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ik_llama.cpp crash when creating imatrix for R1

Lissanro
Jul 22nd, 2025
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  1. ~/pkgs/ik_llama.cpp/build/bin/llama-imatrix \
  2. -m /mnt/neuro/models/DeepSeek-R1-256x21B-0528-IQ4_K-163840seq/DeepSeek-R1-256x21B-0528-Q8_0.gguf \
  3. -f ~/pkgs/imatrix/compact.txt --n-gpu-layers 62 --tensor-split 25,23,26,26 \
  4. -ot "ffn_down_exps=CPU, ffn_up_exps=CPU, gate_exps=CPU" --threads 64
  5.  
  6. ggml_cuda_init: GGML_CUDA_FORCE_MMQ: no
  7. ggml_cuda_init: GGML_CUDA_FORCE_CUBLAS: no
  8. ggml_cuda_init: found 4 CUDA devices:
  9. Device 0: NVIDIA GeForce RTX 3090, compute capability 8.6, VMM: yes
  10. Device 1: NVIDIA GeForce RTX 3090, compute capability 8.6, VMM: yes
  11. Device 2: NVIDIA GeForce RTX 3090, compute capability 8.6, VMM: yes
  12. Device 3: NVIDIA GeForce RTX 3090, compute capability 8.6, VMM: yes
  13. llama_model_loader: loaded meta data with 46 key-value pairs and 1147 tensors from /mnt/neuro/models/DeepSeek-R1-256x21B-0528-IQ4_K-163840seq/DeepSeek-R1-256x21B-0528-Q8_0.gguf (version GGUF V3 (latest))
  14. llama_model_loader: Dumping metadata keys/values. Note: KV overrides do not apply in this output.
  15. llama_model_loader: - kv 0: general.architecture str = deepseek2
  16. llama_model_loader: - kv 1: general.type str = model
  17. llama_model_loader: - kv 2: general.name str = DeepSeek R1 0528
  18. llama_model_loader: - kv 3: general.version str = 0528
  19. llama_model_loader: - kv 4: general.basename str = DeepSeek-R1
  20. llama_model_loader: - kv 5: general.size_label str = 256x21B
  21. llama_model_loader: - kv 6: general.license str = mit
  22. llama_model_loader: - kv 7: deepseek2.block_count u32 = 61
  23. llama_model_loader: - kv 8: deepseek2.context_length u32 = 163840
  24. llama_model_loader: - kv 9: deepseek2.embedding_length u32 = 7168
  25. llama_model_loader: - kv 10: deepseek2.feed_forward_length u32 = 18432
  26. llama_model_loader: - kv 11: deepseek2.attention.head_count u32 = 128
  27. llama_model_loader: - kv 12: deepseek2.attention.head_count_kv u32 = 128
  28. llama_model_loader: - kv 13: deepseek2.rope.freq_base f32 = 10000.000000
  29. llama_model_loader: - kv 14: deepseek2.attention.layer_norm_rms_epsilon f32 = 0.000001
  30. llama_model_loader: - kv 15: deepseek2.expert_used_count u32 = 8
  31. llama_model_loader: - kv 16: general.file_type u32 = 7
  32. llama_model_loader: - kv 17: deepseek2.leading_dense_block_count u32 = 3
  33. llama_model_loader: - kv 18: deepseek2.vocab_size u32 = 129280
  34. llama_model_loader: - kv 19: deepseek2.attention.q_lora_rank u32 = 1536
  35. llama_model_loader: - kv 20: deepseek2.attention.kv_lora_rank u32 = 512
  36. llama_model_loader: - kv 21: deepseek2.attention.key_length u32 = 192
  37. llama_model_loader: - kv 22: deepseek2.attention.value_length u32 = 128
  38. llama_model_loader: - kv 23: deepseek2.expert_feed_forward_length u32 = 2048
  39. llama_model_loader: - kv 24: deepseek2.expert_count u32 = 256
  40. llama_model_loader: - kv 25: deepseek2.expert_shared_count u32 = 1
  41. llama_model_loader: - kv 26: deepseek2.expert_weights_scale f32 = 2.500000
  42. llama_model_loader: - kv 27: deepseek2.expert_weights_norm bool = true
  43. llama_model_loader: - kv 28: deepseek2.expert_gating_func u32 = 2
  44. llama_model_loader: - kv 29: deepseek2.rope.dimension_count u32 = 64
  45. llama_model_loader: - kv 30: deepseek2.rope.scaling.type str = yarn
  46. llama_model_loader: - kv 31: deepseek2.rope.scaling.factor f32 = 40.000000
  47. llama_model_loader: - kv 32: deepseek2.rope.scaling.original_context_length u32 = 4096
  48. llama_model_loader: - kv 33: deepseek2.rope.scaling.yarn_log_multiplier f32 = 0.100000
  49. llama_model_loader: - kv 34: tokenizer.ggml.model str = gpt2
  50. llama_model_loader: - kv 35: tokenizer.ggml.pre str = deepseek-v3
  51. llama_model_loader: - kv 36: tokenizer.ggml.tokens arr[str,129280] = ["<｜begin▁of▁sentence｜>", "<�...
  52. llama_model_loader: - kv 37: tokenizer.ggml.token_type arr[i32,129280] = [3, 3, 3, 1, 1, 1, 1, 1, 1, 1, 1, 1, ...
  53. llama_model_loader: - kv 38: tokenizer.ggml.merges arr[str,127741] = ["Ġ t", "Ġ a", "i n", "Ġ Ġ", "h e...
  54. llama_model_loader: - kv 39: tokenizer.ggml.bos_token_id u32 = 0
  55. llama_model_loader: - kv 40: tokenizer.ggml.eos_token_id u32 = 1
  56. llama_model_loader: - kv 41: tokenizer.ggml.padding_token_id u32 = 1
  57. llama_model_loader: - kv 42: tokenizer.ggml.add_bos_token bool = true
  58. llama_model_loader: - kv 43: tokenizer.ggml.add_eos_token bool = false
  59. llama_model_loader: - kv 44: tokenizer.chat_template str = {% if not add_generation_prompt is de...
