diff --git "a/logs/title_train.log" "b/logs/title_train.log"
new file mode 100644--- /dev/null
+++ "b/logs/title_train.log"
@@ -0,0 +1,319 @@
+=== Title LoRA started at Thu Jun 18 08:21:42 UTC 2026 ===
+[INFO|2026-06-18 08:21:47] llamafactory.hparams.parser:523 >> Process rank: 0, world size: 1, device: cuda:0, distributed training: False, compute dtype: torch.bfloat16
+[INFO|tokenization_utils_base.py:2068] 2026-06-18 08:21:48,034 >> loading file tokenizer.model from cache at /root/.cache/huggingface/hub/models--YoLo2000--TiLamb-7B/snapshots/9e9426a248492fd02abfbd21d13f000456408bde/tokenizer.model
+[INFO|tokenization_utils_base.py:2068] 2026-06-18 08:21:48,034 >> loading file tokenizer.json from cache at /root/.cache/huggingface/hub/models--YoLo2000--TiLamb-7B/snapshots/9e9426a248492fd02abfbd21d13f000456408bde/tokenizer.json
+[INFO|tokenization_utils_base.py:2068] 2026-06-18 08:21:48,034 >> loading file added_tokens.json from cache at None
+[INFO|tokenization_utils_base.py:2068] 2026-06-18 08:21:48,034 >> loading file special_tokens_map.json from cache at /root/.cache/huggingface/hub/models--YoLo2000--TiLamb-7B/snapshots/9e9426a248492fd02abfbd21d13f000456408bde/special_tokens_map.json
+[INFO|tokenization_utils_base.py:2068] 2026-06-18 08:21:48,034 >> loading file tokenizer_config.json from cache at /root/.cache/huggingface/hub/models--YoLo2000--TiLamb-7B/snapshots/9e9426a248492fd02abfbd21d13f000456408bde/tokenizer_config.json
+[INFO|tokenization_utils_base.py:2068] 2026-06-18 08:21:48,034 >> loading file chat_template.jinja from cache at None
+[INFO|configuration_utils.py:765] 2026-06-18 08:21:49,026 >> loading configuration file config.json from cache at /root/.cache/huggingface/hub/models--YoLo2000--TiLamb-7B/snapshots/9e9426a248492fd02abfbd21d13f000456408bde/config.json
+[INFO|configuration_utils.py:839] 2026-06-18 08:21:49,028 >> Model config LlamaConfig {
+  "architectures": [
+    "LlamaForCausalLM"
+  ],
+  "attention_bias": false,
+  "attention_dropout": 0.0,
+  "bos_token_id": 1,
+  "dtype": "float16",
+  "eos_token_id": 2,
+  "head_dim": 128,
+  "hidden_act": "silu",
+  "hidden_size": 4096,
+  "initializer_range": 0.02,
+  "intermediate_size": 11008,
+  "max_position_embeddings": 4096,
+  "mlp_bias": false,
+  "model_type": "llama",
+  "num_attention_heads": 32,
+  "num_hidden_layers": 32,
+  "num_key_value_heads": 32,
+  "pretraining_tp": 1,
+  "rms_norm_eps": 1e-05,
+  "rope_scaling": null,
+  "rope_theta": 10000.0,
+  "tie_word_embeddings": false,
+  "transformers_version": "4.56.2",
+  "use_cache": true,
+  "vocab_size": 61221
+}
+
+[INFO|tokenization_utils_base.py:2068] 2026-06-18 08:21:49,309 >> loading file tokenizer.model from cache at /root/.cache/huggingface/hub/models--YoLo2000--TiLamb-7B/snapshots/9e9426a248492fd02abfbd21d13f000456408bde/tokenizer.model
+[INFO|tokenization_utils_base.py:2068] 2026-06-18 08:21:49,309 >> loading file tokenizer.json from cache at /root/.cache/huggingface/hub/models--YoLo2000--TiLamb-7B/snapshots/9e9426a248492fd02abfbd21d13f000456408bde/tokenizer.json
+[INFO|tokenization_utils_base.py:2068] 2026-06-18 08:21:49,309 >> loading file added_tokens.json from cache at None
+[INFO|tokenization_utils_base.py:2068] 2026-06-18 08:21:49,309 >> loading file special_tokens_map.json from cache at /root/.cache/huggingface/hub/models--YoLo2000--TiLamb-7B/snapshots/9e9426a248492fd02abfbd21d13f000456408bde/special_tokens_map.json
+[INFO|tokenization_utils_base.py:2068] 2026-06-18 08:21:49,309 >> loading file tokenizer_config.json from cache at /root/.cache/huggingface/hub/models--YoLo2000--TiLamb-7B/snapshots/9e9426a248492fd02abfbd21d13f000456408bde/tokenizer_config.json
+[INFO|tokenization_utils_base.py:2068] 2026-06-18 08:21:49,309 >> loading file chat_template.jinja from cache at None
+[INFO|2026-06-18 08:21:49] llamafactory.data.template:144 >> Add pad token: </s>
+[INFO|2026-06-18 08:21:49] llamafactory.data.loader:144 >> Loading dataset tibetan_title_sft/train.jsonl...
+Setting num_proc from 8 back to 1 for the train split to disable multiprocessing as it only contains one shard.
+
Generating train split: 0 examples [00:00, ? examples/s]
Generating train split: 1395 examples [00:00, 10853.54 examples/s]
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Generating train split: 60359 examples [00:02, 26163.28 examples/s]
+
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+[INFO|2026-06-18 08:21:53] llamafactory.data.loader:144 >> Loading dataset tibetan_title_sft/val.jsonl...
+Setting num_proc from 8 back to 1 for the train split to disable multiprocessing as it only contains one shard.
+
Generating train split: 0 examples [00:00, ? examples/s]
Generating train split: 1006 examples [00:00, 13050.97 examples/s]
+
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+
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+training example:
+input_ids:
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33998, 32015, 32000, 13, 34835, 32001, 39729, 32385, 32080, 44872, 32136, 32002, 35593, 32001, 31208, 38440, 32039, 33801, 32009, 35451, 44872, 37349, 31344, 44590, 32664, 39949, 31601, 32013, 37499, 30410, 13, 32892, 44806, 31896, 42384, 33567, 32422, 41108, 32354, 35210, 32578, 32110, 31208, 32175, 38396, 32000, 29871, 32000, 34240, 43742, 32664, 60866, 32039, 36043, 35004, 32854, 30410, 13, 41243, 32000, 29871, 32000, 36800, 35836, 32120, 32889, 33313, 31326, 37128, 53983, 32032, 32000, 33953, 37049, 32067, 32968, 51755, 32008, 13, 49143, 32325, 32551, 32017, 37602, 33094, 33313, 33351, 32000, 44491, 32038, 34366, 32017, 37844, 32216, 40444, 32030, 32002, 13, 37955, 38033, 31614, 34512, 32033, 50886, 34493, 37565, 37313, 31896, 31601, 32467, 32013, 37864, 32073, 32000, 29871, 34045, 45290, 56210, 35200, 33557, 32230, 32278, 39949, 31601, 32013, 32496, 13, 32278, 32854, 31601, 32325, 34045, 227, 191, 143, 32000, 29871, 32000, 35764, 34253, 34221, 32039, 33557, 32325, 32278, 38345, 31104, 59290, 32000, 48100, 32004, 33557, 32230, 32278, 32764, 32013, 13, 31326, 33214, 44872, 37349, 31344, 44933, 32013, 46457, 44292, 38033, 31614, 32004, 37609, 32013, 32878, 41172, 32467, 32664, 31643, 32000, 34304, 35874, 32013, 42938, 32039, 32136, 31601, 32039, 32185, 30410, 13, 34121, 43768, 31104, 32016, 32467, 32664, 31643, 32000, 32217, 32164, 42379, 31104, 35847, 34091, 32004, 37536, 32017, 34221, 35240, 32467, 33001, 32000, 29871, 34253, 35969, 13, 31232, 41442, 31452, 32039, 32554, 32664, 36384, 50352, 32467, 33001, 32000, 33984, 32325, 32551, 57039, 43742, 32664, 60866, 32039, 35451, 44872, 37349, 31344, 32162, 41080, 32354, 38258, 32013, 13, 32531, 13, 13, 40487, 34557, 32000, 13, 35007, 32069, 32016, 38998, 32145, 32017, 32354, 34899, 13, 32551, 60429, 32467, 32664, 32854, 31601, 32325, 34045, 32002, 29871, 32000, 32465, 34253, 32164, 42379, 42384, 47857, 32000, 48100, 32004, 33557, 32230, 13, 32278, 39401, 33214, 44872, 37349, 31344, 54811, 44590, 32073, 32636, 32110, 37499, 32385, 32002, 33172, 32039, 32611, 42938, 31705, 32015, 32000, 32813, 30410, 13, 31326, 31104, 50387, 32278, 36384, 50352, 32230, 32278, 39949, 31601, 32013, 36809, 32000, 29871, 32000, 35764, 34253, 40866, 40162, 32000, 34696, 33313, 13, 32039, 33557, 32230, 34253, 33214, 44872, 37349, 31344, 38121, 31344, 32004, 31208, 32013, 33457, 31614, 32004, 44831, 32367, 32230, 32764, 33313, 33697, 32002, 36113, 31601, 32975, 13, 32039, 32551, 35847, 32160, 32013, 41680, 32009, 37609, 32013, 32878, 32009, 32892, 44806, 49793, 35847, 32230, 32278, 32854, 31601, 32325, 34045, 227, 191, 143, 32000, 29871, 32000, 35764, 33451, 56852, 13, 40162, 32000, 44491, 32038, 43742, 32664, 60866, 32039, 35451, 44872, 37349, 31344, 44590, 32664, 39949, 31601, 32013, 36013, 33301, 32002, 33984, 32325, 32551, 32054, 35059, 30410, 13, 32892, 44806, 31896, 42384, 45443, 33063, 32354, 32551, 33188, 32004, 31208, 32175, 32242, 32664, 32854, 31601, 32325, 34045, 227, 191, 143, 32000, 29871, 32000, 35764, 32278, 40803, 32009, 32878, 32266, 13, 41781, 33094, 33313, 33351, 32000, 44491, 32963, 44933, 34091, 43959, 32495, 32004, 35482, 31104, 33313, 37530, 32000, 44491, 33120, 44872, 13, 32896, 32043, 42938, 31705, 32008, 50414, 32009, 32854, 32598, 32940, 33313, 37609, 31643, 35931, 33998, 33301, 32002, 32415, 35451, 32278, 41080, 32039, 35066, 31614, 34515, 13, 36095, 32354, 33094, 31104, 33313, 32371, 32278, 39949, 31601, 32013, 36809, 32000, 29871, 32000, 13, 32255, 32415, 37492, 32012, 32789, 32127, 40487, 35353, 33527, 44292, 34107, 42384, 34543, 32000, 33984, 32175, 32242, 43870, 37526, 40799, 51511, 34959, 13, 31643, 32201, 32278, 32467, 34360, 37492, 33948, 32002, 34506, 34926, 33120, 44872, 35353, 39492, 40123, 32715, 32467, 34360, 36282, 32354, 13, 32242, 32030, 227, 191, 143, 32000, 29871, 34253, 35299, 35353, 41233, 32013, 58367, 32039, 50414, 32039, 56760, 