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---
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license: apache-2.0
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pipeline_tag: text-generation
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library_name: transformers
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language: ['en', 'am', 'ar', 'as', 'az', 'be', 'bg', 'bn', 'br', 'bs', 'ca', 'cs', 'cy', 'da', 'de', 'el', 'eo', 'es', 'et', 'eu', 'fa', 'ff', 'fi', 'fr', 'fy', 'ga', 'gd', 'gl', 'gn', 'gu', 'ha', 'he', 'hi', 'hr', 'ht', 'hu', 'hy', 'id', 'ig', 'is', 'it', 'ja', 'jv', 'ka', 'kk', 'km', 'kn', 'ko', 'ku', 'ky', 'la', 'lg', 'li', 'ln', 'lo', 'lt', 'lv', 'mg', 'mk', 'ml', 'mn', 'mr', 'ms', 'my', 'ne', 'nl', 'no', 'ns', 'om', 'or', 'pa', 'pl', 'ps', 'pt', 'qu', 'rm', 'ro', 'ru', 'sa', 'si', 'sc', 'sd', 'sk', 'sl', 'so', 'sq', 'sr', 'ss', 'su', 'sv', 'sw', 'ta', 'te', 'th', 'tl', 'tn', 'tr', 'ug', 'uk', 'ur', 'uz', 'vi', 'wo', 'xh', 'yi', 'yo', 'zu']
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datasets: [
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'bigcode/programming-languages-keywords',
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'bigcode/the-stack-smol-xs',
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'nampdn-ai/tiny-textbooks',
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'xu-song/cc100-samples',
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'm-a-p/CodeFeedback-Filtered-Instruction',
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'nampdn-ai/tiny-codes',
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'ajibawa-2023/Maths-College',
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'microsoft/orca-math-word-problems-200k',
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'mlabonne/FineTome-100k',
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'arcee-ai/agent-data',
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'cognitivecomputations/SystemChat-2.0',
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'badrex/llm-emoji-dataset',
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]
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tags:
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- litgpt
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- litdata
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---
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# tangled-llama-108m-32k-base-v0.1
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A pretrained language model based on the Llama model with about **108M** parameters. This model has been trained on **9.7B** (`9,782,206,713`) tokens from more than **5.2M** (`5,285,575`) dataset rows.
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This model **isn't** designed for immediate use but rather for Continued Pretraining and Finetuning on a downstream task. While it can handle a context length of up to **32K** (`32,768`) tokens, it was pretrained with sequences of **2K** (`2048`) tokens.
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The objective is to streamline the cognitive or reasoning core, eliminating any redundant knowledge from the model.
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[loss, val_loss](https://api.wandb.ai/links/mtasic85/m1gxynpw)
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[val_ppl](https://api.wandb.ai/links/mtasic85/xs21d6u2)
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[epoch](https://api.wandb.ai/links/mtasic85/vglk5c9l)
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[learning_rate](https://api.wandb.ai/links/mtasic85/dan9nz50)
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## lm-evaluation-harness
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```bash
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litgpt evaluate --tasks 'leaderboard' --out_dir 'evaluate-0/' --batch_size 4 --dtype 'bfloat16' out/pretrain/final/
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```
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| Tasks |Version|Filter|n-shot| Metric | |Value | |Stderr|
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|-----------------------------------------------------------|-------|------|-----:|-----------------------|---|-----:|---|------|
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|leaderboard | N/A| | | | | | | |
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| - leaderboard_bbh | N/A| | | | | | | |
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| - leaderboard_bbh_boolean_expressions | 1|none | 3|acc_norm |↑ |0.5040|± |0.0317|
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| - leaderboard_bbh_causal_judgement | 1|none | 3|acc_norm |↑ |0.5134|± |0.0366|
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| - leaderboard_bbh_date_understanding | 1|none | 3|acc_norm |↑ |0.1880|± |0.0248|
