Taikono-Himazin
commented
11 months ago I will post the log in parts due to character limit.
Failure Logs
llama_model_loader: loaded meta data with 19 key-value pairs and 723 tensors from hf_downloads/japanese-stablelm-instruct-beta-70b.Q8_0.gguf (version GGUF V3 (latest))
llama_model_loader: - tensor 0: token_embd.weight q8_0 [ 8192, 32000, 1, 1 ]
llama_model_loader: - tensor 1: blk.0.attn_norm.weight f32 [ 8192, 1, 1, 1 ]
llama_model_loader: - tensor 2: blk.0.ffn_down.weight q8_0 [ 28672, 8192, 1, 1 ]
llama_model_loader: - tensor 3: blk.0.ffn_gate.weight q8_0 [ 8192, 28672, 1, 1 ]
llama_model_loader: - tensor 4: blk.0.ffn_up.weight q8_0 [ 8192, 28672, 1, 1 ]
llama_model_loader: - tensor 5: blk.0.ffn_norm.weight f32 [ 8192, 1, 1, 1 ]
llama_model_loader: - tensor 6: blk.0.attn_k.weight q8_0 [ 8192, 1024, 1, 1 ]
llama_model_loader: - tensor 7: blk.0.attn_output.weight q8_0 [ 8192, 8192, 1, 1 ]
llama_model_loader: - tensor 8: blk.0.attn_q.weight q8_0 [ 8192, 8192, 1, 1 ]
llama_model_loader: - tensor 9: blk.0.attn_v.weight q8_0 [ 8192, 1024, 1, 1 ]
llama_model_loader: - tensor 10: blk.1.attn_norm.weight f32 [ 8192, 1, 1, 1 ]
llama_model_loader: - tensor 11: blk.1.ffn_down.weight q8_0 [ 28672, 8192, 1, 1 ]
llama_model_loader: - tensor 12: blk.1.ffn_gate.weight q8_0 [ 8192, 28672, 1, 1 ]
llama_model_loader: - tensor 13: blk.1.ffn_up.weight q8_0 [ 8192, 28672, 1, 1 ]
llama_model_loader: - tensor 14: blk.1.ffn_norm.weight f32 [ 8192, 1, 1, 1 ]
llama_model_loader: - tensor 15: blk.1.attn_k.weight q8_0 [ 8192, 1024, 1, 1 ]
llama_model_loader: - tensor 16: blk.1.attn_output.weight q8_0 [ 8192, 8192, 1, 1 ]
llama_model_loader: - tensor 17: blk.1.attn_q.weight q8_0 [ 8192, 8192, 1, 1 ]
llama_model_loader: - tensor 18: blk.1.attn_v.weight q8_0 [ 8192, 1024, 1, 1 ]
llama_model_loader: - tensor 19: blk.2.attn_norm.weight f32 [ 8192, 1, 1, 1 ]
llama_model_loader: - tensor 20: blk.2.ffn_down.weight q8_0 [ 28672, 8192, 1, 1 ]
llama_model_loader: - tensor 21: blk.2.ffn_gate.weight q8_0 [ 8192, 28672, 1, 1 ]
llama_model_loader: - tensor 22: blk.2.ffn_up.weight q8_0 [ 8192, 28672, 1, 1 ]
llama_model_loader: - tensor 23: blk.2.ffn_norm.weight f32 [ 8192, 1, 1, 1 ]
llama_model_loader: - tensor 24: blk.2.attn_k.weight q8_0 [ 8192, 1024, 1, 1 ]
llama_model_loader: - tensor 25: blk.2.attn_output.weight q8_0 [ 8192, 8192, 1, 1 ]
llama_model_loader: - tensor 26: blk.2.attn_q.weight q8_0 [ 8192, 8192, 1, 1 ]
llama_model_loader: - tensor 27: blk.2.attn_v.weight q8_0 [ 8192, 1024, 1, 1 ]
llama_model_loader: - tensor 28: blk.3.attn_norm.weight f32 [ 8192, 1, 1, 1 ]
llama_model_loader: - tensor 29: blk.3.ffn_down.weight q8_0 [ 28672, 8192, 1, 1 ]
llama_model_loader: - tensor 30: blk.3.ffn_gate.weight q8_0 [ 8192, 28672, 1, 1 ]
llama_model_loader: - tensor 31: blk.3.ffn_up.weight q8_0 [ 8192, 28672, 1, 1 ]
llama_model_loader: - tensor 32: blk.3.ffn_norm.weight f32 [ 8192, 1, 1, 1 ]
llama_model_loader: - tensor 33: blk.3.attn_k.weight q8_0 [ 8192, 1024, 1, 1 ]
llama_model_loader: - tensor 34: blk.3.attn_output.weight q8_0 [ 8192, 8192, 1, 1 ]
llama_model_loader: - tensor 35: blk.3.attn_q.weight q8_0 [ 8192, 8192, 1, 1 ]
llama_model_loader: - tensor 36: blk.3.attn_v.weight q8_0 [ 8192, 1024, 1, 1 ]
llama_model_loader: - tensor 37: blk.4.attn_norm.weight f32 [ 8192, 1, 1, 1 ]
llama_model_loader: - tensor 38: blk.4.ffn_down.weight q8_0 [ 28672, 8192, 1, 1 ]
llama_model_loader: - tensor 39: blk.4.ffn_gate.weight q8_0 [ 8192, 28672, 1, 1 ]