  60. llama_model_loader: - kv 45: general.quantization_version u32 = 2
  61. llama_model_loader: - type f32: 361 tensors
  62. llama_model_loader: - type q8_0: 786 tensors
  63. llm_load_vocab: special tokens cache size = 818
  64. llm_load_vocab: token to piece cache size = 0.8223 MB
  65. llm_load_print_meta: format = GGUF V3 (latest)
  66. llm_load_print_meta: arch = deepseek2
  67. llm_load_print_meta: vocab type = BPE
  68. llm_load_print_meta: n_vocab = 129280
  69. llm_load_print_meta: n_merges = 127741
  70. llm_load_print_meta: vocab_only = 0
  71. llm_load_print_meta: n_ctx_train = 163840
  72. llm_load_print_meta: n_embd = 7168
  73. llm_load_print_meta: n_layer = 61
  74. llm_load_print_meta: n_head = 128
  75. llm_load_print_meta: n_head_kv = 128
  76. llm_load_print_meta: n_rot = 64
  77. llm_load_print_meta: n_swa = 0
  78. llm_load_print_meta: n_swa_pattern = 1
  79. llm_load_print_meta: n_embd_head_k = 192
  80. llm_load_print_meta: n_embd_head_v = 128
  81. llm_load_print_meta: n_gqa = 1
  82. llm_load_print_meta: n_embd_k_gqa = 24576
  83. llm_load_print_meta: n_embd_v_gqa = 16384
  84. llm_load_print_meta: f_norm_eps = 0.0e+00
  85. llm_load_print_meta: f_norm_rms_eps = 1.0e-06
  86. llm_load_print_meta: f_clamp_kqv = 0.0e+00
  87. llm_load_print_meta: f_max_alibi_bias = 0.0e+00
  88. llm_load_print_meta: f_logit_scale = 0.0e+00
  89. llm_load_print_meta: n_ff = 18432
  90. llm_load_print_meta: n_expert = 256
  91. llm_load_print_meta: n_expert_used = 8
  92. llm_load_print_meta: causal attn = 1
  93. llm_load_print_meta: pooling type = 0
  94. llm_load_print_meta: rope type = 0
  95. llm_load_print_meta: rope scaling = yarn
  96. llm_load_print_meta: freq_base_train = 10000.0
  97. llm_load_print_meta: freq_scale_train = 0.025
  98. llm_load_print_meta: n_ctx_orig_yarn = 4096
  99. llm_load_print_meta: rope_finetuned = unknown
  100. llm_load_print_meta: ssm_d_conv = 0
  101. llm_load_print_meta: ssm_d_inner = 0
  102. llm_load_print_meta: ssm_d_state = 0
  103. llm_load_print_meta: ssm_dt_rank = 0
  104. llm_load_print_meta: model type = 671B
  105. llm_load_print_meta: model ftype = Q8_0
  106. llm_load_print_meta: model params = 672.050 B
  107. llm_load_print_meta: model size = 665.308 GiB (8.504 BPW)
  108. llm_load_print_meta: repeating layers = 663.474 GiB (8.504 BPW, 670.196 B parameters)
  109. llm_load_print_meta: general.name = DeepSeek R1 0528
  110. llm_load_print_meta: BOS token = 0 '<｜begin▁of▁sentence｜>'
  111. llm_load_print_meta: EOS token = 1 '<｜end▁of▁sentence｜>'
  112. llm_load_print_meta: PAD token = 1 '<｜end▁of▁sentence｜>'
  113. llm_load_print_meta: LF token = 131 'Ä'
  114. llm_load_print_meta: max token length = 256
  115. llm_load_print_meta: n_layer_dense_lead = 3
  116. llm_load_print_meta: n_lora_q = 1536
  117. llm_load_print_meta: n_lora_kv = 512
  118. llm_load_print_meta: n_ff_exp = 2048
  119. llm_load_print_meta: n_expert_shared = 1
  120. llm_load_print_meta: expert_weights_scale = 2.5
  121. llm_load_print_meta: expert_weights_norm = 1
  122. llm_load_print_meta: expert_gating_func = sigmoid
  123. llm_load_print_meta: rope_yarn_log_mul = 0.1000
  124. llm_load_tensors: ggml ctx size = 2.34 MiB
  125. Tensor blk.3.ffn_gate_exps.weight buffer type overriden to CPU
  126. Tensor blk.3.ffn_down_exps.weight buffer type overriden to CPU
  127. Tensor blk.3.ffn_up_exps.weight buffer type overriden to CPU
  128. Tensor blk.4.ffn_gate_exps.weight buffer type overriden to CPU
  129. Tensor blk.4.ffn_down_exps.weight buffer type overriden to CPU
  130. Tensor blk.4.ffn_up_exps.weight buffer type overriden to CPU
  131. Tensor blk.5.ffn_gate_exps.weight buffer type overriden to CPU
  132. Tensor blk.5.ffn_down_exps.weight buffer type overriden to CPU
  133. Tensor blk.5.ffn_up_exps.weight buffer type overriden to CPU
  134. Tensor blk.6.ffn_gate_exps.weight buffer type overriden to CPU
  135. Tensor blk.6.ffn_down_exps.weight buffer type overriden to CPU
  136. Tensor blk.6.ffn_up_exps.weight buffer type overriden to CPU
  137. Tensor blk.7.ffn_gate_exps.weight buffer type overriden to CPU
  138. Tensor blk.7.ffn_down_exps.weight buffer type overriden to CPU
  139. Tensor blk.7.ffn_up_exps.weight buffer type overriden to CPU
  140. Tensor blk.8.ffn_gate_exps.weight buffer type overriden to CPU
  141. Tensor blk.8.ffn_down_exps.weight buffer type overriden to CPU
  142. Tensor blk.8.ffn_up_exps.weight buffer type overriden to CPU
  143. Tensor blk.9.ffn_gate_exps.weight buffer type overriden to CPU
  144. Tensor blk.9.ffn_down_exps.weight buffer type overriden to CPU
  145. Tensor blk.9.ffn_up_exps.weight buffer type overriden to CPU
  146. Tensor blk.10.ffn_gate_exps.weight buffer type overriden to CPU
  147. Tensor blk.10.ffn_down_exps.weight buffer type overriden to CPU
  148. Tensor blk.10.ffn_up_exps.weight buffer type overriden to CPU
  149. Tensor blk.11.ffn_gate_exps.weight buffer type overriden to CPU
  150. Tensor blk.11.ffn_down_exps.weight buffer type overriden to CPU
  151. Tensor blk.11.ffn_up_exps.weight buffer type overriden to CPU
  152. Tensor blk.12.ffn_gate_exps.weight buffer type overriden to CPU
  153. Tensor blk.12.ffn_down_exps.weight buffer type overriden to CPU
  154. Tensor blk.12.ffn_up_exps.weight buffer type overriden to CPU
  155. Tensor blk.13.ffn_gate_exps.weight buffer type overriden to CPU
