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@TheBloke
Created September 12, 2023 19:50
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(pytorch2) ubuntu@a10:/workspace/git/gguf-llama (master ✔) ᐅ ./main -m /workspace/spicyboros-70B-2.2.Q4_0.gguf -c 4096 -p "A chat.\nUSER: Write a story about llamas\nASSISTANT:" -n 128
Log start
main: build = 1215 (89e8959)
main: seed = 1694547445
ggml_init_cublas: found 1 CUDA devices:
Device 0: NVIDIA A10, compute capability 8.6
llama_model_loader: loaded meta data with 20 key-value pairs and 723 tensors from /workspace/spicyboros-70B-2.2.Q4_0.gguf (version GGUF V2 (latest))
llama_model_loader: - tensor 0: token_embd.weight q4_0 [ 8192, 32000, 1, 1 ]
llama_model_loader: - tensor 1: blk.0.attn_q.weight q4_0 [ 8192, 8192, 1, 1 ]
llama_model_loader: - tensor 2: blk.0.attn_k.weight q4_0 [ 8192, 1024, 1, 1 ]
llama_model_loader: - tensor 3: blk.0.attn_v.weight q4_0 [ 8192, 1024, 1, 1 ]
llama_model_loader: - tensor 4: blk.0.attn_output.weight q4_0 [ 8192, 8192, 1, 1 ]
llama_model_loader: - tensor 5: blk.0.ffn_gate.weight q4_0 [ 8192, 28672, 1, 1 ]
llama_model_loader: - tensor 6: blk.0.ffn_up.weight q4_0 [ 8192, 28672, 1, 1 ]
llama_model_loader: - tensor 7: blk.0.ffn_down.weight q4_0 [ 28672, 8192, 1, 1 ]
llama_model_loader: - tensor 8: blk.0.attn_norm.weight f32 [ 8192, 1, 1, 1 ]
llama_model_loader: - tensor 9: blk.0.ffn_norm.weight f32 [ 8192, 1, 1, 1 ]
llama_model_loader: - tensor 10: blk.1.attn_q.weight q4_0 [ 8192, 8192, 1, 1 ]
llama_model_loader: - tensor 11: blk.1.attn_k.weight q4_0 [ 8192, 1024, 1, 1 ]
llama_model_loader: - tensor 12: blk.1.attn_v.weight q4_0 [ 8192, 1024, 1, 1 ]
llama_model_loader: - tensor 13: blk.1.attn_output.weight q4_0 [ 8192, 8192, 1, 1 ]
llama_model_loader: - tensor 14: blk.1.ffn_gate.weight q4_0 [ 8192, 28672, 1, 1 ]
llama_model_loader: - tensor 15: blk.1.ffn_up.weight q4_0 [ 8192, 28672, 1, 1 ]
llama_model_loader: - tensor 16: blk.1.ffn_down.weight q4_0 [ 28672, 8192, 1, 1 ]
llama_model_loader: - tensor 17: blk.1.attn_norm.weight f32 [ 8192, 1, 1, 1 ]
llama_model_loader: - tensor 18: blk.1.ffn_norm.weight f32 [ 8192, 1, 1, 1 ]
llama_model_loader: - tensor 19: blk.2.attn_q.weight q4_0 [ 8192, 8192, 1, 1 ]
llama_model_loader: - tensor 20: blk.2.attn_k.weight q4_0 [ 8192, 1024, 1, 1 ]
llama_model_loader: - tensor 21: blk.2.attn_v.weight q4_0 [ 8192, 1024, 1, 1 ]
llama_model_loader: - tensor 22: blk.2.attn_output.weight q4_0 [ 8192, 8192, 1, 1 ]
llama_model_loader: - tensor 23: blk.2.ffn_gate.weight q4_0 [ 8192, 28672, 1, 1 ]
llama_model_loader: - tensor 24: blk.2.ffn_up.weight q4_0 [ 8192, 28672, 1, 1 ]
llama_model_loader: - tensor 25: blk.2.ffn_down.weight q4_0 [ 28672, 8192, 1, 1 ]
llama_model_loader: - tensor 26: blk.2.attn_norm.weight f32 [ 8192, 1, 1, 1 ]
llama_model_loader: - tensor 27: blk.2.ffn_norm.weight f32 [ 8192, 1, 1, 1 ]
llama_model_loader: - tensor 28: blk.3.attn_q.weight q4_0 [ 8192, 8192, 1, 1 ]
llama_model_loader: - tensor 29: blk.3.attn_k.weight q4_0 [ 8192, 1024, 1, 1 ]
llama_model_loader: - tensor 30: blk.3.attn_v.weight q4_0 [ 8192, 1024, 1, 1 ]
llama_model_loader: - tensor 31: blk.3.attn_output.weight q4_0 [ 8192, 8192, 1, 1 ]
llama_model_loader: - tensor 32: blk.3.ffn_gate.weight q4_0 [ 8192, 28672, 1, 1 ]
llama_model_loader: - tensor 33: blk.3.ffn_up.weight q4_0 [ 8192, 28672, 1, 1 ]
llama_model_loader: - tensor 34: blk.3.ffn_down.weight q4_0 [ 28672, 8192, 1, 1 ]
llama_model_loader: - tensor 35: blk.3.attn_norm.weight f32 [ 8192, 1, 1, 1 ]
llama_model_loader: - tensor 36: blk.3.ffn_norm.weight f32 [ 8192, 1, 1, 1 ]
