[BUG] ERROR: byte not found in vocab: #2061
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Pre-check
Description
`D:\privateGPT>make run
poetry run python -m private_gpt
17:57:49.060 [INFO ] private_gpt.settings.settings_loader - Starting application with profiles=['default', 'local']
17:58:23.851 [INFO ] private_gpt.components.llm.llm_component - Initializing the LLM in mode=llamacpp
ggml_init_cublas: found 1 CUDA devices:
Device 0: NVIDIA GeForce RTX 3060, compute capability 8.6
llama_model_loader: loaded meta data with 33 key-value pairs and 292 tensors from D:\privateGPT\models\Meta-Llama-3.1-8B-Instruct-Q4_K_M.gguf (version unknown)
llama_model_loader: - tensor 0: rope_freqs.weight f32 [ 64, 1, 1, 1 ]
llama_model_loader: - tensor 1: token_embd.weight q4_K [ 4096, 128256, 1, 1 ]
llama_model_loader: - tensor 2: blk.0.attn_norm.weight f32 [ 4096, 1, 1, 1 ]
llama_model_loader: - tensor 3: blk.0.ffn_down.weight q6_K [ 14336, 4096, 1, 1 ]
llama_model_loader: - tensor 4: blk.0.ffn_gate.weight q4_K [ 4096, 14336, 1, 1 ]
llama_model_loader: - tensor 5: blk.0.ffn_up.weight q4_K [ 4096, 14336, 1, 1 ]
llama_model_loader: - tensor 6: blk.0.ffn_norm.weight f32 [ 4096, 1, 1, 1 ]
llama_model_loader: - tensor 7: blk.0.attn_k.weight q4_K [ 4096, 1024, 1, 1 ]
llama_model_loader: - tensor 8: blk.0.attn_output.weight q4_K [ 4096, 4096, 1, 1 ]
llama_model_loader: - tensor 9: blk.0.attn_q.weight q4_K [ 4096, 4096, 1, 1 ]
llama_model_loader: - tensor 10: blk.0.attn_v.weight q6_K [ 4096, 1024, 1, 1 ]
llama_model_loader: - tensor 11: blk.1.attn_norm.weight f32 [ 4096, 1, 1, 1 ]
llama_model_loader: - tensor 12: blk.1.ffn_down.weight q6_K [ 14336, 4096, 1, 1 ]
llama_model_loader: - tensor 13: blk.1.ffn_gate.weight q4_K [ 4096, 14336, 1, 1 ]
llama_model_loader: - tensor 14: blk.1.ffn_up.weight q4_K [ 4096, 14336, 1, 1 ]
llama_model_loader: - tensor 15: blk.1.ffn_norm.weight f32 [ 4096, 1, 1, 1 ]
llama_model_loader: - tensor 16: blk.1.attn_k.weight q4_K [ 4096, 1024, 1, 1 ]
llama_model_loader: - tensor 17: blk.1.attn_output.weight q4_K [ 4096, 4096, 1, 1 ]
llama_model_loader: - tensor 18: blk.1.attn_q.weight q4_K [ 4096, 4096, 1, 1 ]
llama_model_loader: - tensor 19: blk.1.attn_v.weight q6_K [ 4096, 1024, 1, 1 ]
llama_model_loader: - tensor 20: blk.2.attn_norm.weight f32 [ 4096, 1, 1, 1 ]
llama_model_loader: - tensor 21: blk.2.ffn_down.weight q6_K [ 14336, 4096, 1, 1 ]
llama_model_loader: - tensor 22: blk.2.ffn_gate.weight q4_K [ 4096, 14336, 1, 1 ]
llama_model_loader: - tensor 23: blk.2.ffn_up.weight q4_K [ 4096, 14336, 1, 1 ]
llama_model_loader: - tensor 24: blk.2.ffn_norm.weight f32 [ 4096, 1, 1, 1 ]
llama_model_loader: - tensor 25: blk.2.attn_k.weight q4_K [ 4096, 1024, 1, 1 ]
llama_model_loader: - tensor 26: blk.2.attn_output.weight q4_K [ 4096, 4096, 1, 1 ]
llama_model_loader: - tensor 27: blk.2.attn_q.weight q4_K [ 4096, 4096, 1, 1 ]
llama_model_loader: - tensor 28: blk.2.attn_v.weight q6_K [ 4096, 1024, 1, 1 ]
llama_model_loader: - tensor 29: blk.3.attn_norm.weight f32 [ 4096, 1, 1, 1 ]
llama_model_loader: - tensor 30: blk.3.ffn_down.weight q6_K [ 14336, 4096, 1, 1 ]
llama_model_loader: - tensor 31: blk.3.ffn_gate.weight q4_K [ 4096, 14336, 1, 1 ]
llama_model_loader: - tensor 32: blk.3.ffn_up.weight q4_K [ 4096, 14336, 1, 1 ]
llama_model_loader: - tensor 33: blk.3.ffn_norm.weight f32 [ 4096, 1, 1, 1 ]
llama_model_loader: - tensor 34: blk.3.attn_k.weight q4_K [ 4096, 1024, 1, 1 ]
llama_model_loader: - tensor 35: blk.3.attn_output.weight q4_K [ 4096, 4096, 1, 1 ]
llama_model_loader: - tensor 36: blk.3.attn_q.weight q4_K [ 4096, 4096, 1, 1 ]
llama_model_loader: - tensor 37: blk.3.attn_v.weight q6_K [ 4096, 1024, 1, 1 ]
llama_model_loader: - tensor 38: blk.4.attn_norm.weight f32 [ 4096, 1, 1, 1 ]
llama_model_loader: - tensor 39: blk.4.ffn_down.weight q4_K [ 14336, 4096, 1, 1 ]
llama_model_loader: - tensor 40: blk.4.ffn_gate.weight q4_K [ 4096, 14336, 1, 1 ]
llama_model_loader: - tensor 41: blk.4.ffn_up.weight q4_K [ 4096, 14336, 1, 1 ]
llama_model_loader: - tensor 42: blk.4.ffn_norm.weight f32 [ 4096, 1, 1, 1 ]
llama_model_loader: - tensor 43: blk.4.attn_k.weight q4_K [ 4096, 1024, 1, 1 ]
llama_model_loader: - tensor 44: blk.4.attn_output.weight q4_K [ 4096, 4096, 1, 1 ]
llama_model_loader: - tensor 45: blk.4.attn_q.weight q4_K [ 4096, 4096, 1, 1 ]
llama_model_loader: - tensor 46: blk.4.attn_v.weight q4_K [ 4096, 1024, 1, 1 ]
llama_model_loader: - tensor 47: blk.5.attn_norm.weight f32 [ 4096, 1, 1, 1 ]
llama_model_loader: - tensor 48: blk.5.ffn_down.weight q4_K [ 14336, 4096, 1, 1 ]
llama_model_loader: - tensor 49: blk.5.ffn_gate.weight q4_K [ 4096, 14336, 1, 1 ]
llama_model_loader: - tensor 50: blk.5.ffn_up.weight q4_K [ 4096, 14336, 1, 1 ]
llama_model_loader: - tensor 51: blk.5.ffn_norm.weight f32 [ 4096, 1, 1, 1 ]