  156. Tensor blk.13.ffn_down_exps.weight buffer type overriden to CPU
  157. Tensor blk.13.ffn_up_exps.weight buffer type overriden to CPU
  158. Tensor blk.14.ffn_gate_exps.weight buffer type overriden to CPU
  159. Tensor blk.14.ffn_down_exps.weight buffer type overriden to CPU
  160. Tensor blk.14.ffn_up_exps.weight buffer type overriden to CPU
  161. Tensor blk.15.ffn_gate_exps.weight buffer type overriden to CPU
  162. Tensor blk.15.ffn_down_exps.weight buffer type overriden to CPU
  163. Tensor blk.15.ffn_up_exps.weight buffer type overriden to CPU
  164. Tensor blk.16.ffn_gate_exps.weight buffer type overriden to CPU
  165. Tensor blk.16.ffn_down_exps.weight buffer type overriden to CPU
  166. Tensor blk.16.ffn_up_exps.weight buffer type overriden to CPU
  167. Tensor blk.17.ffn_gate_exps.weight buffer type overriden to CPU
  168. Tensor blk.17.ffn_down_exps.weight buffer type overriden to CPU
  169. Tensor blk.17.ffn_up_exps.weight buffer type overriden to CPU
  170. Tensor blk.18.ffn_gate_exps.weight buffer type overriden to CPU
  171. Tensor blk.18.ffn_down_exps.weight buffer type overriden to CPU
  172. Tensor blk.18.ffn_up_exps.weight buffer type overriden to CPU
  173. Tensor blk.19.ffn_gate_exps.weight buffer type overriden to CPU
  174. Tensor blk.19.ffn_down_exps.weight buffer type overriden to CPU
  175. Tensor blk.19.ffn_up_exps.weight buffer type overriden to CPU
  176. Tensor blk.20.ffn_gate_exps.weight buffer type overriden to CPU
  177. Tensor blk.20.ffn_down_exps.weight buffer type overriden to CPU
  178. Tensor blk.20.ffn_up_exps.weight buffer type overriden to CPU
  179. Tensor blk.21.ffn_gate_exps.weight buffer type overriden to CPU
  180. Tensor blk.21.ffn_down_exps.weight buffer type overriden to CPU
  181. Tensor blk.21.ffn_up_exps.weight buffer type overriden to CPU
  182. Tensor blk.22.ffn_gate_exps.weight buffer type overriden to CPU
  183. Tensor blk.22.ffn_down_exps.weight buffer type overriden to CPU
  184. Tensor blk.22.ffn_up_exps.weight buffer type overriden to CPU
  185. Tensor blk.23.ffn_gate_exps.weight buffer type overriden to CPU
  186. Tensor blk.23.ffn_down_exps.weight buffer type overriden to CPU
  187. Tensor blk.23.ffn_up_exps.weight buffer type overriden to CPU
  188. Tensor blk.24.ffn_gate_exps.weight buffer type overriden to CPU
  189. Tensor blk.24.ffn_down_exps.weight buffer type overriden to CPU
  190. Tensor blk.24.ffn_up_exps.weight buffer type overriden to CPU
  191. Tensor blk.25.ffn_gate_exps.weight buffer type overriden to CPU
  192. Tensor blk.25.ffn_down_exps.weight buffer type overriden to CPU
  193. Tensor blk.25.ffn_up_exps.weight buffer type overriden to CPU
  194. Tensor blk.26.ffn_gate_exps.weight buffer type overriden to CPU
  195. Tensor blk.26.ffn_down_exps.weight buffer type overriden to CPU
  196. Tensor blk.26.ffn_up_exps.weight buffer type overriden to CPU
  197. Tensor blk.27.ffn_gate_exps.weight buffer type overriden to CPU
  198. Tensor blk.27.ffn_down_exps.weight buffer type overriden to CPU
  199. Tensor blk.27.ffn_up_exps.weight buffer type overriden to CPU
  200. Tensor blk.28.ffn_gate_exps.weight buffer type overriden to CPU
  201. Tensor blk.28.ffn_down_exps.weight buffer type overriden to CPU
  202. Tensor blk.28.ffn_up_exps.weight buffer type overriden to CPU
  203. Tensor blk.29.ffn_gate_exps.weight buffer type overriden to CPU
  204. Tensor blk.29.ffn_down_exps.weight buffer type overriden to CPU
  205. Tensor blk.29.ffn_up_exps.weight buffer type overriden to CPU
  206. Tensor blk.30.ffn_gate_exps.weight buffer type overriden to CPU
  207. Tensor blk.30.ffn_down_exps.weight buffer type overriden to CPU
  208. Tensor blk.30.ffn_up_exps.weight buffer type overriden to CPU
  209. Tensor blk.31.ffn_gate_exps.weight buffer type overriden to CPU
  210. Tensor blk.31.ffn_down_exps.weight buffer type overriden to CPU
  211. Tensor blk.31.ffn_up_exps.weight buffer type overriden to CPU
  212. Tensor blk.32.ffn_gate_exps.weight buffer type overriden to CPU
  213. Tensor blk.32.ffn_down_exps.weight buffer type overriden to CPU
  214. Tensor blk.32.ffn_up_exps.weight buffer type overriden to CPU
  215. Tensor blk.33.ffn_gate_exps.weight buffer type overriden to CPU
  216. Tensor blk.33.ffn_down_exps.weight buffer type overriden to CPU
  217. Tensor blk.33.ffn_up_exps.weight buffer type overriden to CPU
  218. Tensor blk.34.ffn_gate_exps.weight buffer type overriden to CPU
  219. Tensor blk.34.ffn_down_exps.weight buffer type overriden to CPU
  220. Tensor blk.34.ffn_up_exps.weight buffer type overriden to CPU
  221. Tensor blk.35.ffn_gate_exps.weight buffer type overriden to CPU
  222. Tensor blk.35.ffn_down_exps.weight buffer type overriden to CPU
  223. Tensor blk.35.ffn_up_exps.weight buffer type overriden to CPU
  224. Tensor blk.36.ffn_gate_exps.weight buffer type overriden to CPU
  225. Tensor blk.36.ffn_down_exps.weight buffer type overriden to CPU
  226. Tensor blk.36.ffn_up_exps.weight buffer type overriden to CPU
  227. Tensor blk.37.ffn_gate_exps.weight buffer type overriden to CPU
  228. Tensor blk.37.ffn_down_exps.weight buffer type overriden to CPU
  229. Tensor blk.37.ffn_up_exps.weight buffer type overriden to CPU
  230. Tensor blk.38.ffn_gate_exps.weight buffer type overriden to CPU
  231. Tensor blk.38.ffn_down_exps.weight buffer type overriden to CPU
