tangled-llama-33m-32k-instruct-v0.1
A pretrained language model based on the Llama model with about 33M parameters. This model has been trained on 4.2B (4,252,334,823
) tokens from more than 6.2M (6,271,145
) dataset rows.
This model isn't designed for immediate use but rather for Continued Pretraining and Finetuning on a downstream task. It can handle a context length of up to 32K (32,768
) tokens, and it was pretrained with sequences of 32K (32,768
) tokens.
The objective is to streamline the cognitive or reasoning core, eliminating any redundant knowledge from the model.
lm-evaluation-harness
litgpt evaluate --tasks 'leaderboard' --out_dir 'evaluate-0/' --batch_size 4 --dtype 'bfloat16' out/contrain/final/
Tasks | Version | Filter | n-shot | Metric | Value | Stderr | ||
---|---|---|---|---|---|---|---|---|
leaderboard | N/A | |||||||
- leaderboard_bbh | N/A | |||||||
- leaderboard_bbh_boolean_expressions | 1 | none | 3 | acc_norm | ↑ | 0.4600 | ± | 0.0316 |
- leaderboard_bbh_causal_judgement | 1 | none | 3 | acc_norm | ↑ | 0.5187 | ± | 0.0366 |
- leaderboard_bbh_date_understanding | 1 | none | 3 | acc_norm | ↑ | 0.1560 | ± | 0.0230 |
- leaderboard_bbh_disambiguation_qa | 1 | none | 3 | acc_norm | ↑ | 0.3000 | ± | 0.0290 |
- leaderboard_bbh_formal_fallacies | 1 | none | 3 | acc_norm | ↑ | 0.4680 | ± | 0.0316 |
- leaderboard_bbh_geometric_shapes | 1 | none | 3 | acc_norm | ↑ | 0.0920 | ± | 0.0183 |
- leaderboard_bbh_hyperbaton | 1 | none | 3 | acc_norm | ↑ | 0.5320 | ± | 0.0316 |
- leaderboard_bbh_logical_deduction_five_objects | 1 | none | 3 | acc_norm | ↑ | 0.2240 | ± | 0.0264 |
- leaderboard_bbh_logical_deduction_seven_objects | 1 | none | 3 | acc_norm | ↑ | 0.1600 | ± | 0.0232 |
- leaderboard_bbh_logical_deduction_three_objects | 1 | none | 3 | acc_norm | ↑ | 0.3360 | ± | 0.0299 |
- leaderboard_bbh_movie_recommendation | 1 | none | 3 | acc_norm | ↑ | 0.0640 | ± | 0.0155 |
- leaderboard_bbh_navigate | 1 | none | 3 | acc_norm | ↑ | 0.4200 | ± | 0.0313 |
- leaderboard_bbh_object_counting | 1 | none | 3 | acc_norm | ↑ | 0.0640 | ± | 0.0155 |
- leaderboard_bbh_penguins_in_a_table | 1 | none | 3 | acc_norm | ↑ | 0.2397 | ± | 0.0355 |
- leaderboard_bbh_reasoning_about_colored_objects | 1 | none | 3 | acc_norm | ↑ | 0.1520 | ± | 0.0228 |
- leaderboard_bbh_ruin_names | 1 | none | 3 | acc_norm | ↑ | 0.2720 | ± | 0.0282 |
- leaderboard_bbh_salient_translation_error_detection | 1 | none | 3 | acc_norm | ↑ | 0.1240 | ± | 0.0209 |
- leaderboard_bbh_snarks | 1 | none | 3 | acc_norm | ↑ | 0.5618 | ± | 0.0373 |