llama_model_loader: - tensor 52: blk.5.attn_k.weight q4_K [ 4096, 1024, 1, 1 ]
llama_model_loader: - tensor 53: blk.5.attn_output.weight q4_K [ 4096, 4096, 1, 1 ]
llama_model_loader: - tensor 54: blk.5.attn_q.weight q4_K [ 4096, 4096, 1, 1 ]
llama_model_loader: - tensor 55: blk.5.attn_v.weight q4_K [ 4096, 1024, 1, 1 ]
llama_model_loader: - tensor 56: blk.6.attn_norm.weight f32 [ 4096, 1, 1, 1 ]
llama_model_loader: - tensor 57: blk.6.ffn_down.weight q6_K [ 14336, 4096, 1, 1 ]
llama_model_loader: - tensor 58: blk.6.ffn_gate.weight q4_K [ 4096, 14336, 1, 1 ]
llama_model_loader: - tensor 59: blk.6.ffn_up.weight q4_K [ 4096, 14336, 1, 1 ]
llama_model_loader: - tensor 60: blk.6.ffn_norm.weight f32 [ 4096, 1, 1, 1 ]
llama_model_loader: - tensor 61: blk.6.attn_k.weight q4_K [ 4096, 1024, 1, 1 ]
llama_model_loader: - tensor 62: blk.6.attn_output.weight q4_K [ 4096, 4096, 1, 1 ]
llama_model_loader: - tensor 63: blk.6.attn_q.weight q4_K [ 4096, 4096, 1, 1 ]
llama_model_loader: - tensor 64: blk.6.attn_v.weight q6_K [ 4096, 1024, 1, 1 ]
llama_model_loader: - tensor 65: blk.7.attn_norm.weight f32 [ 4096, 1, 1, 1 ]
llama_model_loader: - tensor 66: blk.7.ffn_down.weight q4_K [ 14336, 4096, 1, 1 ]
llama_model_loader: - tensor 67: blk.7.ffn_gate.weight q4_K [ 4096, 14336, 1, 1 ]
llama_model_loader: - tensor 68: blk.7.ffn_up.weight q4_K [ 4096, 14336, 1, 1 ]
llama_model_loader: - tensor 69: blk.7.ffn_norm.weight f32 [ 4096, 1, 1, 1 ]
llama_model_loader: - tensor 70: blk.7.attn_k.weight q4_K [ 4096, 1024, 1, 1 ]
llama_model_loader: - tensor 71: blk.7.attn_output.weight q4_K [ 4096, 4096, 1, 1 ]
llama_model_loader: - tensor 72: blk.7.attn_q.weight q4_K [ 4096, 4096, 1, 1 ]
llama_model_loader: - tensor 73: blk.7.attn_v.weight q4_K [ 4096, 1024, 1, 1 ]
llama_model_loader: - tensor 74: blk.8.attn_norm.weight f32 [ 4096, 1, 1, 1 ]
llama_model_loader: - tensor 75: blk.8.ffn_down.weight q4_K [ 14336, 4096, 1, 1 ]
llama_model_loader: - tensor 76: blk.8.ffn_gate.weight q4_K [ 4096, 14336, 1, 1 ]
llama_model_loader: - tensor 77: blk.8.ffn_up.weight q4_K [ 4096, 14336, 1, 1 ]
llama_model_loader: - tensor 78: blk.8.ffn_norm.weight f32 [ 4096, 1, 1, 1 ]
llama_model_loader: - tensor 79: blk.8.attn_k.weight q4_K [ 4096, 1024, 1, 1 ]
llama_model_loader: - tensor 80: blk.8.attn_output.weight q4_K [ 4096, 4096, 1, 1 ]
llama_model_loader: - tensor 81: blk.8.attn_q.weight q4_K [ 4096, 4096, 1, 1 ]
llama_model_loader: - tensor 82: blk.8.attn_v.weight q4_K [ 4096, 1024, 1, 1 ]
llama_model_loader: - tensor 83: blk.10.attn_norm.weight f32 [ 4096, 1, 1, 1 ]
llama_model_loader: - tensor 84: blk.10.ffn_down.weight q6_K [ 14336, 4096, 1, 1 ]
llama_model_loader: - tensor 85: blk.10.ffn_gate.weight q4_K [ 4096, 14336, 1, 1 ]
llama_model_loader: - tensor 86: blk.10.ffn_up.weight q4_K [ 4096, 14336, 1, 1 ]
llama_model_loader: - tensor 87: blk.10.ffn_norm.weight f32 [ 4096, 1, 1, 1 ]
llama_model_loader: - tensor 88: blk.10.attn_k.weight q4_K [ 4096, 1024, 1, 1 ]
llama_model_loader: - tensor 89: blk.10.attn_output.weight q4_K [ 4096, 4096, 1, 1 ]
llama_model_loader: - tensor 90: blk.10.attn_q.weight q4_K [ 4096, 4096, 1, 1 ]
llama_model_loader: - tensor 91: blk.10.attn_v.weight q6_K [ 4096, 1024, 1, 1 ]
llama_model_loader: - tensor 92: blk.11.attn_norm.weight f32 [ 4096, 1, 1, 1 ]
llama_model_loader: - tensor 93: blk.11.ffn_down.weight q4_K [ 14336, 4096, 1, 1 ]
llama_model_loader: - tensor 94: blk.11.ffn_gate.weight q4_K [ 4096, 14336, 1, 1 ]
llama_model_loader: - tensor 95: blk.11.ffn_up.weight q4_K [ 4096, 14336, 1, 1 ]
llama_model_loader: - tensor 96: blk.11.ffn_norm.weight f32 [ 4096, 1, 1, 1 ]
llama_model_loader: - tensor 97: blk.11.attn_k.weight q4_K [ 4096, 1024, 1, 1 ]
llama_model_loader: - tensor 98: blk.11.attn_output.weight q4_K [ 4096, 4096, 1, 1 ]
llama_model_loader: - tensor 99: blk.11.attn_q.weight q4_K [ 4096, 4096, 1, 1 ]
llama_model_loader: - tensor 100: blk.11.attn_v.weight q4_K [ 4096, 1024, 1, 1 ]
llama_model_loader: - tensor 101: blk.12.attn_norm.weight f32 [ 4096, 1, 1, 1 ]
llama_model_loader: - tensor 102: blk.12.ffn_down.weight q4_K [ 14336, 4096, 1, 1 ]
llama_model_loader: - tensor 103: blk.12.ffn_gate.weight q4_K [ 4096, 14336, 1, 1 ]
llama_model_loader: - tensor 104: blk.12.ffn_up.weight q4_K [ 4096, 14336, 1, 1 ]
llama_model_loader: - tensor 105: blk.12.ffn_norm.weight f32 [ 4096, 1, 1, 1 ]
llama_model_loader: - tensor 106: blk.12.attn_k.weight q4_K [ 4096, 1024, 1, 1 ]
llama_model_loader: - tensor 107: blk.12.attn_output.weight q4_K [ 4096, 4096, 1, 1 ]
llama_model_loader: - tensor 108: blk.12.attn_q.weight q4_K [ 4096, 4096, 1, 1 ]
llama_model_loader: - tensor 109: blk.12.attn_v.weight q4_K [ 4096, 1024, 1, 1 ]
llama_model_loader: - tensor 110: blk.13.attn_norm.weight f32 [ 4096, 1, 1, 1 ]