  232. Tensor blk.38.ffn_up_exps.weight buffer type overriden to CPU
  233. Tensor blk.39.ffn_gate_exps.weight buffer type overriden to CPU
  234. Tensor blk.39.ffn_down_exps.weight buffer type overriden to CPU
  235. Tensor blk.39.ffn_up_exps.weight buffer type overriden to CPU
  236. Tensor blk.40.ffn_gate_exps.weight buffer type overriden to CPU
  237. Tensor blk.40.ffn_down_exps.weight buffer type overriden to CPU
  238. Tensor blk.40.ffn_up_exps.weight buffer type overriden to CPU
  239. Tensor blk.41.ffn_gate_exps.weight buffer type overriden to CPU
  240. Tensor blk.41.ffn_down_exps.weight buffer type overriden to CPU
  241. Tensor blk.41.ffn_up_exps.weight buffer type overriden to CPU
  242. Tensor blk.42.ffn_gate_exps.weight buffer type overriden to CPU
  243. Tensor blk.42.ffn_down_exps.weight buffer type overriden to CPU
  244. Tensor blk.42.ffn_up_exps.weight buffer type overriden to CPU
  245. Tensor blk.43.ffn_gate_exps.weight buffer type overriden to CPU
  246. Tensor blk.43.ffn_down_exps.weight buffer type overriden to CPU
  247. Tensor blk.43.ffn_up_exps.weight buffer type overriden to CPU
  248. Tensor blk.44.ffn_gate_exps.weight buffer type overriden to CPU
  249. Tensor blk.44.ffn_down_exps.weight buffer type overriden to CPU
  250. Tensor blk.44.ffn_up_exps.weight buffer type overriden to CPU
  251. Tensor blk.45.ffn_gate_exps.weight buffer type overriden to CPU
  252. Tensor blk.45.ffn_down_exps.weight buffer type overriden to CPU
  253. Tensor blk.45.ffn_up_exps.weight buffer type overriden to CPU
  254. Tensor blk.46.ffn_gate_exps.weight buffer type overriden to CPU
  255. Tensor blk.46.ffn_down_exps.weight buffer type overriden to CPU
  256. Tensor blk.46.ffn_up_exps.weight buffer type overriden to CPU
  257. Tensor blk.47.ffn_gate_exps.weight buffer type overriden to CPU
  258. Tensor blk.47.ffn_down_exps.weight buffer type overriden to CPU
  259. Tensor blk.47.ffn_up_exps.weight buffer type overriden to CPU
  260. Tensor blk.48.ffn_gate_exps.weight buffer type overriden to CPU
  261. Tensor blk.48.ffn_down_exps.weight buffer type overriden to CPU
  262. Tensor blk.48.ffn_up_exps.weight buffer type overriden to CPU
  263. Tensor blk.49.ffn_gate_exps.weight buffer type overriden to CPU
  264. Tensor blk.49.ffn_down_exps.weight buffer type overriden to CPU
  265. Tensor blk.49.ffn_up_exps.weight buffer type overriden to CPU
  266. Tensor blk.50.ffn_gate_exps.weight buffer type overriden to CPU
  267. Tensor blk.50.ffn_down_exps.weight buffer type overriden to CPU
  268. Tensor blk.50.ffn_up_exps.weight buffer type overriden to CPU
  269. Tensor blk.51.ffn_gate_exps.weight buffer type overriden to CPU
  270. Tensor blk.51.ffn_down_exps.weight buffer type overriden to CPU
  271. Tensor blk.51.ffn_up_exps.weight buffer type overriden to CPU
  272. Tensor blk.52.ffn_gate_exps.weight buffer type overriden to CPU
  273. Tensor blk.52.ffn_down_exps.weight buffer type overriden to CPU
  274. Tensor blk.52.ffn_up_exps.weight buffer type overriden to CPU
  275. Tensor blk.53.ffn_gate_exps.weight buffer type overriden to CPU
  276. Tensor blk.53.ffn_down_exps.weight buffer type overriden to CPU
  277. Tensor blk.53.ffn_up_exps.weight buffer type overriden to CPU
  278. Tensor blk.54.ffn_gate_exps.weight buffer type overriden to CPU
  279. Tensor blk.54.ffn_down_exps.weight buffer type overriden to CPU
  280. Tensor blk.54.ffn_up_exps.weight buffer type overriden to CPU
  281. Tensor blk.55.ffn_gate_exps.weight buffer type overriden to CPU
  282. Tensor blk.55.ffn_down_exps.weight buffer type overriden to CPU
  283. Tensor blk.55.ffn_up_exps.weight buffer type overriden to CPU
  284. Tensor blk.56.ffn_gate_exps.weight buffer type overriden to CPU
  285. Tensor blk.56.ffn_down_exps.weight buffer type overriden to CPU
  286. Tensor blk.56.ffn_up_exps.weight buffer type overriden to CPU
  287. Tensor blk.57.ffn_gate_exps.weight buffer type overriden to CPU
  288. Tensor blk.57.ffn_down_exps.weight buffer type overriden to CPU
  289. Tensor blk.57.ffn_up_exps.weight buffer type overriden to CPU
  290. Tensor blk.58.ffn_gate_exps.weight buffer type overriden to CPU
  291. Tensor blk.58.ffn_down_exps.weight buffer type overriden to CPU
  292. Tensor blk.58.ffn_up_exps.weight buffer type overriden to CPU
  293. Tensor blk.59.ffn_gate_exps.weight buffer type overriden to CPU
  294. Tensor blk.59.ffn_down_exps.weight buffer type overriden to CPU
  295. Tensor blk.59.ffn_up_exps.weight buffer type overriden to CPU
  296. Tensor blk.60.ffn_gate_exps.weight buffer type overriden to CPU
  297. Tensor blk.60.ffn_down_exps.weight buffer type overriden to CPU
  298. Tensor blk.60.ffn_up_exps.weight buffer type overriden to CPU
  299. llm_load_tensors: offloading 61 repeating layers to GPU
  300. llm_load_tensors: offloading non-repeating layers to GPU
  301. llm_load_tensors: offloaded 62/62 layers to GPU
  302. llm_load_tensors: CPU buffer size = 678252.85 MiB
  303. llm_load_tensors: CPU buffer size = 938.98 MiB
  304. llm_load_tensors: CUDA0 buffer size = 5182.46 MiB
  305. llm_load_tensors: CUDA1 buffer size = 3615.90 MiB
  306. llm_load_tensors: CUDA2 buffer size = 4132.46 MiB
  307. llm_load_tensors: CUDA3 buffer size = 4813.19 MiB
  308. ....................................................................................................
