader: - tensor 195: output.weight q8_0 [ 4544, 65024, 1, 1 ]
llama_model_loader: - kv 0: general.architecture str
llama_model_loader: - kv 1: general.name str
llama_model_loader: - kv 2: falcon.context_length u32
llama_model_loader: - kv 3: falcon.tensor_data_layout str
llama_model_loader: - kv 4: falcon.embedding_length u32
llama_model_loader: - kv 5: falcon.feed_forward_length u32
llama_model_loader: - kv 6: falcon.block_count u32
llama_model_loader: - kv 7: falcon.attention.head_count u32
llama_model_loader: - kv 8: falcon.attention.head_count_kv u32
llama_model_loader: - kv 9: falcon.attention.layer_norm_epsilon f32
llama_model_loader: - kv 10: general.file_type u32
llama_model_loader: - kv 11: tokenizer.ggml.model str
llama_model_loader: - kv 12: tokenizer.ggml.tokens arr
llama_model_loader: - kv 13: tokenizer.ggml.scores arr
llama_model_loader: - kv 14: tokenizer.ggml.token_type arr
llama_model_loader: - kv 15: tokenizer.ggml.merges arr
llama_model_loader: - kv 16: tokenizer.ggml.eos_token_id u32
llama_model_loader: - kv 17: general.quantization_version u32
llama_model_loader: - type f32: 66 tensors
llama_model_loader: - type q4_0: 129 tensors
llama_model_loader: - type q8_0: 1 tensors
llm_load_vocab: mismatch in special tokens definition ( 12/65024 vs 0/65024 ).
llm_load_print_meta: format = GGUF V2 (latest)
llm_load_print_meta: arch = falcon
llm_load_print_meta: vocab type = BPE
llm_load_print_meta: n_vocab = 65024
llm_load_print_meta: n_merges = 64784
llm_load_print_meta: n_ctx_train = 2048
llm_load_print_meta: n_embd = 4544
llm_load_print_meta: n_head = 71
llm_load_print_meta: n_head_kv = 1
llm_load_print_meta: n_layer = 32
llm_load_print_meta: n_rot = 64
llm_load_print_meta: n_gqa = 71
llm_load_print_meta: f_norm_eps = 1.0e-05
llm_load_print_meta: f_norm_rms_eps = 0.0e+00
llm_load_print_meta: f_clamp_kqv = 0.0e+00
llm_load_print_meta: f_max_alibi_bias = 0.0e+00
llm_load_print_meta: n_ff = 18176
llm_load_print_meta: freq_base_train = 10000.0
llm_load_print_meta: freq_scale_train = 1
llm_load_print_meta: model type = 7B
llm_load_print_meta: model ftype = mostly Q4_0
llm_load_print_meta: model params = 7.22 B
llm_load_print_meta: model size = 3.92 GiB (4.66 BPW)
llm_load_print_meta: general.name = Falcon
llm_load_print_meta: BOS token = 11 '<|endoftext|>'
llm_load_print_meta: EOS token = 11 '<|endoftext|>'
llm_load_print_meta: LF token = 138 'Ä'
llm_load_tensors: ggml ctx size = 0.07 MB
llm_load_tensors: mem required = 4013.54 MB
....................................................................................