llama_model_loader: - tensor 40: blk.4.ffn_up.weight q8_0 [ 8192, 28672, 1, 1 ]
llama_model_loader: - tensor 41: blk.4.ffn_norm.weight f32 [ 8192, 1, 1, 1 ]
llama_model_loader: - tensor 42: blk.4.attn_k.weight q8_0 [ 8192, 1024, 1, 1 ]
llama_model_loader: - tensor 43: blk.4.attn_output.weight q8_0 [ 8192, 8192, 1, 1 ]
llama_model_loader: - tensor 44: blk.4.attn_q.weight q8_0 [ 8192, 8192, 1, 1 ]
llama_model_loader: - tensor 45: blk.4.attn_v.weight q8_0 [ 8192, 1024, 1, 1 ]
llama_model_loader: - tensor 46: blk.5.ffn_gate.weight q8_0 [ 8192, 28672, 1, 1 ]
llama_model_loader: - tensor 47: blk.5.attn_k.weight q8_0 [ 8192, 1024, 1, 1 ]
llama_model_loader: - tensor 48: blk.5.attn_output.weight q8_0 [ 8192, 8192, 1, 1 ]
llama_model_loader: - tensor 49: blk.5.attn_q.weight q8_0 [ 8192, 8192, 1, 1 ]
llama_model_loader: - tensor 50: blk.5.attn_v.weight q8_0 [ 8192, 1024, 1, 1 ]
llama_model_loader: - tensor 51: blk.10.attn_norm.weight f32 [ 8192, 1, 1, 1 ]
llama_model_loader: - tensor 52: blk.10.ffn_down.weight q8_0 [ 28672, 8192, 1, 1 ]
llama_model_loader: - tensor 53: blk.10.ffn_gate.weight q8_0 [ 8192, 28672, 1, 1 ]
llama_model_loader: - tensor 54: blk.10.ffn_up.weight q8_0 [ 8192, 28672, 1, 1 ]
llama_model_loader: - tensor 55: blk.10.ffn_norm.weight f32 [ 8192, 1, 1, 1 ]
llama_model_loader: - tensor 56: blk.10.attn_k.weight q8_0 [ 8192, 1024, 1, 1 ]
llama_model_loader: - tensor 57: blk.10.attn_output.weight q8_0 [ 8192, 8192, 1, 1 ]
llama_model_loader: - tensor 58: blk.10.attn_q.weight q8_0 [ 8192, 8192, 1, 1 ]
llama_model_loader: - tensor 59: blk.10.attn_v.weight q8_0 [ 8192, 1024, 1, 1 ]
llama_model_loader: - tensor 60: blk.11.attn_k.weight q8_0 [ 8192, 1024, 1, 1 ]
llama_model_loader: - tensor 61: blk.11.attn_output.weight q8_0 [ 8192, 8192, 1, 1 ]
llama_model_loader: - tensor 62: blk.11.attn_q.weight q8_0 [ 8192, 8192, 1, 1 ]
llama_model_loader: - tensor 63: blk.11.attn_v.weight q8_0 [ 8192, 1024, 1, 1 ]
llama_model_loader: - tensor 64: blk.5.attn_norm.weight f32 [ 8192, 1, 1, 1 ]
llama_model_loader: - tensor 65: blk.5.ffn_down.weight q8_0 [ 28672, 8192, 1, 1 ]
llama_model_loader: - tensor 66: blk.5.ffn_up.weight q8_0 [ 8192, 28672, 1, 1 ]
llama_model_loader: - tensor 67: blk.5.ffn_norm.weight f32 [ 8192, 1, 1, 1 ]
llama_model_loader: - tensor 68: blk.6.attn_norm.weight f32 [ 8192, 1, 1, 1 ]
llama_model_loader: - tensor 69: blk.6.ffn_down.weight q8_0 [ 28672, 8192, 1, 1 ]
llama_model_loader: - tensor 70: blk.6.ffn_gate.weight q8_0 [ 8192, 28672, 1, 1 ]
llama_model_loader: - tensor 71: blk.6.ffn_up.weight q8_0 [ 8192, 28672, 1, 1 ]
llama_model_loader: - tensor 72: blk.6.ffn_norm.weight f32 [ 8192, 1, 1, 1 ]
llama_model_loader: - tensor 73: blk.6.attn_k.weight q8_0 [ 8192, 1024, 1, 1 ]
llama_model_loader: - tensor 74: blk.6.attn_output.weight q8_0 [ 8192, 8192, 1, 1 ]
llama_model_loader: - tensor 75: blk.6.attn_q.weight q8_0 [ 8192, 8192, 1, 1 ]
llama_model_loader: - tensor 76: blk.6.attn_v.weight q8_0 [ 8192, 1024, 1, 1 ]
llama_model_loader: - tensor 77: blk.7.attn_norm.weight f32 [ 8192, 1, 1, 1 ]
llama_model_loader: - tensor 78: blk.7.ffn_down.weight q8_0 [ 28672, 8192, 1, 1 ]
llama_model_loader: - tensor 79: blk.7.ffn_gate.weight q8_0 [ 8192, 28672, 1, 1 ]
llama_model_loader: - tensor 80: blk.7.ffn_up.weight q8_0 [ 8192, 28672, 1, 1 ]
llama_model_loader: - tensor 81: blk.7.ffn_norm.weight f32 [ 8192, 1, 1, 1 ]
llama_model_loader: - tensor 82: blk.7.attn_k.weight q8_0 [ 8192, 1024, 1, 1 ]
