finetune -ngl not offloading to GPU, Metal M2 #3911
Description
Prerequisites
Release: b1471
Expected Behavior
When I pass the command, with --gpu-layers 1, finetune should offload to GPU, .
/Volumes/d/apps/llama.cpp/llama.cpp/finetune --model-base /Volumes/d/apps/aimodels/others/openllama-3b-v2/openllama-3b-v2.q8_0.gguf --gpu-layers 1 --checkpoint-in chk-ol3b-shakespeare-LATEST.gguf --checkpoint-out chk-ol3b-shakespeare-ITERATION.gguf --lora-out lora-ol3b-shakespeare-ITERATION.bin --train-data shakespeare.txt --save-every 10 --threads 4 --adam-iter 30 --batch 4 --ctx 64 --use-checkpointing
Current Behavior
No, GPU used. All cores of P-CPU maxed out. Temperatures soaring. Check asitop, output.
Environment and Context
Mac Mini, M2, 24GB Memory
Failure Information (for bugs)
Please help provide information about the failure / bug.
Steps to Reproduce
- git checkout b1471
- make clean
- make
- Run the command for finetune as shared above, in current behavior
- Observe, asitop, or any other utility
Failure Logs
Volumes/d/apps/llama.cpp/llama.cpp/finetune --model-base /Volumes/d/apps/aimodels/others/openllama-3b-v2/openllama-3b-v2.q8_0.gguf --gpu-layers 25 --checkpoint-in chk-ol3b-shakespeare-LATEST.gguf --checkpoint-out chk-ol3b-shakespeare-ITERATION.gguf --lora-out lora-ol3b-shakespeare-ITERATION.bin --train-data shakespeare.txt --save-every 10 --threads 4 --adam-iter 30 --batch 4 --ctx 128 --use-checkpointing
main: seed: 1698931925
main: model base = '/Volumes/d/apps/aimodels/others/openllama-3b-v2/openllama-3b-v2.q8_0.gguf'
llama_model_loader: loaded meta data with 19 key-value pairs and 237 tensors from /Volumes/d/apps/aimodels/others/openllama-3b-v2/openllama-3b-v2.q8_0.gguf (version GGUF V3 (latest))
llama_model_loader: - tensor 0: token_embd.weight q8_0 [ 3200, 32000, 1, 1 ]
llama_model_loader: - tensor 1: blk.0.attn_q.weight q8_0 [ 3200, 3200, 1, 1 ]
llama_model_loader: - tensor 2: blk.0.attn_k.weight q8_0 [ 3200, 3200, 1, 1 ]
llama_model_loader: - tensor 3: blk.0.attn_v.weight q8_0 [ 3200, 3200, 1, 1 ]
llama_model_loader: - tensor 4: blk.0.attn_output.weight q8_0 [ 3200, 3200, 1, 1 ]
llama_model_loader: - tensor 5: blk.0.ffn_gate.weight q8_0 [ 3200, 8640, 1, 1 ]
llama_model_loader: - tensor 6: blk.0.ffn_down.weight q8_0 [ 8640, 3200, 1, 1 ]
llama_model_loader: - tensor 7: blk.0.ffn_up.weight q8_0 [ 3200, 8640, 1, 1 ]
llama_model_loader: - tensor 8: blk.0.attn_norm.weight f32 [ 3200, 1, 1, 1 ]
llama_model_loader: - tensor 9: blk.0.ffn_norm.weight f32 [ 3200, 1, 1, 1 ]
llama_model_loader: - tensor 10: blk.1.attn_q.weight q8_0 [ 3200, 3200, 1, 1 ]
llama_model_loader: - tensor 11: blk.1.attn_k.weight q8_0 [ 3200, 3200, 1, 1 ]
llama_model_loader: - tensor 12: blk.1.attn_v.weight q8_0 [ 3200, 3200, 1, 1 ]
llama_model_loader: - tensor 13: blk.1.attn_output.weight q8_0 [ 3200, 3200, 1, 1 ]
llama_model_loader: - tensor 14: blk.1.ffn_gate.weight q8_0 [ 3200, 8640, 1, 1 ]
llama_model_loader: - tensor 15: blk.1.ffn_down.weight q8_0 [ 8640, 3200, 1, 1 ]
llama_model_loader: - tensor 16: blk.1.ffn_up.weight q8_0 [ 3200, 8640, 1, 1 ]
llama_model_loader: - tensor 17: blk.1.attn_norm.weight f32 [ 3200, 1, 1, 1 ]