32467, 34360, 37492, 33027, 32000, 29871, 32000, 31208, 32175, 32242, 43870, 13, 37526, 40799, 51511, 34512, 32017, 32201, 32278, 32467, 34360, 37492, 34543, 32000, 45230, 32017, 32201, 32278, 44292, 34107, 31104, 32009, 32136, 41080, 32039, 37530, 39101, 13, 31034, 41442, 39633, 46077, 39898, 32008, 34031, 33301, 32002, 33072, 38998, 32110, 31208, 32175, 32242, 32007, 32000, 34304, 36708, 32137, 32206, 34091, 44292, 38033, 32354, 13, 32136, 33119, 32579, 45836, 32548, 33250, 33226, 32060, 33748, 32000, 44491, 32612, 32120, 34799, 32017, 33214, 44872, 37349, 31344, 32598, 32940, 33313, 13, 33351, 33573, 32032, 32000, 45230, 32017, 32201, 32003, 37499, 32387, 31104, 32039, 36410, 46195, 32664, 60866, 50419, 35479, 50043, 32017, 32668, 32354, 13, 35210, 32002, 45230, 32017, 32201, 32278, 35083, 34413, 32008, 35479, 32054, 32017, 32668, 32354, 37530, 32000, 33172, 32218, 32230, 32611, 13, 36708, 32033, 32000, 45230, 32017, 32201, 32278, 33484, 32060, 47169, 33313, 33351, 32256, 32461, 32278, 32764, 32013, 37530, 32000, 44491, 32612, 32017, 33475, 32354, 13, 31643, 39652, 31104, 32664, 60866, 32039, 32681, 40872, 32002, 34304, 36708, 35520, 42864, 31643, 36210, 31104, 33313, 39972, 32017, 32201, 32278, 45427, 32703, 13, 38396, 32000, 29871, 32000, 40151, 36260, 32745, 32017, 32016, 47594, 32009, 32459, 32157, 32057, 32098, 32000, 29871, 32000, 43887, 31104, 32325, 35210, 33288, 32069, 36276, 32354, 13, 32420, 13, 13, 50390, 32325, 38398, 32649, 32017, 35312, 42384, 33317, 32088, 47124, 35964, 31644, 33313, 31326, 31643, 32000, 13, 32271, 29929, 13, 31034, 41442, 39633, 47111, 31896, 31326, 32016, 31344, 32039, 32551, 38167, 32007, 32000, 34304, 32551, 32056, 41778, 36598, 33160, 33563, 32203, 41353, 32992, 32242, 49793, 32975, 13, 50332, 31452, 36163, 32088, 32664, 39949, 31601, 32038, 43742, 32664, 60866, 32039, 32551, 32017, 32598, 32940, 33313, 33351, 32218, 35692, 32278, 39401, 32032, 32000, 37228, 32745, 30410, 13, 31643, 32016, 47594, 32009, 32459, 32899, 37024, 31344, 32060, 37499, 32278, 32048, 58695, 32038, 43742, 32664, 60866, 50419, 35479, 32054, 32017, 32668, 32354, 13, 37530, 32000, 37228, 32745, 35083, 34413, 32008, 35479, 32054, 47924, 32000, 29871, 32000, 32382, 32218, 42488, 39258, 32000, 13, 36260, 32745, 32028, 32017, 32016, 47594, 32009, 32459, 32157, 33667, 36617, 54811, 41233, 32013, 37530, 32000, 32000, 34304, 39949, 31601, 32056, 35081, 32012, 13, 43742, 32664, 60866, 32039, 36598, 32009, 38974, 32548, 40872, 32002, 34673, 46027, 35520, 42864, 31643, 36210, 31104, 33313, 36260, 32745, 32278, 45427, 32281, 32098, 32000, 29871, 32000, 13, 32382, 36224, 34512, 32017, 32201, 32278, 37701, 35210, 40191, 33661, 32000, 33072, 31104, 32354, 37024, 31344, 50045, 32013, 32278, 31344, 32009, 36260, 32120, 32017, 35312, 42384, 32000, 13, 40487, 37024, 31344, 37049, 32017, 33950, 32009, 45485, 29871, 32000, 36095, 32354, 32611, 38992, 32013, 36013, 32067, 32043, 45026, 32000, 32415, 32016, 47594, 32009, 32459, 30410, 13, 32175, 36264, 33027, 32000, 29871, 32000, 33451, 33120, 44872, 35353, 39492, 40123, 32715, 42488, 32835, 34543, 32000, 32415, 32013, 32715, 30410, 13, 44704, 33313, 35353, 34779, 52140, 31326, 32009, 35353, 37691, 32026, 44292, 32013, 31614, 32000, 35092, 44739, 37055, 34790, 35402, 32203, 39898, 32008, 32715, 32975, 13, 32242, 32007, 32000, 43698, 52140, 31326, 32009, 33557, 32230, 36095, 43836, 42164, 50527, 32325, 32551, 32000, 45861, 32006, 32272, 32039, 49246, 40151, 32611, 32278, 32764, 32013, 13, 37530, 32000, 32415, 35402, 32011, 40908, 34205, 32000, 34506, 34926, 33298, 32162, 31326, 32120, 32495, 32000, 43517, 32069, 32327, 32008, 36264, 32203, 13, 34773, 32000, 32415, 32016, 47594, 32009, 31232, 61215, 41835, 32203, 42880, 36505, 37144, 34579, 32197, 32009, 33697, 32002, 50430, 32376, 33313, 40211, 44189, 13, 32175, 36013, 32007, 32000, 38065, 34515, 32272, 32039, 36704, 32325, 32611, 61138, 32155, 34932, 32017, 35583, 33301, 32002, 29871, 32009, 13, 37123, 32013, 34839, 45683, 32000, 34506, 34926, 33298, 32162, 31326, 33120, 44872, 35353, 32387, 32039, 32551, 39741, 37530, 32000, 39381, 35081, 32155, 32017, 33475, 32354, 13, 31643, 32157, 32015, 32000, 34304, 37583, 31601, 51036, 32164, 32548, 38396, 32000, 29871, 32000, 35764, 37885, 32203, 36874, 32069, 37055, 32036, 32000, 29871, 36633, 13, 36043, 34932, 32387, 32039, 32551, 32742, 32000, 35957, 32230, 34253, 48383, 37054, 32000, 39381, 35081, 45929, 31208, 32155, 35032, 32354, 13, 32242, 32992, 33166, 32509, 32000, 45487, 42691, 34579, 34045, 31614, 32110, 47607, 31326, 35004, 32854, 32000, 29871, 34253, 35299, 36410, 41233, 32013, 58367, 32039, 50414, 32039, 33257, 32325, 13, 34682, 34360, 37492, 34543, 32000, 29871, 32094, 49246, 36410, 35782, 32367, 46737, 31644, 32039, 56760, 50438, 35305, 45651, 32000, 45853, 31401, 32367, 32664, 33011, 32278, 30410, 13, 36282, 32354, 34835, 32031, 33858, 32180, 37864, 32073, 32000, 32938, 40183, 33287, 42339, 33557, 32230, 32272, 32039, 33911, 32002, 29871, 33079, 30410, 13, 39010, 32060, 37864, 32073, 32434, 32060, 32278, 39401, 47924, 32000, 29871, 32000, 40151, 32551, 33120, 44872, 37024, 31344, 32318, 36095, 32975, 13, 32670, 13, 13, 40487, 34557, 32000, 13, 35007, 32069, 32016, 38998, 32145, 32017, 32354, 34899, 13, 32175, 36264, 52435, 32060, 41260, 32038, 43742, 32664, 60866, 32039, 33557, 32230, 32278, 32764, 32013, 33911, 32002, 29871, 40487, 37024, 31344, 32120, 32532, 13, 33894, 34413, 32008, 35479, 32017, 32668, 32354, 37530, 32000, 29871, 33079, 45942, 32009, 40487, 35353, 33484, 32060, 37609, 31643, 33813, 13, 34366, 32161, 44025, 32098, 32000, 29871, 32000, 32382, 36224, 32786, 32963, 44933, 34091, 35299, 36410, 32080, 40183, 32087, 32002, 48322, 32325, 35874, 32009, 13, 36282, 34360, 49793, 32325, 42599, 32203, 34974, 32354, 37885, 32419, 32000, 35957, 32230, 32278, 39401, 33120, 44872, 35353, 46195, 32664, 38345, 51511, 32125, 32000, 29871, 32000, 31643, 32664, 37583, 31601, 32039, 13, 35835, 33079, 45942, 32407, 32000, 29871, 40487, 37024, 31344, 55436, 32325, 32272, 32039, 31232, 61215, 41835, 32118, 49475, 33521, 35520, 34504, 32000, 29871, 32000, 13, 32255, 44491, 32038, 32677, 32060, 37798, 33523, 38635, 32543, 44806, 45394, 34543, 32000, 37489, 36983, 32280, 35353, 32489, 32001, 13, 34835, 32664, 33475, 33247, 32036, 32000, 48012, 32203, 31208, 32551, 32039, 33557, 32325, 36639, 32318, 33557, 42657, 32017, 33448, 32548, 32371, 37219, 45894, 32975, 13, 32039, 38258, 32354, 36448, 32180, 31326, 37349, 31344, 32020, 32000, 29871, 35959, 32395, 35141, 32017, 32664, 48166, 49340, 32123, 31104, 32039, 36410, 32664, 37583, 31601, 32039, 37491, 37349, 32278, 30410, 13, 31705, 32000, 32283, 33251, 34174, 32223, 32004, 34835, 52311, 32278, 39401, 32030, 32002, 32217, 48383, 32201, 32876, 35351, 13, 33557, 32122, 37864, 32073, 32000, 34087, 37798, 33523, 33493, 32039, 58602, 32548, 33697, 32002, 45861, 32120, 32080, 40183, 32256, 32318, 32136, 32009, 13, 33351, 42691, 32009, 33697, 32002, 29871, 33079, 33049, 41080, 32039, 32551, 34027, 32033, 32000, 44491, 32038, 34835, 32031, 35577, 32162, 31326, 33120, 44872, 32623, 13, 32892, 45836, 31601, 60383, 32000, 35957, 32230, 34253, 33214, 44872, 37349, 31344, 32286, 32354, 37024, 31344, 36982, 43228, 52002, 32348, 32000, 35593, 30410, 13, 33199, 32256, 32318, 32136, 35931, 32241, 32527, 32000, 48012, 32203, 34545, 33493, 32039, 32551, 32222, 36287, 32000, 29871, 40487, 37024, 31344, 32579, 32325, 32098, 32975, 13, 32611, 36244, 31705, 32348, 32000, 45487, 32008, 56604, 32527, 32013, 32551, 37522, 32110, 31208, 32175, 38396, 32000, 29871, 32000, 32941, 32973, 33251, 44739, 37335, 13, 47806, 37979, 49246, 32551, 32017, 32218, 32230, 32681, 33351, 41233, 32013, 33911, 32002, 34506, 46050, 33493, 32039, 58602, 32548, 13, 33697, 32002, 51698, 33120, 44872, 38190, 32013, 38637, 41135, 32975, 36095, 32000, 29871, 32000, 32539, 39652, 31104, 32664, 60866, 32039, 33557, 32230, 32854, 31601, 32325, 33911, 32002, 13, 35835, 32432, 32489, 32668, 32354, 37530, 32000, 33984, 33052, 31344, 35320, 34091, 32376, 33085, 32551, 32197, 44872, 32371, 32854, 32007, 32000, 29871, 40487, 13, 35353, 46195, 32664, 60866, 32039, 33493, 32039, 32551, 39741, 37530, 32000, 41528, 31104, 32664, 60866, 32039, 37024, 31344, 32120, 33527, 32286, 37094, 45651, 32000, 33984, 32325, 33911, 32017, 32016, 47594, 32009, 13, 31232, 61215, 41835, 32110, 33094, 31104, 33313, 32371, 32854, 32073, 32000, 34392, 32070, 40872, 32037, 32664, 39949, 31601, 33047, 32000, 34392, 32070, 40872, 32017, 32197, 33189, 32000, 13, 33858, 32070, 40872, 32017, 32543, 45196, 38033, 50352, 32000, 34392, 32070, 40872, 32017, 32106, 34926, 32000, 35431, 32119, 33527, 32286, 32318, 36095, 31344, 32008, 13, 36264, 32203, 37024, 31344, 49730, 32611, 40517, 33567, 37798, 33523, 38635, 32543, 44806, 45394, 32000, 34087, 