Add lut8_g32_c6: phone-safe 6-chunk 8-bit bundle (every graph under the iOS 500 MB tier)
Browse files- lut8_g32_c6/GATE_P.json +42 -0
- lut8_g32_c6/PRECISION.json +18 -0
- lut8_g32_c6/lfm2-5-2-6b.json +151 -0
- lut8_g32_c6/lfm2_5_2_6b_decode_chunk0.iodesc.json +60 -0
- lut8_g32_c6/lfm2_5_2_6b_decode_chunk0.mlpackage/Data/com.apple.CoreML/model.mlmodel +3 -0
- lut8_g32_c6/lfm2_5_2_6b_decode_chunk0.mlpackage/Data/com.apple.CoreML/weights/weight.bin +3 -0
- lut8_g32_c6/lfm2_5_2_6b_decode_chunk0.mlpackage/Manifest.json +18 -0
- lut8_g32_c6/lfm2_5_2_6b_decode_chunk1.iodesc.json +66 -0
- lut8_g32_c6/lfm2_5_2_6b_decode_chunk1.mlpackage/Data/com.apple.CoreML/model.mlmodel +3 -0
- lut8_g32_c6/lfm2_5_2_6b_decode_chunk1.mlpackage/Data/com.apple.CoreML/weights/weight.bin +3 -0
- lut8_g32_c6/lfm2_5_2_6b_decode_chunk1.mlpackage/Manifest.json +18 -0
- lut8_g32_c6/lfm2_5_2_6b_decode_chunk2.iodesc.json +60 -0
- lut8_g32_c6/lfm2_5_2_6b_decode_chunk2.mlpackage/Data/com.apple.CoreML/model.mlmodel +3 -0
- lut8_g32_c6/lfm2_5_2_6b_decode_chunk2.mlpackage/Data/com.apple.CoreML/weights/weight.bin +3 -0
- lut8_g32_c6/lfm2_5_2_6b_decode_chunk2.mlpackage/Manifest.json +18 -0
- lut8_g32_c6/lfm2_5_2_6b_decode_chunk3.iodesc.json +60 -0
- lut8_g32_c6/lfm2_5_2_6b_decode_chunk3.mlpackage/Data/com.apple.CoreML/model.mlmodel +3 -0
- lut8_g32_c6/lfm2_5_2_6b_decode_chunk3.mlpackage/Data/com.apple.CoreML/weights/weight.bin +3 -0
- lut8_g32_c6/lfm2_5_2_6b_decode_chunk3.mlpackage/Manifest.json +18 -0
- lut8_g32_c6/lfm2_5_2_6b_decode_chunk4.iodesc.json +66 -0
- lut8_g32_c6/lfm2_5_2_6b_decode_chunk4.mlpackage/Data/com.apple.CoreML/model.mlmodel +3 -0
- lut8_g32_c6/lfm2_5_2_6b_decode_chunk4.mlpackage/Data/com.apple.CoreML/weights/weight.bin +3 -0
- lut8_g32_c6/lfm2_5_2_6b_decode_chunk4.mlpackage/Manifest.json +18 -0
- lut8_g32_c6/lfm2_5_2_6b_decode_chunk5.iodesc.json +60 -0
- lut8_g32_c6/lfm2_5_2_6b_decode_chunk5.mlpackage/Data/com.apple.CoreML/model.mlmodel +3 -0
- lut8_g32_c6/lfm2_5_2_6b_decode_chunk5.mlpackage/Data/com.apple.CoreML/weights/weight.bin +3 -0
- lut8_g32_c6/lfm2_5_2_6b_decode_chunk5.mlpackage/Manifest.json +18 -0
- lut8_g32_c6/lfm2_5_2_6b_embed_f16.bin +3 -0
- lut8_g32_c6/lfm2_5_2_6b_lmhead.iodesc.json +33 -0
- lut8_g32_c6/lfm2_5_2_6b_lmhead.mlpackage/Data/com.apple.CoreML/model.mlmodel +3 -0
- lut8_g32_c6/lfm2_5_2_6b_lmhead.mlpackage/Data/com.apple.CoreML/weights/weight.bin +3 -0
- lut8_g32_c6/lfm2_5_2_6b_lmhead.mlpackage/Manifest.json +18 -0
- lut8_g32_c6/tokenizer.json +3 -0
lut8_g32_c6/GATE_P.json
ADDED
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{
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"bundle": "_work/bundle_w8_6ch",
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"graphs": [
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{
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"name": "lfm2_5_2_6b_decode_chunk0.mlpackage",
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"size_mb": 410.671028,
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"bucket": "safe"
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},
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{
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"name": "lfm2_5_2_6b_decode_chunk1.mlpackage",
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"size_mb": 404.302451,
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"bucket": "safe"
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},
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{
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"name": "lfm2_5_2_6b_decode_chunk2.mlpackage",
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"size_mb": 410.671031,
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"bucket": "safe"
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},
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{
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"name": "lfm2_5_2_6b_decode_chunk3.mlpackage",
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"size_mb": 410.671046,
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"bucket": "safe"
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},
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{
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"name": "lfm2_5_2_6b_decode_chunk4.mlpackage",
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"size_mb": 404.302533,
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"bucket": "safe"
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},
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{
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"name": "lfm2_5_2_6b_decode_chunk5.mlpackage",
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"size_mb": 410.676897,
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"bucket": "safe"
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},
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{
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"name": "lfm2_5_2_6b_lmhead.mlpackage",
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"size_mb": 264.204321,
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"bucket": "safe"
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}
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],
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"device_tested": false,
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"device_trials": []
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}
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lut8_g32_c6/PRECISION.json
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{
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"level": "lut8_g32_c6",
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"role": "exact",
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| 4 |
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"nbits": 8,
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| 5 |
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"mode": "kmeans",