llama_model_loader: - tensor 83: blk.7.attn_output.weight q8_0 [ 8192, 8192, 1, 1 ]
llama_model_loader: - tensor 84: blk.7.attn_q.weight q8_0 [ 8192, 8192, 1, 1 ]
llama_model_loader: - tensor 85: blk.7.attn_v.weight q8_0 [ 8192, 1024, 1, 1 ]
llama_model_loader: - tensor 86: blk.8.attn_norm.weight f32 [ 8192, 1, 1, 1 ]
llama_model_loader: - tensor 87: blk.8.ffn_down.weight q8_0 [ 28672, 8192, 1, 1 ]
llama_model_loader: - tensor 88: blk.8.ffn_gate.weight q8_0 [ 8192, 28672, 1, 1 ]
llama_model_loader: - tensor 89: blk.8.ffn_up.weight q8_0 [ 8192, 28672, 1, 1 ]
llama_model_loader: - tensor 90: blk.8.ffn_norm.weight f32 [ 8192, 1, 1, 1 ]
llama_model_loader: - tensor 91: blk.8.attn_k.weight q8_0 [ 8192, 1024, 1, 1 ]
llama_model_loader: - tensor 92: blk.8.attn_output.weight q8_0 [ 8192, 8192, 1, 1 ]
llama_model_loader: - tensor 93: blk.8.attn_q.weight q8_0 [ 8192, 8192, 1, 1 ]
llama_model_loader: - tensor 94: blk.8.attn_v.weight q8_0 [ 8192, 1024, 1, 1 ]
llama_model_loader: - tensor 95: blk.9.attn_norm.weight f32 [ 8192, 1, 1, 1 ]
llama_model_loader: - tensor 96: blk.9.ffn_down.weight q8_0 [ 28672, 8192, 1, 1 ]
llama_model_loader: - tensor 97: blk.9.ffn_gate.weight q8_0 [ 8192, 28672, 1, 1 ]
llama_model_loader: - tensor 98: blk.9.ffn_up.weight q8_0 [ 8192, 28672, 1, 1 ]
llama_model_loader: - tensor 99: blk.9.ffn_norm.weight f32 [ 8192, 1, 1, 1 ]
llama_model_loader: - tensor 100: blk.9.attn_k.weight q8_0 [ 8192, 1024, 1, 1 ]
llama_model_loader: - tensor 101: blk.9.attn_output.weight q8_0 [ 8192, 8192, 1, 1 ]
llama_model_loader: - tensor 102: blk.9.attn_q.weight q8_0 [ 8192, 8192, 1, 1 ]
llama_model_loader: - tensor 103: blk.9.attn_v.weight q8_0 [ 8192, 1024, 1, 1 ]
llama_model_loader: - tensor 104: blk.11.attn_norm.weight f32 [ 8192, 1, 1, 1 ]
llama_model_loader: - tensor 105: blk.11.ffn_down.weight q8_0 [ 28672, 8192, 1, 1 ]
llama_model_loader: - tensor 106: blk.11.ffn_gate.weight q8_0 [ 8192, 28672, 1, 1 ]
llama_model_loader: - tensor 107: blk.11.ffn_up.weight q8_0 [ 8192, 28672, 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_norm.weight f32 [ 8192, 1, 1, 1 ]
llama_model_loader: - tensor 110: blk.12.ffn_down.weight q8_0 [ 28672, 8192, 1, 1 ]
llama_model_loader: - tensor 111: blk.12.ffn_gate.weight q8_0 [ 8192, 28672, 1, 1 ]
llama_model_loader: - tensor 112: blk.12.ffn_up.weight q8_0 [ 8192, 28672, 1, 1 ]
llama_model_loader: - tensor 113: blk.12.ffn_norm.weight f32 [ 8192, 1, 1, 1 ]
llama_model_loader: - tensor 114: blk.12.attn_k.weight q8_0 [ 8192, 1024, 1, 1 ]
llama_model_loader: - tensor 115: blk.12.attn_output.weight q8_0 [ 8192, 8192, 1, 1 ]
llama_model_loader: - tensor 116: blk.12.attn_q.weight q8_0 [ 8192, 8192, 1, 1 ]
llama_model_loader: - tensor 117: blk.12.attn_v.weight q8_0 [ 8192, 1024, 1, 1 ]
llama_model_loader: - tensor 118: blk.13.attn_norm.weight f32 [ 8192, 1, 1, 1 ]
llama_model_loader: - tensor 119: blk.13.ffn_down.weight q8_0 [ 28672, 8192, 1, 1 ]
llama_model_loader: - tensor 120: blk.13.ffn_gate.weight q8_0 [ 8192, 28672, 1, 1 ]
llama_model_loader: - tensor 121: blk.13.ffn_up.weight q8_0 [ 8192, 28672, 1, 1 ]
llama_model_loader: - tensor 122: blk.13.ffn_norm.weight f32 [ 8192, 1, 1, 1 ]
llama_model_loader: - tensor 123: blk.13.attn_k.weight q8_0 [ 8192, 1024, 1, 1 ]
llama_model_loader: - tensor 124: blk.13.attn_output.weight q8_0 [ 8192, 8192, 1, 1 ]
llama_model_loader: - tensor 125: blk.13.attn_q.weight q8_0 [ 8192, 8192, 1, 1 ]
llama_model_loader: - tensor 126: blk.13.attn_v.weight q8_0 [ 8192, 1024, 1, 1 ]
llama_model_loader: - tensor 127: blk.14.attn_norm.weight f32 [ 8192, 1, 1, 1 ]
llama_model_loader: - tensor 128: blk.14.ffn_down.weight q8_0 [ 28672, 8192, 1, 1 ]
llama_model_loader: - tensor 129: blk.14.ffn_gate.weight q8_0 [ 8192, 28672, 1, 1 ]
llama_model_loader: - tensor 130: blk.14.ffn_up.weight q8_0 [ 8192, 28672, 1, 1 ]
llama_model_loader: - tensor 131: blk.14.ffn_norm.weight f32 [ 8192, 1, 1, 1 ]
llama_model_loader: - tensor 132: blk.14.attn_k.weight q8_0 [ 8192, 1024, 1, 1 ]
llama_model_loader: - tensor 133: blk.14.attn_output.weight q8_0 [ 8192, 8192, 1, 1 ]
llama_model_loader: - tensor 134: blk.14.attn_q.weight q8_0 [ 8192, 8192, 1, 1 ]
llama_model_loader: - tensor 135: blk.14.attn_v.weight q8_0 [ 8192, 1024, 1, 1 ]
llama_model_loader: - tensor 136: blk.15.attn_norm.weight f32 [ 8192, 1, 1, 1 ]
llama_model_loader: - tensor 137: blk.15.ffn_down.weight q8_0 [ 28672, 8192, 1, 1 ]
llama_model_loader: - tensor 138: blk.15.ffn_gate.weight q8_0 [ 8192, 28672, 1, 1 ]
llama_model_loader: - tensor 139: blk.15.ffn_up.weight q8_0 [ 8192, 28672, 1, 1 ]
llama_model_loader: - tensor 140: blk.15.ffn_norm.weight f32 [ 8192, 1, 1, 1 ]
llama_model_loader: - tensor 141: blk.15.attn_k.weight q8_0 [ 8192, 1024, 1, 1 ]
llama_model_loader: - tensor 142: blk.15.attn_output.weight q8_0 [ 8192, 8192, 1, 1 ]
llama_model_loader: - tensor 143: blk.15.attn_q.weight q8_0 [ 8192, 8192, 1, 1 ]
llama_model_loader: - tensor 144: blk.15.attn_v.weight q8_0 [ 8192, 1024, 1, 1 ]
llama_model_loader: - tensor 145: blk.16.attn_norm.weight f32 [ 8192, 1, 1, 1 ]
llama_model_loader: - tensor 146: blk.16.ffn_down.weight q8_0 [ 28672, 8192, 1, 1 ]
llama_model_loader: - tensor 147: blk.16.ffn_gate.weight q8_0 [ 8192, 28672, 1, 1 ]
llama_model_loader: - tensor 148: blk.16.ffn_up.weight q8_0 [ 8192, 28672, 1, 1 ]
llama_model_loader: - tensor 149: blk.16.ffn_norm.weight f32 [ 8192, 1, 1, 1 ]
llama_model_loader: - tensor 150: blk.16.attn_k.weight q8_0 [ 8192, 1024, 1, 1 ]
llama_model_loader: - tensor 151: blk.16.attn_output.weight q8_0 [ 8192, 8192, 1, 1 ]
llama_model_loader: - tensor 152: blk.16.attn_q.weight q8_0 [ 8192, 8192, 1, 1 ]
llama_model_loader: - tensor 153: blk.16.attn_v.weight q8_0 [ 8192, 1024, 1, 1 ]
llama_model_loader: - tensor 154: blk.17.attn_norm.weight f32 [ 8192, 1, 1, 1 ]
llama_model_loader: - tensor 155: blk.17.ffn_down.weight q8_0 [ 28672, 8192, 1, 1 ]
llama_model_loader: - tensor 156: blk.17.ffn_gate.weight q8_0 [ 8192, 28672, 1, 1 ]
llama_model_loader: - tensor 157: blk.17.ffn_up.weight q8_0 [ 8192, 28672, 1, 1 ]
llama_model_loader: - tensor 158: blk.17.ffn_norm.weight f32 [ 8192, 1, 1, 1 ]
llama_model_loader: - tensor 159: blk.17.attn_k.weight q8_0 [ 8192, 1024, 1, 1 ]
llama_model_loader: - tensor 160: blk.17.attn_output.weight q8_0 [ 8192, 8192, 1, 1 ]
llama_model_loader: - tensor 161: blk.17.attn_q.weight q8_0 [ 8192, 8192, 1, 1 ]
llama_model_loader: - tensor 162: blk.17.attn_v.weight q8_0 [ 8192, 1024, 1, 1 ]
llama_model_loader: - tensor 163: blk.18.attn_norm.weight f32 [ 8192, 1, 1, 1 ]
llama_model_loader: - tensor 164: blk.18.ffn_down.weight q8_0 [ 28672, 8192, 1, 1 ]
llama_model_loader: - tensor 165: blk.18.ffn_gate.weight q8_0 [ 8192, 28672, 1, 1 ]
llama_model_loader: - tensor 166: blk.18.ffn_up.weight q8_0 [ 8192, 28672, 1, 1 ]
llama_model_loader: - tensor 167: blk.18.ffn_norm.weight f32 [ 8192, 1, 1, 1 ]
llama_model_loader: - tensor 168: blk.18.attn_k.weight q8_0 [ 8192, 1024, 1, 1 ]
llama_model_loader: - tensor 169: blk.18.attn_output.weight q8_0 [ 8192, 8192, 1, 1 ]