llama_model_loader: - tensor 37: blk.4.attn_q.weight q4_0 [ 8192, 8192, 1, 1 ]
llama_model_loader: - tensor 38: blk.4.attn_k.weight q4_0 [ 8192, 1024, 1, 1 ]
llama_model_loader: - tensor 39: blk.4.attn_v.weight q4_0 [ 8192, 1024, 1, 1 ]
llama_model_loader: - tensor 40: blk.4.attn_output.weight q4_0 [ 8192, 8192, 1, 1 ]
llama_model_loader: - tensor 41: blk.4.ffn_gate.weight q4_0 [ 8192, 28672, 1, 1 ]
llama_model_loader: - tensor 42: blk.4.ffn_up.weight q4_0 [ 8192, 28672, 1, 1 ]
llama_model_loader: - tensor 43: blk.4.ffn_down.weight q4_0 [ 28672, 8192, 1, 1 ]
llama_model_loader: - tensor 44: blk.4.attn_norm.weight f32 [ 8192, 1, 1, 1 ]
llama_model_loader: - tensor 45: blk.4.ffn_norm.weight f32 [ 8192, 1, 1, 1 ]
llama_model_loader: - tensor 46: blk.5.attn_q.weight q4_0 [ 8192, 8192, 1, 1 ]
llama_model_loader: - tensor 47: blk.5.attn_k.weight q4_0 [ 8192, 1024, 1, 1 ]
llama_model_loader: - tensor 48: blk.5.attn_v.weight q4_0 [ 8192, 1024, 1, 1 ]
llama_model_loader: - tensor 49: blk.5.attn_output.weight q4_0 [ 8192, 8192, 1, 1 ]
llama_model_loader: - tensor 50: blk.5.ffn_gate.weight q4_0 [ 8192, 28672, 1, 1 ]
llama_model_loader: - tensor 51: blk.5.ffn_up.weight q4_0 [ 8192, 28672, 1, 1 ]
llama_model_loader: - tensor 52: blk.5.ffn_down.weight q4_0 [ 28672, 8192, 1, 1 ]
llama_model_loader: - tensor 53: blk.5.attn_norm.weight f32 [ 8192, 1, 1, 1 ]
llama_model_loader: - tensor 54: blk.5.ffn_norm.weight f32 [ 8192, 1, 1, 1 ]
llama_model_loader: - tensor 55: blk.6.attn_q.weight q4_0 [ 8192, 8192, 1, 1 ]
llama_model_loader: - tensor 56: blk.6.attn_k.weight q4_0 [ 8192, 1024, 1, 1 ]
llama_model_loader: - tensor 57: blk.6.attn_v.weight q4_0 [ 8192, 1024, 1, 1 ]
llama_model_loader: - tensor 58: blk.6.attn_output.weight q4_0 [ 8192, 8192, 1, 1 ]
llama_model_loader: - tensor 59: blk.6.ffn_gate.weight q4_0 [ 8192, 28672, 1, 1 ]
llama_model_loader: - tensor 60: blk.6.ffn_up.weight q4_0 [ 8192, 28672, 1, 1 ]
llama_model_loader: - tensor 61: blk.6.ffn_down.weight q4_0 [ 28672, 8192, 1, 1 ]
llama_model_loader: - tensor 62: blk.6.attn_norm.weight f32 [ 8192, 1, 1, 1 ]
llama_model_loader: - tensor 63: blk.6.ffn_norm.weight f32 [ 8192, 1, 1, 1 ]
llama_model_loader: - tensor 64: blk.7.attn_q.weight q4_0 [ 8192, 8192, 1, 1 ]
llama_model_loader: - tensor 65: blk.7.attn_k.weight q4_0 [ 8192, 1024, 1, 1 ]
llama_model_loader: - tensor 66: blk.7.attn_v.weight q4_0 [ 8192, 1024, 1, 1 ]
llama_model_loader: - tensor 67: blk.7.attn_output.weight q4_0 [ 8192, 8192, 1, 1 ]
llama_model_loader: - tensor 68: blk.7.ffn_gate.weight q4_0 [ 8192, 28672, 1, 1 ]
llama_model_loader: - tensor 69: blk.7.ffn_up.weight q4_0 [ 8192, 28672, 1, 1 ]
llama_model_loader: - tensor 70: blk.7.ffn_down.weight q4_0 [ 28672, 8192, 1, 1 ]
llama_model_loader: - tensor 71: blk.7.attn_norm.weight f32 [ 8192, 1, 1, 1 ]
llama_model_loader: - tensor 72: blk.7.ffn_norm.weight f32 [ 8192, 1, 1, 1 ]
llama_model_loader: - tensor 73: blk.8.attn_q.weight q4_0 [ 8192, 8192, 1, 1 ]
llama_model_loader: - tensor 74: blk.8.attn_k.weight q4_0 [ 8192, 1024, 1, 1 ]
llama_model_loader: - tensor 75: blk.8.attn_v.weight q4_0 [ 8192, 1024, 1, 1 ]
llama_model_loader: - tensor 76: blk.8.attn_output.weight q4_0 [ 8192, 8192, 1, 1 ]
llama_model_loader: - tensor 77: blk.8.ffn_gate.weight q4_0 [ 8192, 28672, 1, 1 ]
llama_model_loader: - tensor 78: blk.8.ffn_up.weight q4_0 [ 8192, 28672, 1, 1 ]
llama_model_loader: - tensor 79: blk.8.ffn_down.weight q4_0 [ 28672, 8192, 1, 1 ]
llama_model_loader: - tensor 80: blk.8.attn_norm.weight f32 [ 8192, 1, 1, 1 ]