llama_model_loader: - tensor 18: blk.1.ffn_norm.weight f32 [ 3200, 1, 1, 1 ]
llama_model_loader: - tensor 19: blk.2.attn_q.weight q8_0 [ 3200, 3200, 1, 1 ]
llama_model_loader: - tensor 20: blk.2.attn_k.weight q8_0 [ 3200, 3200, 1, 1 ]
llama_model_loader: - tensor 21: blk.2.attn_v.weight q8_0 [ 3200, 3200, 1, 1 ]
llama_model_loader: - tensor 22: blk.2.attn_output.weight q8_0 [ 3200, 3200, 1, 1 ]
llama_model_loader: - tensor 23: blk.2.ffn_gate.weight q8_0 [ 3200, 8640, 1, 1 ]
llama_model_loader: - tensor 24: blk.2.ffn_down.weight q8_0 [ 8640, 3200, 1, 1 ]
llama_model_loader: - tensor 25: blk.2.ffn_up.weight q8_0 [ 3200, 8640, 1, 1 ]
llama_model_loader: - tensor 26: blk.2.attn_norm.weight f32 [ 3200, 1, 1, 1 ]
llama_model_loader: - tensor 27: blk.2.ffn_norm.weight f32 [ 3200, 1, 1, 1 ]
llama_model_loader: - tensor 28: blk.3.attn_q.weight q8_0 [ 3200, 3200, 1, 1 ]
llama_model_loader: - tensor 29: blk.3.attn_k.weight q8_0 [ 3200, 3200, 1, 1 ]
llama_model_loader: - tensor 30: blk.3.attn_v.weight q8_0 [ 3200, 3200, 1, 1 ]
llama_model_loader: - tensor 31: blk.3.attn_output.weight q8_0 [ 3200, 3200, 1, 1 ]
llama_model_loader: - tensor 32: blk.3.ffn_gate.weight q8_0 [ 3200, 8640, 1, 1 ]
llama_model_loader: - tensor 33: blk.3.ffn_down.weight q8_0 [ 8640, 3200, 1, 1 ]
llama_model_loader: - tensor 34: blk.3.ffn_up.weight q8_0 [ 3200, 8640, 1, 1 ]
llama_model_loader: - tensor 35: blk.3.attn_norm.weight f32 [ 3200, 1, 1, 1 ]
llama_model_loader: - tensor 36: blk.3.ffn_norm.weight f32 [ 3200, 1, 1, 1 ]
llama_model_loader: - tensor 37: blk.4.attn_q.weight q8_0 [ 3200, 3200, 1, 1 ]
llama_model_loader: - tensor 38: blk.4.attn_k.weight q8_0 [ 3200, 3200, 1, 1 ]
llama_model_loader: - tensor 39: blk.4.attn_v.weight q8_0 [ 3200, 3200, 1, 1 ]
llama_model_loader: - tensor 40: blk.4.attn_output.weight q8_0 [ 3200, 3200, 1, 1 ]
llama_model_loader: - tensor 41: blk.4.ffn_gate.weight q8_0 [ 3200, 8640, 1, 1 ]
llama_model_loader: - tensor 42: blk.4.ffn_down.weight q8_0 [ 8640, 3200, 1, 1 ]
llama_model_loader: - tensor 43: blk.4.ffn_up.weight q8_0 [ 3200, 8640, 1, 1 ]
llama_model_loader: - tensor 44: blk.4.attn_norm.weight f32 [ 3200, 1, 1, 1 ]
llama_model_loader: - tensor 45: blk.4.ffn_norm.weight f32 [ 3200, 1, 1, 1 ]
llama_model_loader: - tensor 46: blk.5.attn_q.weight q8_0 [ 3200, 3200, 1, 1 ]
llama_model_loader: - tensor 47: blk.5.attn_k.weight q8_0 [ 3200, 3200, 1, 1 ]
llama_model_loader: - tensor 48: blk.5.attn_v.weight q8_0 [ 3200, 3200, 1, 1 ]
llama_model_loader: - tensor 49: blk.5.attn_output.weight q8_0 [ 3200, 3200, 1, 1 ]
llama_model_loader: - tensor 50: blk.5.ffn_gate.weight q8_0 [ 3200, 8640, 1, 1 ]
llama_model_loader: - tensor 51: blk.5.ffn_down.weight q8_0 [ 8640, 3200, 1, 1 ]
llama_model_loader: - tensor 52: blk.5.ffn_up.weight q8_0 [ 3200, 8640, 1, 1 ]
llama_model_loader: - tensor 53: blk.5.attn_norm.weight f32 [ 3200, 1, 1, 1 ]
llama_model_loader: - tensor 54: blk.5.ffn_norm.weight f32 [ 3200, 1, 1, 1 ]
llama_model_loader: - tensor 55: blk.6.attn_q.weight q8_0 [ 3200, 3200, 1, 1 ]
llama_model_loader: - tensor 56: blk.6.attn_k.weight q8_0 [ 3200, 3200, 1, 1 ]