llama_model_loader: - tensor 111: blk.13.ffn_down.weight q6_K [ 14336, 4096, 1, 1 ]
llama_model_loader: - tensor 112: blk.13.ffn_gate.weight q4_K [ 4096, 14336, 1, 1 ]
llama_model_loader: - tensor 113: blk.13.ffn_up.weight q4_K [ 4096, 14336, 1, 1 ]
llama_model_loader: - tensor 114: blk.13.ffn_norm.weight f32 [ 4096, 1, 1, 1 ]
llama_model_loader: - tensor 115: blk.13.attn_k.weight q4_K [ 4096, 1024, 1, 1 ]
llama_model_loader: - tensor 116: blk.13.attn_output.weight q4_K [ 4096, 4096, 1, 1 ]
llama_model_loader: - tensor 117: blk.13.attn_q.weight q4_K [ 4096, 4096, 1, 1 ]
llama_model_loader: - tensor 118: blk.13.attn_v.weight q6_K [ 4096, 1024, 1, 1 ]
llama_model_loader: - tensor 119: blk.14.attn_norm.weight f32 [ 4096, 1, 1, 1 ]
llama_model_loader: - tensor 120: blk.14.ffn_down.weight q4_K [ 14336, 4096, 1, 1 ]
llama_model_loader: - tensor 121: blk.14.ffn_gate.weight q4_K [ 4096, 14336, 1, 1 ]
llama_model_loader: - tensor 122: blk.14.ffn_up.weight q4_K [ 4096, 14336, 1, 1 ]
llama_model_loader: - tensor 123: blk.14.ffn_norm.weight f32 [ 4096, 1, 1, 1 ]
llama_model_loader: - tensor 124: blk.14.attn_k.weight q4_K [ 4096, 1024, 1, 1 ]
llama_model_loader: - tensor 125: blk.14.attn_output.weight q4_K [ 4096, 4096, 1, 1 ]
llama_model_loader: - tensor 126: blk.14.attn_q.weight q4_K [ 4096, 4096, 1, 1 ]
llama_model_loader: - tensor 127: blk.14.attn_v.weight q4_K [ 4096, 1024, 1, 1 ]
llama_model_loader: - tensor 128: blk.15.attn_norm.weight f32 [ 4096, 1, 1, 1 ]
llama_model_loader: - tensor 129: blk.15.ffn_down.weight q4_K [ 14336, 4096, 1, 1 ]
llama_model_loader: - tensor 130: blk.15.ffn_gate.weight q4_K [ 4096, 14336, 1, 1 ]
llama_model_loader: - tensor 131: blk.15.ffn_up.weight q4_K [ 4096, 14336, 1, 1 ]
llama_model_loader: - tensor 132: blk.15.ffn_norm.weight f32 [ 4096, 1, 1, 1 ]
llama_model_loader: - tensor 133: blk.15.attn_k.weight q4_K [ 4096, 1024, 1, 1 ]
llama_model_loader: - tensor 134: blk.15.attn_output.weight q4_K [ 4096, 4096, 1, 1 ]
llama_model_loader: - tensor 135: blk.15.attn_q.weight q4_K [ 4096, 4096, 1, 1 ]
llama_model_loader: - tensor 136: blk.15.attn_v.weight q4_K [ 4096, 1024, 1, 1 ]
llama_model_loader: - tensor 137: blk.16.attn_norm.weight f32 [ 4096, 1, 1, 1 ]
llama_model_loader: - tensor 138: blk.16.ffn_down.weight q6_K [ 14336, 4096, 1, 1 ]
llama_model_loader: - tensor 139: blk.16.ffn_gate.weight q4_K [ 4096, 14336, 1, 1 ]
llama_model_loader: - tensor 140: blk.16.ffn_up.weight q4_K [ 4096, 14336, 1, 1 ]
llama_model_loader: - tensor 141: blk.16.ffn_norm.weight f32 [ 4096, 1, 1, 1 ]
llama_model_loader: - tensor 142: blk.16.attn_k.weight q4_K [ 4096, 1024, 1, 1 ]
llama_model_loader: - tensor 143: blk.16.attn_output.weight q4_K [ 4096, 4096, 1, 1 ]
llama_model_loader: - tensor 144: blk.16.attn_q.weight q4_K [ 4096, 4096, 1, 1 ]
llama_model_loader: - tensor 145: blk.16.attn_v.weight q6_K [ 4096, 1024, 1, 1 ]
llama_model_loader: - tensor 146: blk.17.attn_norm.weight f32 [ 4096, 1, 1, 1 ]
llama_model_loader: - tensor 147: blk.17.ffn_down.weight q4_K [ 14336, 4096, 1, 1 ]
llama_model_loader: - tensor 148: blk.17.ffn_gate.weight q4_K [ 4096, 14336, 1, 1 ]
llama_model_loader: - tensor 149: blk.17.ffn_up.weight q4_K [ 4096, 14336, 1, 1 ]
llama_model_loader: - tensor 150: blk.17.ffn_norm.weight f32 [ 4096, 1, 1, 1 ]
llama_model_loader: - tensor 151: blk.17.attn_k.weight q4_K [ 4096, 1024, 1, 1 ]
llama_model_loader: - tensor 152: blk.17.attn_output.weight q4_K [ 4096, 4096, 1, 1 ]
llama_model_loader: - tensor 153: blk.17.attn_q.weight q4_K [ 4096, 4096, 1, 1 ]
llama_model_loader: - tensor 154: blk.17.attn_v.weight q4_K [ 4096, 1024, 1, 1 ]
llama_model_loader: - tensor 155: blk.18.attn_norm.weight f32 [ 4096, 1, 1, 1 ]
llama_model_loader: - tensor 156: blk.18.ffn_down.weight q4_K [ 14336, 4096, 1, 1 ]
llama_model_loader: - tensor 157: blk.18.ffn_gate.weight q4_K [ 4096, 14336, 1, 1 ]
llama_model_loader: - tensor 158: blk.18.ffn_up.weight q4_K [ 4096, 14336, 1, 1 ]
llama_model_loader: - tensor 159: blk.18.ffn_norm.weight f32 [ 4096, 1, 1, 1 ]
llama_model_loader: - tensor 160: blk.18.attn_k.weight q4_K [ 4096, 1024, 1, 1 ]
llama_model_loader: - tensor 161: blk.18.attn_output.weight q4_K [ 4096, 4096, 1, 1 ]
llama_model_loader: - tensor 162: blk.18.attn_q.weight q4_K [ 4096, 4096, 1, 1 ]
llama_model_loader: - tensor 163: blk.18.attn_v.weight q4_K [ 4096, 1024, 1, 1 ]
llama_model_loader: - tensor 164: blk.19.attn_norm.weight f32 [ 4096, 1, 1, 1 ]
llama_model_loader: - tensor 165: blk.19.ffn_down.weight q6_K [ 14336, 4096, 1, 1 ]
llama_model_loader: - tensor 166: blk.19.ffn_gate.weight q4_K [ 4096, 14336, 1, 1 ]
llama_model_loader: - tensor 167: blk.19.ffn_up.weight q4_K [ 4096, 14336, 1, 1 ]
llama_model_loader: - tensor 168: blk.19.ffn_norm.weight f32 [ 4096, 1, 1, 1 ]