llama_model_loader: - tensor 81: blk.8.ffn_norm.weight f32 [ 8192, 1, 1, 1 ]
llama_model_loader: - tensor 82: blk.9.attn_q.weight q4_0 [ 8192, 8192, 1, 1 ]
llama_model_loader: - tensor 83: blk.9.attn_k.weight q4_0 [ 8192, 1024, 1, 1 ]
llama_model_loader: - tensor 84: blk.9.attn_v.weight q4_0 [ 8192, 1024, 1, 1 ]
llama_model_loader: - tensor 85: blk.9.attn_output.weight q4_0 [ 8192, 8192, 1, 1 ]
llama_model_loader: - tensor 86: blk.9.ffn_gate.weight q4_0 [ 8192, 28672, 1, 1 ]
llama_model_loader: - tensor 87: blk.9.ffn_up.weight q4_0 [ 8192, 28672, 1, 1 ]
llama_model_loader: - tensor 88: blk.9.ffn_down.weight q4_0 [ 28672, 8192, 1, 1 ]
llama_model_loader: - tensor 89: blk.9.attn_norm.weight f32 [ 8192, 1, 1, 1 ]
llama_model_loader: - tensor 90: blk.9.ffn_norm.weight f32 [ 8192, 1, 1, 1 ]
llama_model_loader: - tensor 91: blk.10.attn_q.weight q4_0 [ 8192, 8192, 1, 1 ]
llama_model_loader: - tensor 92: blk.10.attn_k.weight q4_0 [ 8192, 1024, 1, 1 ]
llama_model_loader: - tensor 93: blk.10.attn_v.weight q4_0 [ 8192, 1024, 1, 1 ]
llama_model_loader: - tensor 94: blk.10.attn_output.weight q4_0 [ 8192, 8192, 1, 1 ]
llama_model_loader: - tensor 95: blk.10.ffn_gate.weight q4_0 [ 8192, 28672, 1, 1 ]
llama_model_loader: - tensor 96: blk.10.ffn_up.weight q4_0 [ 8192, 28672, 1, 1 ]
llama_model_loader: - tensor 97: blk.10.ffn_down.weight q4_0 [ 28672, 8192, 1, 1 ]
llama_model_loader: - tensor 98: blk.10.attn_norm.weight f32 [ 8192, 1, 1, 1 ]
llama_model_loader: - tensor 99: blk.10.ffn_norm.weight f32 [ 8192, 1, 1, 1 ]
llama_model_loader: - tensor 100: blk.11.attn_q.weight q4_0 [ 8192, 8192, 1, 1 ]
llama_model_loader: - tensor 101: blk.11.attn_k.weight q4_0 [ 8192, 1024, 1, 1 ]
llama_model_loader: - tensor 102: blk.11.attn_v.weight q4_0 [ 8192, 1024, 1, 1 ]
llama_model_loader: - tensor 103: blk.11.attn_output.weight q4_0 [ 8192, 8192, 1, 1 ]
llama_model_loader: - tensor 104: blk.11.ffn_gate.weight q4_0 [ 8192, 28672, 1, 1 ]
llama_model_loader: - tensor 105: blk.11.ffn_up.weight q4_0 [ 8192, 28672, 1, 1 ]
llama_model_loader: - tensor 106: blk.11.ffn_down.weight q4_0 [ 28672, 8192, 1, 1 ]
llama_model_loader: - tensor 107: blk.11.attn_norm.weight f32 [ 8192, 1, 1, 1 ]
llama_model_loader: - tensor 108: blk.11.ffn_norm.weight f32 [ 8192, 1, 1, 1 ]
llama_model_loader: - tensor 109: blk.12.attn_q.weight q4_0 [ 8192, 8192, 1, 1 ]
llama_model_loader: - tensor 110: blk.12.attn_k.weight q4_0 [ 8192, 1024, 1, 1 ]
llama_model_loader: - tensor 111: blk.12.attn_v.weight q4_0 [ 8192, 1024, 1, 1 ]
llama_model_loader: - tensor 112: blk.12.attn_output.weight q4_0 [ 8192, 8192, 1, 1 ]
llama_model_loader: - tensor 113: blk.12.ffn_gate.weight q4_0 [ 8192, 28672, 1, 1 ]
llama_model_loader: - tensor 114: blk.12.ffn_up.weight q4_0 [ 8192, 28672, 1, 1 ]
llama_model_loader: - tensor 115: blk.12.ffn_down.weight q4_0 [ 28672, 8192, 1, 1 ]
llama_model_loader: - tensor 116: blk.12.attn_norm.weight f32 [ 8192, 1, 1, 1 ]
llama_model_loader: - tensor 117: blk.12.ffn_norm.weight f32 [ 8192, 1, 1, 1 ]
llama_model_loader: - tensor 118: blk.13.attn_q.weight q4_0 [ 8192, 8192, 1, 1 ]
llama_model_loader: - tensor 119: blk.13.attn_k.weight q4_0 [ 8192, 1024, 1, 1 ]
llama_model_loader: - tensor 120: blk.13.attn_v.weight q4_0 [ 8192, 1024, 1, 1 ]
llama_model_loader: - tensor 121: blk.13.attn_output.weight q4_0 [ 8192, 8192, 1, 1 ]
llama_model_loader: - tensor 122: blk.13.ffn_gate.weight q4_0 [ 8192, 28672, 1, 1 ]
llama_model_loader: - tensor 123: blk.13.ffn_up.weight q4_0 [ 8192, 28672, 1, 1 ]
