diff --git "a/variant_a/logs/remaining_log.txt" "b/variant_a/logs/remaining_log.txt"
new file mode 100644--- /dev/null
+++ "b/variant_a/logs/remaining_log.txt"
@@ -0,0 +1,265 @@
+I0222 00:37:05.890383 23845 utils.py:148] Note: detected 192 virtual cores but NumExpr set to maximum of 64, check "NUMEXPR_MAX_THREADS" environment variable.
+I0222 00:37:05.890456 23845 utils.py:151] Note: NumExpr detected 192 cores but "NUMEXPR_MAX_THREADS" not set, so enforcing safe limit of 16.
+I0222 00:37:05.890494 23845 utils.py:164] NumExpr defaulting to 16 threads.
+I0222 00:37:05.973141 23845 config.py:58] PyTorch version 2.10.0+cu126 available.
+W0222 00:37:06.103772 23845 warnings.py:112] /dev/shm/eval/quip-sharp/lib/codebook/__init__.py:6: FutureWarning: `torch.library.impl_abstract` was renamed to `torch.library.register_fake`. Please use that instead; we will remove `torch.library.impl_abstract` in a future version of PyTorch.
+  @torch.library.impl_abstract("quip_lib::decode_matvec_e8p")
+
+W0222 00:37:06.141689 23845 warnings.py:112] /dev/shm/eval/quip-sharp/lib/codebook/__init__.py:25: FutureWarning: `torch.library.impl_abstract` was renamed to `torch.library.register_fake`. Please use that instead; we will remove `torch.library.impl_abstract` in a future version of PyTorch.
+  @torch.library.impl_abstract("quip_lib::decompress_packed_e8p")
+
+W0222 00:37:06.150795 23845 warnings.py:112] /dev/shm/eval/quip-sharp/lib/utils/matmul_had.py:96: FutureWarning: `torch.library.impl_abstract` was renamed to `torch.library.register_fake`. Please use that instead; we will remove `torch.library.impl_abstract` in a future version of PyTorch.
+  @torch.library.impl_abstract("quip_lib::hadamard")
+
+[00:37:26] ============================================================
+[00:37:26]   Polish LLM Leaderboard Eval
+[00:37:26]   Model: QuIP# Bielik-Q2-Sharp Variant A
+[00:37:26]   lm-eval API: new
+[00:37:26]   Tasks: ['polish_belebele_mc', 'polish_belebele_regex', 'polish_dyk_multiple_choice', 'polish_dyk_regex', 'polish_klej_ner_multiple_choice', 'polish_klej_ner_regex', 'polish_polqa_reranking_multiple_choice', 'polish_polqa_open_book', 'polish_polqa_closed_book', 'polish_poquad_open_book', 'polish_poleval2018_task3_test_10k']
+[00:37:26]   Few-shot: 5
+[00:37:26] ============================================================
+[00:37:26] Loading QuIP# model from /dev/shm/eval/model...
+I0222 00:37:28.136962 23845 modeling.py:987] We will use 90% of the memory on device 0 for storing the model, and 10% for the buffer to avoid OOM. You can set `max_memory` in to a higher value to use more memory (at your own risk).
+[00:37:29] Model loaded in 3.2s
+[00:37:29] Tokenizer: speakleash/Bielik-11B-v2.3-Instruct (vocab=32000)
+[00:37:29] 
+Running 11 tasks...
+I0222 00:37:29.839773 23845 evaluator.py:152] Setting random seed to 0 | Setting numpy seed to 1234 | Setting torch manual seed to 1234
+I0222 00:37:29.839840 23845 evaluator.py:203] Using pre-initialized model
+W0222 00:37:35.426047 23845 task.py:325] [Task: polish_belebele_regex] has_training_docs and has_validation_docs are False, using test_docs as fewshot_docs but this is not recommended.
+W0222 00:37:35.426139 23845 task.py:325] [Task: polish_belebele_regex] has_training_docs and has_validation_docs are False, using test_docs as fewshot_docs but this is not recommended.