llama_model_loader: - tensor 170: blk.18.attn_q.weight q8_0 [ 8192, 8192, 1, 1 ]
llama_model_loader: - tensor 171: blk.18.attn_v.weight q8_0 [ 8192, 1024, 1, 1 ]
llama_model_loader: - tensor 172: blk.19.attn_norm.weight f32 [ 8192, 1, 1, 1 ]
llama_model_loader: - tensor 173: blk.19.ffn_down.weight q8_0 [ 28672, 8192, 1, 1 ]
llama_model_loader: - tensor 174: blk.19.ffn_gate.weight q8_0 [ 8192, 28672, 1, 1 ]
llama_model_loader: - tensor 175: blk.19.ffn_up.weight q8_0 [ 8192, 28672, 1, 1 ]
llama_model_loader: - tensor 176: blk.19.ffn_norm.weight f32 [ 8192, 1, 1, 1 ]
llama_model_loader: - tensor 177: blk.19.attn_k.weight q8_0 [ 8192, 1024, 1, 1 ]
llama_model_loader: - tensor 178: blk.19.attn_output.weight q8_0 [ 8192, 8192, 1, 1 ]
llama_model_loader: - tensor 179: blk.19.attn_q.weight q8_0 [ 8192, 8192, 1, 1 ]
llama_model_loader: - tensor 180: blk.19.attn_v.weight q8_0 [ 8192, 1024, 1, 1 ]
llama_model_loader: - tensor 181: blk.20.attn_norm.weight f32 [ 8192, 1, 1, 1 ]
llama_model_loader: - tensor 182: blk.20.ffn_down.weight q8_0 [ 28672, 8192, 1, 1 ]
llama_model_loader: - tensor 183: blk.20.ffn_gate.weight q8_0 [ 8192, 28672, 1, 1 ]
llama_model_loader: - tensor 184: blk.20.ffn_up.weight q8_0 [ 8192, 28672, 1, 1 ]
llama_model_loader: - tensor 185: blk.20.ffn_norm.weight f32 [ 8192, 1, 1, 1 ]
llama_model_loader: - tensor 186: blk.20.attn_k.weight q8_0 [ 8192, 1024, 1, 1 ]
llama_model_loader: - tensor 187: blk.20.attn_output.weight q8_0 [ 8192, 8192, 1, 1 ]
llama_model_loader: - tensor 188: blk.20.attn_q.weight q8_0 [ 8192, 8192, 1, 1 ]
llama_model_loader: - tensor 189: blk.20.attn_v.weight q8_0 [ 8192, 1024, 1, 1 ]
llama_model_loader: - tensor 190: blk.21.attn_norm.weight f32 [ 8192, 1, 1, 1 ]
llama_model_loader: - tensor 191: blk.21.ffn_down.weight q8_0 [ 28672, 8192, 1, 1 ]
llama_model_loader: - tensor 192: blk.21.ffn_gate.weight q8_0 [ 8192, 28672, 1, 1 ]
llama_model_loader: - tensor 193: blk.21.ffn_up.weight q8_0 [ 8192, 28672, 1, 1 ]
llama_model_loader: - tensor 194: blk.21.ffn_norm.weight f32 [ 8192, 1, 1, 1 ]
llama_model_loader: - tensor 195: blk.21.attn_k.weight q8_0 [ 8192, 1024, 1, 1 ]
llama_model_loader: - tensor 196: blk.21.attn_output.weight q8_0 [ 8192, 8192, 1, 1 ]
llama_model_loader: - tensor 197: blk.21.attn_q.weight q8_0 [ 8192, 8192, 1, 1 ]
llama_model_loader: - tensor 198: blk.21.attn_v.weight q8_0 [ 8192, 1024, 1, 1 ]
llama_model_loader: - tensor 199: blk.22.ffn_gate.weight q8_0 [ 8192, 28672, 1, 1 ]
llama_model_loader: - tensor 200: blk.22.ffn_up.weight q8_0 [ 8192, 28672, 1, 1 ]
llama_model_loader: - tensor 201: blk.22.attn_k.weight q8_0 [ 8192, 1024, 1, 1 ]
llama_model_loader: - tensor 202: blk.22.attn_output.weight q8_0 [ 8192, 8192, 1, 1 ]
llama_model_loader: - tensor 203: blk.22.attn_q.weight q8_0 [ 8192, 8192, 1, 1 ]
llama_model_loader: - tensor 204: blk.22.attn_v.weight q8_0 [ 8192, 1024, 1, 1 ]
llama_model_loader: - tensor 205: blk.22.attn_norm.weight f32 [ 8192, 1, 1, 1 ]
llama_model_loader: - tensor 206: blk.22.ffn_down.weight q8_0 [ 28672, 8192, 1, 1 ]
llama_model_loader: - tensor 207: blk.22.ffn_norm.weight f32 [ 8192, 1, 1, 1 ]
llama_model_loader: - tensor 208: blk.23.attn_norm.weight f32 [ 8192, 1, 1, 1 ]
llama_model_loader: - tensor 209: blk.23.ffn_down.weight q8_0 [ 28672, 8192, 1, 1 ]
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llama_model_loader: - tensor 635: blk.70.ffn_norm.weight f32 [ 8192, 1, 1, 1 ]
llama_model_loader: - tensor 636: blk.70.attn_k.weight q8_0 [ 8192, 1024, 1, 1 ]