llama_new_context_with_model: n_ctx = 512
llama_new_context_with_model: freq_base = 10000.0
llama_new_context_with_model: freq_scale = 1
llama_new_context_with_model: kv self size = 4.00 MB
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M1 Pro
ggml_metal_init: picking default device: Apple M1 Pro
ggml_metal_init: default.metallib not found, loading from source
ggml_metal_init: loading '/Users/jmorgan/workspace/llama.cpp/ggml-metal.metal'
ggml_metal_init: loaded kernel_add 0x122f05e20 | th_max = 1024 | th_width = 32
ggml_metal_init: loaded kernel_add_row 0x122f071f0 | th_max = 1024 | th_width = 32
ggml_metal_init: loaded kernel_mul 0x122f07720 | th_max = 1024 | th_width = 32
ggml_metal_init: loaded kernel_mul_row 0x122f07fd0 | th_max = 1024 | th_width = 32
ggml_metal_init: loaded kernel_scale 0x122f08820 | th_max = 1024 | th_width = 32
ggml_metal_init: loaded kernel_silu 0x122f08fd0 | th_max = 1024 | th_width = 32
ggml_metal_init: loaded kernel_relu 0x122f09780 | th_max = 1024 | th_width = 32
ggml_metal_init: loaded kernel_gelu 0x122f09f30 | th_max = 1024 | th_width = 32
ggml_metal_init: loaded kernel_soft_max 0x122f0a460 | th_max = 1024 | th_width = 32
ggml_metal_init: loaded kernel_soft_max_4 0x122f0a990 | th_max = 1024 | th_width = 32
ggml_metal_init: loaded kernel_diag_mask_inf 0x122f0aec0 | th_max = 1024 | th_width = 32
ggml_metal_init: loaded kernel_diag_mask_inf_8 0x122f0b570 | th_max = 1024 | th_width = 32
ggml_metal_init: loaded kernel_get_rows_f32 0x122f0baa0 | th_max = 1024 | th_width = 32
ggml_metal_init: loaded kernel_get_rows_f16 0x122f0bfd0 | th_max = 1024 | th_width = 32
ggml_metal_init: loaded kernel_get_rows_q4_0 0x122f0c500 | th_max = 1024 | th_width = 32
ggml_metal_init: loaded kernel_get_rows_q4_1 0x122f0ca30 | th_max = 1024 | th_width = 32
ggml_metal_init: loaded kernel_get_rows_q5_0 0x122f0cf60 | th_max = 1024 | th_width = 32
ggml_metal_init: loaded kernel_get_rows_q5_1 0x122f0d490 | th_max = 1024 | th_width = 32
ggml_metal_init: loaded kernel_get_rows_q8_0 0x122f0d9c0 | th_max = 1024 | th_width = 32
ggml_metal_init: loaded kernel_get_rows_q2_K 0x122f0e060 | th_max = 1024 | th_width = 32
ggml_metal_init: loaded kernel_get_rows_q3_K 0x113b06ad0 | th_max = 1024 | th_width = 32
ggml_metal_init: loaded kernel_get_rows_q4_K 0x113b06d20 | th_max = 1024 | th_width = 32
ggml_metal_init: loaded kernel_get_rows_q5_K 0x113b07250 | th_max = 1024 | th_width = 32
ggml_metal_init: loaded kernel_get_rows_q6_K 0x122f0e590 | th_max = 1024 | th_width = 32
ggml_metal_init: loaded kernel_rms_norm 0x122f0ec30 | th_max = 1024 | th_width = 32
ggml_metal_init: loaded kernel_norm 0x122f0f160 | th_max = 1024 | th_width = 32
ggml_metal_init: loaded kernel_mul_mv_f32_f32 0x113b07660 | th_max = 1024 | th_width = 32
ggml_metal_init: loaded kernel_mul_mv_f16_f32 0x113b07f00 | th_max = 1024 | th_width = 32
ggml_metal_init: loaded kernel_mul_mv_f16_f32_1row 0x122f0f570 | th_max = 1024 | th_width = 32
ggml_metal_init: loaded kernel_mul_mv_f16_f32_l4 0x122f0fe90 | th_max = 1024 | th_width = 32
ggml_metal_init: loaded kernel_mul_mv_q4_0_f32 0x122e073b0 | th_max = 896 | th_width = 32
ggml_metal_init: loaded kernel_mul_mv_q4_1_f32 0x122e07940 | th_max = 896 | th_width = 32
ggml_metal_init: loaded kernel_mul_mv_q5_0_f32 0x122e07e70 | th_max = 576 | th_width = 32
ggml_metal_init: loaded kernel_mul_mv_q5_1_f32 0x122e083a0 | th_max = 576 | th_width = 32
ggml_metal_init: loaded kernel_mul_mv_q8_0_f32 0x122f0ddd0 | th_max = 1024 | th_width = 32
ggml_metal_init: loaded kernel_mul_mv_q2_K_f32 0x122f10700 | th_max = 640 | th_width = 32