- leaderboard_bbh_sports_understanding | 1 | none | 3 | acc_norm | ↑ | 0.4600 | ± | 0.0316 |
- leaderboard_bbh_temporal_sequences | 1 | none | 3 | acc_norm | ↑ | 0.2920 | ± | 0.0288 |
- leaderboard_bbh_tracking_shuffled_objects_five_objects | 1 | none | 3 | acc_norm | ↑ | 0.2040 | ± | 0.0255 |
- leaderboard_bbh_tracking_shuffled_objects_seven_objects | 1 | none | 3 | acc_norm | ↑ | 0.1200 | ± | 0.0206 |
- leaderboard_bbh_tracking_shuffled_objects_three_objects | 1 | none | 3 | acc_norm | ↑ | 0.3160 | ± | 0.0295 |
- leaderboard_bbh_web_of_lies | 1 | none | 3 | acc_norm | ↑ | 0.4880 | ± | 0.0317 |
- leaderboard_gpqa | N/A | |||||||
- leaderboard_gpqa_diamond | 1 | none | 0 | acc_norm | ↑ | 0.1919 | ± | 0.0281 |
- leaderboard_gpqa_extended | 1 | none | 0 | acc_norm | ↑ | 0.2289 | ± | 0.0180 |
- leaderboard_gpqa_main | 1 | none | 0 | acc_norm | ↑ | 0.2768 | ± | 0.0212 |
- leaderboard_ifeval | 3 | none | 0 | inst_level_loose_acc | ↑ | 0.2098 | ± | N/A |
none | 0 | inst_level_strict_acc | ↑ | 0.1966 | ± | N/A | ||
none | 0 | prompt_level_loose_acc | ↑ | 0.1109 | ± | 0.0135 | ||
none | 0 | prompt_level_strict_acc | ↑ | 0.1072 | ± | 0.0133 | ||
- leaderboard_math_hard | N/A | |||||||
- leaderboard_math_algebra_hard | 1 | none | 4 | exact_match | ↑ | 0.0000 | ± | 0 |
- leaderboard_math_counting_and_prob_hard | 1 | none | 4 | exact_match | ↑ | 0.0000 | ± | 0 |
- leaderboard_math_geometry_hard | 1 | none | 4 | exact_match | ↑ | 0.0000 | ± | 0 |
- leaderboard_math_intermediate_algebra_hard | 1 | none | 4 | exact_match | ↑ | 0.0000 | ± | 0 |
- leaderboard_math_num_theory_hard | 1 | none | 4 | exact_match | ↑ | 0.0000 | ± | 0 |
- leaderboard_math_prealgebra_hard | 1 | none | 4 | exact_match | ↑ | 0.0000 | ± | 0 |
- leaderboard_math_precalculus_hard | 1 | none | 4 | exact_match | ↑ | 0.0000 | ± | 0 |
- leaderboard_mmlu_pro | 0.1 | none | 5 | acc | ↑ | 0.1184 | ± | 0.0029 |
- leaderboard_musr | N/A | |||||||
- leaderboard_musr_murder_mysteries | 1 | none | 0 | acc_norm | ↑ | 0.5000 | ± | 0.0317 |
- leaderboard_musr_object_placements | 1 | none | 0 | acc_norm | ↑ | 0.2578 | ± | 0.0274 |
- leaderboard_musr_team_allocation | 1 | none | 0 | acc_norm | ↑ | 0.2600 | ± | 0.0278 |
litgpt evaluate --tasks 'hellaswag,gsm8k,truthfulqa_mc2,mmlu,winogrande,arc_challenge' --out_dir 'evaluate-1/' --batch_size 4 --dtype 'bfloat16' out/contrain/final/
Tasks | Version | Filter | n-shot | Metric | Value | Stderr | ||
---|---|---|---|---|---|---|---|---|
arc_challenge | 1 | none | 0 | acc | ↑ | 0.1962 | ± | 0.0116 |