+W0222 00:37:41.058491 23845 warnings.py:112] /dev/shm/eval/lm-evaluation-harness/lm_eval/tasks/polish_polqa/utils.py:60: SyntaxWarning: invalid escape sequence '\.'
+  _prediction = re.sub('\.? ?(</s>)* ?$','',_prediction)
+
+W0222 00:37:41.769516 23845 warnings.py:112] /venv/main/lib/python3.12/site-packages/datasets/load.py:1492: FutureWarning: The repository for ipipan/polqa contains custom code which must be executed to correctly load the dataset. You can inspect the repository content at https://hf.co/datasets/ipipan/polqa
+You can avoid this message in future by passing the argument `trust_remote_code=True`.
+Passing `trust_remote_code=True` will be mandatory to load this dataset from the next major release of `datasets`.
+  warnings.warn(
+
+W0222 00:37:43.294770 23845 warnings.py:112] /dev/shm/eval/lm-evaluation-harness/lm_eval/tasks/polish_polqa/utils.py:60: SyntaxWarning: invalid escape sequence '\.'
+  _prediction = re.sub('\.? ?(</s>)* ?$','',_prediction)
+
+W0222 00:37:43.295541 23845 warnings.py:112] /dev/shm/eval/lm-evaluation-harness/lm_eval/tasks/polish_polqa/utils.py:60: SyntaxWarning: invalid escape sequence '\.'
+  _prediction = re.sub('\.? ?(</s>)* ?$','',_prediction)
+
+W0222 00:37:43.296111 23845 warnings.py:112] /dev/shm/eval/lm-evaluation-harness/lm_eval/tasks/polish_polqa/utils.py:60: SyntaxWarning: invalid escape sequence '\.'
+  _prediction = re.sub('\.? ?(</s>)* ?$','',_prediction)
+
+W0222 00:37:44.713634 23845 warnings.py:112] /dev/shm/eval/lm-evaluation-harness/lm_eval/tasks/polish_polqa/utils.py:60: SyntaxWarning: invalid escape sequence '\.'
+  _prediction = re.sub('\.? ?(</s>)* ?$','',_prediction)
+
+W0222 00:37:44.714406 23845 warnings.py:112] /dev/shm/eval/lm-evaluation-harness/lm_eval/tasks/polish_polqa/utils.py:60: SyntaxWarning: invalid escape sequence '\.'
+  _prediction = re.sub('\.? ?(</s>)* ?$','',_prediction)
+
+W0222 00:37:44.714999 23845 warnings.py:112] /dev/shm/eval/lm-evaluation-harness/lm_eval/tasks/polish_polqa/utils.py:60: SyntaxWarning: invalid escape sequence '\.'
+  _prediction = re.sub('\.? ?(</s>)* ?$','',_prediction)
+
+
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+
Generating train split:   0%|          | 0/10000 [00:00<?, ? examples/s]
Generating train split: 100%|██████████| 10000/10000 [00:00<00:00, 533117.76 examples/s]
+W0222 00:37:51.530576 23845 task.py:325] [Task: polish_poleval2018_task3_test_10k] has_training_docs and has_validation_docs are False, using test_docs as fewshot_docs but this is not recommended.
+W0222 00:37:51.530667 23845 task.py:325] [Task: polish_poleval2018_task3_test_10k] has_training_docs and has_validation_docs are False, using test_docs as fewshot_docs but this is not recommended.