llama_model_loader: - tensor 169: blk.19.attn_k.weight q4_K [ 4096, 1024, 1, 1 ]
llama_model_loader: - tensor 170: blk.19.attn_output.weight q4_K [ 4096, 4096, 1, 1 ]
llama_model_loader: - tensor 171: blk.19.attn_q.weight q4_K [ 4096, 4096, 1, 1 ]
llama_model_loader: - tensor 172: blk.19.attn_v.weight q6_K [ 4096, 1024, 1, 1 ]
llama_model_loader: - tensor 173: blk.20.ffn_gate.weight q4_K [ 4096, 14336, 1, 1 ]
llama_model_loader: - tensor 174: blk.20.attn_k.weight q4_K [ 4096, 1024, 1, 1 ]
llama_model_loader: - tensor 175: blk.20.attn_output.weight q4_K [ 4096, 4096, 1, 1 ]
llama_model_loader: - tensor 176: blk.20.attn_q.weight q4_K [ 4096, 4096, 1, 1 ]
llama_model_loader: - tensor 177: blk.20.attn_v.weight q4_K [ 4096, 1024, 1, 1 ]
llama_model_loader: - tensor 178: blk.9.attn_norm.weight f32 [ 4096, 1, 1, 1 ]
llama_model_loader: - tensor 179: blk.9.ffn_down.weight q4_K [ 14336, 4096, 1, 1 ]
llama_model_loader: - tensor 180: blk.9.ffn_gate.weight q4_K [ 4096, 14336, 1, 1 ]
llama_model_loader: - tensor 181: blk.9.ffn_up.weight q4_K [ 4096, 14336, 1, 1 ]
llama_model_loader: - tensor 182: blk.9.ffn_norm.weight f32 [ 4096, 1, 1, 1 ]
llama_model_loader: - tensor 183: blk.9.attn_k.weight q4_K [ 4096, 1024, 1, 1 ]
llama_model_loader: - tensor 184: blk.9.attn_output.weight q4_K [ 4096, 4096, 1, 1 ]
llama_model_loader: - tensor 185: blk.9.attn_q.weight q4_K [ 4096, 4096, 1, 1 ]
llama_model_loader: - tensor 186: blk.9.attn_v.weight q4_K [ 4096, 1024, 1, 1 ]
llama_model_loader: - tensor 187: blk.20.attn_norm.weight f32 [ 4096, 1, 1, 1 ]
llama_model_loader: - tensor 188: blk.20.ffn_down.weight q4_K [ 14336, 4096, 1, 1 ]
llama_model_loader: - tensor 189: blk.20.ffn_up.weight q4_K [ 4096, 14336, 1, 1 ]
llama_model_loader: - tensor 190: blk.20.ffn_norm.weight f32 [ 4096, 1, 1, 1 ]
llama_model_loader: - tensor 191: blk.21.attn_norm.weight f32 [ 4096, 1, 1, 1 ]
llama_model_loader: - tensor 192: blk.21.ffn_down.weight q6_K [ 14336, 4096, 1, 1 ]
llama_model_loader: - tensor 193: blk.21.ffn_gate.weight q4_K [ 4096, 14336, 1, 1 ]
llama_model_loader: - tensor 194: blk.21.ffn_up.weight q4_K [ 4096, 14336, 1, 1 ]
llama_model_loader: - tensor 195: blk.21.ffn_norm.weight f32 [ 4096, 1, 1, 1 ]
llama_model_loader: - tensor 196: blk.21.attn_k.weight q4_K [ 4096, 1024, 1, 1 ]
llama_model_loader: - tensor 197: blk.21.attn_output.weight q4_K [ 4096, 4096, 1, 1 ]
llama_model_loader: - tensor 198: blk.21.attn_q.weight q4_K [ 4096, 4096, 1, 1 ]
llama_model_loader: - tensor 199: blk.21.attn_v.weight q6_K [ 4096, 1024, 1, 1 ]
llama_model_loader: - tensor 200: blk.22.attn_norm.weight f32 [ 4096, 1, 1, 1 ]
llama_model_loader: - tensor 201: blk.22.ffn_down.weight q4_K [ 14336, 4096, 1, 1 ]
llama_model_loader: - tensor 202: blk.22.ffn_gate.weight q4_K [ 4096, 14336, 1, 1 ]
llama_model_loader: - tensor 203: blk.22.ffn_up.weight q4_K [ 4096, 14336, 1, 1 ]
llama_model_loader: - tensor 204: blk.22.ffn_norm.weight f32 [ 4096, 1, 1, 1 ]
llama_model_loader: - tensor 205: blk.22.attn_k.weight q4_K [ 4096, 1024, 1, 1 ]
llama_model_loader: - tensor 206: blk.22.attn_output.weight q4_K [ 4096, 4096, 1, 1 ]
llama_model_loader: - tensor 207: blk.22.attn_q.weight q4_K [ 4096, 4096, 1, 1 ]
llama_model_loader: - tensor 208: blk.22.attn_v.weight q4_K [ 4096, 1024, 1, 1 ]
llama_model_loader: - tensor 209: blk.23.attn_norm.weight f32 [ 4096, 1, 1, 1 ]
llama_model_loader: - tensor 210: blk.23.ffn_down.weight q4_K [ 14336, 4096, 1, 1 ]
llama_model_loader: - tensor 211: blk.23.ffn_gate.weight q4_K [ 4096, 14336, 1, 1 ]
llama_model_loader: - tensor 212: blk.23.ffn_up.weight q4_K [ 4096, 14336, 1, 1 ]
llama_model_loader: - tensor 213: blk.23.ffn_norm.weight f32 [ 4096, 1, 1, 1 ]
llama_model_loader: - tensor 214: blk.23.attn_k.weight q4_K [ 4096, 1024, 1, 1 ]
llama_model_loader: - tensor 215: blk.23.attn_output.weight q4_K [ 4096, 4096, 1, 1 ]
llama_model_loader: - tensor 216: blk.23.attn_q.weight q4_K [ 4096, 4096, 1, 1 ]
llama_model_loader: - tensor 217: blk.23.attn_v.weight q4_K [ 4096, 1024, 1, 1 ]
llama_model_loader: - tensor 218: blk.24.attn_norm.weight f32 [ 4096, 1, 1, 1 ]
llama_model_loader: - tensor 219: blk.24.ffn_down.weight q6_K [ 14336, 4096, 1, 1 ]
llama_model_loader: - tensor 220: blk.24.ffn_gate.weight q4_K [ 4096, 14336, 1, 1 ]
llama_model_loader: - tensor 221: blk.24.ffn_up.weight q4_K [ 4096, 14336, 1, 1 ]
llama_model_loader: - tensor 222: blk.24.ffn_norm.weight f32 [ 4096, 1, 1, 1 ]
llama_model_loader: - tensor 223: blk.24.attn_k.weight q4_K [ 4096, 1024, 1, 1 ]
llama_model_loader: - tensor 224: blk.24.attn_output.weight q4_K [ 4096, 4096, 1, 1 ]
llama_model_loader: - tensor 225: blk.24.attn_q.weight q4_K [ 4096, 4096, 1, 1 ]
llama_model_loader: - tensor 226: blk.24.attn_v.weight q6_K [ 4096, 1024, 1, 1 ]
llama_model_loader: - tensor 227: blk.25.attn_norm.weight f32 [ 4096, 1, 1, 1 ]