37798, 33523, 33493, 32039, 13, 32721, 13, 13, 50390, 32325, 38398, 32649, 32017, 35312, 42384, 33317, 32088, 47124, 35964, 31644, 33313, 31326, 31643, 32000, 13, 32271, 29929, 13, 32892, 44806, 45394, 32146, 32000, 29871, 39123, 55436, 32325, 32551, 34027, 32000, 36518, 42422, 33313, 43887, 31104, 32325, 32551, 34027, 32000, 40292, 31644, 32013, 32272, 32039, 43887, 31104, 32325, 32611, 13, 44481, 32000, 34559, 44481, 33108, 35710, 33667, 36095, 32354, 32521, 32854, 32098, 32000, 29871, 32000, 13, 32255, 37753, 35812, 32093, 32548, 35353, 32579, 44806, 31896, 41835, 32060, 39898, 42691, 39302, 31401, 32013, 32892, 44806, 45394, 34543, 32000, 33984, 38946, 45897, 37164, 32004, 35482, 31104, 32548, 13, 31326, 33052, 31326, 32000, 46267, 32164, 42379, 31401, 37164, 32004, 31401, 32013, 32892, 44806, 45394, 32000, 34304, 36095, 31344, 32376, 33313, 38614, 32004, 33493, 32039, 59204, 32098, 32000, 29871, 32000, 48900, 37199, 13, 35007, 31208, 32004, 35482, 31104, 32548, 31326, 33052, 31326, 34543, 32000, 33984, 38946, 45897, 46694, 40162, 32000, 48012, 32203, 44161, 33047, 47478, 32354, 35210, 32002, 33984, 33052, 37199, 13, 35007, 36409, 33079, 33120, 31643, 35931, 33382, 32007, 32000, 32217, 36199, 32037, 44478, 39335, 33667, 36617, 32060, 31208, 32175, 13, 32371, 32854, 32073, 32000, 34673, 31452, 32325, 33557, 32325, 32278, 42864, 31326, 52454, 32017, 32498, 32146, 32000, 39499, 55436, 32325, 33790, 34107, 32039, 36410, 32532, 32551, 41941, 13, 32242, 35075, 32020, 35520, 32371, 32854, 32073, 32000, 34559, 31208, 32175, 32480, 36874, 32069, 32659, 32548, 33052, 32039, 36410, 33448, 42691, 32009, 32554, 32013, 13, 31326, 32098, 32000, 46267, 32164, 42379, 31401, 37164, 32004, 31401, 32013, 32892, 44806, 45394, 34543, 32000, 46267, 32164, 42379, 31401, 46694, 40162, 33563, 32145, 32017, 32136, 32009, 13, 49541, 32509, 32007, 32000, 46267, 32164, 42379, 35765, 33079, 33120, 31643, 35931, 54451, 32975, 36095, 32000, 29871, 32000, 32077, 36199, 32037, 44478, 32180, 35835, 31401, 32013, 13, 32551, 32889, 31104, 33313, 33697, 32164, 42379, 31401, 32008, 32802, 52454, 32017, 32498, 32146, 32000, 45546, 55436, 32325, 32845, 35351, 32272, 32039, 36410, 32532, 32611, 31401, 32013, 13, 35359, 59806, 32000, 32415, 32016, 32459, 31208, 32256, 39741, 35353, 33448, 42691, 32009, 32554, 33047, 32098, 32000, 29871, 32000, 32278, 36095, 31344, 32376, 33313, 38614, 32004, 33493, 32039, 13, 59204, 32032, 32000, 34304, 36095, 31344, 32376, 33313, 35984, 59290, 32000, 34506, 34926, 49832, 37530, 32272, 32007, 32000, 34304, 36095, 31344, 32376, 32894, 13, 33079, 33120, 31643, 35931, 45988, 32000, 32217, 36199, 32037, 33905, 32325, 35835, 33493, 32039, 32551, 32889, 31104, 33313, 40152, 32002, 34304, 36095, 31344, 32084, 13, 32764, 51974, 33151, 32017, 32498, 32146, 32000, 43698, 31614, 55436, 32325, 35933, 32069, 32120, 32532, 32551, 32387, 32039, 44198, 46753, 32000, 29871, 32000, 33255, 13, 50125, 32551, 32387, 32039, 44560, 31034, 32000, 48708, 33313, 36013, 33889, 32007, 42379, 31614, 32119, 33448, 42691, 32009, 32554, 33047, 32098, 32000, 29871, 32000, 60850, 32093, 32548, 13, 38293, 31896, 41835, 32060, 39898, 42691, 32009, 31401, 32013, 32892, 44806, 45394, 32146, 32000, 37753, 35812, 32093, 32548, 39898, 42691, 32009, 50742, 32037, 32664, 39949, 31601, 32013, 37530, 32000, 42594, 30410, 13, 33199, 33527, 32286, 33120, 44872, 35353, 33049, 32017, 32136, 35444, 32000, 42594, 32071, 32419, 32010, 35835, 34545, 34835, 32742, 32000, 13, 40957, 32009, 34736, 32022, 33079, 33120, 31643, 35931, 34443, 32000, 39499, 33935, 40517, 32069, 33954, 32491, 32003, 13, 32521, 32854, 32000, 34087, 39898, 42691, 39302, 31401, 32013, 32892, 44806, 45394, 34543, 32000, 34506, 34926, 32017, 32039, 32611, 33475, 46152, 32008, 32278, 42864, 31326, 35931, 30410, 13, 32278, 43742, 33047, 32007, 32000, 38065, 36278, 32272, 31452, 34145, 37885, 32203, 39048, 32548, 33351, 39131, 32000, 34304, 39949, 31601, 32016, 32318, 34360, 32201, 32354, 37526, 32975, 13, 32622, 13, 13, 40487, 34557, 32000, 13, 35007, 32069, 32016, 38998, 32145, 32017, 32354, 34899, 13, 32039, 33162, 44872, 33493, 32039, 45424, 32000, 29871, 32272, 32039, 34100, 32318, 33162, 35305, 32829, 40215, 32611, 38190, 32013, 32674, 32000, 34506, 35351, 13, 32242, 32664, 38345, 31104, 32579, 45196, 42384, 34932, 33509, 31896, 31344, 32088, 32007, 32000, 29871, 34253, 35183, 32008, 33709, 33120, 44872, 49189, 31104, 32325, 32611, 31344, 41114, 32000, 32415, 30410, 13, 31326, 47594, 32009, 34894, 31705, 38383, 32569, 32004, 34875, 46253, 32000, 39499, 32313, 32578, 32012, 39048, 32548, 33351, 34779, 56428, 35351, 13, 40622, 32000, 34673, 31452, 32325, 57395, 32745, 32069, 32387, 32703, 36874, 32069, 32495, 32000, 29871, 38258, 33313, 31232, 61215, 31644, 32256, 54197, 32489, 31452, 39813, 13, 34839, 32038, 34835, 32000, 48012, 32203, 32459, 32157, 33298, 32162, 31326, 34338, 34515, 32510, 32000, 33172, 32242, 31208, 32070, 32077, 44991, 35032, 30410, 13, 36013, 33954, 32119, 32017, 35312, 42384, 32000, 34304, 34243, 32013, 32278, 31344, 34579, 59062, 32110, 35482, 38171, 33189, 32017, 35451, 32278, 42484, 32000, 32415, 32016, 47594, 32009, 13, 31643, 49556, 36982, 32057, 32098, 32000, 29871, 32000, 39092, 32013, 36809, 32000, 29871, 32000, 35861, 37628, 32358, 31208, 29871, 32000, 32022, 32013, 37631, 31643, 38844, 33343, 32039, 53578, 32010, 13, 36384, 32013, 40980, 34601, 31644, 32013, 43803, 45929, 31232, 32000, 29871, 39092, 32013, 36809, 32000, 32000, 29871, 32000, 32000, 13, 32255, 45104, 33509, 31896, 31452, 33420, 32009, 31208, 32554, 41835, 32088, 45413, 36689, 32028, 45398, 31344, 32004, 42501, 32000, 32415, 32354, 34899, 32080, 31896, 32975, 13, 32371, 35007, 32069, 32016, 38998, 32012, 36095, 32354, 32278, 31344, 31452, 32054, 227, 191, 143, 32000, 34867, 31896, 31452, 40123, 36240, 32119, 32142, 45196, 31896, 33313, 33351, 60354, 32009, 32371, 32278, 31344, 37199, 13, 35066, 32543, 32000, 34304, 33011, 37565, 33488, 37313, 31896, 31601, 38383, 32036, 32004, 32623, 58585, 32548, 31208, 33557, 34926, 31601, 51222, 32000, 41183, 32125, 35200, 13, 31344, 32459, 32278, 44292, 31896, 32975, 33162, 44872, 33726, 32548, 31326, 39697, 31104, 32354, 32278, 35416, 32009, 32892, 44806, 45394, 32000, 29871, 37769, 35200, 31643, 32354, 34899, 39571, 13, 32242, 36110, 31643, 35931, 34063, 32002, 29871, 33663, 32004, 40957, 32297, 35692, 47704, 31104, 34733, 46554, 33567, 33257, 33247, 32000, 34906, 31601, 32354, 13, 31326, 37128, 32325, 41468, 32203, 42880, 32016, 31344, 35351, 37024, 31344, 33298, 32162, 31326, 32495, 32000, 39499, 33935, 32278, 32611, 40517, 32069, 32019, 13, 31034, 32548, 32701, 41038, 32327, 32628, 32000, 34559, 32077, 44292, 31896, 42384, 32158, 32659, 31208, 44708, 32039, 32510, 42422, 38225, 32117, 32000, 34304, 38407, 35351, 13, 33756, 44808, 32278, 40946, 32975, 36095, 32354, 32611, 34970, 32203, 35482, 31326, 55999, 32056, 32000, 37753, 32354, 49098, 32197, 31643, 34579, 31896, 36730, 35200, 13, 35874, 32009, 38104, 32201, 32009, 32521, 32539, 43165, 32000, 34933, 32786, 44808, 32278, 32038, 32887, 32421, 58367, 32039, 32278, 43742, 32009, 43270, 31104, 35847, 32017, 32201, 31034, 32000, 13, 31643, 32201, 49265, 36095, 31344, 32549, 32940, 33313, 49308, 35399, 32017, 35451, 38981, 32297, 33313, 32278, 32382, 32892, 32000, 33794, 32004, 32432, 44808, 32278, 30410, 13, 45701, 32325, 38175, 35066, 30410, 34579, 31896, 31601, 32013, 32611, 35933, 32000, 34713, 36567, 42377, 33354, 32009, 36013, 32085, 40873, 32142, 45836, 31326, 36224, 31601, 32009, 13, 37471, 32069, 32000, 37362, 32664, 40803, 32009, 37938, 32110, 32623, 50332, 31452, 32354, 32360, 39465, 32842, 32000, 33172, 34050, 32354, 32272, 32009, 13, 43561, 35492, 32016, 36949, 32013, 52980, 38258, 40564, 42547, 32000, 45853, 32548, 32715, 32975, 32789, 34790, 32354, 34899, 32668, 32354, 32521, 13, 32822, 13, 13, 50390, 32325, 38398, 32649, 32017, 35312, 42384, 33317, 32088, 47124, 35964, 31644, 33313, 31326, 31643, 32000, 13, 32271, 29929, 13, 54940, 44808, 32278, 32000, 48078, 31208, 32325, 44065, 32664, 31344, 31452, 45167, 32110, 41964, 32354, 34013, 32093, 32509, 32000, 34728, 31614, 32426, 13, 31208, 32175, 33351, 32862, 32073, 46289, 32551, 37656, 31896, 36730, 32180, 36322, 32000, 34087, 31643, 32354, 34899, 32664, 31344, 31452, 32054, 45894, 32354, 32611, 32278, 32812, 32548, 13, 34504, 32318, 31326, 32000, 36878, 32318, 38440, 518, 29914, 25580, 29962, 8853, 1028, 550, 1115, 5159, 29913, 2]
+inputs:
+<s> [INST] Extract the bibliographic TITLE from the Tibetan segment below. Reply with JSON only using the key "spans". Each span must include "text", "start", and "end" (0-based character offsets relative to the segment text, inclusive at end). Every span text must be an exact substring of the input. If there is no title, reply: {"spans": []}.