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| - leaderboard_bbh_disambiguation_qa | 1|none | 3|acc_norm |↑ |0.3000|± |0.0290|
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| - leaderboard_bbh_formal_fallacies | 1|none | 3|acc_norm |↑ |0.4680|± |0.0316|
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| - leaderboard_bbh_geometric_shapes | 1|none | 3|acc_norm |↑ |0.0560|± |0.0146|
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| - leaderboard_bbh_hyperbaton | 1|none | 3|acc_norm |↑ |0.4960|± |0.0317|
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| - leaderboard_bbh_logical_deduction_five_objects | 1|none | 3|acc_norm |↑ |0.1680|± |0.0237|
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| - leaderboard_bbh_logical_deduction_seven_objects | 1|none | 3|acc_norm |↑ |0.1400|± |0.0220|
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| - leaderboard_bbh_logical_deduction_three_objects | 1|none | 3|acc_norm |↑ |0.3360|± |0.0299|
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| - leaderboard_bbh_movie_recommendation | 1|none | 3|acc_norm |↑ |0.2280|± |0.0266|
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| - leaderboard_bbh_navigate | 1|none | 3|acc_norm |↑ |0.4720|± |0.0316|
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| - leaderboard_bbh_object_counting | 1|none | 3|acc_norm |↑ |0.1000|± |0.0190|
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| - leaderboard_bbh_penguins_in_a_table | 1|none | 3|acc_norm |↑ |0.1918|± |0.0327|
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| - leaderboard_bbh_reasoning_about_colored_objects | 1|none | 3|acc_norm |↑ |0.1480|± |0.0225|
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| - leaderboard_bbh_ruin_names | 1|none | 3|acc_norm |↑ |0.2920|± |0.0288|
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| - leaderboard_bbh_salient_translation_error_detection | 1|none | 3|acc_norm |↑ |0.1520|± |0.0228|
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| - leaderboard_bbh_snarks | 1|none | 3|acc_norm |↑ |0.4494|± |0.0374|
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| - leaderboard_bbh_sports_understanding | 1|none | 3|acc_norm |↑ |0.4600|± |0.0316|
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| - leaderboard_bbh_temporal_sequences | 1|none | 3|acc_norm |↑ |0.2480|± |0.0274|
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| - leaderboard_bbh_tracking_shuffled_objects_five_objects | 1|none | 3|acc_norm |↑ |0.1920|± |0.0250|
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| - leaderboard_bbh_tracking_shuffled_objects_seven_objects| 1|none | 3|acc_norm |↑ |0.1560|± |0.0230|
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| - leaderboard_bbh_tracking_shuffled_objects_three_objects| 1|none | 3|acc_norm |↑ |0.3000|± |0.0290|
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| - leaderboard_bbh_web_of_lies | 1|none | 3|acc_norm |↑ |0.5040|± |0.0317|
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| - leaderboard_gpqa | N/A| | | | | | | |
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| - leaderboard_gpqa_diamond | 1|none | 0|acc_norm |↑ |0.2222|± |0.0296|
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| - leaderboard_gpqa_extended | 1|none | 0|acc_norm |↑ |0.2711|± |0.0190|
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| - leaderboard_gpqa_main | 1|none | 0|acc_norm |↑ |0.2589|± |0.0207|
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| - leaderboard_ifeval | 3|none | 0|inst_level_loose_acc |↑ |0.2050|± | N/A|
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| | |none | 0|inst_level_strict_acc |↑ |0.1966|± | N/A|
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| | |none | 0|prompt_level_loose_acc |↑ |0.1072|± |0.0133|
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| | |none | 0|prompt_level_strict_acc|↑ |0.1035|± |0.0131|
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| - leaderboard_math_hard | N/A| | | | | | | |
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| - leaderboard_math_algebra_hard | 1|none | 4|exact_match |↑ |0.0000|± | 0|
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| - leaderboard_math_counting_and_prob_hard | 1|none | 4|exact_match |↑ |0.0000|± | 0|
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| - leaderboard_math_geometry_hard | 1|none | 4|exact_match |↑ |0.0000|± | 0|
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| - leaderboard_math_intermediate_algebra_hard | 1|none | 4|exact_match |↑ |0.0000|± | 0|
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| - leaderboard_math_num_theory_hard | 1|none | 4|exact_match |↑ |0.0000|± | 0|
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| - leaderboard_math_prealgebra_hard | 1|none | 4|exact_match |↑ |0.0000|± | 0|
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| - leaderboard_math_precalculus_hard | 1|none | 4|exact_match |↑ |0.0000|± | 0|