llama_model_loader: - tensor 637: blk.70.attn_output.weight q8_0 [ 8192, 8192, 1, 1 ]
llama_model_loader: - tensor 638: blk.70.attn_q.weight q8_0 [ 8192, 8192, 1, 1 ]
llama_model_loader: - tensor 639: blk.70.attn_v.weight q8_0 [ 8192, 1024, 1, 1 ]
llama_model_loader: - tensor 640: blk.71.attn_norm.weight f32 [ 8192, 1, 1, 1 ]
llama_model_loader: - tensor 641: blk.71.ffn_down.weight q8_0 [ 28672, 8192, 1, 1 ]
llama_model_loader: - tensor 642: blk.71.ffn_gate.weight q8_0 [ 8192, 28672, 1, 1 ]
llama_model_loader: - tensor 643: blk.71.ffn_up.weight q8_0 [ 8192, 28672, 1, 1 ]
llama_model_loader: - tensor 644: blk.71.ffn_norm.weight f32 [ 8192, 1, 1, 1 ]
llama_model_loader: - tensor 645: blk.71.attn_k.weight q8_0 [ 8192, 1024, 1, 1 ]
llama_model_loader: - tensor 646: blk.71.attn_output.weight q8_0 [ 8192, 8192, 1, 1 ]
llama_model_loader: - tensor 647: blk.71.attn_q.weight q8_0 [ 8192, 8192, 1, 1 ]
llama_model_loader: - tensor 648: blk.71.attn_v.weight q8_0 [ 8192, 1024, 1, 1 ]
llama_model_loader: - tensor 649: blk.72.attn_norm.weight f32 [ 8192, 1, 1, 1 ]
llama_model_loader: - tensor 650: blk.72.ffn_down.weight q8_0 [ 28672, 8192, 1, 1 ]
llama_model_loader: - tensor 651: blk.72.ffn_gate.weight q8_0 [ 8192, 28672, 1, 1 ]
llama_model_loader: - tensor 652: blk.72.ffn_up.weight q8_0 [ 8192, 28672, 1, 1 ]
llama_model_loader: - tensor 653: blk.72.ffn_norm.weight f32 [ 8192, 1, 1, 1 ]
llama_model_loader: - tensor 654: blk.72.attn_k.weight q8_0 [ 8192, 1024, 1, 1 ]
llama_model_loader: - tensor 655: blk.72.attn_output.weight q8_0 [ 8192, 8192, 1, 1 ]
llama_model_loader: - tensor 656: blk.72.attn_q.weight q8_0 [ 8192, 8192, 1, 1 ]
llama_model_loader: - tensor 657: blk.72.attn_v.weight q8_0 [ 8192, 1024, 1, 1 ]
llama_model_loader: - tensor 658: blk.73.attn_norm.weight f32 [ 8192, 1, 1, 1 ]
llama_model_loader: - tensor 659: blk.73.ffn_down.weight q8_0 [ 28672, 8192, 1, 1 ]
llama_model_loader: - tensor 660: blk.73.ffn_gate.weight q8_0 [ 8192, 28672, 1, 1 ]
llama_model_loader: - tensor 661: blk.73.ffn_up.weight q8_0 [ 8192, 28672, 1, 1 ]
llama_model_loader: - tensor 662: blk.73.ffn_norm.weight f32 [ 8192, 1, 1, 1 ]
llama_model_loader: - tensor 663: blk.73.attn_k.weight q8_0 [ 8192, 1024, 1, 1 ]
llama_model_loader: - tensor 664: blk.73.attn_output.weight q8_0 [ 8192, 8192, 1, 1 ]
llama_model_loader: - tensor 665: blk.73.attn_q.weight q8_0 [ 8192, 8192, 1, 1 ]
llama_model_loader: - tensor 666: blk.73.attn_v.weight q8_0 [ 8192, 1024, 1, 1 ]
llama_model_loader: - tensor 667: blk.74.ffn_gate.weight q8_0 [ 8192, 28672, 1, 1 ]
llama_model_loader: - tensor 668: blk.74.attn_k.weight q8_0 [ 8192, 1024, 1, 1 ]
llama_model_loader: - tensor 669: blk.74.attn_output.weight q8_0 [ 8192, 8192, 1, 1 ]
llama_model_loader: - tensor 670: blk.74.attn_q.weight q8_0 [ 8192, 8192, 1, 1 ]
llama_model_loader: - tensor 671: blk.74.attn_v.weight q8_0 [ 8192, 1024, 1, 1 ]
llama_model_loader: - tensor 672: blk.74.attn_norm.weight f32 [ 8192, 1, 1, 1 ]
llama_model_loader: - tensor 673: blk.74.ffn_down.weight q8_0 [ 28672, 8192, 1, 1 ]
llama_model_loader: - tensor 674: blk.74.ffn_up.weight q8_0 [ 8192, 28672, 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_norm.weight f32 [ 8192, 1, 1, 1 ]
llama_model_loader: - tensor 677: blk.75.ffn_down.weight q8_0 [ 28672, 8192, 1, 1 ]
llama_model_loader: - tensor 678: blk.75.ffn_gate.weight q8_0 [ 8192, 28672, 1, 1 ]
llama_model_loader: - tensor 679: blk.75.ffn_up.weight q8_0 [ 8192, 28672, 1, 1 ]