+་མཁའི་རྟགས་
+སུ་དཀར་པོར་འཆར་བ་སྟེ། འབྱུང་བ་བཀོལ་དུ་མ་ཆུན་ན། གང་ཟག་གི་ཁམས་སུ་
+ཅི་ལྟར་ཤས་ཆེ་བའི་ཁ་དོག་འཆར་བ་སྟེ། འབྱུང་བ་བཀོལ་ཅིང་གནད་དུ་འཆུན་ན་
+ཆ་ཚང་དུ་འབྱུང་བར་འགྱུར། དེ་ཡང་རླུང་གནད་དུ་འཆུན་ན་ཞིང་ཁམས་ལྗང་ནག་
+གི་གཞི་ལ། འོད་ཀྱི་ཁ་དོག་ལྔ་ཚང་བར་འཆར་རོ། །གཞན་གྱི་འབྱུང་བ་རྣམས་ཀྱང་
+དེ་བཞིན་ཏེ་དེ་ལས་སྣང་བའི་རྟགས་འཆར་ཏེ། འབྱུང་བ་ལྔའི་ཆོ་འཕྲུལ་མི་མཐུན་
+པ་ཕྱོགས་མེད་དུ་འཆར་བ་དང༌། བག་ཆགས་ཀྱི་སྣང་བ་ཅི་ལྟར་སྲིད་པའི་གྲངས་དུ་
+མར་འཆར་བ་དང༌། ལུང་དུ་མ་བསྟན་པ་སྤྲིན་ནམ་ན་བུན་སྨྲིག་རྒྱུ་ལྟ་བུར་འཆར་བ་
+དང་། འཁྲུལ་པའི་སྣང་བ་རིས་དྲུག་ལས་ཀྱི་བྱེ་བྲག་ཐ་དད་སྣ་ཚོགས་སུ་འཆར་བ་ལ་
+23
+
+གསུང་རབ་སྒོ་མཛོད་རིན་པོ་ཆེའི་གླེགས་བམ།
+139
+སོགས་ཆོ་འཕྲུལ་དུ་མ་འབྱུང་བར་འགྱུར་རོ། །དེ་ནས་རིག་པའི་འོད���འཆར་ཏེ། འོད་ཀྱི་
+འཁོར་ལོ་ཁ་དོག་ལྔ་དང་ལྡན་པ། ཆེ་ཆུང་མཐོ་དམན་ཆ་ཚང་གསལ་བ་དང་། རིན་
+པོ་ཆེའི་ལུ་གུ་རྒྱུད་ལྟར་འབྲེལ་ཞིང་བར་མ་ཆད་པར་འཐོར་བ་འདྲིལ་བ་ལ་སོགས་
+པའམ། དབྱིབས་དང་རྣམ་གྲངས་མ་ངེས་པ་སྣ་ཚོགས་སུ་འཆར་བར་འགྱུར་རོ། །
+དེ་ནས་དག་པའི་སྣང་བ་འཆར་ཏེ། རིན་པོ་ཆེའི་གཏེར། མེ་ཏོག་གི་གླིང་། རོལ་
+མོའི་གྲོང་ཁྱེར་བདེ་བར་གཤེགས་པའི་ཕོ་བྲང་ལ་སྐུའི་ཆོ་འཕྲུལ་ཅིར་ཡང་སྟོན་པར་
+བཞུགས་པ་དང་། འོད་དང་ཐིག་ལེའི་དཀྱིལ་འཁོར་ལ། རིགས་ལྔ་གཙོ་འཁོར་ལྷ་
+ཚོགས་ཀྱིས་བརྒྱན་པ་ལ་སོགས་གསལ་བར་འགྱུར་རོ། །དེ་ནས་ཡེ་ཤེས་ཀྱི་གདངས་
+འཆར་ཏེ། སྣང་བའི་ཆོ་འཕྲུལ་ལྔ་ལྔ་ཁ་དོག་ཆ་ཚང་དུ་འབྱུང་བ་དང་། རི་དང་
+འབྱུང་བས་མི་སྒྲིབ་ཅིང་ཐམས་ཅད་གསལ་བ་དང་། དབང་པོའི་སྒོ་རྣམས་དྭངས་
+ནས་ཅི་སྙེད་པ་ཐམས་ཅད་ཚོར་བར་འབྱུང་ངོ༌། །དེ་ནས་རིག་པའི་རྡེངས་རྟགས་
+འཆར་ཏེ། སྣང་བ་བག་ཆགས་ཀྱི་རྟགས་ཆོ་འཕྲུལ་སྣ་ཚོགས་སུ་འགྱུར་བ་ཟད་ནས།
+འོད་དང་ཐིག་ལེ་ཞིང་ཁམས་དང་། སྐུ་དང་གཞལ་ཡས་ཐམས་ཅད་འཕོ་འགྱུར་གཡོ་
+བསྐྱོད་མེད་པར་བརྟན་ཞིང་མཉམ་པར་གནས་པའོ། །དེ་ནི་ཆོ་འཕྲུལ་དྲུག་ཅེས་བྱ་
+སྟེ། །དེ་ལ་དྲོད་ཚད་ཀྱི་རྟགས་བཟུང་བ་ནི། དང་པོ་སྣང་བ་གཅིག་དུ་མ་འདྲིལ་ནས་
+ལུང་དུ་མ་བསྟན་པའི་རྟགས་སུ། སྣང་བའི་ཁ་དོག་མ་ངེས་པ་ཅིག་དུ་སོང་བ་དང་།
+སྤྲིན་ནམ་ན་བུན་སྨྲིག་སྒྱུ་ལྟ་བུར་འབྱུང་སྟེ། ངོས་བཟུང་མེད་པས་ཅི་ལྟར་འགྱུར་བར་
+འབྱུང་ངོ༌། །དེ་ནས་སྣང་བ་འདྲིལ་ཅིང་འཕྲོ་བའི་དུས་སུ། རྟགས་ལ་ཅི་ལྟར་འཆར་
+བ་ཐམས་ཅད་བྱེར་སྡུད་སྤྲིན་ལ་སེར་བུ་ཕོག་པ་ལྟ་བུ་འམ། འཐོར་འདྲིལ་དངུལ་ཆུ་
+ཐང་ལ་བོ་བ་ལྟ་བུ་འམ། མི་སྡོད་པ་བྲག་ལ་སྲན་མ་འདྲིལ་བ་ལྟ་བུའམ། སྣང་བ་རི་
+རྙིལ་ཤ་འབེབས་པ་ལྟ་བུའམ། གང་དུ་ཤར་བའི་ཆོ་འཕྲུལ་ཐམས་ཅད་ཆུ་བྲན་ཐུར་
+24
+
+སེམས་སྡེ།
+མུ་མེད་བདལ་པའི་མན་ངག
+དུ་བླུགས་པ་ལྟ་བུ་འབྱུང་ངོ་། ། དེ་ནས་སྣང་བ་སྡོད་པའི་དུས་སུ། རྟགས་ལ་ཅི་ལྟར་
+འཆར་བ་ཐམས་ཅད་ཤུགས་སུ་འཕོ་སྟེ་རིམ་པར་གཡོ་ཞིང་། དལ་དུ་འདྲིལ་ནས། ཆུ་
+བོ་ཐང་དུ་འབེབས་པ་ལྟར་འགྱུར་རོ། །དེ་ནས་སྣང་བ་གནས་པའི་དུས་སུ། རྟགས་
+ལ་ཅི་ལྟར་སྣང་བ་ཐམས་ཅད་ཡུད་ལ་གར་སྤྱིན་ལ་སྦྲང་བུ་ལྟར་ཆགས་ཤིང་། ཡུད་
+ལ་དུད་པ་སོར་ནུས་སེར་བུས་བསྐྱོད་པ་ལྟར་འབྱུང་ངོ༌། །དེ་ནས་རིག་པ་བརྟན་པའི་
+དུས་སུ། སྣང་བའི་ཆོ་འཕྲུལ་ཐམས་ཅད་འཕོ་འགྱུར་མེད་ཅིང་། གང་དུ་ཡང་གཡོ་
+བསྐྱོད་དང་བྲལ་བ་ཤིན་དུ་བརྟན་ལ་གནས་པ་འབྱུང་ངོ༌། །དེ་ནས་འབྲས་བུ་དེར་
+ཐོབ་པའི་རྟགས་སུ། སྣང་བའི་བྱེ་བྲག་མ་ལུས་པ་སེམས་ལ་རྫོགས་ཏེ། སྣང་སེམས་
+གཅིག་དུ་འདྲིལ་ནས་ཤེས་བྱ་སྣ་ཚོགས་སེམས་སུ་ཟད་ཅིང་། མཐའ་བྲལ་ཆེན་པོའི་
+དོན་རྟོགས་པར་འགྱུར་རོ། །
+༧ མཚོན་པའི་དཔེ་ཡིས་སེམས་ཀྱི་ངོ་སྤྲོད་པ་ནི། གནས་པ་གཞིའི་ཡིན་ཚུལ་ནམ་
+མཁའ་ལྟ་བུར་མཚོན་པ་དང་། རིག་པ་སེམས་ཀྱི་གནས་ཚུལ་མར་མེ་ལྟ་བུར་མཚོན་
+པ་དང༌། སྣང་བ་ཡུལ་ཀྱི་འཆར་ཚུལ་ཤེལ་སྒོང་ལྟ་བུར་མཚོན་པའོ། །གནས་པ་གཞིའི་
+ཡིན་ཚུལ་ནམ་མཁའ་ལྟ་བུར་མཚོན་པ་ནི། ནམ་མཁའ་སྤྲོས་དང་བྲལ་ཏེ་ཀུན་ལ་
+སྙོམས་པས་ཡེ་ནས་ཁྱབ་ཅིང་། བདལ་པར་གནས་པ་ལ། འབྱུང་བཞི་རི་བྲག་སྤྲིན་
+དང་ཁུ་རླངས་ཐོག་སེར་ལས་སོགས། སྣང་སྲིད་ཀྱི་མཚན་མ་ཐམས་ཅད་སྣ་ཚོགས་
+སུ་འབྱུང་བ་ནི། ནམ་མཁའི་གཡོ་རྩོལ་གྱི་ཆོ་འཕྲུལ་ལས་བྱུང་བ་དག་ཀྱང་མ་ཡིན་
+ཞིང་། ནམ་མཁའ་མ་ཡིན་པའི་གཞན་ནས་བྱུང་བ་ཡང་མ་ཡིན་ཏེ། ད་ཅི་ལྟར་དུ་
+བྱུང་ན། ནམ་མཁའ་ངང་ལས་ཤུགས་སུ་རང་བཞིན་འཆར་ཏེ། སྣང་སྲིད་མཚན་
+མའི་ཆོ་འཕྲུལ་རྣམ་གྲངས་ཀྱང་། འབྱུང་གནས་ཐིམ་རྫོགས་ནམ་མཁའ་གཡོ་བ་མེད་
+པའོ། །དེ་ལྟར་ཀུན་གཞི་མ་བཅོས་ཀ་དག་ཆེན་པོའོ། །སྟོང་ཞིང་བདག་མེད་ཀུན་
+25
+
+གསུང་རབ་སྒོ་མཛོད་རིན་པོ་ཆེའི་གླེགས་བམ།
+139
+སྙོམས་ཁྱབ་བདལ་དུ་གནས་པ་ལ། འདུ་བྱེད་དུ་མའི་རྣམ་གཅོད་རིག་པ་རྟོག་དཔྱོད་
+འཛིན་པ་པོ་འགྱུ་བའི་ཆོ་འཕྲུལ་དུ་མ་སྣ་ཚོགས་སུ་ཅིར་ཡང་འཆར་བ་ནི། ཀུན་གཞི་
+མ་བཅོས་ཀ་དག་ཉིད་ལས་གཡོའ་ཞིང་རྩོལ་བའི་ཆོ་འཕྲུལ་ལས་བྱུང་བ་ཡང་མ་ཡིན་
+ཏེ། ཀུན་གཞི་མ་ཡིན་པའི་གཞན་ནས་བྱུང་བ་ཡང་མ་ཡིན་ནོ། །དེ་ཅི་ལྟར་དུ་བྱུང་ན།
+ཀུན་གཞིའི་མ་བཅོས་ཀ་དག་ཆེན་པོའི་ངང་ཤུགས་སུ་འཆར་ཏེ།། འགྱུ་བྱེད་རྟོག་པའི་
+ཆོ་འཕྲུལ་རྣམས་གྲངས་ཀྱང་། བྱུང་གནས་ཐིམ་རྫོགས་ཀུན་གཞིའ་གཡོ་བ་མེད་པའོ། །
+དེས་ན་ནམ་མཁའ་སྣང་ཞིང་སྲིད་པའི་གཞི། བོན་ཉིད་འཁོར་འདས་ཀུན་ཀྱི་མཛོད།
+སེམས་ཉིད་སྣང་བ་མ་ལུས་ཕུག །དོན་དུ་དབྱེར་མེད་གཅིག་དུ་རྫོགས། མ་བཅོས་ཀ་
+ནས་དག་པའོ། །རིག་པ་སེམས་ཀྱི་གནས་ཚུལ་མར་མེ་ལྟར་དུ་མཚོན་པ་ནི། མར་མེ་
+ལྕགས་ཀྱི་དྲ་སྦུབས་ཀྱི་བཅུད་དུ་སྤར་ན། མེ་འོད་ཀྱི་སྙིང་པོ་ལ་མུན་པ་ཡེ་ནས་མེད་
+པ་ལ�� དྲ་སྦུབས་ཅི་ལྟར་དོད་པའི་སྐར་ཁུང་དུ། འོད་ཀྱི་གསལ་ཟེར་དེ་ལྟར་དུ་འཆར་
+ཏེ། མུན་པ་སེལ་བ་བཞིན་དུ། རིག་པ་བྱང་ཆུབ་ཀྱི་སེམས། དྲི་མེད་ཀ་ནས་དག་པ་
+ནི། མ་བཅོས་རྗེན་པ་ཆེན་པོ་གང་གི་དྲི་མས་མ་གོས་ཤིང་། བག་ཆགས་མཚན་མ་ཡེ་
+ནས་མེད་ལ། དབང་པོའི་གསལ་ཁུང་དུ་ཚོགས་དྲུག་གི་ཤེས་པ་མ་འགག་ཅིང་། ས་
+ལེར་གསལ་བ་ནི། རིག་པ་བྱང་ཆུབ་སེམས་ཀྱི་རྩལ་དུ་ཤར་ཏེ། རྣམ་རྟོག་གི་མཚན་
+མ་དག་ནས། འཁྲུལ་པ་སངས་པའོ། །དེ་ནས་རིག་པ་དྲི་མེད་སྙིང་པོ་ལས། ཚོགས་
+དྲུག་ཤེས་པ་རྩལ་དུ་ཤར། ཅི་ལྟར་སྣང་བ་མཐུན་པའི་གྲོགས། རྣམ་རྟོག་སྨག་གི་མུན་
+པ་དྭངས། ཡེ་ཤེས་མངོན་པར་ཆིབ་ཅེས་བྱ། སྣང་བ་ཡུལ་གྱི་འཆར་ཚུལ་ཤེལ་སྒོང་
+ལྟར་མཚོན་པ་ནི། ཉིན་ཟེར་གྱི་ཁུང་བུ་ལ་ཤེལ་སྒོང་བཙུགས་པས། ཁུང་བུ་འཇའ་
+ཚོན་འོད་ཀྱིས་གང་བར་འབྱུང་སྟེ། ཁ་དོག་རྣམ་གྲངས་ཅི་ལྟར་གསལ་ཡང་། ངོ་བོ་
+ཤེལ་ལས་འབྱུང་སྟེ་གཞན་ལས་འཆར་བ་མ་ཡིན་ནོ། །དེ་ལྟར་དུ་སེམས་ཉིད་གདོད་
+26
+
+སེམས་སྡེ།
+མུ་མེད་བདལ་པའི་མན་ངག
+ནས་དག་པའི་ངང་ལས་སྣང་བའི་ཆོ་འཕྲུལ་ཅི་ལྟར་འཆར་ཡང་། སེམས་ཉིད་ཀྱི་ངང་
+ལས་གཞན་ནས་བྱུང་བ་མ་ཡིན་ཏེ། ངོ་བོ་བལྟས་པས་སེམས་ཀྱི་ངང་ལས་སེམས་ཀྱི་
+ཁ་དོག་ཏུ་འཆར་བའོ། །དེས་ན་སྣང་བའི་བྱེ་བྲག་ཡུལ་གྱི་ཁ་དོག་ཀྱང་། མཐོང་ཐོས་
+ཚོར་མྱོང་རེག་པ་དྲན་རིག་ཡུལ། ཅི་ལྟར་འཆར་བ་སེམས་ཀྱི་ཆོ་འཕྲུལ་ལོ། །མ་འཁྲུལ་
+རིག་པའི་ངོ་བོ་བལྟས་པ་ཡིས། སེམས་ཉིད་སྟོང་གསལ་རྗེན་པར་ལྷན་ནེ་གནས་སོ། །
+༧ སྣང་བའི་ཡུལ་ལས་གོམས་པའི་རྩལ་བསྐྱེད་པ་ནི། ཚ་གྲང་གཉིས་ཀྱི་སྒྲ་དང་
+འོད་འཚམས་ལས། རིག་པ་གདུལ་ཅིང་རྩེ་གཅིག་ཏུ་མ་ཡེངས་པར་དབང་པོ་གཏད་
+ལ་ཐུན་རིང་བར་བཅད་དེ། བར་དུ་ཨ་ནུ་མ་འདྷ་གདུག་བྱོལ་གྱི་འཁྲུལ་འཁོར་བཅའ་
+ལ། དེའི་ཚེ་རིག་པའི་གནས་ལ་འོད་དུ་མར་འཆར་བ་དང་། མི་མཐུན་པའི་ཁ་དོག་
+ཅི་ཡང་འབྱུང་སྟེ། དེ་ལ་གོམས་པའི་རྩལ་སྦྱངས་ཤིང་། འོད་ཀྱི་ཁ་དོག་རང་གདངས་