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| - leaderboard_mmlu_pro | 0.1|none | 5|acc |↑ |0.1151|± |0.0029|
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| - leaderboard_musr | N/A| | | | | | | |
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| - leaderboard_musr_murder_mysteries | 1|none | 0|acc_norm |↑ |0.4840|± |0.0317|
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| - leaderboard_musr_object_placements | 1|none | 0|acc_norm |↑ |0.3125|± |0.0290|
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| - leaderboard_musr_team_allocation | 1|none | 0|acc_norm |↑ |0.3840|± |0.0308|
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```bash
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litgpt evaluate --tasks 'hellaswag,gsm8k,truthfulqa_mc2,mmlu,winogrande,arc_challenge' --out_dir 'evaluate-1/' --batch_size 4 --dtype 'bfloat16' out/pretrain/final/
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```
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| Tasks |Version| Filter |n-shot| Metric | |Value | |Stderr|
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|---------------------------------------|------:|----------------|-----:|-----------|---|-----:|---|-----:|
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|arc_challenge | 1|none | 0|acc |↑ |0.1911|± |0.0115|
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| | |none | 0|acc_norm |↑ |0.2355|± |0.0124|
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|gsm8k | 3|flexible-extract| 5|exact_match|↑ |0.0152|± |0.0034|
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| | |strict-match | 5|exact_match|↑ |0.0000|± |0.0000|
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|hellaswag | 1|none | 0|acc |↑ |0.2661|± |0.0044|
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| | |none | 0|acc_norm |↑ |0.2708|± |0.0044|
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|mmlu | 2|none | |acc |↑ |0.2315|± |0.0036|
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| - humanities | 2|none | |acc |↑ |0.2372|± |0.0062|
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| - formal_logic | 1|none | 0|acc |↑ |0.2937|± |0.0407|
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| - high_school_european_history | 1|none | 0|acc |↑ |0.2424|± |0.0335|
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| - high_school_us_history | 1|none | 0|acc |↑ |0.2451|± |0.0302|
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| - high_school_world_history | 1|none | 0|acc |↑ |0.2321|± |0.0275|
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| - international_law | 1|none | 0|acc |↑ |0.1983|± |0.0364|
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| - jurisprudence | 1|none | 0|acc |↑ |0.2315|± |0.0408|
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| - logical_fallacies | 1|none | 0|acc |↑ |0.1840|± |0.0304|
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| - moral_disputes | 1|none | 0|acc |↑ |0.2110|± |0.0220|
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| - moral_scenarios | 1|none | 0|acc |↑ |0.2380|± |0.0142|
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| - philosophy | 1|none | 0|acc |↑ |0.1961|± |0.0226|
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| - prehistory | 1|none | 0|acc |↑ |0.2315|± |0.0235|
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| - professional_law | 1|none | 0|acc |↑ |0.2503|± |0.0111|
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| - world_religions | 1|none | 0|acc |↑ |0.2865|± |0.0347|
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| - other | 2|none | |acc |↑ |0.2385|± |0.0076|
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| - business_ethics | 1|none | 0|acc |↑ |0.2900|± |0.0456|
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| - clinical_knowledge | 1|none | 0|acc |↑ |0.2113|± |0.0251|
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| - college_medicine | 1|none | 0|acc |↑ |0.1965|± |0.0303|
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| - global_facts | 1|none | 0|acc |↑ |0.1900|± |0.0394|
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| - human_aging | 1|none | 0|acc |↑ |0.3004|± |0.0308|
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| - management | 1|none | 0|acc |↑ |0.1748|± |0.0376|
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| - marketing | 1|none | 0|acc |↑ |0.2863|± |0.0296|
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| - medical_genetics | 1|none | 0|acc |↑ |0.2800|± |0.0451|
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| - miscellaneous | 1|none | 0|acc |↑ |0.2350|± |0.0152|
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| - nutrition | 1|none | 0|acc |↑ |0.2255|± |0.0239|
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| - professional_accounting | 1|none | 0|acc |↑ |0.2482|± |0.0258|
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| - professional_medicine | 1|none | 0|acc |↑ |0.1985|± |0.0242|