llama_model_loader: - tensor 57: blk.6.attn_v.weight q8_0 [ 3200, 3200, 1, 1 ]
llama_model_loader: - tensor 58: blk.6.attn_output.weight q8_0 [ 3200, 3200, 1, 1 ]
llama_model_loader: - tensor 59: blk.6.ffn_gate.weight q8_0 [ 3200, 8640, 1, 1 ]
llama_model_loader: - tensor 60: blk.6.ffn_down.weight q8_0 [ 8640, 3200, 1, 1 ]
llama_model_loader: - tensor 61: blk.6.ffn_up.weight q8_0 [ 3200, 8640, 1, 1 ]
llama_model_loader: - tensor 62: blk.6.attn_norm.weight f32 [ 3200, 1, 1, 1 ]
llama_model_loader: - tensor 63: blk.6.ffn_norm.weight f32 [ 3200, 1, 1, 1 ]
llama_model_loader: - tensor 64: blk.7.attn_q.weight q8_0 [ 3200, 3200, 1, 1 ]
llama_model_loader: - tensor 65: blk.7.attn_k.weight q8_0 [ 3200, 3200, 1, 1 ]
llama_model_loader: - tensor 66: blk.7.attn_v.weight q8_0 [ 3200, 3200, 1, 1 ]
llama_model_loader: - tensor 67: blk.7.attn_output.weight q8_0 [ 3200, 3200, 1, 1 ]
llama_model_loader: - tensor 68: blk.7.ffn_gate.weight q8_0 [ 3200, 8640, 1, 1 ]
llama_model_loader: - tensor 69: blk.7.ffn_down.weight q8_0 [ 8640, 3200, 1, 1 ]
llama_model_loader: - tensor 70: blk.7.ffn_up.weight q8_0 [ 3200, 8640, 1, 1 ]
llama_model_loader: - tensor 71: blk.7.attn_norm.weight f32 [ 3200, 1, 1, 1 ]
llama_model_loader: - tensor 72: blk.7.ffn_norm.weight f32 [ 3200, 1, 1, 1 ]
llama_model_loader: - tensor 73: blk.8.attn_q.weight q8_0 [ 3200, 3200, 1, 1 ]
llama_model_loader: - tensor 74: blk.8.attn_k.weight q8_0 [ 3200, 3200, 1, 1 ]
llama_model_loader: - tensor 75: blk.8.attn_v.weight q8_0 [ 3200, 3200, 1, 1 ]
llama_model_loader: - tensor 76: blk.8.attn_output.weight q8_0 [ 3200, 3200, 1, 1 ]
llama_model_loader: - tensor 77: blk.8.ffn_gate.weight q8_0 [ 3200, 8640, 1, 1 ]
llama_model_loader: - tensor 78: blk.8.ffn_down.weight q8_0 [ 8640, 3200, 1, 1 ]
llama_model_loader: - tensor 79: blk.8.ffn_up.weight q8_0 [ 3200, 8640, 1, 1 ]
llama_model_loader: - tensor 80: blk.8.attn_norm.weight f32 [ 3200, 1, 1, 1 ]
llama_model_loader: - tensor 81: blk.8.ffn_norm.weight f32 [ 3200, 1, 1, 1 ]
llama_model_loader: - tensor 82: blk.9.attn_q.weight q8_0 [ 3200, 3200, 1, 1 ]
llama_model_loader: - tensor 83: blk.9.attn_k.weight q8_0 [ 3200, 3200, 1, 1 ]
llama_model_loader: - tensor 84: blk.9.attn_v.weight q8_0 [ 3200, 3200, 1, 1 ]
llama_model_loader: - tensor 85: blk.9.attn_output.weight q8_0 [ 3200, 3200, 1, 1 ]
llama_model_loader: - tensor 86: blk.9.ffn_gate.weight q8_0 [ 3200, 8640, 1, 1 ]
llama_model_loader: - tensor 87: blk.9.ffn_down.weight q8_0 [ 8640, 3200, 1, 1 ]
llama_model_loader: - tensor 88: blk.9.ffn_up.weight q8_0 [ 3200, 8640, 1, 1 ]
llama_model_loader: - tensor 89: blk.9.attn_norm.weight f32 [ 3200, 1, 1, 1 ]
llama_model_loader: - tensor 90: blk.9.ffn_norm.weight f32 [ 3200, 1, 1, 1 ]
llama_model_loader: - tensor 91: blk.10.attn_q.weight q8_0 [ 3200, 3200, 1, 1 ]
llama_model_loader: - tensor 92: blk.10.attn_k.weight q8_0 [ 3200, 3200, 1, 1 ]
llama_model_loader: - tensor 93: blk.10.attn_v.weight q8_0 [ 3200, 3200, 1, 1 ]
llama_model_loader: - tensor 94: blk.10.attn_output.weight q8_0 [ 3200, 3200, 1, 1 ]
llama_model_loader: - tensor 95: blk.10.ffn_gate.weight q8_0 [ 3200, 8640, 1, 1 ]
llama_model_loader: - tensor 96: blk.10.ffn_down.weight q8_0 [ 8640, 3200, 1, 1 ]
