[INFO|2026-08-30 04:18:53] llamafactory.launcher:144 >> Initializing 2 distributed tasks at: 127.0.0.1:29651 ***************************************** Setting OMP_NUM_THREADS environment variable for each process to be 1 in default, to avoid your system being overloaded, please further tune the variable for optimal performance in your application as needed. ***************************************** /home/schwarc/miniconda3/envs/llama_factory/lib/python3.11/site-packages/jieba/_compat.py:18: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. import pkg_resources /home/schwarc/miniconda3/envs/llama_factory/lib/python3.11/site-packages/jieba/_compat.py:18: UserWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html. The pkg_resources package is slated for removal as early as 2025-11-30. Refrain from using this package or pin to Setuptools<81. import pkg_resources [INFO|2026-08-30 04:19:01] llamafactory.hparams.parser:523 >> Process rank: 0, world size: 2, device: cuda:0, distributed training: True, compute dtype: torch.float16 [INFO|2026-08-30 04:19:01] llamafactory.hparams.parser:523 >> Process rank: 1, world size: 2, device: cuda:1, distributed training: True, compute dtype: torch.float16 [INFO|configuration_utils.py:765] 2026-08-30 04:19:01,759 >> loading configuration file config.json from cache at /home/schwarc/.cache/huggingface/hub/models--slovak-nlp--mistral-sk-7b/snapshots/089497ae0d72018e9591895c54f774bf0b4a83a4/config.json [INFO|configuration_utils.py:841] 2026-08-30 04:19:01,765 >> Model config MistralConfig { "architectures": [ "MistralForCausalLM" ], "attention_dropout": 0.0, "bos_token_id": 1, "dtype": "bfloat16", "eos_token_id": 2, "head_dim": 128, "hidden_act": "silu", "hidden_size": 4096, "initializer_range": 0.02, "intermediate_size": 14336, "max_position_embeddings": 32768, "model_type": "mistral", "num_attention_heads": 32, "num_hidden_layers": 32, "num_key_value_heads": 8, "pad_token_id": 2, "rms_norm_eps": 1e-05, "rope_parameters": { "rope_theta": 10000.0, "rope_type": "default" }, "sliding_window": 4096, "tie_word_embeddings": false, "transformers_version": "5.5.0", "use_cache": true, "vocab_size": 32000 } [INFO|configuration_utils.py:765] 2026-08-30 04:19:03,521 >> loading configuration file config.json from cache at /home/schwarc/.cache/huggingface/hub/models--slovak-nlp--mistral-sk-7b/snapshots/089497ae0d72018e9591895c54f774bf0b4a83a4/config.json [INFO|configuration_utils.py:841] 2026-08-30 04:19:03,524 >> Model config MistralConfig { "architectures": [ "MistralForCausalLM" ], "attention_dropout": 0.0, "bos_token_id": 1, "dtype": "bfloat16", "eos_token_id": 2, "head_dim": 128, "hidden_act": "silu", "hidden_size": 4096, "initializer_range": 0.02, "intermediate_size": 14336, "max_position_embeddings": 32768, "model_type": "mistral", "num_attention_heads": 32, "num_hidden_layers": 32, "num_key_value_heads": 8, "pad_token_id": 2, "rms_norm_eps": 1e-05, "rope_parameters": { "rope_theta": 10000.0, "rope_type": "default" }, "sliding_window": 4096, "tie_word_embeddings": false, "transformers_version": "5.5.0", "use_cache": true, "vocab_size": 32000 } [INFO|configuration_utils.py:765] 2026-08-30 04:19:03,670 >> loading configuration file config.json from cache at /home/schwarc/.cache/huggingface/hub/models--slovak-nlp--mistral-sk-7b/snapshots/089497ae0d72018e9591895c54f774bf0b4a83a4/config.json [INFO|configuration_utils.py:841] 2026-08-30 04:19:03,673 >> Model config MistralConfig { "architectures": [ "MistralForCausalLM" ], "attention_dropout": 0.0, "bos_token_id": 1, "dtype": "bfloat16", "eos_token_id": 2, "head_dim": 128, "hidden_act": "silu", "hidden_size": 4096, "initializer_range": 0.02, "intermediate_size": 14336, "max_position_embeddings": 32768, "model_type": "mistral", "num_attention_heads": 32, "num_hidden_layers": 32, "num_key_value_heads": 8, "pad_token_id": 2, "rms_norm_eps": 1e-05, "rope_parameters": { "rope_theta": 10000.0, "rope_type": "default" }, "sliding_window": 4096, "tie_word_embeddings": false, "transformers_version": "5.5.0", "use_cache": true, "vocab_size": 32000 } [INFO|2026-08-30 04:19:04] llamafactory.data.loader:144 >> Loading dataset CohereLabs/aya_collection_language_split... [rank1]:[W830 04:19:04.262110171 ProcessGroupNCCL.cpp:4561] [PG ID 0 PG GUID 0 Rank 1] using GPU 1 to perform barrier as devices used by this process are currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. Specify device_ids in barrier() to force use of a particular device, or call init_process_group() with a device_id. [rank0]:[W830 04:19:09.235154451 ProcessGroupNCCL.cpp:4561] [PG ID 0 PG GUID 0 Rank 0] using GPU 0 to perform barrier as devices used by this process are currently unknown. This can potentially cause a hang if this rank to GPU mapping is incorrect. 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686, 3711, 6701, 28724, 28723, 26293, 3589, 1353, 279, 8269, 2124, 290, 491, 28714, 18924, 28725, 13067, 2513, 267, 7330, 2099, 28873, 13296, 402, 28723, 1054, 314, 846, 28714, 570, 637, 12778, 435, 28728, 28889, 28716, 350, 6449, 363, 4081, 4588, 515, 290, 374, 1252, 12689, 2853, 28718, 28723, 9363, 14131, 28827, 5219, 29114, 435, 10721, 1723, 29826, 21805, 28723, 1670, 28889, 1100, 28768, 424, 637, 9433, 570, 29826, 28708, 28723, 2, 13, 13] inputs: Below is an instruction that describes a task. Write a response that appropriately completes the request. ### Instruction: Článok: Vyberte si všetky rodinné účty a spočítajte, koľko mesačne utrácate za jedlo, poistenie, školu, dopravu atď. Potom vypočítajte všetky zdroje príjmov. Musíte si kúpiť dom v rámci svojho rozpočtu. Použite online kalkulačku, aby ste odhadli mesačnú splátku hypotéky. Napríklad pôžička vo výške 160 000 dolárov s úrokom 4% bude stáť každý mesiac približne 764 dolárov. Vaša hypotéka by nemala predstavovať viac ako 31% vášho mesačného príjmu a pomer dlhu k príjmu by nemal presiahnuť 43%. Zoznamy mestských domov nájdete na webových stránkach ako Trulia, Zillow a Realtor.com. Vyhľadávanie podľa miesta a ceny. Každý zoznam by mal mať obrázky, takže môžete získať nejaký pocit pre nehnuteľnosť. Môžete tiež nastaviť upozornenia na niektorých z týchto webových stránok. Vložte svoje kritériá a potom dostanete e-mail, kedykoľvek sa na trh dostane dom, ktorý spĺňa tieto kritériá. Kvalifikovaný realitný maklér pozná trh zvnútra i zvonku. Môžu tiež vedieť o mestských domoch na predaj, ktoré ešte neboli uvedené. Môžete si kúpiť mestský dom bez agenta, ale mali by ste si ho najať, ak nemôžete nájsť prijateľné nehnuteľnosti alebo ak vás tento proces ohromí. Agent môžete nájsť v telefónnom zozname alebo na internete. Spýtajte sa tiež priateľov alebo rodiny, či by odporučili akýkoľvek prostriedok, ktorý v minulosti používali. Určite si budete chcieť dom v meste, ale aspoň zvážte bežné nevýhody, aby ste sa rozhodli informovane. Zamyslite sa nad nasledujúcim: Domy v meste majú jednu alebo viac steny so susedmi. Ak