+སུ་ཤེས་ཤིང་། ངོ་བོ་རྩལ་བྲལ་དུ་གྲོལ་ན། སྣང་བའི་འོད་ཀྱིས་བྱང་ཆུབ་སེམས་མི་
+བསླུ་ཞེས་བྱ་སྟེ། ཅི་ལྟར་སྣང་བ་ཐམས་ཅད་བོན་ཉིད་བདེ་བ་ཆེན་པོར་ཁྲོལ་ལེ། སྐུ་
+གསུམ་རང་གདངས་སུ་ལམ་མེ། རིག་པ་རང་རྩལ་དུ་ཤིག་གེ། སེམས་ཉིད་རང་འོད་
+དུ་ཝལ་ལེ། ཡེ་ནས་གཏད་མེར་དུ་ལྷུག་པར་གནས་པའོ། །ཡང་དེའི་ཚེ་འོད་ཀྱི་ཁ་
+དོག་དེ་ལས་ཟེར་དུ་མ་ཅི��ལྟར་རྣམ་གྲངས་སུ་འཆར་ཡང་། རིག་པའི་རྩལ་སྦྱངས་
+ཤིང་། དེ་བཞིན་དུ་སེམས་དམར་ཐག་གཅད་དོ། །སྒྲའི་ཆོ་འཕྲུལ་ཅི་ལྟར་བྱུང་ཡང་།
+རིག་པའི་རང་སྒྲ་ཡིན་ཏེ། གཏད་མེད་དུ་བྲག་ཆའི་ངང་དུ་གོམས་པར་བྱ་ལ། སེམས་
+ཀྱི་ཆོ་འཕྲུལ་རྩལ་དུ་ཤར་ཏེ། ཆོ་འཕྲུལ་ཉིད་ཀྱི་ངོ་བོ་བལྟས་པས། གང་ཡང་མ་བཅོས་
+རྗེན་པར་རྟོགས་པར་བྱ་སྟེ། གང་གིས་ཀྱང་མི་འགྱུར་བ། གང་གིས་ཀྱང་མ་གོས་པ།
+གང་གིས་ཀྱང་མ་བསྒྲིབས་པ། གང་གིས་ཀྱང་མ་རེག་པ། དོན་གྱི་ངོ་བོ་གདོད་ནས་
+དག་པ་ཉིད་ལ་འདུ་འབྲལ་མེད་པར་གོམས་པའི་རྩལ་བསྐྱེད། དེ་ལ་གོམས་པའི་རྩལ་
+27
+
+གསུང་རབ་སྒོ་མཛོད་རིན་པོ་ཆེའི་གླེགས་བམ།
+139
+བསྐྱེད་པས། འོད་སྣང་སྟོང་དུ་གྲོལ། སྒྲ་གྲགས་སྟོང་དུ་གྲོལ། ཟེར་གསལ་སྟོང་དུ་
+གྲོལ། དེ་ལྟར་གྲོལ་བས་བདེ་བ་ཆེན་པོའི་དོན་ཞེས་བྱའོ། །
+༧ ཉོན་མོངས་ཀྱི་རྐྱེན་ལས་ཡེ་ཤེས་ཀྱིས་ངར་བསྐྱེད་པ་ནི། གཏི་མུག་སྐྱེ་བ་ལ་རྫོངས་
+བཏབ། ཞེ་སྡང་སྐྱེ་བ་ལ་ངར་བསྐྱེད། འདོད་ཆགས་སྐྱེ་བ་ལ་རྩལ་སྦྱང་བའོ། །གཏི་
+མུག་ལ་རྫོངས་བཏབ་པ་ནི། གཏི་མུག་སྐྱེ་བའི་དུས་སུ། རིག་པ་ཧུར་བཏོན་ཞིང་། གཏི་
+མུག་གི་ངོ་བོ་སེམས་སུ་བཅད་ལ། མི་སྤང་མི་བླང་ལྷུན་གྲུབ་ཆེན་པོའི་ངང་ལས་གནས་
+པར་བྱ་སྟེ། བྱིང་ཅིང་འཐིབ་པའི་རྒྱུ་མ་གྲུབ་པས། བདེ་སྟོང་རྩ་བྲལ་གྱི་ངང་དུ་རིག་
+པ་ལྷོད་དེ་གནས་པར་བྱ་སྟེ། དེ་ལྟར་གནས་པའི་དྲི་མེད་ཟངས་ཏལ་གྱི་ཡེ་ཤེས་ཤར་
+བའོ། ཞེ་སྡང་སྐྱེ་བ་ལ་ངར་བསྐྱེད་པ་ནི། ཞེ་སྡང་སྐྱེ་བའི་དུས་སུ་རིག་པའི་མདངས་
+ཕྱུངས་ལ། ཞེ་སྡང་གི་ངོ་བོ་སེམས་སུ་བཅད་དོ། །མི་སྤང་མི་བླང་བར་རིག་པའི་ངར་
+དུ་རྟོགས་ཤིང་སྡང་ནས་ཚིག་པའི་རྒྱུ་མ་གྲུབ་པས། སྐྱེ་སྟོང་རིག་གསལ་གྱི་ངང་དུ་ངར་
+ཐོབ་པར་བྱ་སྟེ། མ་བཀག་རང་ཤར་ཀྱི་ཡེ་ཤེས་ཤར་བའོ། །འདོད་ཆགས་སྐྱེ་བ་ལ་རྩལ་
+སྦྱང་བ་ནི། འདོད་ཆགས་སྐྱེ་བའི་དུས་སུ། རིག་པ་སྤར་བཏེགས་ལ། འདོད་ཆགས་ཀྱི་
+ངོ་བོ་སེམས་སུ་བཅད་དེ། མི་སྤང་མི་བླང་རིག་པའི་རྩལ་དུ་རྟོགས་ཅིང་། འདོད་ཅིང་
+ཆགས་པའི་རྒྱུ་མ་གྲུབ་པས། དྲན་སྟོང་འཛིན་མེད་ཀྱི་ངང་དུ་རྩལ་སྦྱང་བར་བྱའོ། །དེ་
+ལྟར་དུ་རྩལ་སྦྱངས་པས། ཐོགས་མེད་སྟོབས་ལྡན་གྱི་ཡེ་ཤེས་ཤར་བའོ། །ཉོན་མོངས་
+རྐྱེན་ལས་ཡེ་ཤེས་ངར་བསྐྱེད་པས། ཉོན་མོངས་ཡེ་ཤེས་ཐ་དད་མི་འགྱུར་ཏེ། དུག་
+གསུམ་ངོ་བོ་སེམས་ཀྱི་རྩལ་མདངས་ལ། དུག་གསུམ་ཡུལ་ནི་རིག་པའི་རང་འོད་ཤར།
+རྟོགས་པས་ཡུལ་དང་ངོ་བོ་སེམས་སུ་རྫོགས། བདེ་ཆེན་འབྲལ་མེད་བོན་སྐུའི་
+ཞེས་བྱ། དེ་ལ་ཡེ་ཤེས་ཀྱིས་ངར་བསྐྱེད་པ་ནི། རིག་པ་མལ་དུ་ཚུད་ནས་འཐིབས་སུ་
+འཆོར་བ་ལ། དབང་པོ་གསིང་ལ་རིག་པ་དབྱིངས་སུ་སྤར། འགྱུ་བ་གར་མཁན་ཡིད་
+28
+
+སེམས་སྡེ།
+མུ་མེད་བདལ་པའི་མན་ངག
+ལ་ཉམས་རྩལ་སྦྱངས། གསལ་སྟོང་གཉུག་མའི་ངང་དུ་དམར་ཐག་གཅོད། རིག་
+པ་འཕྲོ་རྒོད་ཤེས་པ་ཕྱད་པོ་ལ། སྣང་བ་གནོན་ནས་ཡིད་སེམས་ཀློང་དུ་དབབ། མ་
+བཅོས་རྣལ་མའི་མཚོ་ལ་ཕོ་བྲང་གདབ། བདེ་སྟོང་མཉམ་པའི་དབྱིངས་སུ་དྲན་ཐག་
+གཅོད། བྱིང་རྒོད་གཞི་མེད་རྩ་མེད་དྲི་མེད་སེམས། ཐུགས་རྗེ་རང་ཤར་མ་སྒྲིབ་
+གསལ་བའི་འོད། རིག་པ་ཀ་དག་བྱང་ཆུབ་སྙིང་པོའི་དོན། དཔག་གིས་མི་གཞལ་མུ་
+མེད་བོན་གྱི་མཛོད། འཁོར་འདས་མཉམ་པར་རྫོགས་པ་མཐའ་དང་བྲལ། མ་བཅོས་
+མ་བསླད་བདེ་བ་ཆེན་པོའོ། །སྨར་རོ། །ཨི་ཏྲ་སིག །དང་ར་ཤིམ་ཕོད་ཧྲིལ་ཏིང་ནི་
+བེར་གུ་གྱེར་གེ་སྨར། སྨར་རོ།། །།
+༧ ཀྱེ་ཕྱི་རབས་གཤེན་པོ་རྣམས་ཀྱང་ལེགས་པའི་མཆིད་ལ་གསོན། མན་ངག་ཁྱད་
+པར་མུ་མེད་བདལ་པའི་དོན་འདི་ཡང༌། ཕྱི་མར་ཡུན་གྱི་བརྒྱགས་སུ་ངེས་པར་འདི་
+ཆེ་བས། འཇིག་རྟེན་སྒྱུ་མའི་ལས་ལ་མི་འབྲེངས་གཅིག་པུར་སྡོད། ལེ་ལོ་མེད་པས་
+དཀའ་སྤྱད་ཉམས་བླངས་བཙོན་འགྲུས་བསྐྱེད། ཐེ་ཚོམ་མེད་པས་མན་ངག་དམ་
+པ་ཉམས་སུ་ལོང་། ཉམས་ལ་རྟོགས་པ་ཤར་ཡང་རློམ་ཞེན་མེད་པར་སྒོམས། ཀུན་
+བཟང་རོལ་པ་ཆེན་པོ་བདག་ཉིད་བྱང་ཆུབ་སེམས། བདེ་ཆེན་འདུ་འབྲལ་མེད་དེ་
+སངས་རྒྱས་དེ་ཀ་ལགས། དེ་ལྟར་མི་སྤྱོད་གང་ཟག་ཐ་མལ་དོན་གྲེད་ཀྱིས། འཇིག་
+རྟེན་བསླུའ་བྲིད་དོན་དུ་འབྲེལ་པ་རྫབ་རྫོབ་བྱེད། ཉན་གསན་གོམས་མྱོང་མེད་པས་
+ཐོས་ཚད་མཁས་ཞེས་སྒྲོགས། གཞན་སྣང་བསླུའ་བའི་ཕྱི་རུ་ཚུལ་འཆོས་སྤྱོད་པ་མཁས།
+མཁས་འདོད་ཚིག་ཚོགས་རྒྱུད་ལ་གྲུབ་མཐའི་ཁ་ཤགས་འདེབས། རང་ལ་རང་བསླུའ་
+གཏོང་ཞིང་ཆེ་ས་མྱུར་དུ་འཛིན། མོས་ཞིང་དད་གུས་མེད་པས་བྱིན་བརླབས་ནུས་
+མཐུ་མེད། རྒྱུ་འབྲས་བདེན་པར་མི་འཛིན་རང་གི་དམ་ཚིག་ཉམས། དཔོན་གསས་
+སྤྱི་བོར་མི་བཀུར་གོང་མའི་ཐུགས་ཀྱིས་ཁྲེལ། ཁུངས་མེད་དཔེ་ལ་མན་ངག་ཡིན་ཞེས་
+29
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+གསུང་རབ་སྒོ་མཛོད་རིན་པོ་ཆེའི་གླེགས་བམ།
+139
+རྨོངས་པ་བསླུའ། དེ་འདྲའི་གང་ཟག་འདི་དང་ཕྱི་པར་ཉོན་རེ་མོངས། ངན་སོང་
+གནས་སུ་སྐྱེ་སྟེ་ཡུན་དུ་སྦྱོང་བར་ངེས། དེ་ལ་མན་ངག་འདི་ཡང་གཏན་དུ་འཕངས་
+སོ་གབ། བདག་གཞ [/INST] {"spans": []}</s>
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+labels:
+{"spans": []}</s>
+
Running tokenizer on dataset (num_proc=8):   0%|          | 0/1006 [00:00<?, ? examples/s]
Running tokenizer on dataset (num_proc=8):  13%|█▎        | 126/1006 [00:00<00:05, 172.08 examples/s]
Running tokenizer on dataset (num_proc=8):  50%|█████     | 504/1006 [00:00<00:00, 618.00 examples/s]
Running tokenizer on dataset (num_proc=8):  75%|███████▌  | 755/1006 [00:01<00:00, 793.39 examples/s]
Running tokenizer on dataset (num_proc=8): 100%|██████████| 1006/1006 [00:01<00:00, 711.60 examples/s]
+eval example:
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32060, 38521, 32093, 32280, 32892, 45196, 34107, 42863, 32038, 49318, 32017, 54998, 31326, 50253, 32459, 35305, 32008, 36348, 32230, 38006, 32579, 42379, 31104, 33371, 49272, 32003, 38190, 32579, 45196, 31896, 44292, 31896, 31452, 32286, 32013, 48900, 35305, 32073, 32000, 39034, 33046, 41321, 32016, 35312, 43039, 32395, 36903, 31452, 32417, 38886, 227, 193, 158, 32164, 33166, 33666, 33046, 32000, 38628, 45921, 36635, 44870, 31326, 46077, 31208, 32175, 34388, 32013, 40631, 31344, 35353, 32039, 55768, 32013, 36410, 40417, 32000, 29871, 31034, 41442, 35883, 32318, 518, 29914, 25580, 29962, 8853, 1028, 550, 1115, 5159, 29913, 2]
+inputs:
+<s> [INST] Extract the bibliographic TITLE from the Tibetan segment below. Reply with JSON only using the key "spans". Each span must include "text", "start", and "end" (0-based character offsets relative to the segment text, inclusive at end). Every span text must be an exact substring of the input. If there is no title, reply: {"spans": []}.