llama_model_loader: - tensor 97: blk.10.ffn_up.weight q8_0 [ 3200, 8640, 1, 1 ]
llama_model_loader: - tensor 98: blk.10.attn_norm.weight f32 [ 3200, 1, 1, 1 ]
llama_model_loader: - tensor 99: blk.10.ffn_norm.weight f32 [ 3200, 1, 1, 1 ]
llama_model_loader: - tensor 100: blk.11.attn_q.weight q8_0 [ 3200, 3200, 1, 1 ]
llama_model_loader: - tensor 101: blk.11.attn_k.weight q8_0 [ 3200, 3200, 1, 1 ]
llama_model_loader: - tensor 102: blk.11.attn_v.weight q8_0 [ 3200, 3200, 1, 1 ]
llama_model_loader: - tensor 103: blk.11.attn_output.weight q8_0 [ 3200, 3200, 1, 1 ]
llama_model_loader: - tensor 104: blk.11.ffn_gate.weight q8_0 [ 3200, 8640, 1, 1 ]
llama_model_loader: - tensor 105: blk.11.ffn_down.weight q8_0 [ 8640, 3200, 1, 1 ]
llama_model_loader: - tensor 106: blk.11.ffn_up.weight q8_0 [ 3200, 8640, 1, 1 ]
llama_model_loader: - tensor 107: blk.11.attn_norm.weight f32 [ 3200, 1, 1, 1 ]
llama_model_loader: - tensor 108: blk.11.ffn_norm.weight f32 [ 3200, 1, 1, 1 ]
llama_model_loader: - tensor 109: blk.12.attn_q.weight q8_0 [ 3200, 3200, 1, 1 ]
llama_model_loader: - tensor 110: blk.12.attn_k.weight q8_0 [ 3200, 3200, 1, 1 ]
llama_model_loader: - tensor 111: blk.12.attn_v.weight q8_0 [ 3200, 3200, 1, 1 ]
llama_model_loader: - tensor 112: blk.12.attn_output.weight q8_0 [ 3200, 3200, 1, 1 ]
llama_model_loader: - tensor 113: blk.12.ffn_gate.weight q8_0 [ 3200, 8640, 1, 1 ]
llama_model_loader: - tensor 114: blk.12.ffn_down.weight q8_0 [ 8640, 3200, 1, 1 ]
llama_model_loader: - tensor 115: blk.12.ffn_up.weight q8_0 [ 3200, 8640, 1, 1 ]
llama_model_loader: - tensor 116: blk.12.attn_norm.weight f32 [ 3200, 1, 1, 1 ]
llama_model_loader: - tensor 117: blk.12.ffn_norm.weight f32 [ 3200, 1, 1, 1 ]
llama_model_loader: - tensor 118: blk.13.attn_q.weight q8_0 [ 3200, 3200, 1, 1 ]
llama_model_loader: - tensor 119: blk.13.attn_k.weight q8_0 [ 3200, 3200, 1, 1 ]
llama_model_loader: - tensor 120: blk.13.attn_v.weight q8_0 [ 3200, 3200, 1, 1 ]
llama_model_loader: - tensor 121: blk.13.attn_output.weight q8_0 [ 3200, 3200, 1, 1 ]
llama_model_loader: - tensor 122: blk.13.ffn_gate.weight q8_0 [ 3200, 8640, 1, 1 ]
llama_model_loader: - tensor 123: blk.13.ffn_down.weight q8_0 [ 8640, 3200, 1, 1 ]
llama_model_loader: - tensor 124: blk.13.ffn_up.weight q8_0 [ 3200, 8640, 1, 1 ]
llama_model_loader: - tensor 125: blk.13.attn_norm.weight f32 [ 3200, 1, 1, 1 ]
llama_model_loader: - tensor 126: blk.13.ffn_norm.weight f32 [ 3200, 1, 1, 1 ]
llama_model_loader: - tensor 127: blk.14.attn_q.weight q8_0 [ 3200, 3200, 1, 1 ]
llama_model_loader: - tensor 128: blk.14.attn_k.weight q8_0 [ 3200, 3200, 1, 1 ]
llama_model_loader: - tensor 129: blk.14.attn_v.weight q8_0 [ 3200, 3200, 1, 1 ]
llama_model_loader: - tensor 130: blk.14.attn_output.weight q8_0 [ 3200, 3200, 1, 1 ]
llama_model_loader: - tensor 131: blk.14.ffn_gate.weight q8_0 [ 3200, 8640, 1, 1 ]
llama_model_loader: - tensor 132: blk.14.ffn_down.weight q8_0 [ 8640, 3200, 1, 1 ]
llama_model_loader: - tensor 133: blk.14.ffn_up.weight q8_0 [ 3200, 8640, 1, 1 ]
llama_model_loader: - tensor 134: blk.14.attn_norm.weight f32 [ 3200, 1, 1, 1 ]