llama_model_loader: - tensor 124: blk.13.ffn_down.weight q4_0 [ 28672, 8192, 1, 1 ]
llama_model_loader: - tensor 125: blk.13.attn_norm.weight f32 [ 8192, 1, 1, 1 ]
llama_model_loader: - tensor 126: blk.13.ffn_norm.weight f32 [ 8192, 1, 1, 1 ]
llama_model_loader: - tensor 127: blk.14.attn_q.weight q4_0 [ 8192, 8192, 1, 1 ]
llama_model_loader: - tensor 128: blk.14.attn_k.weight q4_0 [ 8192, 1024, 1, 1 ]
llama_model_loader: - tensor 129: blk.14.attn_v.weight q4_0 [ 8192, 1024, 1, 1 ]
llama_model_loader: - tensor 130: blk.14.attn_output.weight q4_0 [ 8192, 8192, 1, 1 ]
llama_model_loader: - tensor 131: blk.14.ffn_gate.weight q4_0 [ 8192, 28672, 1, 1 ]
llama_model_loader: - tensor 132: blk.14.ffn_up.weight q4_0 [ 8192, 28672, 1, 1 ]
llama_model_loader: - tensor 133: blk.14.ffn_down.weight q4_0 [ 28672, 8192, 1, 1 ]
llama_model_loader: - tensor 134: blk.14.attn_norm.weight f32 [ 8192, 1, 1, 1 ]
llama_model_loader: - tensor 135: blk.14.ffn_norm.weight f32 [ 8192, 1, 1, 1 ]
llama_model_loader: - tensor 136: blk.15.attn_q.weight q4_0 [ 8192, 8192, 1, 1 ]
llama_model_loader: - tensor 137: blk.15.attn_k.weight q4_0 [ 8192, 1024, 1, 1 ]
llama_model_loader: - tensor 138: blk.15.attn_v.weight q4_0 [ 8192, 1024, 1, 1 ]
llama_model_loader: - tensor 139: blk.15.attn_output.weight q4_0 [ 8192, 8192, 1, 1 ]
llama_model_loader: - tensor 140: blk.15.ffn_gate.weight q4_0 [ 8192, 28672, 1, 1 ]
llama_model_loader: - tensor 141: blk.15.ffn_up.weight q4_0 [ 8192, 28672, 1, 1 ]
llama_model_loader: - tensor 142: blk.15.ffn_down.weight q4_0 [ 28672, 8192, 1, 1 ]
llama_model_loader: - tensor 143: blk.15.attn_norm.weight f32 [ 8192, 1, 1, 1 ]
llama_model_loader: - tensor 144: blk.15.ffn_norm.weight f32 [ 8192, 1, 1, 1 ]
llama_model_loader: - tensor 145: blk.16.attn_q.weight q4_0 [ 8192, 8192, 1, 1 ]
llama_model_loader: - tensor 146: blk.16.attn_k.weight q4_0 [ 8192, 1024, 1, 1 ]
llama_model_loader: - tensor 147: blk.16.attn_v.weight q4_0 [ 8192, 1024, 1, 1 ]
llama_model_loader: - tensor 148: blk.16.attn_output.weight q4_0 [ 8192, 8192, 1, 1 ]
llama_model_loader: - tensor 149: blk.16.ffn_gate.weight q4_0 [ 8192, 28672, 1, 1 ]
llama_model_loader: - tensor 150: blk.16.ffn_up.weight q4_0 [ 8192, 28672, 1, 1 ]
llama_model_loader: - tensor 151: blk.16.ffn_down.weight q4_0 [ 28672, 8192, 1, 1 ]
llama_model_loader: - tensor 152: blk.16.attn_norm.weight f32 [ 8192, 1, 1, 1 ]
llama_model_loader: - tensor 153: blk.16.ffn_norm.weight f32 [ 8192, 1, 1, 1 ]
llama_model_loader: - tensor 154: blk.17.attn_q.weight q4_0 [ 8192, 8192, 1, 1 ]
llama_model_loader: - tensor 155: blk.17.attn_k.weight q4_0 [ 8192, 1024, 1, 1 ]
llama_model_loader: - tensor 156: blk.17.attn_v.weight q4_0 [ 8192, 1024, 1, 1 ]
llama_model_loader: - tensor 157: blk.17.attn_output.weight q4_0 [ 8192, 8192, 1, 1 ]
llama_model_loader: - tensor 158: blk.17.ffn_gate.weight q4_0 [ 8192, 28672, 1, 1 ]
llama_model_loader: - tensor 159: blk.17.ffn_up.weight q4_0 [ 8192, 28672, 1, 1 ]
llama_model_loader: - tensor 160: blk.17.ffn_down.weight q4_0 [ 28672, 8192, 1, 1 ]
llama_model_loader: - tensor 161: blk.17.attn_norm.weight f32 [ 8192, 1, 1, 1 ]
llama_model_loader: - tensor 162: blk.17.ffn_norm.weight f32 [ 8192, 1, 1, 1 ]
llama_model_loader: - tensor 163: blk.18.attn_q.weight q4_0 [ 8192, 8192, 1, 1 ]
llama_model_loader: - tensor 164: blk.18.attn_k.weight q4_0 [ 8192, 1024, 1, 1 ]
llama_model_loader: - tensor 165: blk.18.attn_v.weight q4_0 [ 8192, 1024, 1, 1 ]
llama_model_loader: - tensor 166: blk.18.attn_output.weight q4_0 [ 8192, 8192, 1, 1 ]
llama_model_loader: - tensor 167: blk.18.ffn_gate.weight q4_0 [ 8192, 28672, 1, 1 ]