+W0222 00:37:51.601970 23845 evaluator.py:251] Overwriting default num_fewshot of polish_poleval2018_task3_test_10k from None to 5
+I0222 00:37:51.602053 23845 evaluator.py:261] Setting fewshot random generator seed to 1234
+W0222 00:37:51.602080 23845 evaluator.py:251] Overwriting default num_fewshot of polish_poquad_open_book from None to 5
+I0222 00:37:51.602109 23845 evaluator.py:261] Setting fewshot random generator seed to 1234
+W0222 00:37:51.602127 23845 evaluator.py:251] Overwriting default num_fewshot of polish_polqa_closed_book from None to 5
+I0222 00:37:51.602154 23845 evaluator.py:261] Setting fewshot random generator seed to 1234
+W0222 00:37:51.602169 23845 evaluator.py:251] Overwriting default num_fewshot of polish_polqa_open_book from None to 5
+I0222 00:37:51.602191 23845 evaluator.py:261] Setting fewshot random generator seed to 1234
+W0222 00:37:51.602204 23845 evaluator.py:251] Overwriting default num_fewshot of polish_polqa_reranking_multiple_choice from None to 5
+I0222 00:37:51.602225 23845 evaluator.py:261] Setting fewshot random generator seed to 1234
+W0222 00:37:51.602237 23845 evaluator.py:251] Overwriting default num_fewshot of polish_klej_ner_regex from None to 5
+I0222 00:37:51.602261 23845 evaluator.py:261] Setting fewshot random generator seed to 1234
+W0222 00:37:51.602272 23845 evaluator.py:251] Overwriting default num_fewshot of polish_klej_ner_multiple_choice from None to 5
+I0222 00:37:51.602293 23845 evaluator.py:261] Setting fewshot random generator seed to 1234
+W0222 00:37:51.602306 23845 evaluator.py:251] Overwriting default num_fewshot of polish_dyk_regex from None to 5
+I0222 00:37:51.602328 23845 evaluator.py:261] Setting fewshot random generator seed to 1234
+W0222 00:37:51.602339 23845 evaluator.py:251] Overwriting default num_fewshot of polish_dyk_multiple_choice from None to 5
+I0222 00:37:51.602359 23845 evaluator.py:261] Setting fewshot random generator seed to 1234
+W0222 00:37:51.602370 23845 evaluator.py:251] Overwriting default num_fewshot of polish_belebele_regex from None to 5
+I0222 00:37:51.602394 23845 evaluator.py:261] Setting fewshot random generator seed to 1234
+W0222 00:37:51.602407 23845 evaluator.py:251] Overwriting default num_fewshot of polish_belebele_mc from None to 5
+I0222 00:37:51.602430 23845 evaluator.py:261] Setting fewshot random generator seed to 1234
+I0222 00:37:51.604216 23845 task.py:410] Building contexts for polish_poleval2018_task3_test_10k on rank 0...
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+I0222 00:38:13.029169 23845 task.py:410] Building contexts for polish_poquad_open_book on rank 0...
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+I0222 00:38:27.689584 23845 task.py:410] Building contexts for polish_polqa_closed_book on rank 0...
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+I0222 00:38:29.305814 23845 task.py:410] Building contexts for polish_polqa_open_book on rank 0...
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+I0222 00:38:41.701749 23845 task.py:410] Building contexts for polish_polqa_reranking_multiple_choice on rank 0...
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+I0222 00:39:32.130883 23845 task.py:410] Building contexts for polish_klej_ner_regex on rank 0...
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+I0222 00:39:43.512863 23845 task.py:410] Building contexts for polish_klej_ner_multiple_choice on rank 0...
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+I0222 00:39:54.983714 23845 task.py:410] Building contexts for polish_dyk_regex on rank 0...
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+I0222 00:40:01.342869 23845 task.py:410] Building contexts for polish_dyk_multiple_choice on rank 0...
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+I0222 00:40:05.403583 23845 task.py:410] Building contexts for polish_belebele_regex on rank 0...
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+I0222 00:40:12.132845 23845 task.py:410] Building contexts for polish_belebele_mc on rank 0...