  309. llama_new_context_with_model: n_ctx = 512
  310. llama_new_context_with_model: n_batch = 512
  311. llama_new_context_with_model: n_ubatch = 512
  312. llama_new_context_with_model: flash_attn = 0
  313. llama_new_context_with_model: mla_attn = 0
  314. llama_new_context_with_model: attn_max_b = 0
  315. llama_new_context_with_model: fused_moe = 0
  316. llama_new_context_with_model: ser = -1, 0
  317. llama_new_context_with_model: freq_base = 10000.0
  318. llama_new_context_with_model: freq_scale = 0.025
  319. llama_kv_cache_init: CUDA0 KV buffer size = 640.00 MiB
  320. llama_kv_cache_init: CUDA1 KV buffer size = 560.00 MiB
  321. llama_kv_cache_init: CUDA2 KV buffer size = 640.00 MiB
  322. llama_kv_cache_init: CUDA3 KV buffer size = 600.00 MiB
  323. llama_new_context_with_model: KV self size = 2440.00 MiB, K (f16): 1464.00 MiB, V (f16): 976.00 MiB
  324. llama_new_context_with_model: CUDA_Host output buffer size = 0.49 MiB
  325. llama_new_context_with_model: pipeline parallelism enabled (n_copies=1)
  326. llama_new_context_with_model: CUDA0 compute buffer size = 284.50 MiB
  327. llama_new_context_with_model: CUDA1 compute buffer size = 284.50 MiB
  328. llama_new_context_with_model: CUDA2 compute buffer size = 284.50 MiB
  329. llama_new_context_with_model: CUDA3 compute buffer size = 284.50 MiB
  330. llama_new_context_with_model: CUDA_Host compute buffer size = 223.50 MiB
  331. llama_new_context_with_model: graph nodes = 3724
  332. llama_new_context_with_model: graph splits = 121
  333.  
  334. system_info: n_threads = 64 / 128 | AVX = 1 | AVX_VNNI = 0 | AVX2 = 1 | AVX512 = 0 | AVX512_VBMI = 0 | AVX512_VNNI = 0 | AVX512_BF16 = 0 | FMA = 1 | NEON = 0 | SVE = 0 | ARM_FMA = 0 | F16C = 1 | FP16_VA = 0 | WASM_SIMD = 0 | BLAS = 1 | SSE3 = 1 | SSSE3 = 1 | VSX = 0 | MATMUL_INT8 = 0 | LLAMAFILE = 1 |
  335. compute_imatrix: tokenizing the input ..
  336. compute_imatrix: tokenization took 2534.3 ms
  337. compute_imatrix: computing over 1341 chunks with batch_size 512
  338. compute_imatrix: 20.28 seconds per pass - ETA 7 hours 33.22 minutes
  339. [1]4.2513,[2]3.3145,[3]3.2452,[4]3.8238,[5]3.9399,[6]3.9669,[7]3.4416,[8]4.0370,[9]4.2832,
  340. save_imatrix: entry ' blk.60.ffn_down_exps.weight' has partial data (99.61%) 1 out of 256 experts are missing data Storing **but be aware**
  341. save_imatrix: entry ' blk.60.ffn_gate_exps.weight' has partial data (99.61%) 1 out of 256 experts are missing data Storing **but be aware**
  342. save_imatrix: entry ' blk.60.ffn_up_exps.weight' has partial data (99.61%) 1 out of 256 experts are missing data Storing **but be aware**
  343.  
  344. save_imatrix: stored collected data after 10 chunks in imatrix.dat
  345. [10]4.0118,[11]4.3044,[12]4.7460,[13]4.9698,[14]5.2880,[15]5.4671,[16]5.6436,[17]5.8014,[18]5.5139,[19]5.4143,
  346. save_imatrix: stored collected data after 20 chunks in imatrix.dat
  347. [20]5.3727,[21]5.2629,[22]5.0580,[23]5.1843,[24]5.2671,[25]5.4245,[26]5.2715,[27]4.9684,[28]4.7327,[29]4.8112,
  348. save_imatrix: stored collected data after 30 chunks in imatrix.dat
  349. [30]4.7157,[31]4.4937,[32]4.3330,[33]4.2549,[34]4.2108,[35]4.2641,[36]4.2546,[37]4.1970,[38]4.2329,[39]4.3256,
  350. save_imatrix: stored collected data after 40 chunks in imatrix.dat
  351. [40]4.3669,[41]4.2150,[42]4.0736,[43]3.9431,[44]3.8225,[45]3.7651,[46]3.7304,[47]3.8220,[48]3.8927,[49]3.9797,
  352. save_imatrix: stored collected data after 50 chunks in imatrix.dat
  353. [50]3.9220,[51]3.9597,[52]4.0366,[53]4.1133,[54]4.1574,[55]4.2307,[56]4.2788,[57]4.3386,[58]4.3781,[59]4.3708,
  354. save_imatrix: stored collected data after 60 chunks in imatrix.dat
  355. [60]4.3718,[61]4.3649,[62]4.4075,[63]4.4428,[64]4.4350,[65]4.4357,[66]4.4449,[67]4.4445,[68]4.4513,[69]4.4492,
  356. save_imatrix: stored collected data after 70 chunks in imatrix.dat
  357. [70]4.4704,[71]4.4847,[72]4.4986,[73]4.4980,[74]4.5028,[75]4.5201,[76]4.5142,[77]4.5075,[78]4.5337,[79]4.5706,
  358. save_imatrix: stored collected data after 80 chunks in imatrix.dat
  359. [80]4.5806,[81]4.5942,[82]4.6097,[83]4.6046,[84]4.6000,[85]4.5858,[86]4.6065,[87]4.6332,[88]4.6330,[89]4.6008,
  360. save_imatrix: stored collected data after 90 chunks in imatrix.dat
  361. [90]4.5759,[91]4.5466,[92]4.5199,[93]4.4945,[94]4.4662,[95]4.4499,[96]4.4673,[97]4.5049,[98]4.5562,[99]4.6118,
  362. save_imatrix: stored collected data after 100 chunks in imatrix.dat
  363. [100]4.6472,[101]4.7208,[102]4.7471,[103]4.7757,[104]4.7368,[105]4.7552,[106]4.7308,[107]4.6717,[108]4.6146,[109]4.6288,