llama_model_loader: - tensor 168: blk.18.ffn_up.weight q4_0 [ 8192, 28672, 1, 1 ]
llama_model_loader: - tensor 169: blk.18.ffn_down.weight q4_0 [ 28672, 8192, 1, 1 ]
llama_model_loader: - tensor 170: blk.18.attn_norm.weight f32 [ 8192, 1, 1, 1 ]
llama_model_loader: - tensor 171: blk.18.ffn_norm.weight f32 [ 8192, 1, 1, 1 ]
llama_model_loader: - tensor 172: blk.19.attn_q.weight q4_0 [ 8192, 8192, 1, 1 ]
llama_model_loader: - tensor 173: blk.19.attn_k.weight q4_0 [ 8192, 1024, 1, 1 ]
llama_model_loader: - tensor 174: blk.19.attn_v.weight q4_0 [ 8192, 1024, 1, 1 ]
llama_model_loader: - tensor 175: blk.19.attn_output.weight q4_0 [ 8192, 8192, 1, 1 ]
llama_model_loader: - tensor 176: blk.19.ffn_gate.weight q4_0 [ 8192, 28672, 1, 1 ]
llama_model_loader: - tensor 177: blk.19.ffn_up.weight q4_0 [ 8192, 28672, 1, 1 ]
llama_model_loader: - tensor 178: blk.19.ffn_down.weight q4_0 [ 28672, 8192, 1, 1 ]
llama_model_loader: - tensor 179: blk.19.attn_norm.weight f32 [ 8192, 1, 1, 1 ]
llama_model_loader: - tensor 180: blk.19.ffn_norm.weight f32 [ 8192, 1, 1, 1 ]
llama_model_loader: - tensor 181: blk.20.attn_q.weight q4_0 [ 8192, 8192, 1, 1 ]
llama_model_loader: - tensor 182: blk.20.attn_k.weight q4_0 [ 8192, 1024, 1, 1 ]
llama_model_loader: - tensor 183: blk.20.attn_v.weight q4_0 [ 8192, 1024, 1, 1 ]
llama_model_loader: - tensor 184: blk.20.attn_output.weight q4_0 [ 8192, 8192, 1, 1 ]
llama_model_loader: - tensor 185: blk.20.ffn_gate.weight q4_0 [ 8192, 28672, 1, 1 ]
llama_model_loader: - tensor 186: blk.20.ffn_up.weight q4_0 [ 8192, 28672, 1, 1 ]
llama_model_loader: - tensor 187: blk.20.ffn_down.weight q4_0 [ 28672, 8192, 1, 1 ]
llama_model_loader: - tensor 188: blk.20.attn_norm.weight f32 [ 8192, 1, 1, 1 ]
llama_model_loader: - tensor 189: blk.20.ffn_norm.weight f32 [ 8192, 1, 1, 1 ]
llama_model_loader: - tensor 190: blk.21.attn_q.weight q4_0 [ 8192, 8192, 1, 1 ]
llama_model_loader: - tensor 191: blk.21.attn_k.weight q4_0 [ 8192, 1024, 1, 1 ]
llama_model_loader: - tensor 192: blk.21.attn_v.weight q4_0 [ 8192, 1024, 1, 1 ]
llama_model_loader: - tensor 193: blk.21.attn_output.weight q4_0 [ 8192, 8192, 1, 1 ]
llama_model_loader: - tensor 194: blk.21.ffn_gate.weight q4_0 [ 8192, 28672, 1, 1 ]
llama_model_loader: - tensor 195: blk.21.ffn_up.weight q4_0 [ 8192, 28672, 1, 1 ]
llama_model_loader: - tensor 196: blk.21.ffn_down.weight q4_0 [ 28672, 8192, 1, 1 ]
llama_model_loader: - tensor 197: blk.21.attn_norm.weight f32 [ 8192, 1, 1, 1 ]
llama_model_loader: - tensor 198: blk.21.ffn_norm.weight f32 [ 8192, 1, 1, 1 ]
llama_model_loader: - tensor 199: blk.22.attn_q.weight q4_0 [ 8192, 8192, 1, 1 ]
llama_model_loader: - tensor 200: blk.22.attn_k.weight q4_0 [ 8192, 1024, 1, 1 ]
llama_model_loader: - tensor 201: blk.22.attn_v.weight q4_0 [ 8192, 1024, 1, 1 ]
llama_model_loader: - tensor 202: blk.22.attn_output.weight q4_0 [ 8192, 8192, 1, 1 ]
llama_model_loader: - tensor 203: blk.22.ffn_gate.weight q4_0 [ 8192, 28672, 1, 1 ]
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llama_model_loader: - tensor 629: blk.69.attn_norm.weight f32 [ 8192, 1, 1, 1 ]
llama_model_loader: - tensor 630: blk.69.ffn_norm.weight f32 [ 8192, 1, 1, 1 ]
llama_model_loader: - tensor 631: blk.70.attn_q.weight q4_0 [ 8192, 8192, 1, 1 ]
llama_model_loader: - tensor 632: blk.70.attn_k.weight q4_0 [ 8192, 1024, 1, 1 ]
llama_model_loader: - tensor 633: blk.70.attn_v.weight q4_0 [ 8192, 1024, 1, 1 ]
llama_model_loader: - tensor 634: blk.70.attn_output.weight q4_0 [ 8192, 8192, 1, 1 ]