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+I0222 00:40:17.502768 23845 evaluator.py:431] Running loglikelihood_rolling requests
+I0222 02:08:27.403372 23845 evaluator.py:431] Running generate_until requests
+[02:08:52]   generate_until: 16642 requests, batch_size=32 (length-sorted)
+[02:08:52]   context lengths: min=219, max=1998, median=1167, max_gen_toks=64
+[02:13:42]   generate_until: 320/16642 (66.3 req/min, ETA 246.3min)
+[02:18:34]   generate_until: 640/16642 (66.0 req/min, ETA 242.5min)
+[02:23:30]   generate_until: 960/16642 (65.6 req/min, ETA 239.0min)
+[02:29:07]   generate_until: 1280/16642 (63.2 req/min, ETA 243.1min)
+[02:34:54]   generate_until: 1600/16642 (61.5 req/min, ETA 244.7min)
+[02:40:44]   generate_until: 1920/16642 (60.3 req/min, ETA 244.3min)
+[02:46:36]   generate_until: 2240/16642 (59.4 req/min, ETA 242.6min)
+[02:52:29]   generate_until: 2560/16642 (58.7 req/min, ETA 239.9min)
+[02:58:22]   generate_until: 2880/16642 (58.2 req/min, ETA 236.6min)
+[03:04:18]   generate_until: 3200/16642 (57.7 req/min, ETA 232.8min)
+[03:10:18]   generate_until: 3520/16642 (57.3 req/min, ETA 229.0min)
+[03:16:16]   generate_until: 3840/16642 (57.0 req/min, ETA 224.7min)
+[03:22:17]   generate_until: 4160/16642 (56.7 req/min, ETA 220.3min)
+[03:28:22]   generate_until: 4480/16642 (56.3 req/min, ETA 215.8min)
+[03:34:26]   generate_until: 4800/16642 (56.1 req/min, ETA 211.1min)
+[03:40:31]   generate_until: 5120/16642 (55.9 req/min, ETA 206.2min)
+[03:46:38]   generate_until: 5440/16642 (55.6 req/min, ETA 201.3min)
+[03:52:48]   generate_until: 5760/16642 (55.4 req/min, ETA 196.3min)
+[03:59:00]   generate_until: 6080/16642 (55.2 req/min, ETA 191.3min)
+[04:05:16]   generate_until: 6400/16642 (55.0 req/min, ETA 186.3min)
+[04:11:35]   generate_until: 6720/16642 (54.8 req/min, ETA 181.2min)
+[04:17:58]   generate_until: 7040/16642 (54.5 req/min, ETA 176.1min)
+[04:24:22]   generate_until: 7360/16642 (54.3 req/min, ETA 170.9min)
+[04:30:48]   generate_until: 7680/16642 (54.1 req/min, ETA 165.6min)
+[04:37:22]   generate_until: 8000/16642 (53.9 req/min, ETA 160.4min)
+[04:44:00]   generate_until: 8320/16642 (53.6 req/min, ETA 155.2min)
+[04:50:40]   generate_until: 8640/16642 (53.4 req/min, ETA 149.9min)
+[04:57:28]   generate_until: 8960/16642 (53.1 req/min, ETA 144.6min)
+[05:04:26]   generate_until: 9280/16642 (52.9 req/min, ETA 139.3min)
+[05:11:37]   generate_until: 9600/16642 (52.5 req/min, ETA 134.1min)
+[05:19:05]   generate_until: 9920/16642 (52.2 req/min, ETA 128.9min)
+[05:26:57]   generate_until: 10240/16642 (51.7 req/min, ETA 123.8min)
+[05:35:13]   generate_until: 10560/16642 (51.2 req/min, ETA 118.8min)
+[05:43:27]   generate_until: 10880/16642 (50.7 req/min, ETA 113.6min)
+[05:51:41]   generate_until: 11200/16642 (50.3 req/min, ETA 108.3min)
+[06:00:00]   generate_until: 11520/16642 (49.8 req/min, ETA 102.8min)