llama_model_loader: - tensor 135: blk.14.ffn_norm.weight f32 [ 3200, 1, 1, 1 ]
llama_model_loader: - tensor 136: blk.15.attn_q.weight q8_0 [ 3200, 3200, 1, 1 ]
llama_model_loader: - tensor 137: blk.15.attn_k.weight q8_0 [ 3200, 3200, 1, 1 ]
llama_model_loader: - tensor 138: blk.15.attn_v.weight q8_0 [ 3200, 3200, 1, 1 ]
llama_model_loader: - tensor 139: blk.15.attn_output.weight q8_0 [ 3200, 3200, 1, 1 ]
llama_model_loader: - tensor 140: blk.15.ffn_gate.weight q8_0 [ 3200, 8640, 1, 1 ]
llama_model_loader: - tensor 141: blk.15.ffn_down.weight q8_0 [ 8640, 3200, 1, 1 ]
llama_model_loader: - tensor 142: blk.15.ffn_up.weight q8_0 [ 3200, 8640, 1, 1 ]
llama_model_loader: - tensor 143: blk.15.attn_norm.weight f32 [ 3200, 1, 1, 1 ]
llama_model_loader: - tensor 144: blk.15.ffn_norm.weight f32 [ 3200, 1, 1, 1 ]
llama_model_loader: - tensor 145: blk.16.attn_q.weight q8_0 [ 3200, 3200, 1, 1 ]
llama_model_loader: - tensor 146: blk.16.attn_k.weight q8_0 [ 3200, 3200, 1, 1 ]
llama_model_loader: - tensor 147: blk.16.attn_v.weight q8_0 [ 3200, 3200, 1, 1 ]
llama_model_loader: - tensor 148: blk.16.attn_output.weight q8_0 [ 3200, 3200, 1, 1 ]
llama_model_loader: - tensor 149: blk.16.ffn_gate.weight q8_0 [ 3200, 8640, 1, 1 ]
llama_model_loader: - tensor 150: blk.16.ffn_down.weight q8_0 [ 8640, 3200, 1, 1 ]
llama_model_loader: - tensor 151: blk.16.ffn_up.weight q8_0 [ 3200, 8640, 1, 1 ]
llama_model_loader: - tensor 152: blk.16.attn_norm.weight f32 [ 3200, 1, 1, 1 ]
llama_model_loader: - tensor 153: blk.16.ffn_norm.weight f32 [ 3200, 1, 1, 1 ]
llama_model_loader: - tensor 154: blk.17.attn_q.weight q8_0 [ 3200, 3200, 1, 1 ]
llama_model_loader: - tensor 155: blk.17.attn_k.weight q8_0 [ 3200, 3200, 1, 1 ]
llama_model_loader: - tensor 156: blk.17.attn_v.weight q8_0 [ 3200, 3200, 1, 1 ]
llama_model_loader: - tensor 157: blk.17.attn_output.weight q8_0 [ 3200, 3200, 1, 1 ]
llama_model_loader: - tensor 158: blk.17.ffn_gate.weight q8_0 [ 3200, 8640, 1, 1 ]
llama_model_loader: - tensor 159: blk.17.ffn_down.weight q8_0 [ 8640, 3200, 1, 1 ]
llama_model_loader: - tensor 160: blk.17.ffn_up.weight q8_0 [ 3200, 8640, 1, 1 ]
llama_model_loader: - tensor 161: blk.17.attn_norm.weight f32 [ 3200, 1, 1, 1 ]
llama_model_loader: - tensor 162: blk.17.ffn_norm.weight f32 [ 3200, 1, 1, 1 ]
llama_model_loader: - tensor 163: blk.18.attn_q.weight q8_0 [ 3200, 3200, 1, 1 ]
llama_model_loader: - tensor 164: blk.18.attn_k.weight q8_0 [ 3200, 3200, 1, 1 ]
llama_model_loader: - tensor 165: blk.18.attn_v.weight q8_0 [ 3200, 3200, 1, 1 ]
llama_model_loader: - tensor 166: blk.18.attn_output.weight q8_0 [ 3200, 3200, 1, 1 ]
llama_model_loader: - tensor 167: blk.18.ffn_gate.weight q8_0 [ 3200, 8640, 1, 1 ]
llama_model_loader: - tensor 168: blk.18.ffn_down.weight q8_0 [ 8640, 3200, 1, 1 ]
llama_model_loader: - tensor 169: blk.18.ffn_up.weight q8_0 [ 3200, 8640, 1, 1 ]
llama_model_loader: - tensor 170: blk.18.attn_norm.weight f32 [ 3200, 1, 1, 1 ]
llama_model_loader: - tensor 171: blk.18.ffn_norm.weight f32 [ 3200, 1, 1, 1 ]
llama_model_loader: - tensor 172: blk.19.attn_q.weight q8_0 [ 3200, 3200, 1, 1 ]
llama_model_loader: - tensor 173: blk.19.attn_k.weight q8_0 [ 3200, 3200, 1, 1 ]