llama_model_loader: - tensor 228: blk.25.ffn_down.weight q4_K [ 14336, 4096, 1, 1 ]
llama_model_loader: - tensor 229: blk.25.ffn_gate.weight q4_K [ 4096, 14336, 1, 1 ]
llama_model_loader: - tensor 230: blk.25.ffn_up.weight q4_K [ 4096, 14336, 1, 1 ]
llama_model_loader: - tensor 231: blk.25.ffn_norm.weight f32 [ 4096, 1, 1, 1 ]
llama_model_loader: - tensor 232: blk.25.attn_k.weight q4_K [ 4096, 1024, 1, 1 ]
llama_model_loader: - tensor 233: blk.25.attn_output.weight q4_K [ 4096, 4096, 1, 1 ]
llama_model_loader: - tensor 234: blk.25.attn_q.weight q4_K [ 4096, 4096, 1, 1 ]
llama_model_loader: - tensor 235: blk.25.attn_v.weight q4_K [ 4096, 1024, 1, 1 ]
llama_model_loader: - tensor 236: blk.26.attn_norm.weight f32 [ 4096, 1, 1, 1 ]
llama_model_loader: - tensor 237: blk.26.ffn_down.weight q4_K [ 14336, 4096, 1, 1 ]
llama_model_loader: - tensor 238: blk.26.ffn_gate.weight q4_K [ 4096, 14336, 1, 1 ]
llama_model_loader: - tensor 239: blk.26.ffn_up.weight q4_K [ 4096, 14336, 1, 1 ]
llama_model_loader: - tensor 240: blk.26.ffn_norm.weight f32 [ 4096, 1, 1, 1 ]
llama_model_loader: - tensor 241: blk.26.attn_k.weight q4_K [ 4096, 1024, 1, 1 ]
llama_model_loader: - tensor 242: blk.26.attn_output.weight q4_K [ 4096, 4096, 1, 1 ]
llama_model_loader: - tensor 243: blk.26.attn_q.weight q4_K [ 4096, 4096, 1, 1 ]
llama_model_loader: - tensor 244: blk.26.attn_v.weight q4_K [ 4096, 1024, 1, 1 ]
llama_model_loader: - tensor 245: blk.27.attn_norm.weight f32 [ 4096, 1, 1, 1 ]
llama_model_loader: - tensor 246: blk.27.ffn_down.weight q6_K [ 14336, 4096, 1, 1 ]
llama_model_loader: - tensor 247: blk.27.ffn_gate.weight q4_K [ 4096, 14336, 1, 1 ]
llama_model_loader: - tensor 248: blk.27.ffn_up.weight q4_K [ 4096, 14336, 1, 1 ]
llama_model_loader: - tensor 249: blk.27.ffn_norm.weight f32 [ 4096, 1, 1, 1 ]
llama_model_loader: - tensor 250: blk.27.attn_k.weight q4_K [ 4096, 1024, 1, 1 ]
llama_model_loader: - tensor 251: blk.27.attn_output.weight q4_K [ 4096, 4096, 1, 1 ]
llama_model_loader: - tensor 252: blk.27.attn_q.weight q4_K [ 4096, 4096, 1, 1 ]
llama_model_loader: - tensor 253: blk.27.attn_v.weight q6_K [ 4096, 1024, 1, 1 ]
llama_model_loader: - tensor 254: blk.28.attn_norm.weight f32 [ 4096, 1, 1, 1 ]
llama_model_loader: - tensor 255: blk.28.ffn_down.weight q6_K [ 14336, 4096, 1, 1 ]
llama_model_loader: - tensor 256: blk.28.ffn_gate.weight q4_K [ 4096, 14336, 1, 1 ]
llama_model_loader: - tensor 257: blk.28.ffn_up.weight q4_K [ 4096, 14336, 1, 1 ]
llama_model_loader: - tensor 258: blk.28.ffn_norm.weight f32 [ 4096, 1, 1, 1 ]
llama_model_loader: - tensor 259: blk.28.attn_k.weight q4_K [ 4096, 1024, 1, 1 ]
llama_model_loader: - tensor 260: blk.28.attn_output.weight q4_K [ 4096, 4096, 1, 1 ]
llama_model_loader: - tensor 261: blk.28.attn_q.weight q4_K [ 4096, 4096, 1, 1 ]
llama_model_loader: - tensor 262: blk.28.attn_v.weight q6_K [ 4096, 1024, 1, 1 ]
llama_model_loader: - tensor 263: blk.29.attn_norm.weight f32 [ 4096, 1, 1, 1 ]
llama_model_loader: - tensor 264: blk.29.ffn_down.weight q6_K [ 14336, 4096, 1, 1 ]
llama_model_loader: - tensor 265: blk.29.ffn_gate.weight q4_K [ 4096, 14336, 1, 1 ]
llama_model_loader: - tensor 266: blk.29.ffn_up.weight q4_K [ 4096, 14336, 1, 1 ]
llama_model_loader: - tensor 267: blk.29.ffn_norm.weight f32 [ 4096, 1, 1, 1 ]
llama_model_loader: - tensor 268: blk.29.attn_k.weight q4_K [ 4096, 1024, 1, 1 ]
llama_model_loader: - tensor 269: blk.29.attn_output.weight q4_K [ 4096, 4096, 1, 1 ]
llama_model_loader: - tensor 270: blk.29.attn_q.weight q4_K [ 4096, 4096, 1, 1 ]
llama_model_loader: - tensor 271: blk.29.attn_v.weight q6_K [ 4096, 1024, 1, 1 ]
llama_model_loader: - tensor 272: blk.30.attn_norm.weight f32 [ 4096, 1, 1, 1 ]
llama_model_loader: - tensor 273: blk.30.ffn_down.weight q6_K [ 14336, 4096, 1, 1 ]
llama_model_loader: - tensor 274: blk.30.ffn_gate.weight q4_K [ 4096, 14336, 1, 1 ]
llama_model_loader: - tensor 275: blk.30.ffn_up.weight q4_K [ 4096, 14336, 1, 1 ]
llama_model_loader: - tensor 276: blk.30.ffn_norm.weight f32 [ 4096, 1, 1, 1 ]
llama_model_loader: - tensor 277: blk.30.attn_k.weight q4_K [ 4096, 1024, 1, 1 ]
llama_model_loader: - tensor 278: blk.30.attn_output.weight q4_K [ 4096, 4096, 1, 1 ]
llama_model_loader: - tensor 279: blk.30.attn_q.weight q4_K [ 4096, 4096, 1, 1 ]
llama_model_loader: - tensor 280: blk.30.attn_v.weight q6_K [ 4096, 1024, 1, 1 ]
llama_model_loader: - tensor 281: blk.31.ffn_gate.weight q4_K [ 4096, 14336, 1, 1 ]
llama_model_loader: - tensor 282: blk.31.ffn_up.weight q4_K [ 4096, 14336, 1, 1 ]
llama_model_loader: - tensor 283: blk.31.attn_k.weight q4_K [ 4096, 1024, 1, 1 ]
llama_model_loader: - tensor 284: blk.31.attn_output.weight q4_K [ 4096, 4096, 1, 1 ]
llama_model_loader: - tensor 285: blk.31.attn_q.weight q4_K [ 4096, 4096, 1, 1 ]