none | 0 | acc_norm | ↑ | 0.2483 | ± | 0.0126 | ||
gsm8k | 3 | flexible-extract | 5 | exact_match | ↑ | 0.0008 | ± | 0.0008 |
strict-match | 5 | exact_match | ↑ | 0.0000 | ± | 0.0000 | ||
hellaswag | 1 | none | 0 | acc | ↑ | 0.2594 | ± | 0.0044 |
none | 0 | acc_norm | ↑ | 0.2564 | ± | 0.0044 | ||
mmlu | 2 | none | acc | ↑ | 0.2575 | ± | 0.0037 | |
- humanities | 2 | none | acc | ↑ | 0.2410 | ± | 0.0062 | |
- formal_logic | 1 | none | 0 | acc | ↑ | 0.3016 | ± | 0.0410 |
- high_school_european_history | 1 | none | 0 | acc | ↑ | 0.1879 | ± | 0.0305 |
- high_school_us_history | 1 | none | 0 | acc | ↑ | 0.2794 | ± | 0.0315 |
- high_school_world_history | 1 | none | 0 | acc | ↑ | 0.2363 | ± | 0.0277 |
- international_law | 1 | none | 0 | acc | ↑ | 0.1240 | ± | 0.0301 |
- jurisprudence | 1 | none | 0 | acc | ↑ | 0.2315 | ± | 0.0408 |
- logical_fallacies | 1 | none | 0 | acc | ↑ | 0.2270 | ± | 0.0329 |
- moral_disputes | 1 | none | 0 | acc | ↑ | 0.2139 | ± | 0.0221 |
- moral_scenarios | 1 | none | 0 | acc | ↑ | 0.2715 | ± | 0.0149 |
- philosophy | 1 | none | 0 | acc | ↑ | 0.2572 | ± | 0.0248 |
- prehistory | 1 | none | 0 | acc | ↑ | 0.2500 | ± | 0.0241 |
- professional_law | 1 | none | 0 | acc | ↑ | 0.2334 | ± | 0.0108 |
- world_religions | 1 | none | 0 | acc | ↑ | 0.2281 | ± | 0.0322 |
- other | 2 | none | acc | ↑ | 0.2379 | ± | 0.0076 | |
- business_ethics | 1 | none | 0 | acc | ↑ | 0.2800 | ± | 0.0451 |
- clinical_knowledge | 1 | none | 0 | acc | ↑ | 0.2943 | ± | 0.0280 |
- college_medicine | 1 | none | 0 | acc | ↑ | 0.2832 | ± | 0.0344 |
- global_facts | 1 | none | 0 | acc | ↑ | 0.1900 | ± | 0.0394 |
- human_aging | 1 | none | 0 | acc | ↑ | 0.1794 | ± | 0.0257 |
- management | 1 | none | 0 | acc | ↑ | 0.3398 | ± | 0.0469 |
- marketing | 1 | none | 0 | acc | ↑ | 0.1838 | ± | 0.0254 |
- medical_genetics | 1 | none | 0 | acc | ↑ | 0.1900 | ± | 0.0394 |
- miscellaneous | 1 | none | 0 | acc | ↑ | 0.2171 | ± | 0.0147 |
- nutrition | 1 | none | 0 | acc | ↑ | 0.2549 | ± | 0.0250 |
- professional_accounting | 1 | none | 0 | acc | ↑ | 0.2447 | ± | 0.0256 |
- professional_medicine | 1 | none | 0 | acc | ↑ | 0.3162 | ± | 0.0282 |
- virology | 1 | none | 0 | acc | ↑ | 0.1506 | ± | 0.0278 |
- social sciences | 2 | none | acc | ↑ | 0.2899 | ± | 0.0082 | |
- econometrics | 1 | none | 0 | acc | ↑ | 0.2807 | ± | 0.0423 |
- high_school_geography | 1 | none | 0 | acc | ↑ | 0.3030 | ± | 0.0327 |
- high_school_government_and_politics | 1 | none | 0 | acc | ↑ | 0.3109 | ± | 0.0334 |
- high_school_macroeconomics | 1 | none | 0 | acc | ↑ | 0.3103 | ± | 0.0235 |