llama_model_loader: - tensor 635: blk.70.ffn_gate.weight q4_0 [ 8192, 28672, 1, 1 ]
llama_model_loader: - tensor 636: blk.70.ffn_up.weight q4_0 [ 8192, 28672, 1, 1 ]
llama_model_loader: - tensor 637: blk.70.ffn_down.weight q4_0 [ 28672, 8192, 1, 1 ]
llama_model_loader: - tensor 638: blk.70.attn_norm.weight f32 [ 8192, 1, 1, 1 ]
llama_model_loader: - tensor 639: blk.70.ffn_norm.weight f32 [ 8192, 1, 1, 1 ]
llama_model_loader: - tensor 640: blk.71.attn_q.weight q4_0 [ 8192, 8192, 1, 1 ]
llama_model_loader: - tensor 641: blk.71.attn_k.weight q4_0 [ 8192, 1024, 1, 1 ]
llama_model_loader: - tensor 642: blk.71.attn_v.weight q4_0 [ 8192, 1024, 1, 1 ]
llama_model_loader: - tensor 643: blk.71.attn_output.weight q4_0 [ 8192, 8192, 1, 1 ]
llama_model_loader: - tensor 644: blk.71.ffn_gate.weight q4_0 [ 8192, 28672, 1, 1 ]
llama_model_loader: - tensor 645: blk.71.ffn_up.weight q4_0 [ 8192, 28672, 1, 1 ]
llama_model_loader: - tensor 646: blk.71.ffn_down.weight q4_0 [ 28672, 8192, 1, 1 ]
llama_model_loader: - tensor 647: blk.71.attn_norm.weight f32 [ 8192, 1, 1, 1 ]
llama_model_loader: - tensor 648: blk.71.ffn_norm.weight f32 [ 8192, 1, 1, 1 ]
llama_model_loader: - tensor 649: blk.72.attn_q.weight q4_0 [ 8192, 8192, 1, 1 ]
llama_model_loader: - tensor 650: blk.72.attn_k.weight q4_0 [ 8192, 1024, 1, 1 ]
llama_model_loader: - tensor 651: blk.72.attn_v.weight q4_0 [ 8192, 1024, 1, 1 ]
llama_model_loader: - tensor 652: blk.72.attn_output.weight q4_0 [ 8192, 8192, 1, 1 ]
llama_model_loader: - tensor 653: blk.72.ffn_gate.weight q4_0 [ 8192, 28672, 1, 1 ]
llama_model_loader: - tensor 654: blk.72.ffn_up.weight q4_0 [ 8192, 28672, 1, 1 ]
llama_model_loader: - tensor 655: blk.72.ffn_down.weight q4_0 [ 28672, 8192, 1, 1 ]
llama_model_loader: - tensor 656: blk.72.attn_norm.weight f32 [ 8192, 1, 1, 1 ]
llama_model_loader: - tensor 657: blk.72.ffn_norm.weight f32 [ 8192, 1, 1, 1 ]
llama_model_loader: - tensor 658: blk.73.attn_q.weight q4_0 [ 8192, 8192, 1, 1 ]
llama_model_loader: - tensor 659: blk.73.attn_k.weight q4_0 [ 8192, 1024, 1, 1 ]
llama_model_loader: - tensor 660: blk.73.attn_v.weight q4_0 [ 8192, 1024, 1, 1 ]
llama_model_loader: - tensor 661: blk.73.attn_output.weight q4_0 [ 8192, 8192, 1, 1 ]
llama_model_loader: - tensor 662: blk.73.ffn_gate.weight q4_0 [ 8192, 28672, 1, 1 ]
llama_model_loader: - tensor 663: blk.73.ffn_up.weight q4_0 [ 8192, 28672, 1, 1 ]
llama_model_loader: - tensor 664: blk.73.ffn_down.weight q4_0 [ 28672, 8192, 1, 1 ]
llama_model_loader: - tensor 665: blk.73.attn_norm.weight f32 [ 8192, 1, 1, 1 ]
llama_model_loader: - tensor 666: blk.73.ffn_norm.weight f32 [ 8192, 1, 1, 1 ]
llama_model_loader: - tensor 667: blk.74.attn_q.weight q4_0 [ 8192, 8192, 1, 1 ]
llama_model_loader: - tensor 668: blk.74.attn_k.weight q4_0 [ 8192, 1024, 1, 1 ]
llama_model_loader: - tensor 669: blk.74.attn_v.weight q4_0 [ 8192, 1024, 1, 1 ]
llama_model_loader: - tensor 670: blk.74.attn_output.weight q4_0 [ 8192, 8192, 1, 1 ]
llama_model_loader: - tensor 671: blk.74.ffn_gate.weight q4_0 [ 8192, 28672, 1, 1 ]
llama_model_loader: - tensor 672: blk.74.ffn_up.weight q4_0 [ 8192, 28672, 1, 1 ]
llama_model_loader: - tensor 673: blk.74.ffn_down.weight q4_0 [ 28672, 8192, 1, 1 ]
llama_model_loader: - tensor 674: blk.74.attn_norm.weight f32 [ 8192, 1, 1, 1 ]
llama_model_loader: - tensor 675: blk.74.ffn_norm.weight f32 [ 8192, 1, 1, 1 ]
llama_model_loader: - tensor 676: blk.75.attn_q.weight q4_0 [ 8192, 8192, 1, 1 ]
llama_model_loader: - tensor 677: blk.75.attn_k.weight q4_0 [ 8192, 1024, 1, 1 ]
llama_model_loader: - tensor 678: blk.75.attn_v.weight q4_0 [ 8192, 1024, 1, 1 ]