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"granularity": "per_grouped_channel",
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| 7 |
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"group_size": 32,
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"compute_precision": "fp16",
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| 9 |
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"chunks": 6,
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| 10 |
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"bundle_mb": 3106.8,
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| 11 |
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"largest_graph_mb": 410.7,
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| 12 |
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"ios_gate_p": "PASS",
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| 13 |
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"ios_note": "Every graph is under the ~500 MB per-graph size measured 100% reliable on iPhone. The sibling lut8_g32 is the same precision in 4 chunks and peaks at 654 MB, which lands in the 500 MB-1 GB band measured NON-DETERMINISTIC on device.",
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| 14 |
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"quality_frac_vs_fp16": 1.0,
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| 15 |
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"suite_correct": "21/23",
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| 16 |
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"fp16_suite_correct": "21/23",
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"notes": "Weight-only 8-bit LUT palettization; compute stays fp16. RMSNorm scale vectors are deliberately left in fp16 (they sit exactly at the 2048-element weight_threshold, 0.1 MiB total). Re-chunking 4->6 cost no throughput."
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}
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lut8_g32_c6/lfm2-5-2-6b.json
ADDED
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| 1 |
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{
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| 2 |
+
"schema": 1,
|
| 3 |
+
"name": "lfm2-5-2-6b",
|
| 4 |
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"family": "llm",
|
| 5 |
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"source": "LiquidAI/LFM2.5-2.6B",
|
| 6 |
+
"target": {
|
| 7 |
+
"backend": "coreml",
|
| 8 |
+
"min_os": "macOS15"
|
| 9 |
+
},
|
| 10 |
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"arch": {
|
| 11 |
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"hidden": 2048,
|
| 12 |
+
"q_heads": 32,
|
| 13 |
+
"kv_heads": 8,
|
| 14 |
+
"head_dim": 64,
|
| 15 |
+
"layers": 30,
|
| 16 |
+
"vocab": 128000,
|
| 17 |
+
"eps": 1e-05
|
| 18 |
+
},
|
| 19 |
+
"rope": {
|
| 20 |
+
"strategy": "standard_1d",
|
| 21 |
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"theta": 10000000.0
|
| 22 |
+
},
|
| 23 |
+
"layers_schedule": {
|
| 24 |
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"schedule": "hybrid",
|
| 25 |
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"attn_idx": [
|
| 26 |
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2,
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| 27 |
+
5,
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| 28 |
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9,
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| 29 |
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13,
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17,
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21,
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24,
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27
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],
|
| 35 |
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"conv_idx": [
|
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0,
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1,
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3,
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4,
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6,
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7,
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8,
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10,
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11,
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12,
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14,
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15,
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16,
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18,
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19,
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20,
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22,
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23,
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25,
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26,
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28,
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29
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],
|
| 59 |
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"conv_kernel": 3
|
| 60 |
+
},
|
| 61 |
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"artifacts": {
|
| 62 |
+
"graphs": {
|
| 63 |
+
"chunk0": {
|
| 64 |
+
"package": "lfm2_5_2_6b_decode_chunk0.mlpackage",
|
| 65 |
+
"compiled": "lfm2_5_2_6b_decode_chunk0.mlmodelc",
|
| 66 |
+
"seq": 1,
|
| 67 |
+
"ctx": 512,
|
| 68 |
+
"precision": "fp16",
|
| 69 |
+
"compute_units": "cpuAndNeuralEngine",
|
| 70 |
+
"stateful": false
|
| 71 |
+
},
|
| 72 |
+
"chunk1": {
|
| 73 |
+
"package": "lfm2_5_2_6b_decode_chunk1.mlpackage",
|
| 74 |
+
"compiled": "lfm2_5_2_6b_decode_chunk1.mlmodelc",
|
| 75 |
+
"seq": 1,
|
| 76 |
+
"ctx": 512,
|
| 77 |
+
"precision": "fp16",
|
| 78 |
+