llama_model_loader: - tensor 174: blk.19.attn_v.weight q8_0 [ 3200, 3200, 1, 1 ]
llama_model_loader: - tensor 175: blk.19.attn_output.weight q8_0 [ 3200, 3200, 1, 1 ]
llama_model_loader: - tensor 176: blk.19.ffn_gate.weight q8_0 [ 3200, 8640, 1, 1 ]
llama_model_loader: - tensor 177: blk.19.ffn_down.weight q8_0 [ 8640, 3200, 1, 1 ]
llama_model_loader: - tensor 178: blk.19.ffn_up.weight q8_0 [ 3200, 8640, 1, 1 ]
llama_model_loader: - tensor 179: blk.19.attn_norm.weight f32 [ 3200, 1, 1, 1 ]
llama_model_loader: - tensor 180: blk.19.ffn_norm.weight f32 [ 3200, 1, 1, 1 ]
llama_model_loader: - tensor 181: blk.20.attn_q.weight q8_0 [ 3200, 3200, 1, 1 ]
llama_model_loader: - tensor 182: blk.20.attn_k.weight q8_0 [ 3200, 3200, 1, 1 ]
llama_model_loader: - tensor 183: blk.20.attn_v.weight q8_0 [ 3200, 3200, 1, 1 ]
llama_model_loader: - tensor 184: blk.20.attn_output.weight q8_0 [ 3200, 3200, 1, 1 ]
llama_model_loader: - tensor 185: blk.20.ffn_gate.weight q8_0 [ 3200, 8640, 1, 1 ]
llama_model_loader: - tensor 186: blk.20.ffn_down.weight q8_0 [ 8640, 3200, 1, 1 ]
llama_model_loader: - tensor 187: blk.20.ffn_up.weight q8_0 [ 3200, 8640, 1, 1 ]
llama_model_loader: - tensor 188: blk.20.attn_norm.weight f32 [ 3200, 1, 1, 1 ]
llama_model_loader: - tensor 189: blk.20.ffn_norm.weight f32 [ 3200, 1, 1, 1 ]
llama_model_loader: - tensor 190: blk.21.attn_q.weight q8_0 [ 3200, 3200, 1, 1 ]
llama_model_loader: - tensor 191: blk.21.attn_k.weight q8_0 [ 3200, 3200, 1, 1 ]
llama_model_loader: - tensor 192: blk.21.attn_v.weight q8_0 [ 3200, 3200, 1, 1 ]
llama_model_loader: - tensor 193: blk.21.attn_output.weight q8_0 [ 3200, 3200, 1, 1 ]
llama_model_loader: - tensor 194: blk.21.ffn_gate.weight q8_0 [ 3200, 8640, 1, 1 ]
llama_model_loader: - tensor 195: blk.21.ffn_down.weight q8_0 [ 8640, 3200, 1, 1 ]
llama_model_loader: - tensor 196: blk.21.ffn_up.weight q8_0 [ 3200, 8640, 1, 1 ]
llama_model_loader: - tensor 197: blk.21.attn_norm.weight f32 [ 3200, 1, 1, 1 ]
llama_model_loader: - tensor 198: blk.21.ffn_norm.weight f32 [ 3200, 1, 1, 1 ]
llama_model_loader: - tensor 199: blk.22.attn_q.weight q8_0 [ 3200, 3200, 1, 1 ]
llama_model_loader: - tensor 200: blk.22.attn_k.weight q8_0 [ 3200, 3200, 1, 1 ]
llama_model_loader: - tensor 201: blk.22.attn_v.weight q8_0 [ 3200, 3200, 1, 1 ]
llama_model_loader: - tensor 202: blk.22.attn_output.weight q8_0 [ 3200, 3200, 1, 1 ]
llama_model_loader: - tensor 203: blk.22.ffn_gate.weight q8_0 [ 3200, 8640, 1, 1 ]
llama_model_loader: - tensor 204: blk.22.ffn_down.weight q8_0 [ 8640, 3200, 1, 1 ]
llama_model_loader: - tensor 205: blk.22.ffn_up.weight q8_0 [ 3200, 8640, 1, 1 ]
llama_model_loader: - tensor 206: blk.22.attn_norm.weight f32 [ 3200, 1, 1, 1 ]
llama_model_loader: - tensor 207: blk.22.ffn_norm.weight f32 [ 3200, 1, 1, 1 ]
llama_model_loader: - tensor 208: blk.23.attn_q.weight q8_0 [ 3200, 3200, 1, 1 ]
llama_model_loader: - tensor 209: blk.23.attn_k.weight q8_0 [ 3200, 3200, 1, 1 ]
llama_model_loader: - tensor 210: blk.23.attn_v.weight q8_0 [ 3200, 3200, 1, 1 ]
llama_model_loader: - tensor 211: blk.23.attn_output.weight q8_0 [ 3200, 3200, 1, 1 ]