llama_model_loader: - tensor 679: blk.75.attn_output.weight q4_0 [ 8192, 8192, 1, 1 ]
llama_model_loader: - tensor 680: blk.75.ffn_gate.weight q4_0 [ 8192, 28672, 1, 1 ]
llama_model_loader: - tensor 681: blk.75.ffn_up.weight q4_0 [ 8192, 28672, 1, 1 ]
llama_model_loader: - tensor 682: blk.75.ffn_down.weight q4_0 [ 28672, 8192, 1, 1 ]
llama_model_loader: - tensor 683: blk.75.attn_norm.weight f32 [ 8192, 1, 1, 1 ]
llama_model_loader: - tensor 684: blk.75.ffn_norm.weight f32 [ 8192, 1, 1, 1 ]
llama_model_loader: - tensor 685: blk.76.attn_q.weight q4_0 [ 8192, 8192, 1, 1 ]
llama_model_loader: - tensor 686: blk.76.attn_k.weight q4_0 [ 8192, 1024, 1, 1 ]
llama_model_loader: - tensor 687: blk.76.attn_v.weight q4_0 [ 8192, 1024, 1, 1 ]
llama_model_loader: - tensor 688: blk.76.attn_output.weight q4_0 [ 8192, 8192, 1, 1 ]
llama_model_loader: - tensor 689: blk.76.ffn_gate.weight q4_0 [ 8192, 28672, 1, 1 ]
llama_model_loader: - tensor 690: blk.76.ffn_up.weight q4_0 [ 8192, 28672, 1, 1 ]
llama_model_loader: - tensor 691: blk.76.ffn_down.weight q4_0 [ 28672, 8192, 1, 1 ]
llama_model_loader: - tensor 692: blk.76.attn_norm.weight f32 [ 8192, 1, 1, 1 ]
llama_model_loader: - tensor 693: blk.76.ffn_norm.weight f32 [ 8192, 1, 1, 1 ]
llama_model_loader: - tensor 694: blk.77.attn_q.weight q4_0 [ 8192, 8192, 1, 1 ]
llama_model_loader: - tensor 695: blk.77.attn_k.weight q4_0 [ 8192, 1024, 1, 1 ]
llama_model_loader: - tensor 696: blk.77.attn_v.weight q4_0 [ 8192, 1024, 1, 1 ]
llama_model_loader: - tensor 697: blk.77.attn_output.weight q4_0 [ 8192, 8192, 1, 1 ]
llama_model_loader: - tensor 698: blk.77.ffn_gate.weight q4_0 [ 8192, 28672, 1, 1 ]
llama_model_loader: - tensor 699: blk.77.ffn_up.weight q4_0 [ 8192, 28672, 1, 1 ]
llama_model_loader: - tensor 700: blk.77.ffn_down.weight q4_0 [ 28672, 8192, 1, 1 ]
llama_model_loader: - tensor 701: blk.77.attn_norm.weight f32 [ 8192, 1, 1, 1 ]
llama_model_loader: - tensor 702: blk.77.ffn_norm.weight f32 [ 8192, 1, 1, 1 ]
llama_model_loader: - tensor 703: blk.78.attn_q.weight q4_0 [ 8192, 8192, 1, 1 ]
llama_model_loader: - tensor 704: blk.78.attn_k.weight q4_0 [ 8192, 1024, 1, 1 ]
llama_model_loader: - tensor 705: blk.78.attn_v.weight q4_0 [ 8192, 1024, 1, 1 ]
llama_model_loader: - tensor 706: blk.78.attn_output.weight q4_0 [ 8192, 8192, 1, 1 ]
llama_model_loader: - tensor 707: blk.78.ffn_gate.weight q4_0 [ 8192, 28672, 1, 1 ]
llama_model_loader: - tensor 708: blk.78.ffn_up.weight q4_0 [ 8192, 28672, 1, 1 ]
llama_model_loader: - tensor 709: blk.78.ffn_down.weight q4_0 [ 28672, 8192, 1, 1 ]
llama_model_loader: - tensor 710: blk.78.attn_norm.weight f32 [ 8192, 1, 1, 1 ]
llama_model_loader: - tensor 711: blk.78.ffn_norm.weight f32 [ 8192, 1, 1, 1 ]
llama_model_loader: - tensor 712: blk.79.attn_q.weight q4_0 [ 8192, 8192, 1, 1 ]
llama_model_loader: - tensor 713: blk.79.attn_k.weight q4_0 [ 8192, 1024, 1, 1 ]
llama_model_loader: - tensor 714: blk.79.attn_v.weight q4_0 [ 8192, 1024, 1, 1 ]
llama_model_loader: - tensor 715: blk.79.attn_output.weight q4_0 [ 8192, 8192, 1, 1 ]
llama_model_loader: - tensor 716: blk.79.ffn_gate.weight q4_0 [ 8192, 28672, 1, 1 ]
llama_model_loader: - tensor 717: blk.79.ffn_up.weight q4_0 [ 8192, 28672, 1, 1 ]
llama_model_loader: - tensor 718: blk.79.ffn_down.weight q4_0 [ 28672, 8192, 1, 1 ]
llama_model_loader: - tensor 719: blk.79.attn_norm.weight f32 [ 8192, 1, 1, 1 ]
llama_model_loader: - tensor 720: blk.79.ffn_norm.weight f32 [ 8192, 1, 1, 1 ]
llama_model_loader: - tensor 721: output_norm.weight f32 [ 8192, 1, 1, 1 ]