+་བའི་ཕྱག་རྒྱ་དང་བཅས་ཏེ། ཨོཾ་བཛྲ་ས་མཱ་ཛཿ ཛཿཧཱུྃ་བྃ་ཧོཿ ཞེས་པས་ཡེ་ཤེས་པ་སྤྱན་དྲང་། རྒྱས་པར་སྤྲོ་ན། མ་ལུས་སེམས་ཅན་ཀུན་གྱི་མགོན་གྱུར་ཅིང་སོགས་ཀྱིས་སྤྱན་༼༦༦་༣དྲེན་བྱོན་ལེགས་ཁྲུས་གསོལ། གདན་དབུལ་རྣམས་ཡོ་ག་སྤྱིའི་ཟུར་འདེབས་ལྟར་བྱ། དེ་ནས། ཨོཾ་བཛྲ་སཏྭ་ཧཱུྃ། ཨོཾ་བཛྲ་པུཥྤེ་ཧཱུྃ། དེ་བཞིན་དུ། གནྡྷེ། དྷཱུ་པེ། ཨ་ཀཱ་རོ་སོགས། ཨཱ་ལོ་ཀེ །ཤབྡ་རྣམས་སྦྱར་བས་ཉེར་སྤྱོད་ཀྱིས་མཆོད། རྡོ་རྗེ་སེམས་དཔའ་སེམས་དཔའ་ཆེ།༼༨༧་༠༦༽།ཞེས་སོགས་མཚན་བརྒྱས་བསྟོད། དེ་ནས་རྒྱ་བཞིའི་རྒྱས་འདེབས་པ་ལ། དམ་རྒྱ་ནི། ས་མ་ཡ་སྟྭཾ།༼༣༤་༦༽ཞེས་པ་ནས།༼༣༦་༠༡༽ཨོཾ་བཛྲ་ཏུ་ཥྱ་ཧོཿ ཞེས་པའི་བར་ལས་རྒྱལ་མཆོག་ལྟར་བྱའོ། །དེ་ནས་མཆོད་པ་རྒྱ་ཆེར་བཤམས་པ་བསང་སྦྱང་བྱིན་གྱིས་བརླབས་ཏེ། འཇིག་རྟེན་འདིའམ་ཕྱོགས་བཅུའི་འཇིག་རྟེན་ན།༼༦༧་༢༽།ཞེས་སོགས་མཆོད་པ་ཉེར་གཅིག །རྒྱས་པར་སྤྲོ་ན་ཉི་ཤུ་པ་དང་། ཉེར་ལྔ་པ་གཉིས། སྒེག་སོགས་བརྒྱད་རིག་མ་བཅུ་དྲུག །རིན་ཆེན་བདུན། འདོ��་ཡོན་ལྔ། བཀྲ་ཤིས་རྫས་བརྒྱད། བཀྲ་ཤིས་རྟགས་བརྒྱད། གསང་༼༧༤་༠༤༽བ་ཡུམ་བཞི་བཅས་ཀྱི་མཆོད་པ་ཡོ་ག་སྤྱིའི་ཟུར་འདེབས་ལྟར་བྱའོ། །དེ་ནས་བསྟོད་པ་ནི། སྣང་སྟོང་རྡོ་རྗེ་ནམ་མཁའི་དབྱིངས། །ཆོས་དབྱིངས་ཡེ་ཤེས་རྡོ་རྗེའི་སྐུ། །བྱང་ཆུབ་མཆོག་གི་ཕྱག་རྒྱ་ཅན། །ཕྱག་འཚལ་རྣམ་པར་སྣང་མཛད་ལ། །གཟུང་འཛིན་རྡོ་རྗེ་བརྟན་པའི་བདག །མེ་ལོང་ཡེ་ཤེས་རྡོ་རྗེའི་སྐུ། །རྡོ་རྗེ་བདུད་འདུལ་ཕྱག་རྒྱ་འཛིན། །ཕྱག་འཚལ་རྡོ་རྗེ་མི་བསྐྱོད་ལ། །རྡོ་རྗེ་རིན་ཆེན་འབར་བའི་མེ། །མཉམ་ཉིད་ཡེ་ཤེས་ངོ་བོ་ཉིད། །རྡོ་རྗེ་མཆོག་སྦྱིན་ཕྱག་རྒྱ་འཛིན། །ཕྱག་འཚལ་རིན་ཆེན་འབྱུང་ལྡན་ལ། །མཐའ་ཡས་རྡོ་རྗེ་ཆུ་ཡི་ཁམས། །ཀུན་རྟོག་ཡེ་ཤེས་ངོ་བོ་ཉིད། །རྡོ་རྗེ་ཏིང་འཛིན་ཕྱག་རྒྱ་འཛིན། །ཕྱག་འཚལ་སྣང་བ་མཐའ་ཡས་ལ། །དོན་གྲུབ་རྡོ་རྗེ་བསྐྱོད་པའི་རླུང་། །བྱ་གྲུབ་ཡེ་ཤེས་ངོ་བོ་ཉིད། །རྡོ་རྗེ་སྐྱབས་སྦྱིན་ཕྱག་རྒྱ་འཛིན། །ཕྱག་འཚལ་དོན་ཡོད་གྲུབ་པ་ལ། །སྟོང་པ་ཉིད་ཀྱི་རྡོ་རྗེ་ལས། །རྡོ་རྗེ་རིགས་རྣམས་ཀུན་གྱི་ཡུམ། །རྡོ་རྗེ་སེམས་མཆོག་རྣམ་པར་དག །ཕྱག་འཚལ་རྡོ་རྗེ་སེམས་མ་ལ། །མཚན་མ་མེད་པའི་རྡོ་རྗེ་ལས། །རིན་ཆེན་རིགས་རྣམས་ཀུན་གྱི་ཡུམ། །རྡོ་རྗེ་རིན་ཆེན་དབང་བསྐུར་མཆོག །ཕྱག་འཚལ་རིན་ཆེན་སེམས་མ་ལ། །སྨོན་པ་མེད་པའི་རྡོ་རྗེ་ལས། །པདྨའི་རིགས་རྣམས་སྐྱེད་མཛད་པ། །རྡོ་རྗེ་པདྨ་གསང་བའི་མཆོག །ཕྱག་འཚལ་ཆོས་ཀྱི་སེམས་མ་ལ། །རྡོ་རྗེ་མངོན་འདུལ་མི་བྱེད་ལ། །ལས་ཀྱི་རིགས་རྣམས་སྐྱེད་མཛད་མ། །རྡོ་རྗེ་མཆོད་ལ་རབ་ཏུ་བརྩོན། །ཕྱག་འཚལ་ལས་ཀྱི་སེམས་མ་ལ། །རྡོ་རྗེ་སེམས་དཔའ་སེམས་དཔའ་ཆེ། །རྡོ་རྗེ་དེ་བཞིན་གཤེགས་པ་ཀུན། །རྡོ་རྗེ་དང་པོ་ཀུན་ཏུ་བཟང་། །ཕྱག་འཚལ་རྡོ་རྗེ་ཁུ་ཚུར་ལ། །རྡོ་རྗེ་ཆགས་པ་རབ་སྒེག་བྱེད། །རྡོ་རྗེ་རོལ་པ་བརྩོན་བྱེད་པ། །རྡོ་རྗེ་ཀུན་གྲུབ་འགྱིང་བར་ལྡན། །ཕྱག་འཚལ་རྡོ་རྗེ་སྒེག་མོ་ལ། །རྡོ་རྗེ་རིན་ཆེན་ཕྲེང་འཛིན་མ། །རྡོ་རྗེ་དབང་བསྐུར་ཀུན་འགྲོ་ཞིང་། །རྡོ་རྗེ་ཡིད་བཞིན་ནོར་བུར་འཆང་། །ཕྱག་འཚལ་རྡོ་རྗེ་ཕྲེང་བ་ལ། །རྡོ་རྗེ་པདྨ་དབྱངས་མཁན་མ། །རྡོ་རྗེ་སངས་རྒྱས་ཤེས་རབ་སྐྱེད། །རྡོ་རྗེ་ཆོས་དོན་རབ་སྒྲོགས་པ། །ཕྱག་འཚལ་རྡོ་རྗེ་གླུ་མཁན་ལ། །རྡོ་རྗེ་གར་མཁན་འགྱིང་བག་ལྡན། །རྡོ་རྗེ་ཕྱོགས་དུས་གཟུགས་ལྡན་མ། །རྡོ་རྗེ་��ཁན་གྱི་འཁོར་ལོས་སྒྱུར། །ཕྱག་འཚལ་རྡོ་རྗེ་གར་མཁན་ལ། །རྡོ་རྗེ་ཟླ་གམ་འོད་འཕྲོ་ཞིང་། །རྡོ་རྗེ་བདུག་པས་ཚིམ་མཛད་པ། །རྡོ་རྗེ་དེ་བཞིན་གཤེགས་པའི་ཡུམ། །ཕྱག་འཚལ་རྡོ་རྗེ་བདུག་པ་ལ། །རྡོ་རྗེ་མེ་ཏོག་རབ་མཛེས་མ། །རྡོ་རྗེ་ནོར་བུ་རྡོ་རྗེ་དོན། །རྡོ་རྗེ་མཆོད་པ་བླ་ན་མེད། །ཕྱག་འཚལ་རྡོ་རྗེ་མེ་ཏོག་ལ། །རྡོ་རྗེ་སྣང་བ་རབ་རིབ་མེད། །རྡོ་རྗེ་སྤྱན་མ་དྲི་མེད་འོད། །རྡོ་རྗེ་ཀུན་ཏུ་མུན་སེལ་བ། །ཕྱག་འཚལ་རྡོ་རྗེ་སྣང་བ་ལ། །རྡོ་རྗེ་དྲི་ནི་བྱུག་པར་ལྡན། །རྡོ་རྗེ་ཚུལ་ཁྲིམས་མཆོག་འཆང་ཞིང་། །རྡོ་རྗེ་སྐུ་ཡི་རྒྱན་མཛད་མ། །ཕྱག་འཚལ་རྡོ་རྗེ་དྲི་ཆབ་ལ། །རྡོ་རྗེ་དད་པ་སྲེད་པ་ཆེ། །རྡོ་རྗེ་བདེ་གཤེགས་སྤྱན་འདྲེན་ཞིང་། །རྡོ་རྗེ་ཤུགས་ཀྱི་བརྩོན་འགྲུས་ཆེ། །ཕྱག་འཚལ་རྡོ་རྗེ་ལྕགས་ཀྱུ་ལ། །རྡོ་རྗེ་དྲན་པ་དོན་ཡོད་སྟོབས། །རྡོ་རྗེ་ཞགས་པས་འཇུག་མཛད་པ། །རྡོ་རྗེ་སྟོབས་ནི་འཇིགས་པ་པོ། །ཕྱག་འཚལ་རྡོ་རྗེ་ཞགས་པ་ལ། །རྡོ་རྗེ་ཏིང་འཛིན་རྡོ་རྗེའི་གཙོ། །རྡོ་རྗེ་ལྕགས་སྒྲོག་འཆིང་བྱེད་ཅིང་། །རྡོ་རྗེ་ཕྱོགས་སྒྲོལ་བྱེད་པ་པོ། །ཕྱག་འཚལ་རྡོ་རྗེ་ལྕགས་སྒྲོག་ལ། །རྡོ་རྗེ་ཤེས་རབ་མཆོག་འཆང་བ། །རྡོ་རྗེ་བརྟན་པས་རབ་ཏུ་འཇོམས། །རྡོ་རྗེ་སྒྲ་ཆེན་སྒྲོགས་མཛད་པ། །ཕྱག་འཚལ་རྡོ་རྗེ་དྲིལ་བུ་ལ། །སྒོ་ཡི་ཁྱམས་ན་བཞུགས་པ་ཡི། །བྱམས་པ་ལ་སོགས་བསྐལ་བཟང་རྣམས། །རབ་དགའ་ལ་སོགས་གནས་མཛད་པའི། །བྱང་ཆུབ་སེམས་དཔར་ཕྱག་འཚལ་ལོ། །ཞེས་བསྟོད་ལ། བྱང་ཆུབ་སེམས་དཔའ་རྡོ་རྗེ་ཆེ། །རྒྱལ་པོ་ཆེན་པོ་ཐུབ་པ་ཆེ། །སྤྱོད་པ་ཆེན་པོ་ཐེག་པ་ཆེ། །རྡོ་རྗེ་སེམས་དཔའ་བདག་གྲུབ་མཛོད། །རིན་ཆེན་ཆེན་པོ་རྡོ་རྗེ་ཆེ། །རྒྱལ་མཚན་ཆེན་པོ་དྲན་པ་ཆེ། །སངས་རྒྱས་དྲན་པ་རྡོ་རྗེ་ཆེ། །རྡོ་རྗེ་སེམས་དཔའ་བདག་གྲུབ་མཛོད། །འདོད་ཆགས་ཆེན་པོ་བདེ་བ་ཆེ། །བདེ་བ་ཆེན་པོ་བླ་ན་མེད། །ས་དང་ཕ་རོལ་ཕྱིན་བདེ་བ། །རྡོ་རྗེ་སེམས་དཔའ་བདག་གྲུབ་མཛོད། །ཤེས་རབ་ཆེན་པོ་རྡོ་རྗེ་ཆེ། །རྡོ་རྗེ་ཧཱུྃ་མཛད་ལས་བྱུང་བ། །བྱང་ཆུབ་སེམས་ནི་རྡོ་རྗེ་ཆེ། །རྡོ་རྗེ་སེམས་དཔའ་བདག་གྲུབ་མཛོད། །རྡོ་རྗེ་ཆེན་པོ་ཆགས་པ་ཆེ། །རྒྱལ་པོ་ཆེན་པོ་ཐུབ་པ་ཆེ། །དོན་ཡོད་རྒྱལ་པོ་རྡོ་རྗེ་མཆོག །རྡོ་རྗེ་སེམས་དཔའ་བདག་གྲུབ་མཛོད། །ཆོས་ཀྱི་སྲིད་པ་འཁོར་ལོ་ཆེ། །སྨྲ་བ་ལས་ནི་བླ་ན་མེད། །སྲུང་ཞིང་སྲུང་བ་དྲག་པོ་ཆེ། །རྡོ་རྗེ་ཁུ་ཚུར་བདག་གྲུབ་མཛོད། །ཅེས་བསྟོད་ནས། བཅོམ་ལྡན་འདས་སེམས་ཅན་ཐམས་ཅད་ལ་དངོས་གྲུབ་ཀྱི་བཀའ་དྲིན་རྒྱ་ཆེན་པོ་སྩལ་དུ་གསོལ། ཞེས་དེ་ཁོ་ན་ཉིད་བསྐུལ་ཞིང་གསོལ་བ་བཏབ་སྟེ་དཀྱིལ་འཁོར་སྒྲུབ་ཅིང་མཆོད་པའོ། །དེ་ནས་ཕྱི་རོལ་ཏུ་ཕྱིན་ནས་ཕྱི་རོལ་གཏོར་མ་གཏོང་༼༣༩་༦༽བ་དང་། ཉེ་རེག་བྱས་ནས་ནང་དུ་འོངས་ནས་སྤོས་ཀྱིས་བདུག །བསང་ཆུས་བསང་བའི་བར་ཡོ་ག་སྤྱིའི་ཟུར་འདེབས་ལྟར་བྱ། གྲུབ་ན་སྐབས་འདིར་ཞི་བའམ་ལས་ཐམས་ཅད་པའི་སྦྱིན་སྲེག་བྱའོ། །དེ་ནས་བུམ་ཆུ་མས་རིམ་གྱིས་ཨོཾ་བཛྲ་སཏྭ་ཧཱུྃ་བརྗོད་ཅིང་བསྡུས་པའི་བུམ་པ། དབུ་རྒྱན། དར་དཔྱངས། མཎྜལ། མེ་ཏོག །སྟོད་གཡོགས། སྨད་གཡོགས། མིག་དར་སོགས་མདུན་དུ་བཀོད་ལ། བླ་མའི་མཛད་པ་རྣམས་དཀྱིལ་འཁོར་གྱི་གཙོ་བོས་མཛད་པར་བསམས་ལ། ཇི་ལྟར་བལྟམས་པ་སོགས་ཁྲུས་དང་། མཎྜལ་ཕུལ་ནས་མེ་ཏོག་དང་བཅས་པས་ཐལ་མོ་སྦྱར་ཏེ། དགའ་ཆེན་ཁྱོད་བདག་སྟོན་པ་བས། །སློབ་དཔོན་ཁྱོད་ནི་དགོངས་སུ་གསོལ། །བྱང་ཆུབ་སེམས་དཔའི་ཚུལ་བསྟན་པ། །མགོན་པོ་ཆེན་པོ་བདག་འཚལ་ལོ། །དམ་ཚིག་དེ་ཉིད་བདག་ལ་སྩོལ། །སྡོམ་པ་རྣམས་ཀྱང་བདག་ལ་སྩོལ། །ཞེས་གསོལ་བ་གདབ། ཡོལ་བའི་ཕྱིར་གནས་པར་བསམས་ལ། སྟོད་གཡོགས་དང་སྨད་གཡོགས་དམར་པོ། ཨོཾ་བཛྲ་རཀྵ་ཧཾ། ཞེས་པས་བགོ །ཨོཾ་བཛྲ་ཡཀྵ་ཧཱུྃ། ཨོཾ་བཛྲ་ཨཾ་ཀུ་ཤ་ཛཿ ཨོཾ་བཛྲ་པཱ་ཤ་ཧཱུྃ། ཨོཾ་བཛྲ་སྥོ་ཊ་བཾ། ཨོཾ་བཛྲ་ཨཱ་ཝེ་ཤ་ཨཿ ཞེས་པས་གདོང་གཡོགས་བཅིང་། དེ་ནས་རང་གི་སྙིང་གར་ཨ་ལས་ཟླ་བའི་སྟེང་དུ་ཧཱུྃ་ལས་རྡོ་རྗེ་རྩེ་ལྔ་པས་མཚན་པས། ཤར་སྒོ་ནས་རྡོ་རྗེ་ཐལ་མོ་བཅིངས་ཏེ། ཨོཾ་སརྦ་ཏ་ཐཱ་ག་ཏ་པཱུ་ཛོ་པསྠཱ་ནཱ་ཡ་ཨཱཏྨ་ནཾ་ནིརྱཱ་ཏ་ཡཱ་མི་སརྦ་ཏ་ཐཱ་ག་ཏ་བཛྲ་སཏྭ་ཨ་དྷི་ཏིཥྛ་སྭ་མཱཾ། ཞེས་ཕྱག་འཚལ་བས་ཤར་གྱི་རྡོ་རྗེ་སེམས་དཔའ་ལས་རྡོ་རྗེ་སེམས་དཔའ་གཉིས་པ་ཆད་དེ་རང་གི་སྙིང་གར་ཟླ་བ་རྡོ་རྗེའི་རྣམ་པར་གནས་པར་གྱུར། དེ་ནས་དཔྲལ་བར་ཟླ་བའི་སྟེང་དུ་ཏྲཱྃ་ལས་རིན་པོ་ཆེས་མཚན་པས་ལྷོ་སྒོ་ནས་རྡོ་རྗེ་ཐལ་མོ་སྙིང་གར་སྦྱར་ཏེ། ཨོཾ་སརྦ་ཏ་ཐཱ་ག་ཏ་པཱུ་ཛ་ཨ་བྷི་ཥེ་ཀཱ་ཡ་ཨཱཏྨ་ནཾ་ནིརྱཱ་ཏ་ཡཱ་མི་སརྦ་ཏ་ཐཱ་ག་ཏ་བཛྲ་རཏྣ་ཨ་བྷི་ཥིཉྩ་མཱཾ། ཞེས་ཕྱག་འཚལ་བས་ལྷོའི་རྡོ་རྗེ་རིན་ཆེན་ལས་གཉིས་པ་ཆད་དེ་དཔྲལ་བར་ཞུགས་ནས་རྡོ་རྗེ་རིན་པོ་ཆེའི་རྣམ་པར་གནས་པར་གྱུར། དེ་ནས་ལྐོག་མར་ཟླ་བའི་སྟེང་དུ་ཧྲཱིཿལས་རྡོ་རྗེ་པདྨས་མཚན་པས་ནུབ་སྒོ་ནས་རྡོ་རྗེ་ཐལ་མོ་སྤྱི་བོར་སྦྱར་ཏེ། ཨོཾ་སརྦ་ཏ་ཐཱ་ག་ཏ་པཱུ་ཛ་པྲཱ་ཝརྟ་ནཱ་ཡ་ཨཱཏྨ་ནཾ་ནིརྱཱ་ཏ་ཡཱ་མི་སརྦ་ཏ་ཐཱ་ག་ཏ་བཛྲ་དྷརྨ་པྲ་ཝརྟ་ཡ་མཱཾ། ཞེས་ཕྱག་འཚལ་བས་ནུབ་ཀྱི་རྡོ་རྗེ་ཆོས་ལས་གཉིས་པ་ཆད་དེ་ལྐོག་མར་ཞུགས་ནས། རྡོ་རྗེ་པདྨའི་རྣམ་པར་གནས་པར་གྱུར། དེ་ནས་སྤྱྀ་བོར་ཟླ་བའི་སྟེང་དུ་ཨཱཿལས་སྣ་ཚོགས་རྡོ་རྗེ་མཚན་པས་བྱང་སྒོ་ནས་རྡོ་རྗེ་ཐལ་མོ་སྙིང་གར་ཕབ་ཅིང། ཨོཾ་བཛྲ་ཏ་ཐཱ་ག་ཏ་པཱུ་ཛ་ཀརྨ་ཎེ་ཨཱཏྨ་ནཾ་ནིརྱཱ་ཏ་ཡཱ་མི་སརྦ་ཏ་ཐཱ་ག་ཏ་བཛྲ་ཀརྨ་ཀུ་རུ་མཱཾ། ཞེས་ཕྱག་འཚལ་བས་བྱང་གི་རྡོ་རྗེ་ལས་རབ་ལས་གཉིས་པ་ཆད་དེ་སྤྱི་བོར་ཞུགས་ནས་སྣ་ཚོགས་རྡོ་རྗེའི་རྣམ་པར་གནས་པར་གྱུར། དེ་ནས་གཙོ་བོའི་ཞབས་ལ་ཕྱག་བྱས་པར་མོས་ཏེ། ཨོཾ་སརྦ་ཏ་ཐཱ་ག་ཏ་ཀཱ་ཡ་ཝཱ་ཀ་ཙིཏྟ་པྲ་ཎ་མེ་ན་བཛྲ་བནྡྷ་ནཾ་ཀ་རོ་མི། ཞེས་བརྗོད། དེ་ནས་ལག་ཏུ་མེ་ཏོག་ཐོགས་པས་ཐལ་མོ་སྦྱར་ལ། ཕྱོགས་བཅུའི་སངས་རྒྱས་དང་བྱང་ཆུབ་སེམས་དཔའ་རྣམས་དང་། དེ་བཞིན་གཤེགས་པ་དང་། རྡོ་རྗེ་དང་། རིན་པོ་ཆེ་དང་། པདྨ་དང་། ལས་ཀྱི་རིགས་སུ་བཞུགས་པ་ཐམས་ཅད་དང་། སྙིང་པོ་དང་ཕྱག་རྒྱ་དང་གསང་སྔགས་དང་རིག་སྔགས་ཀྱི་ལྷ་ཐམས་ཅད་བདག་ལ་དགོངས་སུ་གསོལ། བདག་མིང་འདི་ཞེས་བྱ་བ་ཕྱོགས་བཅུའི་སངས་རྒྱས་དང་བྱང་ཆུབ་སེམས་དཔའ་ཐམས་ཅད་ཀྱི་སྤྱན་སྔ་དང་། དེ་བཞིན་གཤེགས་པ་དང་རྡོ་རྗེ་དང་རིན་པོ་ཆེ་དང་པདྨ་དང་ལས་ཀྱི་རིགས་སུ་བཞུགས་པ་ཐམས་ཅད་དང་། སྙིང་པོ་དང་ཕྱག་རྒྱ་དང་གསང་སྔགས་དང་རིག་སྔགས་ཀྱི་ལྷ་ཐམས་ཅད་ཀྱི་སྤྱན་སྔར་སྡིག་པ་ཐམས་ཅད་བླ་ན་མེད་པའི་སོ་སོར་བཤགས་པས་སོ་སོར་བཤགས་པར་བགྱིའོ། །ཕྱོགས་བཅུ་ན་འདས་པ་དང་། མ་འོངས་པ་དང་། ད་ལྟར་བྱུང་བའི་སངས་རྒྱས་དང་བྱང་ཆུབ་སེམས་དཔའ་རྣམས་དང་། རང་སངས་རྒྱས་དང་། འཕགས་པ་ཉན་ཐོས་ཡང་དག་པར་སོང་བ་དང་། ཡང་དག་པར་ཞུགས་པ་རྣམས་དང་། སེམས་ཅན་ཐམས་ཅད་ཀྱི་ཚོགས་ཀྱི་བསོད་ནམས་ཐམས་ཅད་ལ་རྒྱ་ཆེར་རྗེས་སུ་ཡི་རང་བར་བགྱིའོ། །ཕྱོགས་བཅུའི་སངས་རྒྱས་བཅོམ་ལྡན་འདས་ཆོས་ཀྱི་འཁོར་ལོ་བསྐོར་བར་མི་མཛད་པ་ཐམས་ཅད་ལ་ཆོས་ཀྱི་འཁོར་ལོ་བསྐོར་བར་བྱ་བའི་ཕྱིར་བསྐུལ་བར་བགྱིའོ། །ཕྱོགས་བཅུའི་སངས་རྒྱས་བཅོམ་ལྡན་འདས་ཡོངས་སུ་མྱ་ངན་ལས་འདའ་བར་བཞེད་པ་གང་ཡིན་པ་དེ་ཐམས་ཅད་ལ་མྱ་ངན་ལས་མི་འདའ་བར་བཞུགས་པར་གསོལ་བར་འཚལ་ལོ་ཞེས་ལན་གསུམ་གྱིས་རྒྱུན་བཤགས་བྱ། ཇི་ལྟར་དུས་གསུམ་མགོན་པོ་རྣམས། །ཞེས་པ་ནས། སེམས་ཅན་མྱ་ངན་འདས་ལ་དགོད། །ཅེས་པའི་བར་དོན་སེམས་བཞིན་པས་རིགས་ལྔའི་སྡོམ་གཟུང་བྱ། རང་གི་སྙིང་གར་ཀུན་རྫོབ་བྱང་ཆུབ་སེམས་ཀྱི་ངོ་བོ་ཟླ་བའི་དཀྱིལ་འཁོར་ཉ་གང་བ། དེའི་སྟེང་དུ་དོན་དམ་བྱང་ཆུབ་སེམས་ཀྱི་ངོ་བོ་དང་པོའི་རྡོ་རྗེ་རྩེ་ལྔ་པ་འོད་ཟེར་འབར་བ་རེ་གྱུར་པར་བསྒོམས་ལ། ཨོཾ་སརྦ་ཡོ་ག་ཙིཏྟ་ཨུཏྤཱ་ད་ཡཱ་མི། སྙིང་གར་རྡོ་རྗེ་བཞག་སྟེ། སུ་ར་ཏེ་ས་མ་ཡ་སྟྭཾ་ཧོཿབཛྲ་སིདྡྷིཿཡ་ཐཱ་སུ་ཁཾ། ཞེས་བརྗོད། རྡོ་རྗེ་བསྡམས་པ་ལས་གུང་མོ་གཉིས་གཤིབས་ཏེ་བསྒྲེང་མཐེ་བོང་དང་མཐེའུ་ཆུང་སོ་སོར་བསྒྲེངས་པ་རྡོར་སེམས་ཀྱི་དམ་རྒྱས་རེག་སྟེ། བཛྲ་སཏྭ། ཞེས་བརྗོད་པས་རང་ཉིད་རྡོ་རྗེ་སེམས་དཔའ་དཀར་པོ་རྡོ་རྗེ་དང་དྲིལ་བུ་འཛིན་པའི་སྐུར་གྱུར། རྡོ་རྗེ་བསྡམས་པ་ལས་གུང་མོ་གཉིས་སྦྱར་ནས་བསྒྲེང་བ་སེམས་མ་རྡོ་རྗེ་མའི་དམ་རྒྱ་སློབ་མའི་སྙིང་གར་གཏུག་སྟེ། ཨོཾ་སཏྭ་བཛྲཱི་ཨ་དྷི་ཏིཥྛ་སྭ་མཱཾ། སེམས་མ་རྡོ་རྗེ་མའི་དམ་རྒྱ་ལས་གུང་མོའི་ཚིགས་གསུམ་པ་བཀུག་སྟེ་རིན་པོ་ཆེ་ལྟར་བྱས་པ་རིན་ཆེན་རྡོ་རྗེ་མའི་དམ་རྒྱ་དཔྲལ་བར་གཏུག་སྟེ། ཨོཾ་རཏྣ་བཛྲཱི་ཨ་དྷི་ཏིཥྛ་སྭ་མཱཾ། རྡོ་རྗེ་བསྡམས་པ་ལས་གུང་མོའི་རྩེ་སྤྲད་དེ་ཟླུམ་པོ་པདྨ་འདྲ་བར་བཀུག་པ་རྡོ་རྗེ་ཆོས་མའི་དམ་རྒྱ་ལྐོག་མར་གཏུག་སྟེ། ཨོཾ་དྷརྨ་བཛྲཱི་ཨ་དྷི་ཏིཥྛ་སྭ་མཱཾ། རྡོ་རྗེ་བསྡམས་པ་ལས་གུང་མོ་གཉིས་བསྒྲེང་བའི་རྒྱབ་ཏུ་མཛུབ་མོ་བཀུག་ནས་རྡོ་རྗེ་ལྟར་བྱས་པ་རྡོ་རྗེ་ལས་མའི་དམ་རྒྱ་སྤྱི་བོར་གཏུག་སྟེ། ཨོཾ་ཀརྨ་བཛྲཱི་ཨ་དྷི་ཏིཥྛ་སྭ་མཱཾ། ཞེས་བྱིན་གྱིས་བརླབས་པས་གནས་བཞིར་ཟླ་བའི་དཀྱིལ་འཁོར་གྱི་སྟེང་དུ། སྙིང་ག [/INST] {"spans": []}</s>
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-100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, -100, 8853, 1028, 550, 1115, 5159, 29913, 2][INFO|configuration_utils.py:765] 2026-06-18 08:22:24,975 >> loading configuration file config.json from cache at /root/.cache/huggingface/hub/models--YoLo2000--TiLamb-7B/snapshots/9e9426a248492fd02abfbd21d13f000456408bde/config.json
+[INFO|configuration_utils.py:839] 2026-06-18 08:22:24,977 >> Model config LlamaConfig {
+  "architectures": [
+    "LlamaForCausalLM"
+  ],
+  "attention_bias": false,
+  "attention_dropout": 0.0,
+  "bos_token_id": 1,
+  "dtype": "float16",
+  "eos_token_id": 2,
+  "head_dim": 128,
+  "hidden_act": "silu",
+  "hidden_size": 4096,
+  "initializer_range": 0.02,
+  "intermediate_size": 11008,
+  "max_position_embeddings": 4096,
+  "mlp_bias": false,
+  "model_type": "llama",
+  "num_attention_heads": 32,
+  "num_hidden_layers": 32,
+  "num_key_value_heads": 32,
+  "pretraining_tp": 1,
+  "rms_norm_eps": 1e-05,
+  "rope_scaling": null,
+  "rope_theta": 10000.0,