llama_model_loader: - tensor 212: blk.23.ffn_gate.weight q8_0 [ 3200, 8640, 1, 1 ]
llama_model_loader: - tensor 213: blk.23.ffn_down.weight q8_0 [ 8640, 3200, 1, 1 ]
llama_model_loader: - tensor 214: blk.23.ffn_up.weight q8_0 [ 3200, 8640, 1, 1 ]
llama_model_loader: - tensor 215: blk.23.attn_norm.weight f32 [ 3200, 1, 1, 1 ]
llama_model_loader: - tensor 216: blk.23.ffn_norm.weight f32 [ 3200, 1, 1, 1 ]
llama_model_loader: - tensor 217: blk.24.attn_q.weight q8_0 [ 3200, 3200, 1, 1 ]
llama_model_loader: - tensor 218: blk.24.attn_k.weight q8_0 [ 3200, 3200, 1, 1 ]
llama_model_loader: - tensor 219: blk.24.attn_v.weight q8_0 [ 3200, 3200, 1, 1 ]
llama_model_loader: - tensor 220: blk.24.attn_output.weight q8_0 [ 3200, 3200, 1, 1 ]
llama_model_loader: - tensor 221: blk.24.ffn_gate.weight q8_0 [ 3200, 8640, 1, 1 ]
llama_model_loader: - tensor 222: blk.24.ffn_down.weight q8_0 [ 8640, 3200, 1, 1 ]
llama_model_loader: - tensor 223: blk.24.ffn_up.weight q8_0 [ 3200, 8640, 1, 1 ]
llama_model_loader: - tensor 224: blk.24.attn_norm.weight f32 [ 3200, 1, 1, 1 ]
llama_model_loader: - tensor 225: blk.24.ffn_norm.weight f32 [ 3200, 1, 1, 1 ]
llama_model_loader: - tensor 226: blk.25.attn_q.weight q8_0 [ 3200, 3200, 1, 1 ]
llama_model_loader: - tensor 227: blk.25.attn_k.weight q8_0 [ 3200, 3200, 1, 1 ]
llama_model_loader: - tensor 228: blk.25.attn_v.weight q8_0 [ 3200, 3200, 1, 1 ]
llama_model_loader: - tensor 229: blk.25.attn_output.weight q8_0 [ 3200, 3200, 1, 1 ]
llama_model_loader: - tensor 230: blk.25.ffn_gate.weight q8_0 [ 3200, 8640, 1, 1 ]
llama_model_loader: - tensor 231: blk.25.ffn_down.weight q8_0 [ 8640, 3200, 1, 1 ]
llama_model_loader: - tensor 232: blk.25.ffn_up.weight q8_0 [ 3200, 8640, 1, 1 ]
llama_model_loader: - tensor 233: blk.25.attn_norm.weight f32 [ 3200, 1, 1, 1 ]
llama_model_loader: - tensor 234: blk.25.ffn_norm.weight f32 [ 3200, 1, 1, 1 ]
llama_model_loader: - tensor 235: output_norm.weight f32 [ 3200, 1, 1, 1 ]
llama_model_loader: - tensor 236: output.weight q8_0 [ 3200, 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: general.file_type u32
llama_model_loader: - kv 11: tokenizer.ggml.model str
llama_model_loader: - kv 12: tokenizer.ggml.tokens arr
llama_model_loader: - kv 13: tokenizer.ggml.scores arr
llama_model_loader: - kv 14: tokenizer.ggml.token_type arr
llama_model_loader: - kv 15: tokenizer.ggml.bos_token_id u32
llama_model_loader: - kv 16: tokenizer.ggml.eos_token_id u32
llama_model_loader: - kv 17: tokenizer.ggml.padding_token_id u32
llama_model_loader: - kv 18: general.quantization_version u32
llama_model_loader: - type f32: 53 tensors
llama_model_loader: - type q8_0: 184 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 = 2048
llm_load_print_meta: n_embd = 3200
llm_load_print_meta: n_head = 32
llm_load_print_meta: n_head_kv = 32
llm_load_print_meta: n_layer = 26
llm_load_print_meta: n_rot = 100
llm_load_print_meta: n_gqa = 1
llm_load_print_meta: f_norm_eps = 0.0e+00
llm_load_print_meta: f_norm_rms_eps = 1.0e-06
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 = 8640
llm_load_print_meta: freq_base_train = 10000.0
llm_load_print_meta: freq_scale_train = 1