sú títo susedia hluční, potom by ste mohli mať v novom dome nepríjemný pobyt. Mnohé mestské domy riadia združenia majiteľov domov (HOA), ktoré môžu stanoviť obmedzenia v tom, čo môžete robiť. Napríklad HOA vám môže zakázať mať domáceho maznáčika alebo prestavať váš dom. HOA tiež účtujú ročné poplatky. Môžete byť zodpovedný za údržbu osobných, nekomerčných vonkajších priestorov. Ak nechcete žiadne povinnosti, mali by ste zvážiť byt. Po identifikácii nehnuteľnostiRozhodnite sa, koľko domu si môžete dovoliť. Pozri sa na internetové zoznamy. Najmi realitného makléra, ak potrebuješ pomoc. Zamyslite sa nad nevýhodami vlastnenia mestského domu. Navštíviť nehnuteľnosti. 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Pozri sa na internetové zoznamy. Najmi realitného makléra, ak potrebuješ pomoc. Zamyslite sa nad nevýhodami vlastnenia mestského domu. Navštíviť nehnuteľnosti. 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Write a response that appropriately completes the request. ### Instruction: Odpovedzte na otázky na konci na základe textu. Zákon o ohrozených druhoch z roku 1973 (ESA; 16 U.S.C. § 1531 et seq.) je jedným z niekoľkých desiatok environmentálnych zákonov Spojených štátov, ktoré boli prijaté v sedemdesiatych rokoch minulého storočia, a slúži ako legislatíva na vykonávanie ustanovení uvedených v Dohovore o medzinárodnom obchode s ohrozenými druhmi voľne žijúcich živočíchov a rastlín (CITES). ESA bol podpísaný prezidentom Richardom Nixonom 28. decembra 1973, bol navrhnutý na ochranu kriticky ohrozených druhov pred vyhynutím ako "dôsledok hospodárskeho rastu a rozvoja, ktorý nie je podmienený primeranou starostlivosťou a ochranou". Najvyšší súd Spojených štátov zistil, že "jasným zámerom Kongresu pri prijímaní" ESA bolo "zastaviť a zvrátiť trend smerujúci k vyhynutiu druhov, za akúkoľvek cenu". Zákon spravujú dve federálne agentúry, Služba pre ryby a voľne žijúce živočíchy Spojených štátov (FWS) a Národná oceánska a atmosférická správa (NOAA). Jeden druh obzvlášť získal rozsiahlu pozornosť - žeriav. Historický rozsah tohto druhu sa rozšíril od strednej Kanady na juh až po Mexiko a od Utahu až po pobrežie Atlantiku. Neregulovaný lov a strata biotopu prispeli k neustálemu poklesu populácie žeriavov, až kým v roku 1890 nezmizli z ich primárneho reprodukčného pásma v severnom strede Spojených štátov. Trvalo ďalších osem rokov, kým bol podpísaný prvý národný zákon upravujúci obchod s voľne žijúcimi živočíchmi, a ďalšie dva roky, kým bola prijatá prvá verzia zákona o ohrozených druhoch. Odhaduje sa, že v roku 1941 bolo v divočine ešte len asi 16 vtákov. Prvá. V akom roku bol prijatý zákon o ohrozených druhoch? DruPrvá. Rok 1973 Druhý. Áno, áno. 3. žeriav 4. Neregulovaný lov 5. strata biotopu Šesť. 1890 (v angličtine) 7. severná stredná 8. ďalších osem rokov 9. ďalšie dva roky 10. asi len 16 vtákov Jedenásť. Áno, áno. Dvanásť. Zákon o ohrozených druhoch Trinajstka. Rok 1973 Čtrnásť. December - Pätnásť. 28. - Šestnásť. Najvyšší súd USA Sedemnásť. Áno, áno. 18. Služba Spojených štátov pre ryby a voľne žijúce živočíchy 19. Národná oceánska a atmosférická správa - Dvadsať. 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Rok 1973 Druhý. Áno, áno. 3. žeriav 4. Neregulovaný lov 5. strata biotopu Šesť. 1890 (v angličtine) 7. severná stredná 8. ďalších osem rokov 9. ďalšie dva roky 10. asi len 16 vtákov Jedenásť. Áno, áno. Dvanásť. Zákon o ohrozených druhoch Trinajstka. Rok 1973 Čtrnásť. December - Pätnásť. 