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| - virology | 1|none | 0|acc |↑ |0.2771|± |0.0348|
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| - social sciences | 2|none | |acc |↑ |0.2281|± |0.0076|
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| - econometrics | 1|none | 0|acc |↑ |0.2105|± |0.0384|
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| - high_school_geography | 1|none | 0|acc |↑ |0.1818|± |0.0275|
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| - high_school_government_and_politics| 1|none | 0|acc |↑ |0.2280|± |0.0303|
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| - high_school_macroeconomics | 1|none | 0|acc |↑ |0.2410|± |0.0217|
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| - high_school_microeconomics | 1|none | 0|acc |↑ |0.2353|± |0.0276|
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| - high_school_psychology | 1|none | 0|acc |↑ |0.2055|± |0.0173|
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| - human_sexuality | 1|none | 0|acc |↑ |0.2595|± |0.0384|
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| - professional_psychology | 1|none | 0|acc |↑ |0.2418|± |0.0173|
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| - public_relations | 1|none | 0|acc |↑ |0.2091|± |0.0390|
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| - security_studies | 1|none | 0|acc |↑ |0.2408|± |0.0274|
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| - sociology | 1|none | 0|acc |↑ |0.2040|± |0.0285|
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| - us_foreign_policy | 1|none | 0|acc |↑ |0.3100|± |0.0465|
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| - stem | 2|none | |acc |↑ |0.2195|± |0.0074|
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| - abstract_algebra | 1|none | 0|acc |↑ |0.2700|± |0.0446|
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| - anatomy | 1|none | 0|acc |↑ |0.1630|± |0.0319|
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| - astronomy | 1|none | 0|acc |↑ |0.2303|± |0.0343|
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| - college_biology | 1|none | 0|acc |↑ |0.2569|± |0.0365|
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| - college_chemistry | 1|none | 0|acc |↑ |0.2400|± |0.0429|
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| - college_computer_science | 1|none | 0|acc |↑ |0.2100|± |0.0409|
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| - college_mathematics | 1|none | 0|acc |↑ |0.2100|± |0.0409|
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| - college_physics | 1|none | 0|acc |↑ |0.2745|± |0.0444|
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| - computer_security | 1|none | 0|acc |↑ |0.3000|± |0.0461|
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| - conceptual_physics | 1|none | 0|acc |↑ |0.1957|± |0.0259|
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| - electrical_engineering | 1|none | 0|acc |↑ |0.2276|± |0.0349|
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| - elementary_mathematics | 1|none | 0|acc |↑ |0.2302|± |0.0217|
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| - high_school_biology | 1|none | 0|acc |↑ |0.1968|± |0.0226|
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| - high_school_chemistry | 1|none | 0|acc |↑ |0.1527|± |0.0253|
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| - high_school_computer_science | 1|none | 0|acc |↑ |0.2500|± |0.0435|
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| - high_school_mathematics | 1|none | 0|acc |↑ |0.1963|± |0.0242|
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| - high_school_physics | 1|none | 0|acc |↑ |0.2053|± |0.0330|
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| - high_school_statistics | 1|none | 0|acc |↑ |0.2269|± |0.0286|
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| - machine_learning | 1|none | 0|acc |↑ |0.2768|± |0.0425|
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|truthfulqa_mc2 | 2|none | 0|acc |↑ |0.4681|± |0.0159|
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|winogrande | 1|none | 0|acc |↑ |0.5146|± |0.0140|
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| Groups |Version|Filter|n-shot|Metric| |Value | |Stderr|
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|------------------|------:|------|------|------|---|-----:|---|-----:|
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|mmlu | 2|none | |acc |↑ |0.2315|± |0.0036|
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| - humanities | 2|none | |acc |↑ |0.2372|± |0.0062|
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| - other | 2|none | |acc |↑ |0.2385|± |0.0076|
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| - social sciences| 2|none | |acc |↑ |0.2281|± |0.0076|
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| - stem | 2|none | |acc |↑ |0.2195|± |0.0074|
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