llm_load_print_meta: model type = 3B
llm_load_print_meta: model ftype = mostly Q8_0
llm_load_print_meta: model params = 3.43 B
llm_load_print_meta: model size = 3.39 GiB (8.50 BPW)
llm_load_print_meta: general.name = others
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: PAD token = 0 '<unk>'
llm_load_print_meta: LF token = 13 '<0x0A>'
llm_load_tensors: ggml ctx size = 0.08 MB
llm_load_tensors: mem required = 3472.53 MB
.................................................................................................
llama_new_context_with_model: n_ctx = 512
llama_new_context_with_model: freq_base = 10000.0
llama_new_context_with_model: freq_scale = 1
llama_new_context_with_model: kv self size = 162.50 MB
llama_build_graph: non-view tensors processed: 602/602
ggml_metal_init: allocating
ggml_metal_init: found device: Apple M2
ggml_metal_init: picking default device: Apple M2
ggml_metal_init: default.metallib not found, loading from source
ggml_metal_init: loading '/Volumes/d/apps/llama.cpp/llama.cpp/ggml-metal.metal'
ggml_metal_init: GPU name: Apple M2
ggml_metal_init: GPU family: MTLGPUFamilyApple8 (1008)
ggml_metal_init: hasUnifiedMemory = true
ggml_metal_init: recommendedMaxWorkingSetSize = 16384.02 MB
ggml_metal_init: maxTransferRate = built-in GPU
llama_new_context_with_model: compute buffer total size = 74.88 MB
llama_new_context_with_model: max tensor size = 103.76 MB
ggml_metal_add_buffer: allocated 'data ' buffer, size = 3473.17 MB, ( 3473.80 / 16384.02)
ggml_metal_add_buffer: allocated 'kv ' buffer, size = 162.52 MB, ( 3636.31 / 16384.02)
ggml_metal_add_buffer: allocated 'alloc ' buffer, size = 68.77 MB, ( 3705.08 / 16384.02)
main: init model
print_params: n_vocab: 32000
print_params: n_ctx: 128
print_params: n_embd: 3200
print_params: n_ff: 8640
print_params: n_head: 32
print_params: n_head_kv: 32
print_params: n_layer: 26
print_params: norm_rms_eps : 0.000001
print_params: rope_freq_base : 10000.000000
print_params: rope_freq_scale : 1.000000
print_lora_params: n_rank_attention_norm : 1
print_lora_params: n_rank_wq : 4
print_lora_params: n_rank_wk : 4
print_lora_params: n_rank_wv : 4
print_lora_params: n_rank_wo : 4
print_lora_params: n_rank_ffn_norm : 1
print_lora_params: n_rank_w1 : 4
print_lora_params: n_rank_w2 : 4
print_lora_params: n_rank_w3 : 4
print_lora_params: n_rank_tok_embeddings : 4
print_lora_params: n_rank_norm : 1
print_lora_params: n_rank_output : 4
main: total train_iterations 0
main: seen train_samples 0
main: seen train_tokens 0
main: completed train_epochs 0
main: lora_size = 54798560 bytes (52.3 MB)
main: opt_size = 81693904 bytes (77.9 MB)
main: opt iter 0
main: input_size = 65538080 bytes (62.5 MB)
main: compute_size = 5092979808 bytes (4857.0 MB)
main: evaluation order = RIGHT_TO_LEFT
main: tokenize training data
tokenize_file: total number of samples: 26702
main: number of training tokens: 26830
main: number of unique tokens: 3320
main: train data seems to have changed. restarting shuffled epoch.
main: begin training
main: work_size = 512240 bytes (0.5 MB)
train_opt_callback: iter= 0 sample=1/26702 sched=0.000000 loss=0.000000 |->