+  "tie_word_embeddings": false,
+  "transformers_version": "4.56.2",
+  "use_cache": true,
+  "vocab_size": 61221
+}
+
+
+labels:
+{"spans": []}</s>
+[INFO|2026-06-18 08:22:24] llamafactory.model.model_utils.kv_cache:144 >> KV cache is disabled during training.
+[WARNING|logging.py:328] 2026-06-18 08:22:25,231 >> `torch_dtype` is deprecated! Use `dtype` instead!
+[INFO|modeling_utils.py:1280] 2026-06-18 08:22:26,418 >> loading weights file pytorch_model.bin from cache at /root/.cache/huggingface/hub/models--YoLo2000--TiLamb-7B/snapshots/9e9426a248492fd02abfbd21d13f000456408bde/pytorch_model.bin.index.json
+
Fetching 2 files:   0%|          | 0/2 [00:00<?, ?it/s][INFO|safetensors_conversion.py:61] 2026-06-18 08:22:26,603 >> Attempting to create safetensors variant
+[INFO|safetensors_conversion.py:74] 2026-06-18 08:22:27,328 >> Safetensors PR exists
+
Fetching 2 files:  50%|█████     | 1/2 [01:17<01:17, 77.98s/it]
Fetching 2 files: 100%|██████████| 2/2 [01:17<00:00, 38.99s/it]
+[INFO|modeling_utils.py:1351] 2026-06-18 08:23:44,541 >> Will use dtype=torch.float16 as defined in model's config object
+[INFO|modeling_utils.py:2466] 2026-06-18 08:23:44,541 >> Instantiating LlamaForCausalLM model under default dtype torch.float16.
+[INFO|configuration_utils.py:1055] 2026-06-18 08:23:44,546 >> Generate config GenerationConfig {
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "use_cache": false
+}
+
+
Loading checkpoint shards:   0%|          | 0/2 [00:00<?, ?it/s]
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Loading checkpoint shards: 100%|██████████| 2/2 [00:01<00:00,  1.13it/s]
+[INFO|modeling_utils.py:5724] 2026-06-18 08:23:46,485 >> All model checkpoint weights were used when initializing LlamaForCausalLM.
+
+[INFO|modeling_utils.py:5732] 2026-06-18 08:23:46,485 >> All the weights of LlamaForCausalLM were initialized from the model checkpoint at YoLo2000/TiLamb-7B.
+If your task is similar to the task the model of the checkpoint was trained on, you can already use LlamaForCausalLM for predictions without further training.
+[INFO|configuration_utils.py:1010] 2026-06-18 08:23:47,324 >> loading configuration file generation_config.json from cache at /root/.cache/huggingface/hub/models--YoLo2000--TiLamb-7B/snapshots/9e9426a248492fd02abfbd21d13f000456408bde/generation_config.json
+[INFO|configuration_utils.py:1055] 2026-06-18 08:23:47,325 >> Generate config GenerationConfig {
+  "bos_token_id": 1,
+  "do_sample": true,
+  "eos_token_id": 2,
+  "max_length": 4096,
+  "pad_token_id": 0,
+  "temperature": 0.6,
+  "top_p": 0.9
+}
+
+[INFO|2026-06-18 08:23:47] llamafactory.model.model_utils.checkpointing:144 >> Gradient checkpointing enabled.
+[INFO|2026-06-18 08:23:47] llamafactory.model.model_utils.attention:144 >> Using torch SDPA for faster training and inference.
+[INFO|2026-06-18 08:23:47] llamafactory.model.adapter:144 >> Upcasting trainable params to float32.
+[INFO|2026-06-18 08:23:47] llamafactory.model.adapter:144 >> Fine-tuning method: LoRA
+[INFO|2026-06-18 08:23:47] llamafactory.model.model_utils.misc:144 >> Found linear modules: up_proj,gate_proj,k_proj,o_proj,down_proj,v_proj,q_proj
+[INFO|2026-06-18 08:23:47] llamafactory.model.loader:144 >> trainable params: 39,976,960 || all params: 7,017,771,008 || trainable%: 0.5697
+[INFO|trainer.py:757] 2026-06-18 08:23:47,985 >> Using auto half precision backend
+[WARNING|trainer.py:985] 2026-06-18 08:23:47,986 >> The tokenizer has new PAD/BOS/EOS tokens that differ from the model config and generation config. The model config and generation config were aligned accordingly, being updated with the tokenizer's values. Updated tokens: {'pad_token_id': 2}.
+[INFO|trainer.py:2523] 2026-06-18 08:23:48,203 >> ***** Running training *****
+[INFO|trainer.py:2524] 2026-06-18 08:23:48,203 >>   Num examples = 60,359
+[INFO|trainer.py:2525] 2026-06-18 08:23:48,203 >>   Num Epochs = 1
+[INFO|trainer.py:2526] 2026-06-18 08:23:48,203 >>   Instantaneous batch size per device = 1
+[INFO|trainer.py:2529] 2026-06-18 08:23:48,203 >>   Total train batch size (w. parallel, distributed & accumulation) = 16
+[INFO|trainer.py:2530] 2026-06-18 08:23:48,203 >>   Gradient Accumulation steps = 16
+[INFO|trainer.py:2531] 2026-06-18 08:23:48,203 >>   Total optimization steps = 3,773
+[INFO|trainer.py:2532] 2026-06-18 08:23:48,206 >>   Number of trainable parameters = 39,976,960
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  2%|▏         | 59/3773 [25:29<27:48:29, 26.95s/it]
  2%|▏         | 60/3773 [25:48<25:31:29, 24.75s/it]
  2%|▏         | 61/3773 [26:17<26:39:01, 25.85s/it]
  2%|▏         | 62/3773 [26:44<27:06:23, 26.30s/it]
  2%|▏         | 63/3773 [27:10<27:02:27, 26.24s/it]
  2%|▏         | 64/3773 [27:36<27:00:40, 26.22s/it]
  2%|▏         | 65/3773 [28:04<27:33:20, 26.75s/it]
  2%|▏         | 66/3773 [28:30<27:17:04, 26.50s/it]
  2%|▏         | 67/3773 [28:56<26:55:01, 26.15s/it]
  2%|▏         | 68/3773 [29:26<28:07:35, 27.33s/it]
  2%|▏         | 69/3773 [29:54<28:21:15, 27.56s/it]
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