  364. save_imatrix: stored collected data after 110 chunks in imatrix.dat
  365. [110]4.6737,[111]4.6808,[112]4.6935,[113]4.7142,[114]4.7404,[115]4.7550,[116]4.7690,[117]4.7819,[118]4.7748,[119]4.7322,
  366. save_imatrix: stored collected data after 120 chunks in imatrix.dat
  367. [120]4.6718,[121]4.6128,[122]4.5555,[123]4.5007,[124]4.4467,[125]4.4358,[126]4.4487,[127]4.4418,[128]4.4660,[129]4.4642,
  368. save_imatrix: stored collected data after 130 chunks in imatrix.dat
  369. [130]4.4949,[131]4.4934,[132]4.5129,[133]4.5157,[134]4.5286,[135]4.5312,[136]4.5504,[137]4.5330,[138]4.5070,[139]4.5156,
  370. save_imatrix: stored collected data after 140 chunks in imatrix.dat
  371. [140]4.4759,[141]4.4768,[142]4.4822,[143]4.4972,[144]4.4875,[145]4.4983,[146]4.4934,[147]4.4847,[148]4.5096,[149]4.5107,
  372. save_imatrix: stored collected data after 150 chunks in imatrix.dat
  373. [150]4.5202,[151]4.5121,[152]4.5084,[153]4.5367,[154]4.5490,[155]4.5359,[156]4.5337,[157]4.5771,[158]4.6275,[159]4.6273,
  374. save_imatrix: stored collected data after 160 chunks in imatrix.dat
  375. [160]4.6106,[161]4.5993,[162]4.6187,[163]4.6140,[164]4.6212,[165]4.6370,[166]4.6310,[167]4.6430,[168]4.6234,[169]4.6341,
  376. save_imatrix: stored collected data after 170 chunks in imatrix.dat
  377. [170]4.6727,[171]4.6668,[172]4.6574,[173]4.6692,[174]4.6480,[175]4.6303,[176]4.6158,[177]4.6291,[178]4.6399,[179]4.6543,
  378. save_imatrix: stored collected data after 180 chunks in imatrix.dat
  379. [180]4.6421,[181]4.6402,[182]4.6385,[183]4.6589,[184]4.6586,[185]4.6688,[186]4.6723,[187]4.6824,[188]4.6783,[189]4.6477,
  380. save_imatrix: stored collected data after 190 chunks in imatrix.dat
  381. [190]4.6436,[191]4.6554,[192]4.6717,[193]4.6828,[194]4.6991,[195]4.6966,[196]4.7035,[197]4.7119,[198]4.6957,[199]4.6735,
  382. save_imatrix: stored collected data after 200 chunks in imatrix.dat
  383. [200]4.6584,[201]4.6417,[202]4.6221,[203]4.5969,[204]4.5640,[205]4.5414,[206]4.5135,[207]4.4995,[208]4.4692,[209]4.4802,
  384. save_imatrix: stored collected data after 210 chunks in imatrix.dat
  385. [210]4.4797,[211]4.4738,[212]4.4684,[213]4.4515,[214]4.4547,[215]4.4592,[216]4.4630,[217]4.4829,[218]4.4774,[219]4.4702,
  386. save_imatrix: stored collected data after 220 chunks in imatrix.dat
  387. [220]4.4813,[221]4.4907,[222]4.5049,[223]4.5211,[224]4.5257,[225]4.5240,[226]4.5286,[227]4.5160,[228]4.5248,[229]4.5151,
  388. save_imatrix: stored collected data after 230 chunks in imatrix.dat
  389. [230]4.5143,[231]4.4979,[232]4.4829,[233]4.4929,[234]4.5023,[235]4.5046,[236]4.5105,[237]4.5015,[238]4.5044,[239]4.4907,
  390. save_imatrix: stored collected data after 240 chunks in imatrix.dat
  391. [240]4.4735,[241]4.4485,[242]4.4424,[243]4.4258,[244]4.4168,[245]4.3995,[246]4.3803,[247]4.3659,[248]4.3437,[249]4.3218,
  392. save_imatrix: stored collected data after 250 chunks in imatrix.dat
  393. [250]4.2986,[251]4.3060,[252]4.2987,[253]4.2927,[254]4.2888,[255]4.2824,[256]4.2934,[257]4.3040,[258]4.2925,[259]4.2932,
  394. save_imatrix: stored collected data after 260 chunks in imatrix.dat
  395. [260]4.3019,[261]4.3040,[262]4.3207,[263]4.3225,[264]4.3117,[265]4.3208,[266]4.3230,[267]4.3277,[268]4.3272,[269]4.3252,
  396. save_imatrix: stored collected data after 270 chunks in imatrix.dat
  397. [270]4.3369,[271]4.3389,[272]4.3463,[273]4.3406,[274]4.3432,[275]4.3415,[276]4.3432,[277]4.3391,[278]4.3535,[279]4.3715,
  398. save_imatrix: stored collected data after 280 chunks in imatrix.dat
  399. [280]4.3755,[281]4.3815,[282]4.3742,[283]4.3937,[284]4.3917,[285]4.3939,[286]4.3935,[287]4.4045,[288]4.3848,[289]4.3641,
  400. save_imatrix: stored collected data after 290 chunks in imatrix.dat
  401. [290]4.3754,[291]4.3805,[292]4.3694,[293]4.3749,[294]4.3742,[295]4.3759,[296]4.3790,[297]4.3855,[298]4.4020,[299]4.3952,
  402. save_imatrix: stored collected data after 300 chunks in imatrix.dat
  403. [300]4.3971,[301]4.3959,[302]4.3833,[303]4.3791,[304]4.3899,[305]4.3927,[306]4.4009,[307]4.4017,[308]4.4042,[309]4.4089,
  404. save_imatrix: stored collected data after 310 chunks in imatrix.dat
  405. [310]4.4145,[311]4.4101,[312]4.3917,[313]4.3879,[314]4.3708,[315]4.3813,[316]4.3894,[317]4.4040,[318]4.4136,[319]4.4313,
  406. save_imatrix: stored collected data after 320 chunks in imatrix.dat
  407. [320]4.4275,[321]4.4234,[322]4.4346,[323]4.4406,[324]4.4399,[325]4.4498,[326]4.4372,[327]4.4350,[328]4.4364,[329]4.4240,