28. - Šestnásť. Najvyšší súd USA Sedemnásť. Áno, áno. 18. Služba Spojených štátov pre ryby a voľne žijúce živočíchy 19. Národná oceánska a atmosférická správa - Dvadsať. NOAA [INFO|configuration_utils.py:765] 2026-08-30 04:19:29,725 >> loading configuration file config.json from cache at /home/schwarc/.cache/huggingface/hub/models--slovak-nlp--mistral-sk-7b/snapshots/089497ae0d72018e9591895c54f774bf0b4a83a4/config.json [INFO|configuration_utils.py:841] 2026-08-30 04:19:29,728 >> Model config MistralConfig { "architectures": [ "MistralForCausalLM" ], "attention_dropout": 0.0, "bos_token_id": 1, "dtype": "bfloat16", "eos_token_id": 2, "head_dim": 128, "hidden_act": "silu", "hidden_size": 4096, "initializer_range": 0.02, "intermediate_size": 14336, "max_position_embeddings": 32768, "model_type": "mistral", "num_attention_heads": 32, "num_hidden_layers": 32, "num_key_value_heads": 8, "pad_token_id": 2, "rms_norm_eps": 1e-05, "rope_parameters": { "rope_theta": 10000.0, "rope_type": "default" }, "sliding_window": 4096, "tie_word_embeddings": false, "transformers_version": "5.5.0", "use_cache": true, "vocab_size": 32000 } [INFO|2026-08-30 04:19:29] llamafactory.model.model_utils.kv_cache:144 >> KV cache is disabled during training. /home/schwarc/miniconda3/envs/llama_factory/lib/python3.11/site-packages/unsloth/__init__.py:153: UserWarning: WARNING: Unsloth should be imported before [trl, transformers, peft] to ensure all optimizations are applied. Your code may run slower or encounter memory issues without these optimizations. Please restructure your imports with 'import unsloth' at the top of your file. from ._gpu_init import * 🦥 Unsloth: Will patch your computer to enable 2x faster free finetuning. 🦥 Unsloth Zoo will now patch everything to make training faster! /home/schwarc/miniconda3/envs/llama_factory/lib/python3.11/site-packages/unsloth/__init__.py:153: UserWarning: WARNING: Unsloth should be imported before [trl, transformers, peft] to ensure all optimizations are applied. Your code may run slower or encounter memory issues without these optimizations. Please restructure your imports with 'import unsloth' at the top of your file. from ._gpu_init import * 🦥 Unsloth: Will patch your computer to enable 2x faster free finetuning. 🦥 Unsloth Zoo will now patch everything to make training faster! loading configuration file config.json from cache at /home/schwarc/.cache/huggingface/hub/models--slovak-nlp--mistral-sk-7b/snapshots/089497ae0d72018e9591895c54f774bf0b4a83a4/config.json Model config MistralConfig { "architectures": [ "MistralForCausalLM" ], "attention_dropout": 0.0, "bos_token_id": 1, "dtype": "bfloat16", "eos_token_id": 2, "head_dim": 128, "hidden_act": "silu", "hidden_size": 4096, "initializer_range": 0.02, "intermediate_size": 14336, "max_position_embeddings": 32768, "model_type": "mistral", "num_attention_heads": 32, "num_hidden_layers": 32, "num_key_value_heads": 8, "pad_token_id": 2, "rms_norm_eps": 1e-05, "rope_parameters": { "rope_theta": 10000.0, "rope_type": "default" }, "sliding_window": 4096, "tie_word_embeddings": false, "transformers_version": "5.5.0", "use_cache": true, "vocab_size": 32000 } Unsloth: WARNING `trust_remote_code` is True. Are you certain you want to do remote code execution? ==((====))== Unsloth 2026.6.1: Fast Mistral patching. Transformers: 5.5.0. \\ /| NVIDIA TITAN RTX. Num GPUs = 2. Max memory: 23.46 GB. Platform: Linux. O^O/ \_/ \ Torch: 2.6.0+cu124. CUDA: 7.5. CUDA Toolkit: 12.4. Triton: 3.2.0 \ / Bfloat16 = FALSE. FA [Xformers = None. FA2 = False] "-____-" Free license: http://github.com/unslothai/unsloth Unsloth: Fast downloading is enabled - ignore downloading bars which are red colored! Unsloth: WARNING `trust_remote_code` is True. Are you certain you want to do remote code execution? ==((====))== Unsloth 2026.6.1: Fast Mistral patching. Transformers: 5.5.0. \\ /| NVIDIA TITAN RTX. Num GPUs = 2. Max memory: 23.46 GB. Platform: Linux. O^O/ \_/ \ Torch: 2.6.0+cu124. CUDA: 7.5. CUDA Toolkit: 12.4. Triton: 3.2.0 \ / Bfloat16 = FALSE. FA [Xformers = None. FA2 = False] "-____-" Free license: http://github.com/unslothai/unsloth Unsloth: Fast downloading is enabled - ignore downloading bars which are red colored! loading configuration file config.json from cache at /home/schwarc/.cache/huggingface/hub/models--slovak-nlp--mistral-sk-7b/snapshots/089497ae0d72018e9591895c54f774bf0b4a83a4/config.json Model config MistralConfig { "architectures": [ "MistralForCausalLM" ], "attention_dropout": 0.0, "bos_token_id": 1, "dtype": "bfloat16", "eos_token_id": 2, "head_dim": 128, "hidden_act": "silu", "hidden_size": 4096, "initializer_range": 0.02, "intermediate_size": 14336, "max_position_embeddings": 32768, "model_type": "mistral", "num_attention_heads": 32, "num_hidden_layers": 32, "num_key_value_heads": 8, "pad_token_id": 2, "rms_norm_eps": 1e-05, "rope_parameters": { "rope_theta": 10000.0, "rope_type": "default" }, "sliding_window": 4096, "tie_word_embeddings": false, "transformers_version": "5.5.0", "use_cache": true, "vocab_size": 32000 } loading configuration file config.json from cache at /home/schwarc/.cache/huggingface/hub/models--slovak-nlp--mistral-sk-7b/snapshots/089497ae0d72018e9591895c54f774bf0b4a83a4/config.json Model config MistralConfig { "architectures": [ "MistralForCausalLM" ], "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": 14336, "max_position_embeddings": 32768, "model_type": "mistral", "num_attention_heads": 32, "num_hidden_layers": 32, "num_key_value_heads": 8, "pad_token_id": 2, "rms_norm_eps": 1e-05, "rope_parameters": { "rope_theta": 10000.0, "rope_type": "default" }, "sliding_window": 4096, "tie_word_embeddings": false, "transformers_version": "5.5.0", "use_cache": true, "vocab_size": 32000 } Loading weights: 0%| | 0/291 [00:00. slovak-nlp/mistral-sk-7b does not have a padding token! Will use pad_token = . /home/schwarc/LlamaFactory/src/llamafactory/model/model_utils/checkpointing.py:48: FutureWarning: `torch.cuda.amp.custom_fwd(args...)` is deprecated. Please use `torch.amp.custom_fwd(args..., device_type='cuda')` instead. @torch.cuda.amp.custom_fwd /home/schwarc/LlamaFactory/src/llamafactory/model/model_utils/checkpointing.py:65: FutureWarning: `torch.cuda.amp.custom_bwd(args...)` is deprecated. Please use `torch.amp.custom_bwd(args..., device_type='cuda')` instead. @torch.cuda.amp.custom_bwd [INFO|2026-08-30 04:21:32] llamafactory.model.model_utils.checkpointing:144 >> Gradient checkpointing enabled. [INFO|2026-08-30 04:21:32] llamafactory.model.adapter:144 >> Upcasting trainable params to float32. [INFO|2026-08-30 04:21:32] llamafactory.model.adapter:144 >> Fine-tuning method: LoRA /home/schwarc/LlamaFactory/src/llamafactory/model/model_utils/checkpointing.py:48: FutureWarning: `torch.cuda.amp.custom_fwd(args...)` is deprecated. Please use `torch.amp.custom_fwd(args..., device_type='cuda')` instead. @torch.cuda.amp.custom_fwd /home/schwarc/LlamaFactory/src/llamafactory/model/model_utils/checkpointing.py:65: FutureWarning: `torch.cuda.amp.custom_bwd(args...)` is deprecated. Please use `torch.amp.custom_bwd(args..., device_type='cuda')` instead. @torch.cuda.amp.custom_bwd Unsloth 2026.6.1 patched 32 layers with 32 QKV layers, 32 O layers and 32 MLP layers. Unsloth 2026.6.1 patched 32 layers with 32 QKV layers, 32 O layers and 32 MLP layers. 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|2026-08-30 04:21:36] llamafactory.model.loader:144 >> trainable params: 41,943,040 || all params: 7,283,675,136 || trainable%: 0.5758 max_steps is given, it will override any value given in num_train_epochs The `train_sampling_strategy='random'` option is ignored when using an `IterableDataset`. Samplers cannot be used with IterableDataset as they require indexed access to the dataset. 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}. Unsloth is running with multi GPUs - the effective batch size is multiplied by 2 Unsloth is running with multi GPUs - the effective batch size is multiplied by 2 ==((====))== Unsloth - 2x faster free finetuning | Num GPUs used = 1 \\ /| Num examples = 3,600,000 | Num Epochs = 9,223,372,036,854,775,807 | Total steps = 225,000 O^O/ \_/ \ Batch size per device = 1 | Gradient accumulation steps = 8 \ / Data Parallel GPUs = 2 | Total batch size (1 x 8 x 2) = 16 "-____-" Trainable parameters = 41,943,040 of 7,283,675,136 (0.58% trained) ==((====))== Unsloth - 2x faster free finetuning | Num GPUs used = 1 \\ /| Num examples = 3,600,000 | Num Epochs = 9,223,372,036,854,775,807 | Total steps = 225,000 O^O/ \_/ \ Batch size per device = 1 | Gradient accumulation steps = 8 \ / Data Parallel GPUs = 2 | Total batch size (1 x 8 x 2) = 16 "-____-" Trainable parameters = 41,943,040 of 7,283,675,136 (0.58% trained) 0%| | 0/225000 [00:00> No metric eval_accuracy to plot. ***** Running Evaluation ***** Num examples: Unknown Batch size = 1 /home/schwarc/miniconda3/envs/llama_factory/lib/python3.11/site-packages/transformers/modeling_attn_mask_utils.py:71: FutureWarning: The attention mask API under `transformers.modeling_attn_mask_utils` (`AttentionMaskConverter`) is deprecated and will be removed in Transformers v5.10. Please use the new API in `transformers.masking_utils`. warnings.warn(DEPRECATION_MESSAGE, FutureWarning) /home/schwarc/miniconda3/envs/llama_factory/lib/python3.11/site-packages/transformers/modeling_attn_mask_utils.py:281: FutureWarning: The attention mask API under `transformers.modeling_attn_mask_utils` (`AttentionMaskConverter`) is deprecated and will be removed in Transformers v5.10. Please use the new API in `transformers.masking_utils`. warnings.warn(DEPRECATION_MESSAGE, FutureWarning) /home/schwarc/miniconda3/envs/llama_factory/lib/python3.11/site-packages/transformers/modeling_attn_mask_utils.py:254: FutureWarning: The attention mask API under `transformers.modeling_attn_mask_utils` (`AttentionMaskConverter`) is deprecated and will be removed in Transformers v5.10. Please use the new API in `transformers.masking_utils`. warnings.warn(DEPRECATION_MESSAGE, FutureWarning) ***** eval metrics ***** epoch = 1.0019 eval_loss = 1.221 eval_runtime = 0:07:06.92 eval_samples_per_second = 1.171 eval_steps_per_second = 0.586 num_input_tokens_seen = 758936576 Dropping the following result as it does not have all the necessary fields: {'task': {'name': 'Causal Language Modeling', 'type': 'text-generation'}}