llama_model_loader: - tensor 286: blk.31.attn_v.weight q6_K [ 4096, 1024, 1, 1 ]
llama_model_loader: - tensor 287: output.weight q6_K [ 4096, 128256, 1, 1 ]
llama_model_loader: - tensor 288: blk.31.attn_norm.weight f32 [ 4096, 1, 1, 1 ]
llama_model_loader: - tensor 289: blk.31.ffn_down.weight q6_K [ 14336, 4096, 1, 1 ]
llama_model_loader: - tensor 290: blk.31.ffn_norm.weight f32 [ 4096, 1, 1, 1 ]
llama_model_loader: - tensor 291: output_norm.weight f32 [ 4096, 1, 1, 1 ]
llama_model_loader: - kv 0: general.architecture str
llama_model_loader: - kv 1: general.type str
llama_model_loader: - kv 2: general.name str
llama_model_loader: - kv 3: general.finetune str
llama_model_loader: - kv 4: general.basename str
llama_model_loader: - kv 5: general.size_label str
llama_model_loader: - kv 6: general.license str
llama_model_loader: - kv 7: general.tags arr
llama_model_loader: - kv 8: general.languages arr
llama_model_loader: - kv 9: llama.block_count u32
llama_model_loader: - kv 10: llama.context_length u32
llama_model_loader: - kv 11: llama.embedding_length u32
llama_model_loader: - kv 12: llama.feed_forward_length u32
llama_model_loader: - kv 13: llama.attention.head_count u32
llama_model_loader: - kv 14: llama.attention.head_count_kv u32
llama_model_loader: - kv 15: llama.rope.freq_base f32
llama_model_loader: - kv 16: llama.attention.layer_norm_rms_epsilon f32
llama_model_loader: - kv 17: general.file_type u32
llama_model_loader: - kv 18: llama.vocab_size u32
llama_model_loader: - kv 19: llama.rope.dimension_count u32
llama_model_loader: - kv 20: tokenizer.ggml.model str
llama_model_loader: - kv 21: tokenizer.ggml.pre str
llama_model_loader: - kv 22: tokenizer.ggml.tokens arr
llama_model_loader: - kv 23: tokenizer.ggml.token_type arr
llama_model_loader: - kv 24: tokenizer.ggml.merges arr
llama_model_loader: - kv 25: tokenizer.ggml.bos_token_id u32
llama_model_loader: - kv 26: tokenizer.ggml.eos_token_id u32
llama_model_loader: - kv 27: tokenizer.chat_template str
llama_model_loader: - kv 28: general.quantization_version u32
llama_model_loader: - kv 29: quantize.imatrix.file str
llama_model_loader: - kv 30: quantize.imatrix.dataset str
llama_model_loader: - kv 31: quantize.imatrix.entries_count i32
llama_model_loader: - kv 32: quantize.imatrix.chunks_count i32
llama_model_loader: - type f32: 66 tensors
llama_model_loader: - type q4_K: 193 tensors
llama_model_loader: - type q6_K: 33 tensors
ERROR: byte not found in vocab: '
'
Traceback (most recent call last):
File "C:\Users\Admin\AppData\Local\pypoetry\Cache\virtualenvs\private-gpt-TFCUF6yI-py3.11\Lib\site-packages\injector_init_.py", line 798, in get
return self._context[key]
~~~~~~~~~~~~~^^^^^
KeyError: <class 'private_gpt.ui.ui.PrivateGptUi'>
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "C:\Users\Admin\AppData\Local\pypoetry\Cache\virtualenvs\private-gpt-TFCUF6yI-py3.11\Lib\site-packages\injector_init_.py", line 798, in get
return self._context[key]
~~~~~~~~~~~~~^^^^^
KeyError: <class 'private_gpt.server.ingest.ingest_service.IngestService'>
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "C:\Users\Admin\AppData\Local\pypoetry\Cache\virtualenvs\private-gpt-TFCUF6yI-py3.11\Lib\site-packages\injector_init_.py", line 798, in get
return self._context[key]
~~~~~~~~~~~~~^^^^^
KeyError: <class 'private_gpt.components.llm.llm_component.LLMComponent'>
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "", line 198, in run_module_as_main
File "", line 88, in run_code
File "D:\privateGPT\private_gpt_main.py", line 5, in
from private_gpt.main import app
File "D:\privateGPT\private_gpt\main.py", line 6, in
app = create_app(global_injector)
^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "D:\privateGPT\private_gpt\launcher.py", line 66, in create_app
ui = root_injector.get(PrivateGptUi)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\Users\Admin\AppData\Local\pypoetry\Cache\virtualenvs\private-gpt-TFCUF6yI-py3.11\Lib\site-packages\injector_init.py", line 91, in wrapper
return function(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\Users\Admin\AppData\Local\pypoetry\Cache\virtualenvs\private-gpt-TFCUF6yI-py3.11\Lib\site-packages\injector_init_.py", line 974, in get
provider_instance = scope_instance.get(interface, binding.provider)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\Users\Admin\AppData\Local\pypoetry\Cache\virtualenvs\private-gpt-TFCUF6yI-py3.11\Lib\site-packages\injector_init_.py", line 91, in wrapper
return function(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\Users\Admin\AppData\Local\pypoetry\Cache\virtualenvs\private-gpt-TFCUF6yI-py3.11\Lib\site-packages\injector_init_.py", line 800, in get