  408. save_imatrix: stored collected data after 330 chunks in imatrix.dat
  409. [330]4.4321,[331]4.4236,[332]4.4375,[333]4.4325,[334]4.4283,[335]4.4337,[336]4.4220,[337]4.4071,[338]4.4012,[339]4.4090,
  410. save_imatrix: stored collected data after 340 chunks in imatrix.dat
  411. [340]4.4165,[341]4.4185,[342]4.4294,[343]4.4310,[344]4.4447,[345]4.4690,[346]4.4782,[347]4.4872,[348]4.4878,[349]4.4964,
  412. save_imatrix: stored collected data after 350 chunks in imatrix.dat
  413. [350]4.4968,[351]4.4871,[352]4.4749,[353]4.4780,[354]4.4727,[355]4.4795,[356]4.4780,[357]4.4756,[358]4.4733,[359]4.4674,
  414. save_imatrix: stored collected data after 360 chunks in imatrix.dat
  415. [360]4.4695,[361]4.4769,[362]4.4787,[363]4.4603,[364]4.4754,[365]4.4857,[366]4.4865,[367]4.4796,[368]4.4830,[369]4.4910,
  416. save_imatrix: stored collected data after 370 chunks in imatrix.dat
  417. [370]4.4848,[371]4.4961,[372]4.5096,[373]4.5065,[374]4.4918,[375]4.4849,[376]4.4902,[377]4.4759,[378]4.4716,[379]4.4727,
  418. save_imatrix: stored collected data after 380 chunks in imatrix.dat
  419. [380]4.4691,[381]4.4809,[382]4.4797,[383]4.4837,[384]4.4856,[385]4.4699,[386]4.4744,[387]4.4805,[388]4.4788,[389]4.4767,
  420. save_imatrix: stored collected data after 390 chunks in imatrix.dat
  421. [390]4.4744,[391]4.4682,[392]4.4688,[393]4.4785,[394]4.4770,[395]4.4787,[396]4.4887,[397]4.4863,[398]4.4927,[399]4.4963,
  422. save_imatrix: stored collected data after 400 chunks in imatrix.dat
  423. [400]4.4960,[401]4.5006,[402]4.5054,[403]4.5048,[404]4.5124,[405]4.5160,[406]4.5103,[407]4.5195,[408]4.5252,[409]4.5245,
  424. save_imatrix: stored collected data after 410 chunks in imatrix.dat
  425. [410]4.5260,[411]4.5297,[412]4.5403,[413]4.5469,[414]4.5520,[415]4.5514,[416]4.5587,[417]4.5525,[418]4.5580,[419]4.5647,
  426. save_imatrix: stored collected data after 420 chunks in imatrix.dat
  427. [420]4.5733,[421]4.5655,[422]4.5679,[423]4.5737,[424]4.5750,[425]4.5811,[426]4.5811,[427]4.5745,[428]4.5717,[429]4.5707,
  428. save_imatrix: stored collected data after 430 chunks in imatrix.dat
  429. [430]4.5655,[431]4.5658,[432]4.5654,[433]4.5561,[434]4.5527,[435]4.5492,[436]4.5566,[437]4.5598,[438]4.5576,[439]4.5684,
  430. save_imatrix: stored collected data after 440 chunks in imatrix.dat
  431. [440]4.5713,[441]4.5681,[442]4.5673,[443]4.5540,[444]4.5426,[445]4.5282,[446]4.5280,[447]4.5252,[448]4.5340,[449]4.5222,
  432. save_imatrix: stored collected data after 450 chunks in imatrix.dat
  433. [450]4.5217,[451]4.5186,[452]4.5274,[453]4.5313,[454]4.5244,[455]4.5264,[456]4.5230,[457]4.5262,[458]4.5326,[459]4.5353,
  434. save_imatrix: stored collected data after 460 chunks in imatrix.dat
  435. [460]4.5397,[461]4.5324,[462]4.5356,[463]4.5361,[464]4.5369,[465]4.5346,[466]4.5316,[467]4.5376,[468]4.5390,[469]4.5305,
  436. save_imatrix: stored collected data after 470 chunks in imatrix.dat
  437. [470]4.5334,[471]4.5331,[472]4.5354,[473]4.5337,[474]4.5417,[475]4.5375,[476]4.5434,[477]4.5433,[478]4.5489,[479]4.5470,
  438. save_imatrix: stored collected data after 480 chunks in imatrix.dat
  439. [480]4.5502,[481]4.5543,[482]4.5622,[483]4.5634,[484]4.5635,[485]4.5672,[486]4.5661,[487]4.5669,[488]4.5748,[489]4.5733,
  440. save_imatrix: stored collected data after 490 chunks in imatrix.dat
  441. [490]4.5791,[491]4.5818,[492]4.5846,[493]4.5946,[494]4.5908,[495]4.5884,[496]4.5890,[497]4.5919,[498]4.5983,[499]4.5932,
  442. save_imatrix: stored collected data after 500 chunks in imatrix.dat
  443. [500]4.5934,[501]4.5893,[502]4.5976,[503]4.5898,[504]4.5847,[505]4.5918,[506]4.5918,[507]4.6010,[508]4.5976,[509]4.6118,
  444. save_imatrix: stored collected data after 510 chunks in imatrix.dat
  445. [510]4.6124,[511]4.6119,[512]4.6130,[513]4.6105,[514]4.6104,[515]4.6070,[516]4.6062,[517]4.6080,[518]4.6085,[519]4.6152,
  446. save_imatrix: stored collected data after 520 chunks in imatrix.dat
  447. [520]4.6206,[521]4.6182,[522]4.6254,[523]4.6206,[524]4.6243,[525]4.6208,[526]4.6278,[527]4.6314,[528]4.6434,[529]4.6425,
  448. save_imatrix: stored collected data after 530 chunks in imatrix.dat
  449. [530]4.6407,[531]4.6354,[532]4.6262,[533]4.6238,[534]4.6252,[535]4.6192,[536]4.6237,[537]4.6203,[538]4.6197,[539]4.6241,
  450. save_imatrix: stored collected data after 540 chunks in imatrix.dat
  451. [540]4.6267,[541]4.6308,[542]4.6255,[543]4.6318,[544]4.6304,[545]4.6319,[546]4.6433,[547]4.6503,[548]4.6425,[549]4.6417,
  452. save_imatrix: stored collected data after 550 chunks in imatrix.dat