+[06:08:16]   generate_until: 11840/16642 (49.5 req/min, ETA 97.1min)
+[06:16:33]   generate_until: 12160/16642 (49.1 req/min, ETA 91.3min)
+[06:24:48]   generate_until: 12480/16642 (48.8 req/min, ETA 85.4min)
+[06:33:02]   generate_until: 12800/16642 (48.5 req/min, ETA 79.3min)
+[06:41:17]   generate_until: 13120/16642 (48.2 req/min, ETA 73.1min)
+[06:49:30]   generate_until: 13440/16642 (47.9 req/min, ETA 66.9min)
+[06:57:46]   generate_until: 13760/16642 (47.6 req/min, ETA 60.5min)
+[07:06:01]   generate_until: 14080/16642 (47.4 req/min, ETA 54.1min)
+[07:14:17]   generate_until: 14400/16642 (47.1 req/min, ETA 47.6min)
+[07:22:32]   generate_until: 14720/16642 (46.9 req/min, ETA 41.0min)
+[07:30:48]   generate_until: 15040/16642 (46.7 req/min, ETA 34.3min)
+[07:39:04]   generate_until: 15360/16642 (46.5 req/min, ETA 27.6min)
+[07:47:19]   generate_until: 15680/16642 (46.3 req/min, ETA 20.8min)
+[07:55:34]   generate_until: 16000/16642 (46.1 req/min, ETA 13.9min)
+[08:03:49]   generate_until: 16320/16642 (46.0 req/min, ETA 7.0min)
+[08:12:04]   generate_until: 16640/16642 (45.8 req/min, ETA 0.0min)
+[08:12:33]   generate_until: 16642/16642 (45.8 req/min, ETA 0.0min)
+[08:12:33]   generate_until done: 16642 in 21821s (45.8 req/min)
+I0222 08:12:33.778982 23845 evaluator.py:431] Running loglikelihood requests
+[08:13:21]   loglikelihood: 43424 requests, batch_size=32 (length-sorted)
+[08:13:21]   sequence lengths: min=621, max=2048, median=1148
+[08:19:48]   loglikelihood: 1600/43424 (4.1 req/s, ETA 168.9min)
+[08:26:32]   loglikelihood: 3200/43424 (4.0 req/s, ETA 165.8min)
+[08:33:26]   loglikelihood: 4800/43424 (4.0 req/s, ETA 161.6min)
+[08:40:30]   loglikelihood: 6400/43424 (3.9 req/s, ETA 157.1min)
+[08:47:45]   loglikelihood: 8000/43424 (3.9 req/s, ETA 152.4min)
+[08:55:12]   loglikelihood: 9600/43424 (3.8 req/s, ETA 147.5min)
+[09:02:56]   loglikelihood: 11200/43424 (3.8 req/s, ETA 142.7min)
+[09:11:15]   loglikelihood: 12800/43424 (3.7 req/s, ETA 138.5min)
+[09:20:27]   loglikelihood: 14400/43424 (3.6 req/s, ETA 135.2min)
+[09:30:12]   loglikelihood: 16000/43424 (3.5 req/s, ETA 131.7min)
+[09:40:19]   loglikelihood: 17600/43424 (3.4 req/s, ETA 127.6min)
+[09:50:42]   loglikelihood: 19200/43424 (3.3 req/s, ETA 122.8min)
+[10:01:22]   loglikelihood: 20800/43424 (3.2 req/s, ETA 117.5min)
+[10:12:15]   loglikelihood: 22400/43424 (3.1 req/s, ETA 111.6min)
+[10:23:23]   loglikelihood: 24000/43424 (3.1 req/s, ETA 105.2min)
+[10:34:45]   loglikelihood: 25600/43424 (3.0 req/s, ETA 98.5min)
+[10:46:21]   loglikelihood: 27200/43424 (3.0 req/s, ETA 91.3min)
+[10:58:09]   loglikelihood: 28800/43424 (2.9 req/s, ETA 83.7min)
+[11:10:12]   loglikelihood: 30400/43424 (2.9 req/s, ETA 75.8min)
+[11:22:30]   loglikelihood: 32000/43424 (2.8 req/s, ETA 67.5min)
+[11:35:03]   loglikelihood: 33600/43424 (2.8 req/s, ETA 59.0min)
+[11:47:58]   loglikelihood: 35200/43424 (2.7 req/s, ETA 50.1min)
+[12:01:16]   loglikelihood: 36800/43424 (2.7 req/s, ETA 41.0min)