instance = self.get_instance(key, provider, self.injector)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\Users\Admin\AppData\Local\pypoetry\Cache\virtualenvs\private-gpt-TFCUF6yI-py3.11\Lib\site-packages\injector_init.py", line 811, in get_instance
return provider.get(injector)
^^^^^^^^^^^^^^^^^^^^^^
File "C:\Users\Admin\AppData\Local\pypoetry\Cache\virtualenvs\private-gpt-TFCUF6yI-py3.11\Lib\site-packages\injector_init.py", line 264, in get
return injector.create_object(self.cls)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\Users\Admin\AppData\Local\pypoetry\Cache\virtualenvs\private-gpt-TFCUF6yI-py3.11\Lib\site-packages\injector_init.py", line 998, in create_object
self.call_with_injection(init, self_=instance, kwargs=additional_kwargs)
File "C:\Users\Admin\AppData\Local\pypoetry\Cache\virtualenvs\private-gpt-TFCUF6yI-py3.11\Lib\site-packages\injector_init_.py", line 1031, in call_with_injection
dependencies = self.args_to_inject(
^^^^^^^^^^^^^^^^^^^^
File "C:\Users\Admin\AppData\Local\pypoetry\Cache\virtualenvs\private-gpt-TFCUF6yI-py3.11\Lib\site-packages\injector_init_.py", line 91, in wrapper
return function(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\Users\Admin\AppData\Local\pypoetry\Cache\virtualenvs\private-gpt-TFCUF6yI-py3.11\Lib\site-packages\injector_init_.py", line 1079, in args_to_inject
instance: Any = self.get(interface)
^^^^^^^^^^^^^^^^^^^
File "C:\Users\Admin\AppData\Local\pypoetry\Cache\virtualenvs\private-gpt-TFCUF6yI-py3.11\Lib\site-packages\injector_init_.py", line 91, in wrapper
return function(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\Users\Admin\AppData\Local\pypoetry\Cache\virtualenvs\private-gpt-TFCUF6yI-py3.11\Lib\site-packages\injector_init_.py", line 974, in get
provider_instance = scope_instance.get(interface, binding.provider)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\Users\Admin\AppData\Local\pypoetry\Cache\virtualenvs\private-gpt-TFCUF6yI-py3.11\Lib\site-packages\injector_init_.py", line 91, in wrapper
return function(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\Users\Admin\AppData\Local\pypoetry\Cache\virtualenvs\private-gpt-TFCUF6yI-py3.11\Lib\site-packages\injector_init_.py", line 800, in get
instance = self.get_instance(key, provider, self.injector)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\Users\Admin\AppData\Local\pypoetry\Cache\virtualenvs\private-gpt-TFCUF6yI-py3.11\Lib\site-packages\injector_init.py", line 811, in get_instance
return provider.get(injector)
^^^^^^^^^^^^^^^^^^^^^^
File "C:\Users\Admin\AppData\Local\pypoetry\Cache\virtualenvs\private-gpt-TFCUF6yI-py3.11\Lib\site-packages\injector_init.py", line 264, in get
return injector.create_object(self.cls)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\Users\Admin\AppData\Local\pypoetry\Cache\virtualenvs\private-gpt-TFCUF6yI-py3.11\Lib\site-packages\injector_init.py", line 998, in create_object
self.call_with_injection(init, self_=instance, kwargs=additional_kwargs)
File "C:\Users\Admin\AppData\Local\pypoetry\Cache\virtualenvs\private-gpt-TFCUF6yI-py3.11\Lib\site-packages\injector_init_.py", line 1031, in call_with_injection
dependencies = self.args_to_inject(
^^^^^^^^^^^^^^^^^^^^
File "C:\Users\Admin\AppData\Local\pypoetry\Cache\virtualenvs\private-gpt-TFCUF6yI-py3.11\Lib\site-packages\injector_init_.py", line 91, in wrapper
return function(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\Users\Admin\AppData\Local\pypoetry\Cache\virtualenvs\private-gpt-TFCUF6yI-py3.11\Lib\site-packages\injector_init_.py", line 1079, in args_to_inject
instance: Any = self.get(interface)
^^^^^^^^^^^^^^^^^^^
File "C:\Users\Admin\AppData\Local\pypoetry\Cache\virtualenvs\private-gpt-TFCUF6yI-py3.11\Lib\site-packages\injector_init_.py", line 91, in wrapper
return function(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\Users\Admin\AppData\Local\pypoetry\Cache\virtualenvs\private-gpt-TFCUF6yI-py3.11\Lib\site-packages\injector_init_.py", line 974, in get
provider_instance = scope_instance.get(interface, binding.provider)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\Users\Admin\AppData\Local\pypoetry\Cache\virtualenvs\private-gpt-TFCUF6yI-py3.11\Lib\site-packages\injector_init_.py", line 91, in wrapper
return function(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\Users\Admin\AppData\Local\pypoetry\Cache\virtualenvs\private-gpt-TFCUF6yI-py3.11\Lib\site-packages\injector_init_.py", line 800, in get
instance = self.get_instance(key, provider, self.injector)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\Users\Admin\AppData\Local\pypoetry\Cache\virtualenvs\private-gpt-TFCUF6yI-py3.11\Lib\site-packages\injector_init.py", line 811, in get_instance
return provider.get(injector)
^^^^^^^^^^^^^^^^^^^^^^
File "C:\Users\Admin\AppData\Local\pypoetry\Cache\virtualenvs\private-gpt-TFCUF6yI-py3.11\Lib\site-packages\injector_init.py", line 264, in get