"compute_units": "cpuAndNeuralEngine",
|
| 79 |
+
"stateful": false
|
| 80 |
+
},
|
| 81 |
+
"chunk2": {
|
| 82 |
+
"package": "lfm2_5_2_6b_decode_chunk2.mlpackage",
|
| 83 |
+
"compiled": "lfm2_5_2_6b_decode_chunk2.mlmodelc",
|
| 84 |
+
"seq": 1,
|
| 85 |
+
"ctx": 512,
|
| 86 |
+
"precision": "fp16",
|
| 87 |
+
"compute_units": "cpuAndNeuralEngine",
|
| 88 |
+
"stateful": false
|
| 89 |
+
},
|
| 90 |
+
"chunk3": {
|
| 91 |
+
"package": "lfm2_5_2_6b_decode_chunk3.mlpackage",
|
| 92 |
+
"compiled": "lfm2_5_2_6b_decode_chunk3.mlmodelc",
|
| 93 |
+
"seq": 1,
|
| 94 |
+
"ctx": 512,
|
| 95 |
+
"precision": "fp16",
|
| 96 |
+
"compute_units": "cpuAndNeuralEngine",
|
| 97 |
+
"stateful": false
|
| 98 |
+
},
|
| 99 |
+
"chunk4": {
|
| 100 |
+
"package": "lfm2_5_2_6b_decode_chunk4.mlpackage",
|
| 101 |
+
"compiled": "lfm2_5_2_6b_decode_chunk4.mlmodelc",
|
| 102 |
+
"seq": 1,
|
| 103 |
+
"ctx": 512,
|
| 104 |
+
"precision": "fp16",
|
| 105 |
+
"compute_units": "cpuAndNeuralEngine",
|
| 106 |
+
"stateful": false
|
| 107 |
+
},
|
| 108 |
+
"chunk5": {
|
| 109 |
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"package": "lfm2_5_2_6b_decode_chunk5.mlpackage",
|
| 110 |
+
"compiled": "lfm2_5_2_6b_decode_chunk5.mlmodelc",
|
| 111 |
+
"seq": 1,
|
| 112 |
+
"ctx": 512,
|
| 113 |
+
"precision": "fp16",
|
| 114 |
+
"compute_units": "cpuAndNeuralEngine",
|
| 115 |
+
"stateful": false
|
| 116 |
+
},
|
| 117 |
+
"lmhead": {
|
| 118 |
+
"package": "lfm2_5_2_6b_lmhead.mlpackage",
|
| 119 |
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"compiled": "lfm2_5_2_6b_lmhead.mlmodelc",
|
| 120 |
+
"seq": 1,
|
| 121 |
+
"ctx": 512,
|
| 122 |
+
"precision": "fp16",
|
| 123 |
+
"compute_units": "cpuAndNeuralEngine",
|
| 124 |
+
"stateful": false
|
| 125 |
+
}
|
| 126 |
+
},
|
| 127 |
+
"host_weights": {
|
| 128 |
+
"embed": "lfm2_5_2_6b_embed_f16.bin"
|
| 129 |
+
},
|
| 130 |
+
"tokenizer": "tokenizer.json"
|
| 131 |
+
},
|
| 132 |
+
"lmhead": {
|
| 133 |
+
"slices": 8,
|
| 134 |
+
"slice_width": 16000,
|
| 135 |
+
"vocab": 128000,
|
| 136 |
+
"argmax_in_graph": false
|
| 137 |
+
},
|
| 138 |
+
"host_params": {
|
| 139 |
+
"max_new": 64,
|
| 140 |
+
"mask_neg": -40000.0
|
| 141 |
+
},
|
| 142 |
+
"success": {
|
| 143 |
+
"parity": "greedy_exact",
|
| 144 |
+
"cosine_min": 0.999,
|
| 145 |
+
"min_tok_per_s": 4.0
|
| 146 |
+
},
|
| 147 |
+
"chat": {
|
| 148 |
+
"prefix": "<|startoftext|><|im_start|>user\n",
|
| 149 |
+
"suffix": "<|im_end|>\n<|im_start|>assistant\n<think>"
|
| 150 |
+
}
|
| 151 |
+
}
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lut8_g32_c6/lfm2_5_2_6b_decode_chunk0.iodesc.json
ADDED
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{
|
| 4 |
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|
| 5 |
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|
| 6 |
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|
| 7 |
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| 8 |
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| 9 |
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|
| 10 |
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|
| 11 |
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|
| 12 |
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| 13 |
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| 14 |
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| 15 |
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| 16 |
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|
| 17 |
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|
| 18 |
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|
| 19 |
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|
| 20 |
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|
| 21 |
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|
| 22 |
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| 23 |
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|
| 24 |
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|
| 25 |
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| 26 |
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|
| 27 |
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| 28 |
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|
| 29 |
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| 30 |
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| 31 |
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| 32 |
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|
| 33 |
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lut8_g32_c6/lfm2_5_2_6b_lmhead.mlpackage/Data/com.apple.CoreML/model.mlmodel
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| 3 |
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ADDED
|
@@ -0,0 +1,3 @@
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| 1 |
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ADDED
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| 5 |
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| 6 |
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|
| 7 |
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| 8 |
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| 9 |
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| 10 |
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|
| 11 |
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"author": "com.apple.CoreML",
|
| 12 |
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"description": "CoreML Model Specification",
|
| 13 |
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"name": "model.mlmodel",
|
| 14 |
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"path": "com.apple.CoreML/model.mlmodel"
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| 15 |
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| 16 |
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| 17 |
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| 18 |
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lut8_g32_c6/tokenizer.json
ADDED
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