llama_model_loader: - tensor 722: output.weight q6_K [ 8192, 32000, 1, 1 ]
llama_model_loader: - kv 0: general.architecture str
llama_model_loader: - kv 1: general.name str
llama_model_loader: - kv 2: llama.context_length u32
llama_model_loader: - kv 3: llama.embedding_length u32
llama_model_loader: - kv 4: llama.block_count u32
llama_model_loader: - kv 5: llama.feed_forward_length u32
llama_model_loader: - kv 6: llama.rope.dimension_count u32
llama_model_loader: - kv 7: llama.attention.head_count u32
llama_model_loader: - kv 8: llama.attention.head_count_kv u32
llama_model_loader: - kv 9: llama.attention.layer_norm_rms_epsilon f32
llama_model_loader: - kv 10: llama.rope.freq_base f32
llama_model_loader: - kv 11: general.file_type u32
llama_model_loader: - kv 12: tokenizer.ggml.model str
llama_model_loader: - kv 13: tokenizer.ggml.tokens arr
llama_model_loader: - kv 14: tokenizer.ggml.scores arr
llama_model_loader: - kv 15: tokenizer.ggml.token_type arr
llama_model_loader: - kv 16: tokenizer.ggml.bos_token_id u32
llama_model_loader: - kv 17: tokenizer.ggml.eos_token_id u32
llama_model_loader: - kv 18: tokenizer.ggml.unknown_token_id u32
llama_model_loader: - kv 19: general.quantization_version u32
llama_model_loader: - type f32: 161 tensors
llama_model_loader: - type q4_0: 561 tensors
llama_model_loader: - type q6_K: 1 tensors
llm_load_print_meta: format = GGUF V2 (latest)
llm_load_print_meta: arch = llama
llm_load_print_meta: vocab type = SPM
llm_load_print_meta: n_vocab = 32000
llm_load_print_meta: n_merges = 0
llm_load_print_meta: n_ctx_train = 4096
llm_load_print_meta: n_ctx = 4096
llm_load_print_meta: n_embd = 8192
llm_load_print_meta: n_head = 64
llm_load_print_meta: n_head_kv = 8
llm_load_print_meta: n_layer = 80
llm_load_print_meta: n_rot = 128
llm_load_print_meta: n_gqa = 8
llm_load_print_meta: f_norm_eps = 1.0e-05
llm_load_print_meta: f_norm_rms_eps = 1.0e-05
llm_load_print_meta: n_ff = 28672
llm_load_print_meta: freq_base = 10000.0
llm_load_print_meta: freq_scale = 1
llm_load_print_meta: model type = 70B
llm_load_print_meta: model ftype = mostly Q4_0
llm_load_print_meta: model size = 68.98 B
llm_load_print_meta: general.name = LLaMA v2
llm_load_print_meta: BOS token = 1 '<s>'
llm_load_print_meta: EOS token = 2 '</s>'
llm_load_print_meta: UNK token = 0 '<unk>'
llm_load_print_meta: LF token = 13 '<0x0A>'
llm_load_tensors: ggml ctx size = 0.23 MB
llm_load_tensors: using CUDA for GPU acceleration
llm_load_tensors: mem required = 37070.97 MB (+ 1280.00 MB per state)
llm_load_tensors: offloading 0 repeating layers to GPU
llm_load_tensors: offloaded 0/83 layers to GPU
llm_load_tensors: VRAM used: 0 MB
....................................................................................................
llama_new_context_with_model: kv self size = 1280.00 MB
llama_new_context_with_model: compute buffer total size = 561.47 MB
llama_new_context_with_model: VRAM scratch buffer: 560.00 MB
system_info: n_threads = 15 / 30 | AVX = 1 | AVX2 = 1 | AVX512 = 1 | AVX512_VBMI = 1 | AVX512_VNNI = 1 | FMA = 1 | NEON = 0 | ARM_FMA = 0 | F16C = 1 | FP16_VA = 0 | WASM_SIMD = 0 | BLAS = 1 | SSE3 = 1 | SSSE3 = 1 | VSX = 0 |
sampling: repeat_last_n = 64, repeat_penalty = 1.100000, presence_penalty = 0.000000, frequency_penalty = 0.000000, top_k = 40, tfs_z = 1.000000, top_p = 0.950000, typical_p = 1.000000, temp = 0.800000, mirostat = 0, mirostat_lr = 0.100000, mirostat_ent = 5.000000
generate: n_ctx = 4096, n_batch = 512, n_predict = 128, n_keep = 0
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