llama_model_loader: - tensor 680: blk.75.ffn_norm.weight f32 [ 8192, 1, 1, 1 ]
llama_model_loader: - tensor 681: blk.75.attn_k.weight q8_0 [ 8192, 1024, 1, 1 ]
llama_model_loader: - tensor 682: blk.75.attn_output.weight q8_0 [ 8192, 8192, 1, 1 ]
llama_model_loader: - tensor 683: blk.75.attn_q.weight q8_0 [ 8192, 8192, 1, 1 ]
llama_model_loader: - tensor 684: blk.75.attn_v.weight q8_0 [ 8192, 1024, 1, 1 ]
llama_model_loader: - tensor 685: blk.76.attn_norm.weight f32 [ 8192, 1, 1, 1 ]
llama_model_loader: - tensor 686: blk.76.ffn_down.weight q8_0 [ 28672, 8192, 1, 1 ]
llama_model_loader: - tensor 687: blk.76.ffn_gate.weight q8_0 [ 8192, 28672, 1, 1 ]
llama_model_loader: - tensor 688: blk.76.ffn_up.weight q8_0 [ 8192, 28672, 1, 1 ]
llama_model_loader: - tensor 689: blk.76.ffn_norm.weight f32 [ 8192, 1, 1, 1 ]
llama_model_loader: - tensor 690: blk.76.attn_k.weight q8_0 [ 8192, 1024, 1, 1 ]
llama_model_loader: - tensor 691: blk.76.attn_output.weight q8_0 [ 8192, 8192, 1, 1 ]
llama_model_loader: - tensor 692: blk.76.attn_q.weight q8_0 [ 8192, 8192, 1, 1 ]
llama_model_loader: - tensor 693: blk.76.attn_v.weight q8_0 [ 8192, 1024, 1, 1 ]
llama_model_loader: - tensor 694: blk.77.attn_norm.weight f32 [ 8192, 1, 1, 1 ]
llama_model_loader: - tensor 695: blk.77.ffn_down.weight q8_0 [ 28672, 8192, 1, 1 ]
llama_model_loader: - tensor 696: blk.77.ffn_gate.weight q8_0 [ 8192, 28672, 1, 1 ]
llama_model_loader: - tensor 697: blk.77.ffn_up.weight q8_0 [ 8192, 28672, 1, 1 ]
llama_model_loader: - tensor 698: blk.77.ffn_norm.weight f32 [ 8192, 1, 1, 1 ]
llama_model_loader: - tensor 699: blk.77.attn_k.weight q8_0 [ 8192, 1024, 1, 1 ]
llama_model_loader: - tensor 700: blk.77.attn_output.weight q8_0 [ 8192, 8192, 1, 1 ]
llama_model_loader: - tensor 701: blk.77.attn_q.weight q8_0 [ 8192, 8192, 1, 1 ]
llama_model_loader: - tensor 702: blk.77.attn_v.weight q8_0 [ 8192, 1024, 1, 1 ]
llama_model_loader: - tensor 703: blk.78.attn_norm.weight f32 [ 8192, 1, 1, 1 ]
llama_model_loader: - tensor 704: blk.78.ffn_down.weight q8_0 [ 28672, 8192, 1, 1 ]
llama_model_loader: - tensor 705: blk.78.ffn_gate.weight q8_0 [ 8192, 28672, 1, 1 ]
llama_model_loader: - tensor 706: blk.78.ffn_up.weight q8_0 [ 8192, 28672, 1, 1 ]
llama_model_loader: - tensor 707: blk.78.ffn_norm.weight f32 [ 8192, 1, 1, 1 ]
llama_model_loader: - tensor 708: blk.78.attn_k.weight q8_0 [ 8192, 1024, 1, 1 ]
llama_model_loader: - tensor 709: blk.78.attn_output.weight q8_0 [ 8192, 8192, 1, 1 ]
llama_model_loader: - tensor 710: blk.78.attn_q.weight q8_0 [ 8192, 8192, 1, 1 ]
llama_model_loader: - tensor 711: blk.78.attn_v.weight q8_0 [ 8192, 1024, 1, 1 ]
llama_model_loader: - tensor 712: blk.79.attn_norm.weight f32 [ 8192, 1, 1, 1 ]
llama_model_loader: - tensor 713: blk.79.ffn_down.weight q8_0 [ 28672, 8192, 1, 1 ]
llama_model_loader: - tensor 714: blk.79.ffn_gate.weight q8_0 [ 8192, 28672, 1, 1 ]
llama_model_loader: - tensor 715: blk.79.ffn_up.weight q8_0 [ 8192, 28672, 1, 1 ]
llama_model_loader: - tensor 716: blk.79.ffn_norm.weight f32 [ 8192, 1, 1, 1 ]
llama_model_loader: - tensor 717: blk.79.attn_k.weight q8_0 [ 8192, 1024, 1, 1 ]
llama_model_loader: - tensor 718: blk.79.attn_output.weight q8_0 [ 8192, 8192, 1, 1 ]
llama_model_loader: - tensor 719: blk.79.attn_q.weight q8_0 [ 8192, 8192, 1, 1 ]
llama_model_loader: - tensor 720: blk.79.attn_v.weight q8_0 [ 8192, 1024, 1, 1 ]
llama_model_loader: - tensor 721: output_norm.weight f32 [ 8192, 1, 1, 1 ]