ggml_metal_init: loaded kernel_mul_mv_q3_K_f32 0x122f10c30 | th_max = 576 | th_width = 32
ggml_metal_init: loaded kernel_mul_mv_q4_K_f32 0x122f11160 | th_max = 576 | th_width = 32
ggml_metal_init: loaded kernel_mul_mv_q5_K_f32 0x122f11690 | th_max = 576 | th_width = 32
ggml_metal_init: loaded kernel_mul_mv_q6_K_f32 0x122f11bc0 | th_max = 1024 | th_width = 32
ggml_metal_init: loaded kernel_mul_mm_f32_f32 0x122f120f0 | th_max = 768 | th_width = 32
ggml_metal_init: loaded kernel_mul_mm_f16_f32 0x122f12620 | th_max = 768 | th_width = 32
ggml_metal_init: loaded kernel_mul_mm_q4_0_f32 0x122f12b50 | th_max = 704 | th_width = 32
ggml_metal_init: loaded kernel_mul_mm_q4_1_f32 0x122f13080 | th_max = 704 | th_width = 32
ggml_metal_init: loaded kernel_mul_mm_q5_0_f32 0x122f135b0 | th_max = 704 | th_width = 32
ggml_metal_init: loaded kernel_mul_mm_q5_1_f32 0x122f13ae0 | th_max = 704 | th_width = 32
ggml_metal_init: loaded kernel_mul_mm_q8_0_f32 0x122f14010 | th_max = 768 | th_width = 32
ggml_metal_init: loaded kernel_mul_mm_q2_K_f32 0x122f14730 | th_max = 768 | th_width = 32
ggml_metal_init: loaded kernel_mul_mm_q3_K_f32 0x122f14c60 | th_max = 768 | th_width = 32
ggml_metal_init: loaded kernel_mul_mm_q4_K_f32 0x122f15190 | th_max = 768 | th_width = 32
ggml_metal_init: loaded kernel_mul_mm_q5_K_f32 0x122f156c0 | th_max = 768 | th_width = 32
ggml_metal_init: loaded kernel_mul_mm_q6_K_f32 0x122f15bf0 | th_max = 768 | th_width = 32
ggml_metal_init: loaded kernel_rope_f32 0x122f16120 | th_max = 1024 | th_width = 32
ggml_metal_init: loaded kernel_rope_f16 0x122f16650 | th_max = 1024 | th_width = 32
ggml_metal_init: loaded kernel_alibi_f32 0x122f16b80 | th_max = 1024 | th_width = 32
ggml_metal_init: loaded kernel_cpy_f32_f16 0x122f170b0 | th_max = 1024 | th_width = 32
ggml_metal_init: loaded kernel_cpy_f32_f32 0x122f175e0 | th_max = 1024 | th_width = 32
ggml_metal_init: loaded kernel_cpy_f16_f16 0x122f17b10 | th_max = 1024 | th_width = 32
ggml_metal_init: loaded kernel_concat 0x122f18040 | th_max = 1024 | th_width = 32
ggml_metal_init: loaded kernel_sqr 0x122f187f0 | th_max = 1024 | th_width = 32
ggml_metal_init: GPU name: Apple M1 Pro
ggml_metal_init: GPU family: MTLGPUFamilyApple7 (1007)
ggml_metal_init: hasUnifiedMemory = true
ggml_metal_init: recommendedMaxWorkingSetSize = 21845.34 MB
ggml_metal_init: maxTransferRate = built-in GPU
llama_new_context_with_model: compute buffer total size = 151.88 MB
llama_new_context_with_model: max tensor size = 299.39 MB
ggml_metal_add_buffer: allocated 'data ' buffer, size = 4015.92 MB, ( 4016.55 / 21845.34)
ggml_metal_add_buffer: allocated 'kv ' buffer, size = 4.02 MB, ( 4020.56 / 21845.34)
ggml_metal_add_buffer: allocated 'alloc ' buffer, size = 145.77 MB, ( 4166.33 / 21845.34)
system_info: n_threads = 8 / 10 | AVX = 0 | AVX2 = 0 | AVX512 = 0 | AVX512_VBMI = 0 | AVX512_VNNI = 0 | FMA = 0 | NEON = 1 | ARM_FMA = 1 | F16C = 0 | FP16_VA = 1 | WASM_SIMD = 0 | BLAS = 1 | SSE3 = 0 | SSSE3 = 0 | VSX = 0 |
sampling:
repeat_last_n = 64, repeat_penalty = 1.100, frequency_penalty = 0.000, presence_penalty = 0.000
top_k = 40, tfs_z = 1.000, top_p = 0.950, typical_p = 1.000, temp = 0.800
mirostat = 0, mirostat_lr = 0.100, mirostat_ent = 5.000
generate: n_ctx = 512, n_batch = 512, n_predict = -1, n_keep = 0
hello all, i just got my droid x last week and i must say that i love it! its a great phone, but there is one thing i reallyGGML_ASSERT: ggml-metal.m:932: n % 4 == 0
GGML_ASSERT: ggml-metal.m:932: n % 4 == 0
GGML_ASSERT: ggml-metal.m:932: n % 4 == 0
zsh: abort ./main -m ./ggml-tiiuae-falcon-7b-Q4_0.gguf -ngl 1 -p "hello"