- high_school_microeconomics | 1 | none | 0 | acc | ↑ | 0.2563 | ± | 0.0284 |
- high_school_psychology | 1 | none | 0 | acc | ↑ | 0.3193 | ± | 0.0200 |
- human_sexuality | 1 | none | 0 | acc | ↑ | 0.2824 | ± | 0.0395 |
- professional_psychology | 1 | none | 0 | acc | ↑ | 0.2451 | ± | 0.0174 |
- public_relations | 1 | none | 0 | acc | ↑ | 0.2818 | ± | 0.0431 |
- security_studies | 1 | none | 0 | acc | ↑ | 0.3592 | ± | 0.0307 |
- sociology | 1 | none | 0 | acc | ↑ | 0.2488 | ± | 0.0306 |
- us_foreign_policy | 1 | none | 0 | acc | ↑ | 0.2800 | ± | 0.0451 |
- stem | 2 | none | acc | ↑ | 0.2699 | ± | 0.0079 | |
- abstract_algebra | 1 | none | 0 | acc | ↑ | 0.1900 | ± | 0.0394 |
- anatomy | 1 | none | 0 | acc | ↑ | 0.2444 | ± | 0.0371 |
- astronomy | 1 | none | 0 | acc | ↑ | 0.2961 | ± | 0.0372 |
- college_biology | 1 | none | 0 | acc | ↑ | 0.2431 | ± | 0.0359 |
- college_chemistry | 1 | none | 0 | acc | ↑ | 0.3500 | ± | 0.0479 |
- college_computer_science | 1 | none | 0 | acc | ↑ | 0.2700 | ± | 0.0446 |
- college_mathematics | 1 | none | 0 | acc | ↑ | 0.2400 | ± | 0.0429 |
- college_physics | 1 | none | 0 | acc | ↑ | 0.3627 | ± | 0.0478 |
- computer_security | 1 | none | 0 | acc | ↑ | 0.1900 | ± | 0.0394 |
- conceptual_physics | 1 | none | 0 | acc | ↑ | 0.2766 | ± | 0.0292 |
- electrical_engineering | 1 | none | 0 | acc | ↑ | 0.2621 | ± | 0.0366 |
- elementary_mathematics | 1 | none | 0 | acc | ↑ | 0.2725 | ± | 0.0229 |
- high_school_biology | 1 | none | 0 | acc | ↑ | 0.3065 | ± | 0.0262 |
- high_school_chemistry | 1 | none | 0 | acc | ↑ | 0.2562 | ± | 0.0307 |
- high_school_computer_science | 1 | none | 0 | acc | ↑ | 0.2200 | ± | 0.0416 |
- high_school_mathematics | 1 | none | 0 | acc | ↑ | 0.2630 | ± | 0.0268 |
- high_school_physics | 1 | none | 0 | acc | ↑ | 0.2649 | ± | 0.0360 |
- high_school_statistics | 1 | none | 0 | acc | ↑ | 0.3380 | ± | 0.0323 |
- machine_learning | 1 | none | 0 | acc | ↑ | 0.1607 | ± | 0.0349 |
truthfulqa_mc2 | 2 | none | 0 | acc | ↑ | 0.4992 | ± | 0.0163 |
winogrande | 1 | none | 0 | acc | ↑ | 0.5075 | ± | 0.0141 |
Groups | Version | Filter | n-shot | Metric | Value | Stderr | ||
---|---|---|---|---|---|---|---|---|
mmlu | 2 | none | acc | ↑ | 0.2575 | ± | 0.0037 | |
- humanities | 2 | none | acc | ↑ | 0.2410 | ± | 0.0062 | |
- other | 2 | none | acc | ↑ | 0.2379 | ± | 0.0076 | |
- social sciences | 2 | none | acc | ↑ | 0.2899 | ± | 0.0082 | |
- stem | 2 | none | acc | ↑ | 0.2699 | ± | 0.0079 |
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