return injector.create_object(self.cls)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\Users\Admin\AppData\Local\pypoetry\Cache\virtualenvs\private-gpt-TFCUF6yI-py3.11\Lib\site-packages\injector_init.py", line 998, in create_object
self.call_with_injection(init, self_=instance, kwargs=additional_kwargs)
File "C:\Users\Admin\AppData\Local\pypoetry\Cache\virtualenvs\private-gpt-TFCUF6yI-py3.11\Lib\site-packages\injector_init_.py", line 1040, in call_with_injection
return callable(*full_args, **dependencies)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "D:\privateGPT\private_gpt\components\llm\llm_component.py", line 63, in init
self.llm = LlamaCPP(
^^^^^^^^^
File "C:\Users\Admin\AppData\Local\pypoetry\Cache\virtualenvs\private-gpt-TFCUF6yI-py3.11\Lib\site-packages\llama_index\llms\llama_cpp\base.py", line 162, in init
self._model = Llama(model_path=model_path, **model_kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\Users\Admin\AppData\Local\pypoetry\Cache\virtualenvs\private-gpt-TFCUF6yI-py3.11\Lib\site-packages\llama_cpp\llama.py", line 357, in init
self.model = llama_cpp.llama_load_model_from_file(
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\Users\Admin\AppData\Local\pypoetry\Cache\virtualenvs\private-gpt-TFCUF6yI-py3.11\Lib\site-packages\llama_cpp\llama_cpp.py", line 498, in llama_load_model_from_file
return _lib.llama_load_model_from_file(path_model, params)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
OSError: exception: access violation reading 0x0000000000000000
make: *** [Makefile:36: run] Error 1`
Steps to Reproduce
make run
Expected Behavior
make run
Actual Behavior
make run
Environment
D:\privateGPT>poetry run pip list Package Version Editable project location ---------------------------------- --------------- ------------------------- aiofiles 23.2.1 aiohttp 3.9.5 aiosignal 1.3.1 annotated-types 0.7.0 anyio 4.4.0 attrs 23.2.0 beautifulsoup4 4.12.3 black 22.12.0 certifi 2024.7.4 cffi 1.16.0 cfgv 3.4.0 charset-normalizer 3.3.2 click 8.1.7 colorama 0.4.6 contourpy 1.2.1 coverage 7.6.0 cryptography 3.4.8 cycler 0.12.1 dataclasses-json 0.6.7 Deprecated 1.2.14 dirtyjson 1.0.8 diskcache 5.6.3 distlib 0.3.8 distro 1.9.0 dnspython 2.6.1 docx2txt 0.8 einops 0.8.0 email_validator 2.2.0 fastapi 0.111.1 fastapi-cli 0.0.4 ffmpy 0.3.2 filelock 3.15.4 fonttools 4.53.1 frozenlist 1.4.1 fsspec 2024.6.1 gradio 4.39.0 gradio_client 1.1.1 greenlet 3.0.3 grpcio 1.63.0 grpcio-tools 1.62.2 h11 0.14.0 h2 4.1.0 hpack 4.0.0 httpcore 1.0.5 httptools 0.6.1 httpx 0.27.0 huggingface-hub 0.24.3 hyperframe 6.0.1 identify 2.6.0 idna 3.7 importlib_resources 6.4.0 iniconfig 2.0.0 injector 0.21.0 itsdangerous 2.2.0 Jinja2 3.1.4 joblib 1.4.2 kiwisolver 1.4.5 llama_cpp_python 0.2.8+cu118 llama-index-core 0.10.58 llama-index-embeddings-huggingface 0.2.2 llama-index-llms-llama-cpp 0.1.4 llama-index-readers-file 0.1.31 llama-index-vector-stores-qdrant 0.2.14 markdown-it-py 3.0.0 MarkupSafe 2.1.5 marshmallow 3.21.3 matplotlib 3.9.1.post1 mdurl 0.1.2 minijinja 2.0.1 mpmath 1.3.0 multidict 6.0.5 mypy 1.11.0 mypy-extensions 1.0.0 nest-asyncio 1.6.0 networkx 3.3 nltk 3.8.1 nodeenv 1.9.1 numpy 1.26.4 openai 1.37.1 orjson 3.10.6 packaging 24.1 pandas 2.2.2 pathspec 0.12.1 pillow 10.4.0 pip 24.0 platformdirs 4.2.2 pluggy 1.5.0 portalocker 2.10.1 pre-commit 2.21.0 private-gpt 0.6.2 D:\privateGPT protobuf 4.25.4 pycparser 2.22 pydantic 2.8.2 pydantic_core 2.20.1 pydantic-extra-types 2.9.0 pydantic-settings 2.3.4 pydub 0.25.1 Pygments 2.18.0 pyparsing 3.1.2 pypdf 4.3.1 pytest 7.4.4 pytest-asyncio 0.21.2 pytest-cov 3.0.0 python-dateutil 2.9.0.post0 python-dotenv 1.0.1 python-multipart 0.0.9 pytz 2024.1 pywin32 306 PyYAML 6.0.1 qdrant-client 1.10.1 regex 2024.7.24 requests 2.32.3 rich 13.7.1 ruff 0.5.5 safetensors 0.4.3 scikit-learn 1.5.1 scipy 1.14.0 semantic-version 2.10.0 sentence-transformers 3.0.1 setuptools 72.1.0 shellingham 1.5.4 six 1.16.0 sniffio 1.3.1 soupsieve 2.5 SQLAlchemy 2.0.31 starlette 0.37.2 striprtf 0.0.26 sympy 1.13.1 tenacity 8.5.0 threadpoolctl 3.5.0 tiktoken 0.7.0 tokenizers 0.19.1 tomlkit 0.12.0 torch 2.4.0 tqdm 4.66.4 transformers 4.43.3 typer 0.12.3 types-PyYAML 6.0.12.20240724 typing_extensions 4.12.2 typing-inspect 0.9.0 tzdata 2024.1 ujson 5.10.0 urllib3 2.2.2 uvicorn 0.30.3 virtualenv 20.26.3 watchdog 4.0.1 watchfiles 0.22.0 websockets 11.0.3 wrapt 1.16.0 yarl 1.9.4
Additional Information
D:\privateGPT>poetry run pip check llama-index-llms-llama-cpp 0.1.4 has requirement llama-cpp-python<0.3.0,>=0.2.32, but you have llama-cpp-python 0.2.8+cu118.
Version
latest
Setup Checklist
NVIDIA GPU Setup Checklist
nvidia-smito verify).sudo docker run --rm --gpus all nvidia/cuda:11.0.3-base-ubuntu20.04 nvidia-smi)The text was updated successfully, but these errors were encountered: