Jakubrd4 commited on
Commit
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1 Parent(s): de020da

Upload variant-e quantization logs

Browse files
variant-e/logs/eval_5shot_gen.log ADDED
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+ /usr/local/lib/python3.12/dist-packages/torch/cuda/__init__.py:61: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you.
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+ import pynvml # type: ignore[import]
variant-e/logs/eval_5shot_mc.log ADDED
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+ /usr/local/lib/python3.12/dist-packages/torch/cuda/__init__.py:61: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you.
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+ import pynvml # type: ignore[import]
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+ 2026-02-22:23:14:37,022 INFO [__main__.py:279] Verbosity set to INFO
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+ 2026-02-22:23:14:37,022 INFO [__main__.py:303] Including path: /workspace/repos/speakleash-tasks/lm_eval/tasks
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+ 2026-02-22:23:14:37,052 INFO [__init__.py:491] `group` and `group_alias` keys in TaskConfigs are deprecated and will be removed in v0.4.5 of lm_eval. The new `tag` field will be used to allow for a shortcut to a group of tasks one does not wish to aggregate metrics across. `group`s which aggregate across subtasks must be only defined in a separate group config file, which will be the official way to create groups that support cross-task aggregation as in `mmlu`. Please see the v0.4.4 patch notes and our documentation: https://github.com/EleutherAI/lm-evaluation-harness/blob/main/docs/new_task_guide.md#advanced-group-configs for more information.
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+ 2026-02-22:23:14:40,740 INFO [__init__.py:491] `group` and `group_alias` keys in TaskConfigs are deprecated and will be removed in v0.4.5 of lm_eval. The new `tag` field will be used to allow for a shortcut to a group of tasks one does not wish to aggregate metrics across. `group`s which aggregate across subtasks must be only defined in a separate group config file, which will be the official way to create groups that support cross-task aggregation as in `mmlu`. Please see the v0.4.4 patch notes and our documentation: https://github.com/EleutherAI/lm-evaluation-harness/blob/main/docs/new_task_guide.md#advanced-group-configs for more information.
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+ 2026-02-22:23:14:42,539 ERROR [__main__.py:354] Tasks were not found: belebele_pol_Latn_multiple_choice, ppc_multiple_choice, psc_multiple_choice, cbd_multiple_choice, klej_ner_multiple_choice, polqa_reranking_multiple_choice, poquad_open_book_multiple_choice
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+ Try `lm-eval --tasks list` for list of available tasks
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+ Traceback (most recent call last):
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+ File "<frozen runpy>", line 198, in _run_module_as_main
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+ File "<frozen runpy>", line 88, in _run_code
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+ File "/usr/local/lib/python3.12/dist-packages/lm_eval/__main__.py", line 461, in <module>
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+ cli_evaluate()
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+ File "/usr/local/lib/python3.12/dist-packages/lm_eval/__main__.py", line 358, in cli_evaluate
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+ raise ValueError(
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+ ValueError: Tasks not found: belebele_pol_Latn_multiple_choice, ppc_multiple_choice, psc_multiple_choice, cbd_multiple_choice, klej_ner_multiple_choice, polqa_reranking_multiple_choice, poquad_open_book_multiple_choice. Try `lm-eval --tasks {list_groups,list_subtasks,list_tags,list}` to list out all available names for task groupings; only (sub)tasks; tags; or all of the above, or pass '--verbosity DEBUG' to troubleshoot task registration issues.
variant-e/logs/monitor.log CHANGED
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- [Sun Feb 22 23:14:23 UTC 2026] Monitor started. Waiting for quantization to finish...
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- [Sun Feb 22 23:14:23 UTC 2026] Quantization completion detected in log.
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- [Sun Feb 22 23:14:23 UTC 2026] Starting post-quantization automation...
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- [Sun Feb 22 23:14:23 UTC 2026] INFO: === POST-QUANTIZATION AUTOMATION STARTED ===
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- [Sun Feb 22 23:14:23 UTC 2026] INFO: STEP 1: Verifying quantized model output...
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- [Sun Feb 22 23:14:23 UTC 2026] INFO: STEP 1 DONE: Model saved to /workspace/model-vptq (3 files)
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- [Sun Feb 22 23:14:23 UTC 2026] INFO: Copied tokenizer.json from original model
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- [Sun Feb 22 23:14:23 UTC 2026] INFO: Copied tokenizer.model from original model
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- [Sun Feb 22 23:14:23 UTC 2026] INFO: Copied tokenizer_config.json from original model
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- [Sun Feb 22 23:14:23 UTC 2026] INFO: Copied special_tokens_map.json from original model
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- [Sun Feb 22 23:14:23 UTC 2026] INFO: STEP 2: Testing generation...
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- /usr/local/lib/python3.12/dist-packages/torch/cuda/__init__.py:61: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you.
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- import pynvml # type: ignore[import]
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- Generation test failed: Unrecognized model in /workspace/model-vptq. Should have a `model_type` key in its config.json, or contain one of the following strings in its name: albert, align, altclip, aria, aria_text, audio-spectrogram-transformer, autoformer, bamba, bark, bart, beit, bert, bert-generation, big_bird, bigbird_pegasus, biogpt, bit, blenderbot, blenderbot-small, blip, blip-2, bloom, bridgetower, bros, camembert, canine, chameleon, chinese_clip, chinese_clip_vision_model, clap, clip, clip_text_model, clip_vision_model, clipseg, clvp, code_llama, codegen, cohere, cohere2, colpali, conditional_detr, convbert, convnext, convnextv2, cpmant, ctrl, cvt, dac, data2vec-audio, data2vec-text, data2vec-vision, dbrx, deberta, deberta-v2, decision_transformer, deformable_detr, deit, depth_anything, deta, detr, diffllama, dinat, dinov2, dinov2_with_registers, distilbert, donut-swin, dpr, dpt, efficientformer, efficientnet, electra, emu3, encodec, encoder-decoder, ernie, ernie_m, esm, falcon, falcon_mamba, fastspeech2_conformer, flaubert, flava, fnet, focalnet, fsmt, funnel, fuyu, gemma, gemma2, git, glm, glpn, gpt-sw3, gpt2, gpt_bigcode, gpt_neo, gpt_neox, gpt_neox_japanese, gptj, gptsan-japanese, granite, granitemoe, graphormer, grounding-dino, groupvit, hiera, hubert, ibert, idefics, idefics2, idefics3, idefics3_vision, ijepa, imagegpt, informer, instructblip, instructblipvideo, jamba, jetmoe, jukebox, kosmos-2, layoutlm, layoutlmv2, layoutlmv3, led, levit, lilt, llama, llava, llava_next, llava_next_video, llava_onevision, longformer, longt5, luke, lxmert, m2m_100, mamba, mamba2, marian, markuplm, mask2former, maskformer, maskformer-swin, mbart, mctct, mega, megatron-bert, mgp-str, mimi, mistral, mixtral, mllama, mobilebert, mobilenet_v1, mobilenet_v2, mobilevit, mobilevitv2, modernbert, moonshine, moshi, mpnet, mpt, mra, mt5, musicgen, musicgen_melody, mvp, nat, nemotron, nezha, nllb-moe, nougat, nystromformer, olmo, olmo2, olmoe, omdet-turbo, oneformer, open-llama, openai-gpt, opt, owlv2, owlvit, paligemma, patchtsmixer, patchtst, pegasus, pegasus_x, perceiver, persimmon, phi, phi3, phimoe, pix2struct, pixtral, plbart, poolformer, pop2piano, prophetnet, pvt, pvt_v2, qdqbert, qwen2, qwen2_audio, qwen2_audio_encoder, qwen2_moe, qwen2_vl, rag, realm, recurrent_gemma, reformer, regnet, rembert, resnet, retribert, roberta, roberta-prelayernorm, roc_bert, roformer, rt_detr, rt_detr_resnet, rwkv, sam, seamless_m4t, seamless_m4t_v2, segformer, seggpt, sew, sew-d, siglip, siglip_vision_model, speech-encoder-decoder, speech_to_text, speech_to_text_2, speecht5, splinter, squeezebert, stablelm, starcoder2, superpoint, swiftformer, swin, swin2sr, swinv2, switch_transformers, t5, table-transformer, tapas, textnet, time_series_transformer, timesformer, timm_backbone, timm_wrapper, trajectory_transformer, transfo-xl, trocr, tvlt, tvp, udop, umt5, unispeech, unispeech-sat, univnet, upernet, van, video_llava, videomae, vilt, vipllava, vision-encoder-decoder, vision-text-dual-encoder, visual_bert, vit, vit_hybrid, vit_mae, vit_msn, vitdet, vitmatte, vitpose, vitpose_backbone, vits, vivit, wav2vec2, wav2vec2-bert, wav2vec2-conformer, wavlm, whisper, xclip, xglm, xlm, xlm-prophetnet, xlm-roberta, xlm-roberta-xl, xlnet, xmod, yolos, yoso, zamba, zoedepth
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- Traceback (most recent call last):
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- File "<stdin>", line 25, in <module>
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- File "/workspace/repos/vptq-algo/vptq/layers/model_base.py", line 117, in from_pretrained
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- auto_conf = transformers.AutoConfig.from_pretrained(pretrained_model_name_or_path, **kwargs)
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- ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
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- File "/usr/local/lib/python3.12/dist-packages/transformers/models/auto/configuration_auto.py", line 1091, in from_pretrained
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- raise ValueError(
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- ValueError: Unrecognized model in /workspace/model-vptq. Should have a `model_type` key in its config.json, or contain one of the following strings in its name: albert, align, altclip, aria, aria_text, audio-spectrogram-transformer, autoformer, bamba, bark, bart, beit, bert, bert-generation, big_bird, bigbird_pegasus, biogpt, bit, blenderbot, blenderbot-small, blip, blip-2, bloom, bridgetower, bros, camembert, canine, chameleon, chinese_clip, chinese_clip_vision_model, clap, clip, clip_text_model, clip_vision_model, clipseg, clvp, code_llama, codegen, cohere, cohere2, colpali, conditional_detr, convbert, convnext, convnextv2, cpmant, ctrl, cvt, dac, data2vec-audio, data2vec-text, data2vec-vision, dbrx, deberta, deberta-v2, decision_transformer, deformable_detr, deit, depth_anything, deta, detr, diffllama, dinat, dinov2, dinov2_with_registers, distilbert, donut-swin, dpr, dpt, efficientformer, efficientnet, electra, emu3, encodec, encoder-decoder, ernie, ernie_m, esm, falcon, falcon_mamba, fastspeech2_conformer, flaubert, flava, fnet, focalnet, fsmt, funnel, fuyu, gemma, gemma2, git, glm, glpn, gpt-sw3, gpt2, gpt_bigcode, gpt_neo, gpt_neox, gpt_neox_japanese, gptj, gptsan-japanese, granite, granitemoe, graphormer, grounding-dino, groupvit, hiera, hubert, ibert, idefics, idefics2, idefics3, idefics3_vision, ijepa, imagegpt, informer, instructblip, instructblipvideo, jamba, jetmoe, jukebox, kosmos-2, layoutlm, layoutlmv2, layoutlmv3, led, levit, lilt, llama, llava, llava_next, llava_next_video, llava_onevision, longformer, longt5, luke, lxmert, m2m_100, mamba, mamba2, marian, markuplm, mask2former, maskformer, maskformer-swin, mbart, mctct, mega, megatron-bert, mgp-str, mimi, mistral, mixtral, mllama, mobilebert, mobilenet_v1, mobilenet_v2, mobilevit, mobilevitv2, modernbert, moonshine, moshi, mpnet, mpt, mra, mt5, musicgen, musicgen_melody, mvp, nat, nemotron, nezha, nllb-moe, nougat, nystromformer, olmo, olmo2, olmoe, omdet-turbo, oneformer, open-llama, openai-gpt, opt, owlv2, owlvit, paligemma, patchtsmixer, patchtst, pegasus, pegasus_x, perceiver, persimmon, phi, phi3, phimoe, pix2struct, pixtral, plbart, poolformer, pop2piano, prophetnet, pvt, pvt_v2, qdqbert, qwen2, qwen2_audio, qwen2_audio_encoder, qwen2_moe, qwen2_vl, rag, realm, recurrent_gemma, reformer, regnet, rembert, resnet, retribert, roberta, roberta-prelayernorm, roc_bert, roformer, rt_detr, rt_detr_resnet, rwkv, sam, seamless_m4t, seamless_m4t_v2, segformer, seggpt, sew, sew-d, siglip, siglip_vision_model, speech-encoder-decoder, speech_to_text, speech_to_text_2, speecht5, splinter, squeezebert, stablelm, starcoder2, superpoint, swiftformer, swin, swin2sr, swinv2, switch_transformers, t5, table-transformer, tapas, textnet, time_series_transformer, timesformer, timm_backbone, timm_wrapper, trajectory_transformer, transfo-xl, trocr, tvlt, tvp, udop, umt5, unispeech, unispeech-sat, univnet, upernet, van, video_llava, videomae, vilt, vipllava, vision-encoder-decoder, vision-text-dual-encoder, visual_bert, vit, vit_hybrid, vit_mae, vit_msn, vitdet, vitmatte, vitpose, vitpose_backbone, vits, vivit, wav2vec2, wav2vec2-bert, wav2vec2-conformer, wavlm, whisper, xclip, xglm, xlm, xlm-prophetnet, xlm-roberta, xlm-roberta-xl, xlnet, xmod, yolos, yoso, zamba, zoedepth
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-
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- During handling of the above exception, another exception occurred:
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-
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- Traceback (most recent call last):
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- File "<stdin>", line 30, in <module>
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- File "/usr/local/lib/python3.12/dist-packages/transformers/models/auto/auto_factory.py", line 526, in from_pretrained
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- config, kwargs = AutoConfig.from_pretrained(
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- ^^^^^^^^^^^^^^^^^^^^^^^^^^^
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- File "/usr/local/lib/python3.12/dist-packages/transformers/models/auto/configuration_auto.py", line 1091, in from_pretrained
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- raise ValueError(
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- ValueError: Unrecognized model in /workspace/model-vptq. Should have a `model_type` key in its config.json, or contain one of the following strings in its name: albert, align, altclip, aria, aria_text, audio-spectrogram-transformer, autoformer, bamba, bark, bart, beit, bert, bert-generation, big_bird, bigbird_pegasus, biogpt, bit, blenderbot, blenderbot-small, blip, blip-2, bloom, bridgetower, bros, camembert, canine, chameleon, chinese_clip, chinese_clip_vision_model, clap, clip, clip_text_model, clip_vision_model, clipseg, clvp, code_llama, codegen, cohere, cohere2, colpali, conditional_detr, convbert, convnext, convnextv2, cpmant, ctrl, cvt, dac, data2vec-audio, data2vec-text, data2vec-vision, dbrx, deberta, deberta-v2, decision_transformer, deformable_detr, deit, depth_anything, deta, detr, diffllama, dinat, dinov2, dinov2_with_registers, distilbert, donut-swin, dpr, dpt, efficientformer, efficientnet, electra, emu3, encodec, encoder-decoder, ernie, ernie_m, esm, falcon, falcon_mamba, fastspeech2_conformer, flaubert, flava, fnet, focalnet, fsmt, funnel, fuyu, gemma, gemma2, git, glm, glpn, gpt-sw3, gpt2, gpt_bigcode, gpt_neo, gpt_neox, gpt_neox_japanese, gptj, gptsan-japanese, granite, granitemoe, graphormer, grounding-dino, groupvit, hiera, hubert, ibert, idefics, idefics2, idefics3, idefics3_vision, ijepa, imagegpt, informer, instructblip, instructblipvideo, jamba, jetmoe, jukebox, kosmos-2, layoutlm, layoutlmv2, layoutlmv3, led, levit, lilt, llama, llava, llava_next, llava_next_video, llava_onevision, longformer, longt5, luke, lxmert, m2m_100, mamba, mamba2, marian, markuplm, mask2former, maskformer, maskformer-swin, mbart, mctct, mega, megatron-bert, mgp-str, mimi, mistral, mixtral, mllama, mobilebert, mobilenet_v1, mobilenet_v2, mobilevit, mobilevitv2, modernbert, moonshine, moshi, mpnet, mpt, mra, mt5, musicgen, musicgen_melody, mvp, nat, nemotron, nezha, nllb-moe, nougat, nystromformer, olmo, olmo2, olmoe, omdet-turbo, oneformer, open-llama, openai-gpt, opt, owlv2, owlvit, paligemma, patchtsmixer, patchtst, pegasus, pegasus_x, perceiver, persimmon, phi, phi3, phimoe, pix2struct, pixtral, plbart, poolformer, pop2piano, prophetnet, pvt, pvt_v2, qdqbert, qwen2, qwen2_audio, qwen2_audio_encoder, qwen2_moe, qwen2_vl, rag, realm, recurrent_gemma, reformer, regnet, rembert, resnet, retribert, roberta, roberta-prelayernorm, roc_bert, roformer, rt_detr, rt_detr_resnet, rwkv, sam, seamless_m4t, seamless_m4t_v2, segformer, seggpt, sew, sew-d, siglip, siglip_vision_model, speech-encoder-decoder, speech_to_text, speech_to_text_2, speecht5, splinter, squeezebert, stablelm, starcoder2, superpoint, swiftformer, swin, swin2sr, swinv2, switch_transformers, t5, table-transformer, tapas, textnet, time_series_transformer, timesformer, timm_backbone, timm_wrapper, trajectory_transformer, transfo-xl, trocr, tvlt, tvp, udop, umt5, unispeech, unispeech-sat, univnet, upernet, van, video_llava, videomae, vilt, vipllava, vision-encoder-decoder, vision-text-dual-encoder, visual_bert, vit, vit_hybrid, vit_mae, vit_msn, vitdet, vitmatte, vitpose, vitpose_backbone, vits, vivit, wav2vec2, wav2vec2-bert, wav2vec2-conformer, wavlm, whisper, xclip, xglm, xlm, xlm-prophetnet, xlm-roberta, xlm-roberta-xl, xlnet, xmod, yolos, yoso, zamba, zoedepth
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-
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- [Sun Feb 22 23:14:27 UTC 2026] INFO: STEP 2 DONE: Generation test completed (see generation_test.log)
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- [Sun Feb 22 23:14:27 UTC 2026] INFO: STEP 3: Uploading model to HuggingFace...
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  ...odel-vptq/tokenizer.model: 100%|██████████| 493kB / 493kB 
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  ...odel-vptq/tokenizer.model: 100%|██████████| 493kB / 493kB 
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  ...odel-vptq/tokenizer.model: 100%|██████████| 493kB / 493kB 
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  ...odel-vptq/tokenizer.model: 100%|██████████| 493kB / 493kB 
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  ...odel-vptq/tokenizer.model: 100%|██████████| 493kB / 493kB 
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  ...odel-vptq/tokenizer.model: 100%|██████████| 493kB / 493kB
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- Model uploaded to Jakubrd4/Bielik-11B-v2.3-Instruct-VPTQ-2bit
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- [Sun Feb 22 23:14:30 UTC 2026] INFO: STEP 3 DONE
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- [Sun Feb 22 23:14:30 UTC 2026] INFO: STEP 4: Uploading logs to HuggingFace...
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ...odel-vptq/tokenizer.model: 100%|██████████| 493kB / 493kB 
 
 
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  ...odel-vptq/tokenizer.model: 100%|██████████| 493kB / 493kB 
 
 
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  ...odel-vptq/tokenizer.model: 100%|██████████| 493kB / 493kB 
 
 
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  ...odel-vptq/tokenizer.model: 100%|██████████| 493kB / 493kB 
 
 
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  ...odel-vptq/tokenizer.model: 100%|██████████| 493kB / 493kB 
 
 
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  ...odel-vptq/tokenizer.model: 100%|██████████| 493kB / 493kB
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+ [Mon Feb 23 08:07:04 UTC 2026] Monitor started. Waiting for tmux session 'vptq' to end...
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+ [Mon Feb 23 08:07:04 UTC 2026] Still running...
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+ [Mon Feb 23 08:09:04 UTC 2026] Still running... INFO - ----Quantizing llama ...---- 2026-02-23 08:08:42 0.mlp.gate_proj
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+ [Mon Feb 23 08:11:04 UTC 2026] Still running... INFO - ----Quantizing llama ...---- 2026-02-23 08:08:42 0.mlp.gate_proj
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+ [Mon Feb 23 08:13:04 UTC 2026] Still running... INFO - ----Quantizing llama ...---- 2026-02-23 08:11:08 0.mlp.up_proj
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+ [Mon Feb 23 08:15:04 UTC 2026] Still running... INFO - ----Quantizing llama ...---- 2026-02-23 08:13:36 0.mlp.down_proj
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+ [Mon Feb 23 08:17:04 UTC 2026] Still running... INFO - ----Quantizing llama ...---- 2026-02-23 08:17:00 1.self_attn.v_proj
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+ [Mon Feb 23 08:19:04 UTC 2026] Still running... INFO - ----Quantizing llama ...---- 2026-02-23 08:17:35 1.mlp.gate_proj
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+ [Mon Feb 23 08:21:04 UTC 2026] Still running... INFO - ----Quantizing llama ...---- 2026-02-23 08:20:01 1.mlp.up_proj
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+ [Mon Feb 23 08:23:04 UTC 2026] Still running... INFO - ----Quantizing llama ...---- 2026-02-23 08:22:29 1.mlp.down_proj
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+ [Mon Feb 23 08:25:04 UTC 2026] Still running... INFO - ----Quantizing llama ...---- 2026-02-23 08:22:29 1.mlp.down_proj
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+ [Mon Feb 23 08:27:04 UTC 2026] Still running... INFO - ----Quantizing llama ...---- 2026-02-23 08:26:18 2.mlp.gate_proj
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+ [Mon Feb 23 08:29:04 UTC 2026] Still running... INFO - ----Quantizing llama ...---- 2026-02-23 08:28:44 2.mlp.up_proj
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+ [Mon Feb 23 08:31:04 UTC 2026] Still running... INFO - ----Quantizing llama ...---- 2026-02-23 08:28:44 2.mlp.up_proj
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+ [Mon Feb 23 08:33:04 UTC 2026] Still running... INFO - ----Quantizing llama ...---- 2026-02-23 08:31:12 2.mlp.down_proj
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+ [Mon Feb 23 08:35:04 UTC 2026] Still running... INFO - ----Quantizing llama ...---- 2026-02-23 08:34:36 3.self_attn.o_proj
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+ [Mon Feb 23 08:37:04 UTC 2026] Still running... INFO - ----Quantizing llama ...---- 2026-02-23 08:35:07 3.mlp.gate_proj
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+ [Mon Feb 23 08:39:04 UTC 2026] Still running... INFO - ----Quantizing llama ...---- 2026-02-23 08:37:33 3.mlp.up_proj
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+ [Mon Feb 23 08:41:04 UTC 2026] Still running... INFO - ----Quantizing llama ...---- 2026-02-23 08:40:00 3.mlp.down_proj
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+ [Mon Feb 23 08:43:04 UTC 2026] Still running... INFO - ----Quantizing llama ...---- 2026-02-23 08:42:37 4.self_attn.q_proj
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+ [Mon Feb 23 08:45:04 UTC 2026] Still running... INFO - ----Quantizing llama ...---- 2026-02-23 08:43:57 4.mlp.gate_proj
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+ [Mon Feb 23 08:47:04 UTC 2026] Still running... INFO - ----Quantizing llama ...---- 2026-02-23 08:46:23 4.mlp.up_proj
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+ [Mon Feb 23 08:49:04 UTC 2026] Still running... INFO - ----Quantizing llama ...---- 2026-02-23 08:48:50 4.mlp.down_proj
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+ [Mon Feb 23 08:51:04 UTC 2026] Still running... INFO - ----Quantizing llama ...---- 2026-02-23 08:48:50 4.mlp.down_proj
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+ [Mon Feb 23 08:53:04 UTC 2026] Still running... INFO - ----Quantizing llama ...---- 2026-02-23 08:52:45 5.mlp.gate_proj
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+ [Mon Feb 23 14:19:07 UTC 2026] Still running... INFO - ----Quantizing llama ...---- 2026-02-23 14:19:02 41.mlp.down_proj
195
+ [Mon Feb 23 14:21:07 UTC 2026] Still running... INFO - ----Quantizing llama ...---- 2026-02-23 14:19:02 41.mlp.down_proj
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+ [Mon Feb 23 14:23:07 UTC 2026] Still running... INFO - ----Quantizing llama ...---- 2026-02-23 14:22:58 42.mlp.gate_proj
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+ [Mon Feb 23 14:27:07 UTC 2026] Still running... INFO - ----Quantizing llama ...---- 2026-02-23 14:25:24 42.mlp.up_proj
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+ [Mon Feb 23 14:29:07 UTC 2026] Still running... INFO - ----Quantizing llama ...---- 2026-02-23 14:27:51 42.mlp.down_proj
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+ [Mon Feb 23 14:31:07 UTC 2026] Still running... INFO - ----Quantizing llama ...---- 2026-02-23 14:31:05 43.self_attn.k_proj
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+ [Mon Feb 23 14:33:07 UTC 2026] Still running... INFO - ----Quantizing llama ...---- 2026-02-23 14:31:59 43.mlp.gate_proj
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+ [Mon Feb 23 14:35:07 UTC 2026] Still running... INFO - ----Quantizing llama ...---- 2026-02-23 14:34:25 43.mlp.up_proj
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+ [Mon Feb 23 14:39:08 UTC 2026] Still running... INFO - ----Quantizing llama ...---- 2026-02-23 14:36:52 43.mlp.down_proj
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+ [Mon Feb 23 14:41:08 UTC 2026] Still running... INFO - ----Quantizing llama ...---- 2026-02-23 14:40:54 44.mlp.gate_proj
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+ [Mon Feb 23 14:43:08 UTC 2026] Still running... INFO - ----Quantizing llama ...---- 2026-02-23 14:40:54 44.mlp.gate_proj
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+ [Mon Feb 23 14:45:08 UTC 2026] Still running... INFO - ----Quantizing llama ...---- 2026-02-23 14:43:20 44.mlp.up_proj
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+ [Mon Feb 23 14:47:08 UTC 2026] Still running... INFO - ----Quantizing llama ...---- 2026-02-23 14:45:47 44.mlp.down_proj
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+ [Mon Feb 23 15:05:08 UTC 2026] Still running... INFO - ----Quantizing llama ...---- 2026-02-23 15:03:38 46.mlp.down_proj
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+ [Mon Feb 23 15:07:08 UTC 2026] Still running... INFO - ----Quantizing llama ...---- 2026-02-23 15:07:05 47.self_attn.o_proj
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+ [Mon Feb 23 15:15:08 UTC 2026] Still running... INFO - ----Quantizing llama ...---- 2026-02-23 15:12:32 47.mlp.down_proj
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+ [Mon Feb 23 15:17:08 UTC 2026] Still running... INFO - ----Quantizing llama ...---- 2026-02-23 15:16:47 48.mlp.gate_proj
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+ [Mon Feb 23 15:19:08 UTC 2026] Still running... INFO - ----Quantizing llama ...---- 2026-02-23 15:16:47 48.mlp.gate_proj
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+ [Mon Feb 23 15:21:08 UTC 2026] Still running... INFO - ----Quantizing llama ...---- 2026-02-23 15:19:14 48.mlp.up_proj
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+ [Mon Feb 23 15:23:08 UTC 2026] Still running... INFO - ----Quantizing llama ...---- 2026-02-23 15:21:42 48.mlp.down_proj
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+ [Mon Feb 23 15:25:08 UTC 2026] Still running... INFO - ----Quantizing llama ...---- 2026-02-23 15:25:02 49.self_attn.v_proj
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+ [Mon Feb 23 15:27:08 UTC 2026] Still running... INFO - ----Quantizing llama ...---- 2026-02-23 15:25:49 49.mlp.gate_proj
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+ [Mon Feb 23 15:29:08 UTC 2026] Still running... INFO - ----Quantizing llama ...---- 2026-02-23 15:28:14 49.mlp.up_proj
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+ [Mon Feb 23 15:31:08 UTC 2026] Still running... INFO - ----Quantizing llama ...---- 2026-02-23 15:30:42 49.mlp.down_proj
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+ [Mon Feb 23 15:33:08 UTC 2026] Still running... INFO - ----Quantizing llama ...---- 2026-02-23 15:30:42 49.mlp.down_proj
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+ [Mon Feb 23 15:35:08 UTC 2026] Still running... INFO - ----Quantizing llama ...---- 2026-02-23 15:30:42 49.mlp.down_proj
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+ [Mon Feb 23 15:37:08 UTC 2026] Still running... INFO - ----Quantizing llama ...---- 2026-02-23 15:30:42 49.mlp.down_proj
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+ [Mon Feb 23 15:39:08 UTC 2026] Still running... INFO - ----Quantizing llama ...---- 2026-02-23 15:30:42 49.mlp.down_proj
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+ [Mon Feb 23 15:41:08 UTC 2026] Still running... INFO - ----Quantizing llama ...---- 2026-02-23 15:30:42 49.mlp.down_proj
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+ [Mon Feb 23 15:43:08 UTC 2026] Still running... INFO - ----Quantizing llama ...---- 2026-02-23 15:30:42 49.mlp.down_proj
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+ [Mon Feb 23 15:45:08 UTC 2026] tmux session 'vptq' has ended. Quantization finished!
238
+ [Mon Feb 23 15:45:18 UTC 2026] Starting post-quantization automation...
variant-e/logs/post_quant.log CHANGED
@@ -1,22 +1,55 @@
1
- [Sun Feb 22 23:14:23 UTC 2026] INFO: === POST-QUANTIZATION AUTOMATION STARTED ===
2
- [Sun Feb 22 23:14:23 UTC 2026] INFO: STEP 1: Verifying quantized model output...
3
- [Sun Feb 22 23:14:23 UTC 2026] INFO: STEP 1 DONE: Model saved to /workspace/model-vptq (3 files)
4
- [Sun Feb 22 23:14:23 UTC 2026] INFO: Copied tokenizer.json from original model
5
- [Sun Feb 22 23:14:23 UTC 2026] INFO: Copied tokenizer.model from original model
6
- [Sun Feb 22 23:14:23 UTC 2026] INFO: Copied tokenizer_config.json from original model
7
- [Sun Feb 22 23:14:23 UTC 2026] INFO: Copied special_tokens_map.json from original model
8
- total 2.3M
9
- drwxrwxr-x 5 root root 4.0K Feb 22 23:14 .
10
- drwxrwxr-x 11 root root 4.0K Feb 22 23:14 ..
11
- drwxrwxr-x 3 root root 26 Feb 22 23:14 2026-02-22-19-47-34
12
- drwxrwxr-x 3 root root 26 Feb 22 23:14 2026-02-22-19-50-43
13
- drwxrwxr-x 3 root root 26 Feb 22 23:14 2026-02-22-19-53-27
14
- -rw-rw-r-- 1 root root 3.4K Feb 22 23:14 special_tokens_map.json
15
- -rw-rw-r-- 1 root root 1.8M Feb 22 23:14 tokenizer.json
16
- -rw-rw-r-- 1 root root 482K Feb 22 23:14 tokenizer.model
17
- -rw-rw-r-- 1 root root 27K Feb 22 23:14 tokenizer_config.json
18
- [Sun Feb 22 23:14:23 UTC 2026] INFO: STEP 2: Testing generation...
19
- [Sun Feb 22 23:14:27 UTC 2026] INFO: STEP 2 DONE: Generation test completed (see generation_test.log)
20
- [Sun Feb 22 23:14:27 UTC 2026] INFO: STEP 3: Uploading model to HuggingFace...
21
- [Sun Feb 22 23:14:30 UTC 2026] INFO: STEP 3 DONE
22
- [Sun Feb 22 23:14:30 UTC 2026] INFO: STEP 4: Uploading logs to HuggingFace...
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ [Mon Feb 23 15:45:18 UTC 2026] INFO: === POST-QUANTIZATION AUTOMATION STARTED ===
2
+ [Mon Feb 23 15:45:18 UTC 2026] INFO: Output directory: /workspace/variant-e/output/2026-02-23-08-06-48/
3
+ [Mon Feb 23 15:45:18 UTC 2026] INFO: Packed model path: /workspace/variant-e/output/2026-02-23-08-06-48/packed_model
4
+ [Mon Feb 23 15:45:18 UTC 2026] INFO: Unpacked model path: /workspace/variant-e/output/2026-02-23-08-06-48/model
5
+ [Mon Feb 23 15:45:18 UTC 2026] INFO: STEP 1: Verifying quantized model output...
6
+ [Mon Feb 23 15:45:18 UTC 2026] INFO: Output dir contents:
7
+ -rw-rw-r-- 1 root root 611K Feb 23 15:38 /workspace/variant-e/output/2026-02-23-08-06-48/logs/0.log
8
+ -rw-rw-r-- 1 root root 1.9K Feb 23 15:35 /workspace/variant-e/output/2026-02-23-08-06-48/model/config.json
9
+ -rw-rw-r-- 1 root root 153 Feb 23 15:35 /workspace/variant-e/output/2026-02-23-08-06-48/model/generation_config.json
10
+ -rw-rw-r-- 1 root root 4.7G Feb 23 15:35 /workspace/variant-e/output/2026-02-23-08-06-48/model/model-00001-of-00002.safetensors
11
+ -rw-rw-r-- 1 root root 1.3G Feb 23 15:35 /workspace/variant-e/output/2026-02-23-08-06-48/model/model-00002-of-00002.safetensors
12
+ -rw-rw-r-- 1 root root 217K Feb 23 15:35 /workspace/variant-e/output/2026-02-23-08-06-48/model/model.safetensors.index.json
13
+ -rw-rw-r-- 1 root root 27K Feb 23 15:35 /workspace/variant-e/output/2026-02-23-08-06-48/model/tokenizer_config.json
14
+ -rw-rw-r-- 1 root root 3.4K Feb 23 15:35 /workspace/variant-e/output/2026-02-23-08-06-48/model/special_tokens_map.json
15
+ -rw-rw-r-- 1 root root 3.5K Feb 23 15:35 /workspace/variant-e/output/2026-02-23-08-06-48/model/added_tokens.json
16
+ -rw-rw-r-- 1 root root 482K Feb 23 15:35 /workspace/variant-e/output/2026-02-23-08-06-48/model/tokenizer.model
17
+ -rw-rw-r-- 1 root root 3.4M Feb 23 15:35 /workspace/variant-e/output/2026-02-23-08-06-48/model/tokenizer.json
18
+ -rw-rw-r-- 1 root root 206K Feb 23 15:35 /workspace/variant-e/output/2026-02-23-08-06-48/packed_model/config.json
19
+ -rw-rw-r-- 1 root root 153 Feb 23 15:35 /workspace/variant-e/output/2026-02-23-08-06-48/packed_model/generation_config.json
20
+ -rw-rw-r-- 1 root root 4.7G Feb 23 15:35 /workspace/variant-e/output/2026-02-23-08-06-48/packed_model/model.safetensors
21
+ -rw-rw-r-- 1 root root 27K Feb 23 15:35 /workspace/variant-e/output/2026-02-23-08-06-48/packed_model/tokenizer_config.json
22
+ -rw-rw-r-- 1 root root 3.4K Feb 23 15:35 /workspace/variant-e/output/2026-02-23-08-06-48/packed_model/special_tokens_map.json
23
+ -rw-rw-r-- 1 root root 3.5K Feb 23 15:35 /workspace/variant-e/output/2026-02-23-08-06-48/packed_model/added_tokens.json
24
+ -rw-rw-r-- 1 root root 482K Feb 23 15:35 /workspace/variant-e/output/2026-02-23-08-06-48/packed_model/tokenizer.model
25
+ -rw-rw-r-- 1 root root 3.4M Feb 23 15:35 /workspace/variant-e/output/2026-02-23-08-06-48/packed_model/tokenizer.json
26
+ -rw-rw-r-- 1 root root 91 Feb 23 15:43 /workspace/variant-e/output/2026-02-23-08-06-48/ppl_results.json
27
+ [Mon Feb 23 15:45:18 UTC 2026] INFO: Using PACKED model from: /workspace/variant-e/output/2026-02-23-08-06-48/packed_model
28
+ [Mon Feb 23 15:45:18 UTC 2026] INFO: Model files found:
29
+ total 4.7G
30
+ drwxrwxr-x 2 root root 4.0K Feb 23 15:35 .
31
+ drwxrwxr-x 5 root root 95 Feb 23 15:43 ..
32
+ -rw-rw-r-- 1 root root 3.5K Feb 23 15:35 added_tokens.json
33
+ -rw-rw-r-- 1 root root 206K Feb 23 15:35 config.json
34
+ -rw-rw-r-- 1 root root 153 Feb 23 15:35 generation_config.json
35
+ -rw-rw-r-- 1 root root 4.7G Feb 23 15:35 model.safetensors
36
+ -rw-rw-r-- 1 root root 3.4K Feb 23 15:35 special_tokens_map.json
37
+ -rw-rw-r-- 1 root root 3.4M Feb 23 15:35 tokenizer.json
38
+ -rw-rw-r-- 1 root root 482K Feb 23 15:35 tokenizer.model
39
+ -rw-rw-r-- 1 root root 27K Feb 23 15:35 tokenizer_config.json
40
+ [Mon Feb 23 15:45:18 UTC 2026] INFO: Model source size: 4.7G
41
+ [Mon Feb 23 15:45:18 UTC 2026] INFO: STEP 1 DONE: Model at /workspace/model-vptq — 8 files, 4.7G total, 1 safetensors
42
+ total 4.7G
43
+ drwxrwxr-x 2 root root 4.0K Feb 23 15:45 .
44
+ drwxrwxr-x 11 root root 4.0K Feb 23 15:45 ..
45
+ -rw-rw-r-- 1 root root 3.5K Feb 23 15:45 added_tokens.json
46
+ -rw-rw-r-- 1 root root 206K Feb 23 15:45 config.json
47
+ -rw-rw-r-- 1 root root 153 Feb 23 15:45 generation_config.json
48
+ -rw-rw-r-- 1 root root 4.7G Feb 23 15:45 model.safetensors
49
+ -rw-rw-r-- 1 root root 3.4K Feb 23 15:45 special_tokens_map.json
50
+ -rw-rw-r-- 1 root root 3.4M Feb 23 15:45 tokenizer.json
51
+ -rw-rw-r-- 1 root root 482K Feb 23 15:45 tokenizer.model
52
+ -rw-rw-r-- 1 root root 27K Feb 23 15:45 tokenizer_config.json
53
+ [Mon Feb 23 15:45:18 UTC 2026] INFO: STEP 2: Uploading model to HuggingFace (PRIORITY)...
54
+ [Mon Feb 23 15:46:01 UTC 2026] INFO: STEP 2 DONE: Model upload completed
55
+ [Mon Feb 23 15:46:01 UTC 2026] INFO: STEP 3: Uploading logs to HuggingFace...
variant-e/logs/post_quant_full.log CHANGED
@@ -1,50 +1,1085 @@
1
- [Sun Feb 22 23:14:23 UTC 2026] INFO: === POST-QUANTIZATION AUTOMATION STARTED ===
2
- [Sun Feb 22 23:14:23 UTC 2026] INFO: STEP 1: Verifying quantized model output...
3
- [Sun Feb 22 23:14:23 UTC 2026] INFO: STEP 1 DONE: Model saved to /workspace/model-vptq (3 files)
4
- [Sun Feb 22 23:14:23 UTC 2026] INFO: Copied tokenizer.json from original model
5
- [Sun Feb 22 23:14:23 UTC 2026] INFO: Copied tokenizer.model from original model
6
- [Sun Feb 22 23:14:23 UTC 2026] INFO: Copied tokenizer_config.json from original model
7
- [Sun Feb 22 23:14:23 UTC 2026] INFO: Copied special_tokens_map.json from original model
8
- [Sun Feb 22 23:14:23 UTC 2026] INFO: STEP 2: Testing generation...
9
- /usr/local/lib/python3.12/dist-packages/torch/cuda/__init__.py:61: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you.
10
- import pynvml # type: ignore[import]
11
- Generation test failed: Unrecognized model in /workspace/model-vptq. Should have a `model_type` key in its config.json, or contain one of the following strings in its name: albert, align, altclip, aria, aria_text, audio-spectrogram-transformer, autoformer, bamba, bark, bart, beit, bert, bert-generation, big_bird, bigbird_pegasus, biogpt, bit, blenderbot, blenderbot-small, blip, blip-2, bloom, bridgetower, bros, camembert, canine, chameleon, chinese_clip, chinese_clip_vision_model, clap, clip, clip_text_model, clip_vision_model, clipseg, clvp, code_llama, codegen, cohere, cohere2, colpali, conditional_detr, convbert, convnext, convnextv2, cpmant, ctrl, cvt, dac, data2vec-audio, data2vec-text, data2vec-vision, dbrx, deberta, deberta-v2, decision_transformer, deformable_detr, deit, depth_anything, deta, detr, diffllama, dinat, dinov2, dinov2_with_registers, distilbert, donut-swin, dpr, dpt, efficientformer, efficientnet, electra, emu3, encodec, encoder-decoder, ernie, ernie_m, esm, falcon, falcon_mamba, fastspeech2_conformer, flaubert, flava, fnet, focalnet, fsmt, funnel, fuyu, gemma, gemma2, git, glm, glpn, gpt-sw3, gpt2, gpt_bigcode, gpt_neo, gpt_neox, gpt_neox_japanese, gptj, gptsan-japanese, granite, granitemoe, graphormer, grounding-dino, groupvit, hiera, hubert, ibert, idefics, idefics2, idefics3, idefics3_vision, ijepa, imagegpt, informer, instructblip, instructblipvideo, jamba, jetmoe, jukebox, kosmos-2, layoutlm, layoutlmv2, layoutlmv3, led, levit, lilt, llama, llava, llava_next, llava_next_video, llava_onevision, longformer, longt5, luke, lxmert, m2m_100, mamba, mamba2, marian, markuplm, mask2former, maskformer, maskformer-swin, mbart, mctct, mega, megatron-bert, mgp-str, mimi, mistral, mixtral, mllama, mobilebert, mobilenet_v1, mobilenet_v2, mobilevit, mobilevitv2, modernbert, moonshine, moshi, mpnet, mpt, mra, mt5, musicgen, musicgen_melody, mvp, nat, nemotron, nezha, nllb-moe, nougat, nystromformer, olmo, olmo2, olmoe, omdet-turbo, oneformer, open-llama, openai-gpt, opt, owlv2, owlvit, paligemma, patchtsmixer, patchtst, pegasus, pegasus_x, perceiver, persimmon, phi, phi3, phimoe, pix2struct, pixtral, plbart, poolformer, pop2piano, prophetnet, pvt, pvt_v2, qdqbert, qwen2, qwen2_audio, qwen2_audio_encoder, qwen2_moe, qwen2_vl, rag, realm, recurrent_gemma, reformer, regnet, rembert, resnet, retribert, roberta, roberta-prelayernorm, roc_bert, roformer, rt_detr, rt_detr_resnet, rwkv, sam, seamless_m4t, seamless_m4t_v2, segformer, seggpt, sew, sew-d, siglip, siglip_vision_model, speech-encoder-decoder, speech_to_text, speech_to_text_2, speecht5, splinter, squeezebert, stablelm, starcoder2, superpoint, swiftformer, swin, swin2sr, swinv2, switch_transformers, t5, table-transformer, tapas, textnet, time_series_transformer, timesformer, timm_backbone, timm_wrapper, trajectory_transformer, transfo-xl, trocr, tvlt, tvp, udop, umt5, unispeech, unispeech-sat, univnet, upernet, van, video_llava, videomae, vilt, vipllava, vision-encoder-decoder, vision-text-dual-encoder, visual_bert, vit, vit_hybrid, vit_mae, vit_msn, vitdet, vitmatte, vitpose, vitpose_backbone, vits, vivit, wav2vec2, wav2vec2-bert, wav2vec2-conformer, wavlm, whisper, xclip, xglm, xlm, xlm-prophetnet, xlm-roberta, xlm-roberta-xl, xlnet, xmod, yolos, yoso, zamba, zoedepth
12
- Traceback (most recent call last):
13
- File "<stdin>", line 25, in <module>
14
- File "/workspace/repos/vptq-algo/vptq/layers/model_base.py", line 117, in from_pretrained
15
- auto_conf = transformers.AutoConfig.from_pretrained(pretrained_model_name_or_path, **kwargs)
16
- ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
17
- File "/usr/local/lib/python3.12/dist-packages/transformers/models/auto/configuration_auto.py", line 1091, in from_pretrained
18
- raise ValueError(
19
- ValueError: Unrecognized model in /workspace/model-vptq. Should have a `model_type` key in its config.json, or contain one of the following strings in its name: albert, align, altclip, aria, aria_text, audio-spectrogram-transformer, autoformer, bamba, bark, bart, beit, bert, bert-generation, big_bird, bigbird_pegasus, biogpt, bit, blenderbot, blenderbot-small, blip, blip-2, bloom, bridgetower, bros, camembert, canine, chameleon, chinese_clip, chinese_clip_vision_model, clap, clip, clip_text_model, clip_vision_model, clipseg, clvp, code_llama, codegen, cohere, cohere2, colpali, conditional_detr, convbert, convnext, convnextv2, cpmant, ctrl, cvt, dac, data2vec-audio, data2vec-text, data2vec-vision, dbrx, deberta, deberta-v2, decision_transformer, deformable_detr, deit, depth_anything, deta, detr, diffllama, dinat, dinov2, dinov2_with_registers, distilbert, donut-swin, dpr, dpt, efficientformer, efficientnet, electra, emu3, encodec, encoder-decoder, ernie, ernie_m, esm, falcon, falcon_mamba, fastspeech2_conformer, flaubert, flava, fnet, focalnet, fsmt, funnel, fuyu, gemma, gemma2, git, glm, glpn, gpt-sw3, gpt2, gpt_bigcode, gpt_neo, gpt_neox, gpt_neox_japanese, gptj, gptsan-japanese, granite, granitemoe, graphormer, grounding-dino, groupvit, hiera, hubert, ibert, idefics, idefics2, idefics3, idefics3_vision, ijepa, imagegpt, informer, instructblip, instructblipvideo, jamba, jetmoe, jukebox, kosmos-2, layoutlm, layoutlmv2, layoutlmv3, led, levit, lilt, llama, llava, llava_next, llava_next_video, llava_onevision, longformer, longt5, luke, lxmert, m2m_100, mamba, mamba2, marian, markuplm, mask2former, maskformer, maskformer-swin, mbart, mctct, mega, megatron-bert, mgp-str, mimi, mistral, mixtral, mllama, mobilebert, mobilenet_v1, mobilenet_v2, mobilevit, mobilevitv2, modernbert, moonshine, moshi, mpnet, mpt, mra, mt5, musicgen, musicgen_melody, mvp, nat, nemotron, nezha, nllb-moe, nougat, nystromformer, olmo, olmo2, olmoe, omdet-turbo, oneformer, open-llama, openai-gpt, opt, owlv2, owlvit, paligemma, patchtsmixer, patchtst, pegasus, pegasus_x, perceiver, persimmon, phi, phi3, phimoe, pix2struct, pixtral, plbart, poolformer, pop2piano, prophetnet, pvt, pvt_v2, qdqbert, qwen2, qwen2_audio, qwen2_audio_encoder, qwen2_moe, qwen2_vl, rag, realm, recurrent_gemma, reformer, regnet, rembert, resnet, retribert, roberta, roberta-prelayernorm, roc_bert, roformer, rt_detr, rt_detr_resnet, rwkv, sam, seamless_m4t, seamless_m4t_v2, segformer, seggpt, sew, sew-d, siglip, siglip_vision_model, speech-encoder-decoder, speech_to_text, speech_to_text_2, speecht5, splinter, squeezebert, stablelm, starcoder2, superpoint, swiftformer, swin, swin2sr, swinv2, switch_transformers, t5, table-transformer, tapas, textnet, time_series_transformer, timesformer, timm_backbone, timm_wrapper, trajectory_transformer, transfo-xl, trocr, tvlt, tvp, udop, umt5, unispeech, unispeech-sat, univnet, upernet, van, video_llava, videomae, vilt, vipllava, vision-encoder-decoder, vision-text-dual-encoder, visual_bert, vit, vit_hybrid, vit_mae, vit_msn, vitdet, vitmatte, vitpose, vitpose_backbone, vits, vivit, wav2vec2, wav2vec2-bert, wav2vec2-conformer, wavlm, whisper, xclip, xglm, xlm, xlm-prophetnet, xlm-roberta, xlm-roberta-xl, xlnet, xmod, yolos, yoso, zamba, zoedepth
20
-
21
- During handling of the above exception, another exception occurred:
22
-
23
- Traceback (most recent call last):
24
- File "<stdin>", line 30, in <module>
25
- File "/usr/local/lib/python3.12/dist-packages/transformers/models/auto/auto_factory.py", line 526, in from_pretrained
26
- config, kwargs = AutoConfig.from_pretrained(
27
- ^^^^^^^^^^^^^^^^^^^^^^^^^^^
28
- File "/usr/local/lib/python3.12/dist-packages/transformers/models/auto/configuration_auto.py", line 1091, in from_pretrained
29
- raise ValueError(
30
- ValueError: Unrecognized model in /workspace/model-vptq. Should have a `model_type` key in its config.json, or contain one of the following strings in its name: albert, align, altclip, aria, aria_text, audio-spectrogram-transformer, autoformer, bamba, bark, bart, beit, bert, bert-generation, big_bird, bigbird_pegasus, biogpt, bit, blenderbot, blenderbot-small, blip, blip-2, bloom, bridgetower, bros, camembert, canine, chameleon, chinese_clip, chinese_clip_vision_model, clap, clip, clip_text_model, clip_vision_model, clipseg, clvp, code_llama, codegen, cohere, cohere2, colpali, conditional_detr, convbert, convnext, convnextv2, cpmant, ctrl, cvt, dac, data2vec-audio, data2vec-text, data2vec-vision, dbrx, deberta, deberta-v2, decision_transformer, deformable_detr, deit, depth_anything, deta, detr, diffllama, dinat, dinov2, dinov2_with_registers, distilbert, donut-swin, dpr, dpt, efficientformer, efficientnet, electra, emu3, encodec, encoder-decoder, ernie, ernie_m, esm, falcon, falcon_mamba, fastspeech2_conformer, flaubert, flava, fnet, focalnet, fsmt, funnel, fuyu, gemma, gemma2, git, glm, glpn, gpt-sw3, gpt2, gpt_bigcode, gpt_neo, gpt_neox, gpt_neox_japanese, gptj, gptsan-japanese, granite, granitemoe, graphormer, grounding-dino, groupvit, hiera, hubert, ibert, idefics, idefics2, idefics3, idefics3_vision, ijepa, imagegpt, informer, instructblip, instructblipvideo, jamba, jetmoe, jukebox, kosmos-2, layoutlm, layoutlmv2, layoutlmv3, led, levit, lilt, llama, llava, llava_next, llava_next_video, llava_onevision, longformer, longt5, luke, lxmert, m2m_100, mamba, mamba2, marian, markuplm, mask2former, maskformer, maskformer-swin, mbart, mctct, mega, megatron-bert, mgp-str, mimi, mistral, mixtral, mllama, mobilebert, mobilenet_v1, mobilenet_v2, mobilevit, mobilevitv2, modernbert, moonshine, moshi, mpnet, mpt, mra, mt5, musicgen, musicgen_melody, mvp, nat, nemotron, nezha, nllb-moe, nougat, nystromformer, olmo, olmo2, olmoe, omdet-turbo, oneformer, open-llama, openai-gpt, opt, owlv2, owlvit, paligemma, patchtsmixer, patchtst, pegasus, pegasus_x, perceiver, persimmon, phi, phi3, phimoe, pix2struct, pixtral, plbart, poolformer, pop2piano, prophetnet, pvt, pvt_v2, qdqbert, qwen2, qwen2_audio, qwen2_audio_encoder, qwen2_moe, qwen2_vl, rag, realm, recurrent_gemma, reformer, regnet, rembert, resnet, retribert, roberta, roberta-prelayernorm, roc_bert, roformer, rt_detr, rt_detr_resnet, rwkv, sam, seamless_m4t, seamless_m4t_v2, segformer, seggpt, sew, sew-d, siglip, siglip_vision_model, speech-encoder-decoder, speech_to_text, speech_to_text_2, speecht5, splinter, squeezebert, stablelm, starcoder2, superpoint, swiftformer, swin, swin2sr, swinv2, switch_transformers, t5, table-transformer, tapas, textnet, time_series_transformer, timesformer, timm_backbone, timm_wrapper, trajectory_transformer, transfo-xl, trocr, tvlt, tvp, udop, umt5, unispeech, unispeech-sat, univnet, upernet, van, video_llava, videomae, vilt, vipllava, vision-encoder-decoder, vision-text-dual-encoder, visual_bert, vit, vit_hybrid, vit_mae, vit_msn, vitdet, vitmatte, vitpose, vitpose_backbone, vits, vivit, wav2vec2, wav2vec2-bert, wav2vec2-conformer, wavlm, whisper, xclip, xglm, xlm, xlm-prophetnet, xlm-roberta, xlm-roberta-xl, xlnet, xmod, yolos, yoso, zamba, zoedepth
31
-
32
- [Sun Feb 22 23:14:27 UTC 2026] INFO: STEP 2 DONE: Generation test completed (see generation_test.log)
33
- [Sun Feb 22 23:14:27 UTC 2026] INFO: STEP 3: Uploading model to HuggingFace...
34
 
35
 
36
 
37
 
38
  ...odel-vptq/tokenizer.model: 100%|██████████| 493kB / 493kB 
39
 
40
-
41
  ...odel-vptq/tokenizer.model: 100%|██████████| 493kB / 493kB 
 
42
  ...odel-vptq/tokenizer.model: 100%|██████████| 493kB / 493kB 
43
 
44
 
45
  ...odel-vptq/tokenizer.model: 100%|██████████| 493kB / 493kB 
46
 
47
 
48
  ...odel-vptq/tokenizer.model: 100%|██████████| 493kB / 493kB 
49
 
50
-
51
  ...odel-vptq/tokenizer.model: 100%|██████████| 493kB / 493kB 
52
-
53
  ...odel-vptq/tokenizer.model: 100%|██████████| 493kB / 493kB 
 
 
 
54
  ...el-vptq/model.safetensors: 0%| | 526kB / 5.00GB 
 
 
55
  ...odel-vptq/tokenizer.model: 100%|██████████| 493kB / 493kB 
 
 
 
56
  ...el-vptq/model.safetensors: 0%| | 526kB / 5.00GB 
 
 
 
57
  ...odel-vptq/tokenizer.model: 100%|██████████| 493kB / 493kB 
 
 
 
58
  ...el-vptq/model.safetensors: 0%| | 2.63MB / 5.00GB 
 
 
 
59
  ...odel-vptq/tokenizer.model: 100%|██████████| 493kB / 493kB 
 
 
 
60
  ...el-vptq/model.safetensors: 0%| | 7.36MB / 5.00GB 
 
 
 
61
  ...odel-vptq/tokenizer.model: 100%|██████████| 493kB / 493kB 
 
 
 
62
  ...el-vptq/model.safetensors: 0%| | 15.2MB / 5.00GB 
 
 
 
63
  ...odel-vptq/tokenizer.model: 100%|██████████| 493kB / 493kB 
 
 
 
64
  ...el-vptq/model.safetensors: 0%| | 24.2MB / 5.00GB 
 
 
 
65
  ...odel-vptq/tokenizer.model: 100%|██████████| 493kB / 493kB 
 
 
 
66
  ...el-vptq/model.safetensors: 1%| | 38.4MB / 5.00GB 
 
 
 
67
  ...odel-vptq/tokenizer.model: 100%|██████████| 493kB / 493kB 
 
 
 
68
  ...el-vptq/model.safetensors: 1%| | 53.6MB / 5.00GB 
 
 
 
69
  ...odel-vptq/tokenizer.model: 100%|██████████| 493kB / 493kB 
 
 
 
70
  ...el-vptq/model.safetensors: 1%|▏ | 70.4MB / 5.00GB 
 
 
 
71
  ...odel-vptq/tokenizer.model: 100%|██████████| 493kB / 493kB 
 
 
 
72
  ...el-vptq/model.safetensors: 2%|▏ | 91.9MB / 5.00GB 
 
 
 
73
  ...odel-vptq/tokenizer.model: 100%|██████████| 493kB / 493kB 
 
 
 
74
  ...el-vptq/model.safetensors: 2%|▏ | 114MB / 5.00GB 
 
 
 
75
  ...odel-vptq/tokenizer.model: 100%|██████████| 493kB / 493kB 
 
 
 
76
  ...el-vptq/model.safetensors: 3%|▎ | 134MB / 5.00GB 
 
 
 
77
  ...odel-vptq/tokenizer.model: 100%|██████████| 493kB / 493kB 
 
 
 
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  ...el-vptq/model.safetensors: 3%|▎ | 152MB / 5.00GB 
 
 
 
79
  ...odel-vptq/tokenizer.model: 100%|██████████| 493kB / 493kB 
 
 
 
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  ...el-vptq/model.safetensors: 4%|▎ | 178MB / 5.00GB 
 
 
 
81
  ...odel-vptq/tokenizer.model: 100%|██████████| 493kB / 493kB 
 
 
 
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  ...el-vptq/model.safetensors: 4%|▍ | 195MB / 5.00GB 
 
 
 
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  ...odel-vptq/tokenizer.model: 100%|██████████| 493kB / 493kB 
 
 
 
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  ...el-vptq/model.safetensors: 5%|▍ | 226MB / 5.00GB 
 
 
 
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  ...odel-vptq/tokenizer.model: 100%|██████████| 493kB / 493kB 
 
 
 
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  ...el-vptq/model.safetensors: 5%|▌ | 262MB / 5.00GB 
 
 
 
87
  ...odel-vptq/tokenizer.model: 100%|██████████| 493kB / 493kB 
 
 
 
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  ...el-vptq/model.safetensors: 6%|▌ | 299MB / 5.00GB 
 
 
 
89
  ...odel-vptq/tokenizer.model: 100%|██████████| 493kB / 493kB 
 
 
 
90
  ...el-vptq/model.safetensors: 7%|▋ | 333MB / 5.00GB 
 
 
 
91
  ...odel-vptq/tokenizer.model: 100%|██████████| 493kB / 493kB 
 
 
 
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  ...el-vptq/model.safetensors: 8%|▊ | 376MB / 5.00GB 
 
 
 
93
  ...odel-vptq/tokenizer.model: 100%|██████████| 493kB / 493kB 
 
 
 
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  ...el-vptq/model.safetensors: 8%|▊ | 424MB / 5.00GB 
 
 
 
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  ...odel-vptq/tokenizer.model: 100%|██████████| 493kB / 493kB 
 
 
 
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  ...el-vptq/model.safetensors: 9%|▉ | 452MB / 5.00GB 
 
 
 
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  ...odel-vptq/tokenizer.model: 100%|██████████| 493kB / 493kB 
 
 
 
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  ...el-vptq/model.safetensors: 10%|▉ | 481MB / 5.00GB 
 
 
 
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  ...odel-vptq/tokenizer.model: 100%|██████████| 493kB / 493kB 
 
 
 
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  ...el-vptq/model.safetensors: 10%|█ | 514MB / 5.00GB 
 
 
 
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  ...odel-vptq/tokenizer.model: 100%|██████████| 493kB / 493kB 
 
 
 
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  ...el-vptq/model.safetensors: 11%|█ | 545MB / 5.00GB 
 
 
 
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  ...odel-vptq/tokenizer.model: 100%|██████████| 493kB / 493kB 
 
 
 
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  ...el-vptq/model.safetensors: 12%|█▏ | 575MB / 5.00GB 
 
 
 
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  ...odel-vptq/tokenizer.model: 100%|██████████| 493kB / 493kB 
 
 
 
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  ...el-vptq/model.safetensors: 12%|█▏ | 610MB / 5.00GB 
 
 
 
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  ...odel-vptq/tokenizer.model: 100%|██████████| 493kB / 493kB 
 
 
 
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  ...el-vptq/model.safetensors: 13%|█▎ | 654MB / 5.00GB 
 
 
 
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  ...odel-vptq/tokenizer.model: 100%|██████████| 493kB / 493kB 
 
 
 
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  ...el-vptq/model.safetensors: 14%|█▎ | 686MB / 5.00GB 
 
 
 
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  ...odel-vptq/tokenizer.model: 100%|██████████| 493kB / 493kB 
 
 
 
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  ...el-vptq/model.safetensors: 14%|█▍ | 719MB / 5.00GB 
 
 
 
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  ...odel-vptq/tokenizer.model: 100%|██████████| 493kB / 493kB 
 
 
 
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  ...el-vptq/model.safetensors: 15%|█▌ | 767MB / 5.00GB 
 
 
 
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  ...odel-vptq/tokenizer.model: 100%|██████████| 493kB / 493kB 
 
 
 
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  ...el-vptq/model.safetensors: 16%|█▋ | 818MB / 5.00GB 
 
 
 
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  ...odel-vptq/tokenizer.model: 100%|██████████| 493kB / 493kB 
 
 
 
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  ...el-vptq/model.safetensors: 17%|█▋ | 865MB / 5.00GB 
 
 
 
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  ...odel-vptq/tokenizer.model: 100%|██████████| 493kB / 493kB 
 
 
 
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  ...el-vptq/model.safetensors: 18%|█▊ | 910MB / 5.00GB 
 
 
 
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  ...odel-vptq/tokenizer.model: 100%|██████████| 493kB / 493kB 
 
 
 
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  ...el-vptq/model.safetensors: 19%|█▉ | 945MB / 5.00GB 
 
 
 
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  ...odel-vptq/tokenizer.model: 100%|██████████| 493kB / 493kB 
 
 
 
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  ...el-vptq/model.safetensors: 19%|█▉ | 974MB / 5.00GB 
 
 
 
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  ...odel-vptq/tokenizer.model: 100%|██████████| 493kB / 493kB 
 
 
 
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  ...el-vptq/model.safetensors: 20%|██ | 1.00GB / 5.00GB 
 
 
 
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  ...odel-vptq/tokenizer.model: 100%|██████████| 493kB / 493kB 
 
 
 
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  ...el-vptq/model.safetensors: 21%|██ | 1.04GB / 5.00GB 
 
 
 
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  ...odel-vptq/tokenizer.model: 100%|██████████| 493kB / 493kB 
 
 
 
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  ...el-vptq/model.safetensors: 21%|██▏ | 1.07GB / 5.00GB 
 
 
 
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  ...odel-vptq/tokenizer.model: 100%|██████████| 493kB / 493kB 
 
 
 
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  ...el-vptq/model.safetensors: 22%|██▏ | 1.10GB / 5.00GB 
 
 
 
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  ...odel-vptq/tokenizer.model: 100%|██████████| 493kB / 493kB 
 
 
 
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  ...el-vptq/model.safetensors: 23%|██▎ | 1.14GB / 5.00GB 
 
 
 
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  ...odel-vptq/tokenizer.model: 100%|██████████| 493kB / 493kB 
 
 
 
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  ...el-vptq/model.safetensors: 24%|██▎ | 1.18GB / 5.00GB 
 
 
 
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  ...odel-vptq/tokenizer.model: 100%|██████████| 493kB / 493kB 
 
 
 
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  ...el-vptq/model.safetensors: 24%|██▍ | 1.22GB / 5.00GB 
 
 
 
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  ...odel-vptq/tokenizer.model: 100%|██████████| 493kB / 493kB 
 
 
 
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  ...el-vptq/model.safetensors: 25%|██▌ | 1.27GB / 5.00GB 
 
 
 
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  ...odel-vptq/tokenizer.model: 100%|██████████| 493kB / 493kB 
 
 
 
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  ...el-vptq/model.safetensors: 26%|██▌ | 1.31GB / 5.00GB 
 
 
 
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  ...odel-vptq/tokenizer.model: 100%|██████████| 493kB / 493kB 
 
 
 
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  ...el-vptq/model.safetensors: 27%|██▋ | 1.34GB / 5.00GB 
 
 
 
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  ...odel-vptq/tokenizer.model: 100%|██████████| 493kB / 493kB 
 
 
 
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  ...el-vptq/model.safetensors: 27%|██▋ | 1.37GB / 5.00GB 
 
 
 
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  ...odel-vptq/tokenizer.model: 100%|██████████| 493kB / 493kB 
 
 
 
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  ...el-vptq/model.safetensors: 28%|██▊ | 1.41GB / 5.00GB 
 
 
 
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  ...odel-vptq/tokenizer.model: 100%|██████████| 493kB / 493kB 
 
 
 
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  ...el-vptq/model.safetensors: 29%|██▊ | 1.43GB / 5.00GB 
 
 
 
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  ...odel-vptq/tokenizer.model: 100%|██████████| 493kB / 493kB 
 
 
 
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  ...el-vptq/model.safetensors: 29%|██▉ | 1.45GB / 5.00GB 
 
 
 
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  ...odel-vptq/tokenizer.model: 100%|██████████| 493kB / 493kB 
 
 
 
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  ...el-vptq/model.safetensors: 29%|██▉ | 1.47GB / 5.00GB 
 
 
 
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  ...odel-vptq/tokenizer.model: 100%|██████████| 493kB / 493kB 
 
 
 
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  ...el-vptq/model.safetensors: 30%|██▉ | 1.50GB / 5.00GB 
 
 
 
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  ...odel-vptq/tokenizer.model: 100%|██████████| 493kB / 493kB 
 
 
 
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  ...el-vptq/model.safetensors: 30%|███ | 1.52GB / 5.00GB 
 
 
 
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  ...odel-vptq/tokenizer.model: 100%|██████████| 493kB / 493kB 
 
 
 
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  ...el-vptq/model.safetensors: 31%|███ | 1.55GB / 5.00GB 
 
 
 
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  ...odel-vptq/tokenizer.model: 100%|██████████| 493kB / 493kB 
 
 
 
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  ...el-vptq/model.safetensors: 32%|███▏ | 1.59GB / 5.00GB 
 
 
 
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  ...odel-vptq/tokenizer.model: 100%|██████████| 493kB / 493kB 
 
 
 
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  ...el-vptq/model.safetensors: 33%|███▎ | 1.63GB / 5.00GB 
 
 
 
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  ...odel-vptq/tokenizer.model: 100%|██████████| 493kB / 493kB 
 
 
 
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  ...el-vptq/model.safetensors: 33%|███▎ | 1.67GB / 5.00GB 
 
 
 
167
  ...odel-vptq/tokenizer.model: 100%|██████████| 493kB / 493kB 
 
 
 
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  ...el-vptq/model.safetensors: 34%|███▍ | 1.72GB / 5.00GB 
 
 
 
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  ...odel-vptq/tokenizer.model: 100%|██████████| 493kB / 493kB 
 
 
 
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  ...el-vptq/model.safetensors: 35%|███▌ | 1.76GB / 5.00GB 
 
 
 
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  ...odel-vptq/tokenizer.model: 100%|██████████| 493kB / 493kB 
 
 
 
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  ...el-vptq/model.safetensors: 36%|███▌ | 1.79GB / 5.00GB 
 
 
 
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  ...odel-vptq/tokenizer.model: 100%|██████████| 493kB / 493kB 
 
 
 
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  ...el-vptq/model.safetensors: 37%|███▋ | 1.83GB / 5.00GB 
 
 
 
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  ...odel-vptq/tokenizer.model: 100%|██████████| 493kB / 493kB 
 
 
 
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  ...el-vptq/model.safetensors: 37%|███▋ | 1.85GB / 5.00GB 
 
 
 
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  ...odel-vptq/tokenizer.model: 100%|██████████| 493kB / 493kB 
 
 
 
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  ...el-vptq/model.safetensors: 37%|███▋ | 1.87GB / 5.00GB 
 
 
 
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  ...odel-vptq/tokenizer.model: 100%|██████████| 493kB / 493kB 
 
 
 
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  ...el-vptq/model.safetensors: 38%|███▊ | 1.89GB / 5.00GB 
 
 
 
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  ...odel-vptq/tokenizer.model: 100%|██████████| 493kB / 493kB 
 
 
 
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  ...el-vptq/model.safetensors: 38%|███▊ | 1.92GB / 5.00GB 
 
 
 
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  ...odel-vptq/tokenizer.model: 100%|██████████| 493kB / 493kB 
 
 
 
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  ...el-vptq/model.safetensors: 39%|███▉ | 1.96GB / 5.00GB 
 
 
 
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  ...odel-vptq/tokenizer.model: 100%|██████████| 493kB / 493kB 
 
 
 
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  ...el-vptq/model.safetensors: 40%|███▉ | 1.99GB / 5.00GB 
 
 
 
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  ...odel-vptq/tokenizer.model: 100%|██████████| 493kB / 493kB 
 
 
 
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  ...el-vptq/model.safetensors: 41%|████ | 2.03GB / 5.00GB 
 
 
 
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  ...odel-vptq/tokenizer.model: 100%|██████████| 493kB / 493kB 
 
 
 
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  Model uploaded to Jakubrd4/Bielik-11B-v2.3-Instruct-VPTQ-2bit
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- [Sun Feb 22 23:14:30 UTC 2026] INFO: STEP 3 DONE
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- [Sun Feb 22 23:14:30 UTC 2026] INFO: STEP 4: Uploading logs to HuggingFace...
 
1
+ [Mon Feb 23 15:45:18 UTC 2026] INFO: === POST-QUANTIZATION AUTOMATION STARTED ===
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+ [Mon Feb 23 15:45:18 UTC 2026] INFO: Output directory: /workspace/variant-e/output/2026-02-23-08-06-48/
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+ [Mon Feb 23 15:45:18 UTC 2026] INFO: Packed model path: /workspace/variant-e/output/2026-02-23-08-06-48/packed_model
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+ [Mon Feb 23 15:45:18 UTC 2026] INFO: Unpacked model path: /workspace/variant-e/output/2026-02-23-08-06-48/model
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+ [Mon Feb 23 15:45:18 UTC 2026] INFO: STEP 1: Verifying quantized model output...
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+ [Mon Feb 23 15:45:18 UTC 2026] INFO: Output dir contents:
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+ [Mon Feb 23 15:45:18 UTC 2026] INFO: Using PACKED model from: /workspace/variant-e/output/2026-02-23-08-06-48/packed_model
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+ [Mon Feb 23 15:45:18 UTC 2026] INFO: Model files found:
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+ total 4.7G
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+ drwxrwxr-x 2 root root 4.0K Feb 23 15:35 .
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+ drwxrwxr-x 5 root root 95 Feb 23 15:43 ..
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+ -rw-rw-r-- 1 root root 3.5K Feb 23 15:35 added_tokens.json
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+ -rw-rw-r-- 1 root root 206K Feb 23 15:35 config.json
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+ -rw-rw-r-- 1 root root 153 Feb 23 15:35 generation_config.json
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+ -rw-rw-r-- 1 root root 4.7G Feb 23 15:35 model.safetensors
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+ -rw-rw-r-- 1 root root 3.4K Feb 23 15:35 special_tokens_map.json
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+ -rw-rw-r-- 1 root root 3.4M Feb 23 15:35 tokenizer.json
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+ -rw-rw-r-- 1 root root 482K Feb 23 15:35 tokenizer.model
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+ -rw-rw-r-- 1 root root 27K Feb 23 15:35 tokenizer_config.json
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+ [Mon Feb 23 15:45:18 UTC 2026] INFO: Model source size: 4.7G
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+ [Mon Feb 23 15:45:18 UTC 2026] INFO: STEP 1 DONE: Model at /workspace/model-vptq — 8 files, 4.7G total, 1 safetensors
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+ [Mon Feb 23 15:45:18 UTC 2026] INFO: STEP 2: Uploading model to HuggingFace (PRIORITY)...
 
 
 
 
 
 
 
 
 
 
 
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  Model uploaded to Jakubrd4/Bielik-11B-v2.3-Instruct-VPTQ-2bit
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+ [Mon Feb 23 15:46:01 UTC 2026] INFO: STEP 2 DONE: Model upload completed
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+ [Mon Feb 23 15:46:01 UTC 2026] INFO: STEP 3: Uploading logs to HuggingFace...
variant-e/logs/quantization.log CHANGED
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variant-e/logs/quantization_timing.txt CHANGED
@@ -1,2 +1,3 @@
1
- QUANTIZATION START: Sun Feb 22 19:53:21 UTC 2026
2
- QUANTIZATION END: Sun Feb 22 23:14:23 UTC 2026
 
 
1
+ QUANTIZATION START: Mon Feb 23 08:06:43 UTC 2026
2
+ QUANTIZATION END: Mon Feb 23 15:43:14 UTC 2026
3
+ QUANTIZATION END: Mon Feb 23 15:45:18 UTC 2026