llama_model_loader: - tensor 722: output.weight q8_0 [ 8192, 32000, 1, 1 ]
llama_model_loader: - kv 0: general.architecture str = llama
llama_model_loader: - kv 1: general.name str = LLaMA v2
llama_model_loader: - kv 2: llama.context_length u32 = 4096
llama_model_loader: - kv 3: llama.embedding_length u32 = 8192
llama_model_loader: - kv 4: llama.block_count u32 = 80
llama_model_loader: - kv 5: llama.feed_forward_length u32 = 28672
llama_model_loader: - kv 6: llama.rope.dimension_count u32 = 128
llama_model_loader: - kv 7: llama.attention.head_count u32 = 64
llama_model_loader: - kv 8: llama.attention.head_count_kv u32 = 8
llama_model_loader: - kv 9: llama.attention.layer_norm_rms_epsilon f32 = 0.000010
llama_model_loader: - kv 10: general.file_type u32 = 7
llama_model_loader: - kv 11: tokenizer.ggml.model str = llama
llama_model_loader: - kv 12: tokenizer.ggml.tokens arr[str,32000] = ["<unk>", "<s>", "</s>", "<0x00>", "<...
llama_model_loader: - kv 13: tokenizer.ggml.scores arr[f32,32000] = [0.000000, 0.000000, 0.000000, 0.0000...
llama_model_loader: - kv 14: tokenizer.ggml.token_type arr[i32,32000] = [2, 3, 3, 6, 6, 6, 6, 6, 6, 6, 6, 6, ...
llama_model_loader: - kv 15: tokenizer.ggml.bos_token_id u32 = 1
llama_model_loader: - kv 16: tokenizer.ggml.eos_token_id u32 = 2
llama_model_loader: - kv 17: tokenizer.ggml.unknown_token_id u32 = 0
llama_model_loader: - kv 18: general.quantization_version u32 = 2
llama_model_loader: - type f32: 161 tensors
llama_model_loader: - type q8_0: 562 tensors
llm_load_vocab: special tokens definition check successful ( 259/32000 ).
llm_load_print_meta: format = GGUF V3 (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_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 = 0.0e+00
llm_load_print_meta: f_norm_rms_eps = 1.0e-05
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 = 28672
llm_load_print_meta: rope scaling = linear
llm_load_print_meta: freq_base_train = 10000.0
llm_load_print_meta: freq_scale_train = 1
llm_load_print_meta: n_yarn_orig_ctx = 4096
llm_load_print_meta: rope_finetuned = unknown
llm_load_print_meta: model type = 70B
llm_load_print_meta: model ftype = mostly Q8_0
llm_load_print_meta: model params = 68.98 B
llm_load_print_meta: model size = 68.26 GiB (8.50 BPW)
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 = 0.26 MiB
llm_load_tensors: mem required = 69896.55 MiB
....................................................................................................
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 = 160.00 MiB
llama_build_graph: non-view tensors processed: 1684/1684
llama_new_context_with_model: compute buffer total size = 148.07 MiB
GGML_ASSERT: ggml.c:16911: np < GGML_MAX_PARAMS
zsh: abort ./finetune --model-base --checkpoint-out emploee_list-ITERATION.gguf 10
yanghoonkim
slaren
xaedes
Prerequisites
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Expected Behavior
finetuningLlama 2 70B should succeed.Current Behavior
finetuningLlama 2 70B fails withEnvironment and Context
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Failure Information (for bugs)
Please help provide information about the failure / bug.
Steps to Reproduce
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Doing so will result in an error.
It worked fine in 7b model, so it seems to be an error that occurs as the scale increases. What does this limit mean? What happens if you increase the number?
I thought this problem was related, but it seems like it's a different error.
Thank you!