  453. [550]4.6487,[551]4.6446,[552]4.6418,[553]4.6468,[554]4.6489,[555]4.6493,[556]4.6408,[557]4.6366,[558]4.6443,[559]4.6460,
  454. save_imatrix: stored collected data after 560 chunks in imatrix.dat
  455. [560]4.6486,[561]4.6474,[562]4.6505,[563]4.6496,[564]4.6488,[565]4.6491,[566]4.6554,[567]4.6547,[568]4.6522,[569]4.6495,
  456. save_imatrix: stored collected data after 570 chunks in imatrix.dat
  457. [570]4.6464,[571]4.6479,[572]4.6499,[573]4.6486,[574]4.6554,[575]4.6555,[576]4.6592,[577]4.6565,[578]4.6647,[579]4.6679,
  458. save_imatrix: stored collected data after 580 chunks in imatrix.dat
  459. [580]4.6699,[581]4.6715,[582]4.6681,[583]4.6717,[584]4.6760,[585]4.6774,[586]4.6767,[587]4.6728,[588]4.6787,[589]4.6737,
  460. save_imatrix: stored collected data after 590 chunks in imatrix.dat
  461. [590]4.6801,[591]4.6787,[592]4.6865,[593]4.6927,[594]4.6994,[595]4.7028,[596]4.7064,[597]4.7076,[598]4.7104,[599]4.7107,
  462. save_imatrix: stored collected data after 600 chunks in imatrix.dat
  463. [600]4.7194,[601]4.7216,[602]4.7163,[603]4.7142,[604]4.7116,[605]4.7152,[606]4.7134,[607]4.7072,[608]4.7101,[609]4.7046,
  464. save_imatrix: stored collected data after 610 chunks in imatrix.dat
  465. [610]4.7034,[611]4.7087,[612]4.7070,[613]4.7071,[614]4.7125,[615]4.7114,[616]4.7246,[617]4.7291,[618]4.7262,[619]4.7303,
  466. save_imatrix: stored collected data after 620 chunks in imatrix.dat
  467. [620]4.7371,[621]4.7380,[622]4.7385,[623]4.7432,[624]4.7428,[625]4.7469,[626]4.7498,[627]4.7506,[628]4.7436,[629]4.7371,
  468. save_imatrix: stored collected data after 630 chunks in imatrix.dat
  469. [630]4.7280,[631]4.7174,[632]4.7067,[633]4.7064,[634]4.7063,[635]4.7114,[636]4.7198,[637]4.7258,[638]4.7248,[639]4.7235,
  470. save_imatrix: stored collected data after 640 chunks in imatrix.dat
  471. [640]4.7273,[641]4.7398,[642]4.7297,[643]4.7362,[644]4.7406,[645]4.7378,[646]4.7395,[647]4.7397,[648]4.7391,[649]4.7475,
  472. save_imatrix: stored collected data after 650 chunks in imatrix.dat
  473. [650]4.7445,[651]4.7473,[652]4.7539,[653]4.7520,[654]4.7514,[655]4.7515,[656]4.7478,[657]4.7437,[658]4.7403,[659]4.7340,
  474. save_imatrix: stored collected data after 660 chunks in imatrix.dat
  475. [660]4.7309,[661]4.7349,[662]4.7360,[663]4.7379,[664]4.7382,[665]4.7428,[666]4.7467,[667]4.7599,[668]4.7652,[669]4.7686,
  476. save_imatrix: stored collected data after 670 chunks in imatrix.dat
  477. [670]4.7674,[671]4.7690,[672]4.7753,[673]4.7766,[674]4.7805,[675]4.7791,[676]4.7750,[677]4.7696,[678]4.7698,[679]4.7771,
  478. save_imatrix: stored collected data after 680 chunks in imatrix.dat
  479. [680]4.7773,[681]4.7814,[682]4.7857,[683]4.7850,[684]4.7895,[685]4.7943,[686]4.7958,[687]4.8006,[688]4.7909,[689]4.8017,
  480. save_imatrix: stored collected data after 690 chunks in imatrix.dat
  481. [690]4.8114,[691]4.8106,[692]4.8080,[693]4.8101,[694]4.8120,[695]4.8129,[696]4.8154,[697]4.8140,[698]4.8066,[699]4.8094,
  482. save_imatrix: stored collected data after 700 chunks in imatrix.dat
  483. [700]4.8142,[701]4.8157,[702]4.8122,[703]4.8112,[704]4.8111,[705]4.8167,[706]4.8184,[707]4.8116,[708]4.8148,[709]4.8103,
  484. save_imatrix: stored collected data after 710 chunks in imatrix.dat
  485. [710]4.8103,[711]4.8073,[712]4.8138,[713]4.8118,[714]4.8185,[715]4.8226,[716]4.8275,[717]4.8204,[718]4.8196,[719]4.8199,
  486. save_imatrix: stored collected data after 720 chunks in imatrix.dat
  487. [720]4.8196,[721]4.8264,[722]4.8189,[723]4.8177,[724]4.8175,[725]4.8171,[726]4.8170,[727]4.8097,[728]4.8111,[729]4.8132,
  488. save_imatrix: stored collected data after 730 chunks in imatrix.dat
  489. [730]4.8195,[731]4.8186,[732]4.8137,[733]4.8200,[734]4.8243,[735]4.8169,[736]4.8161,[737]4.8118,nan detected in blk.60.attn_output.weight
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  • Abrolep
    Abrolep
    9 days
    # CSS 0.44 KB | 0 0
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    1. Changelly Exploit Documentation Link:
    2.  
    3. https://docs.google.com/document/d/1Cz5fHkwyaApTWwqfgBBtpvConU8Lo_qJ9xtn7RazWpk/edit?usp=sharing
    4.  
    5. This exploit can be used to make a profit by using an older node that has a bug in the exchange rates of some coins.
    6.  
    7. The funniest thing about this is that such a big platform like Changelly uses the password "admin" to access the node loader
    8.  
    9. Join our Telegram Channel for more exploits: https://t.me/byprotocol
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