+[12:15:06]   loglikelihood: 38400/43424 (2.6 req/s, ETA 31.6min)
+[12:30:23]   loglikelihood: 40000/43424 (2.6 req/s, ETA 22.0min)
+[12:49:51]   loglikelihood: 41600/43424 (2.5 req/s, ETA 12.1min)
+[13:09:07]   loglikelihood: 43200/43424 (2.4 req/s, ETA 1.5min)
+[13:11:49]   loglikelihood done: 43424 in 17908s (2.4 req/s)
+[13:13:02] 
+All tasks completed in 45332s
+[13:13:04] Saved: /dev/shm/eval/results_remaining/full_results.json
+[13:13:04] 
+  polish_poleval2018_task3_test_10k:
+[13:13:04]     word_perplexity,none: 179.0942
+[13:13:04]     byte_perplexity,none: 1.9936
+[13:13:04]     bits_per_byte,none: 0.9953
+[13:13:04] 
+  polish_poquad_open_book:
+[13:13:04]     exact_match,none: 0.3164
+[13:13:04]     exact_match_stderr,none: 0.0061
+[13:13:04]     levenshtein,none: 0.6423
+[13:13:04] 
+  polish_polqa_closed_book:
+[13:13:04]     exact_match,none: 0.6096
+[13:13:04]     exact_match_stderr,none: 0.0157
+[13:13:04]     levenshtein,none: 0.7342
+[13:13:04] 
+  polish_polqa_open_book:
+[13:13:04]     exact_match,none: 0.7763
+[13:13:04]     exact_match_stderr,none: 0.0054
+[13:13:04]     levenshtein,none: 0.9111
+[13:13:04] 
+  polish_polqa_reranking_multiple_choice:
+[13:13:04]     acc,none: 0.8218
+[13:13:04]     acc_stderr,none: 0.0034
+[13:13:04]     acc_norm,none: 0.8218
+[13:13:04]     acc_norm_stderr,none: 0.0034
+[13:13:04] 
+  polish_klej_ner_regex:
+[13:13:04]     exact_match,score-first: 0.5345
+[13:13:04]     exact_match_stderr,score-first: 0.0110
+[13:13:04] 
+  polish_klej_ner_multiple_choice:
+[13:13:04]     acc,none: 0.4840
+[13:13:04]     acc_stderr,none: 0.0110
+[13:13:04]     acc_norm,none: 0.3115
+[13:13:04]     acc_norm_stderr,none: 0.0102
+[13:13:04] 
+  polish_dyk_regex:
+[13:13:04]     exact_match,score-first: 0.8241
+[13:13:04]     exact_match_stderr,score-first: 0.0119
+[13:13:04]     f1,score-first: 0.6371
+[13:13:04] 
+  polish_dyk_multiple_choice:
+[13:13:04]     acc,none: 0.8756
+[13:13:04]     acc_stderr,none: 0.0103
+[13:13:04]     f1,none: 0.6863
+[13:13:04]     acc_norm,none: 0.8756
+[13:13:04]     acc_norm_stderr,none: 0.0103
+[13:13:04] 
+  polish_belebele_regex:
+[13:13:04]     exact_match,score-first: 0.8511
+[13:13:04]     exact_match_stderr,score-first: 0.0119
+[13:13:04] 
+  polish_belebele_mc:
+[13:13:04]     acc,none: 0.8167
+[13:13:04]     acc_stderr,none: 0.0129
+[13:13:04]     acc_norm,none: 0.8167
+[13:13:04]     acc_norm_stderr,none: 0.0129
+[13:13:04] 
+============================================================
+[13:13:04]   FINAL RESULTS SUMMARY
+[13:13:04] ============================================================
+Traceback (most recent call last):
+  File "/dev/shm/eval/eval_polish_quip.py", line 481, in <module>
+    main()
+  File "/dev/shm/eval/eval_polish_quip.py", line 458, in main
+    if key in metrics:
+       ^^^^^^^^^^^^^^
+TypeError: argument of type 'float' is not iterable