license: apache-2.0
pipeline_tag: text-generation
library_name: transformers
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
datasets:
- yahma/alpaca-cleaned
- gbharti/wealth-alpaca_lora
- databricks/databricks-dolly-15k
- VMware/open-instruct
- saillab/taco-datasets
- xu-song/cc100-samples
- jordiclive/wikipedia-summary-dataset
- bigcode/the-stack-smol-xs
- m-a-p/CodeFeedback-Filtered-Instruction
- jtatman/python-code-dataset-500k
- iamtarun/python_code_instructions_18k_alpaca
- HuggingFaceH4/CodeAlpaca_20K
- cognitivecomputations/dolphin-coder
- fblgit/simple-math
- gair-prox/open-web-math-pro
- rvv-karma/Math-QA
- ajibawa-2023/Maths-College
- microsoft/orca-math-word-problems-200k
- meta-math/MetaMathQA
- TIGER-Lab/MathInstruct
- TIGER-Lab/WebInstructSub
- SkunkworksAI/reasoning-0.01
- KingNish/reasoning-base-20k
- Magpie-Align/Magpie-Reasoning-150K
- thesven/gsm8k-reasoning
- AlgorithmicResearchGroup/math_reasoning_autoformalization_track
- badrex/llm-emoji-dataset
tags:
- litgpt
- litdata
tangled-llama-t-32k-base-v0.1
A pretrained language model based on the Llama model with about 25M parameters. This model has been trained on 22.1B (22,111,299,936) tokens from more than 3.6M (3,597,088) dataset rows.
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 128K (131,072) tokens, it was pretrained with sequences of 2K (2048) tokens.
The objective is to streamline the cognitive or reasoning core, eliminating any redundant knowledge from the model.
lm-evaluation-harness
litgpt evaluate --tasks 'hellaswag,gsm8k,truthfulqa_mc2,mmlu,winogrande,arc_challenge' --out_dir 'evaluate-quick/' --batch_size 4 --dtype 'bfloat16' out/pretrain/final/
Tasks |Version| Filter |n-shot| Metric | |Value | |Stderr|
|---------------------------------------|------:|----------------|-----:|-----------|---|-----:|---|-----:|
|arc_challenge | 1|none | 0|acc |↑ |0.1971|± |0.0116|
| | |none | 0|acc_norm |↑ |0.2423|± |0.0125|
|gsm8k | 3|flexible-extract| 5|exact_match|↑ |0.0099|± |0.0027|
| | |strict-match | 5|exact_match|↑ |0.0000|± |0.0000|
|hellaswag | 1|none | 0|acc |↑ |0.2608|± |0.0044|
| | |none | 0|acc_norm |↑ |0.2665|± |0.0044|
|mmlu | 2|none | |acc |↑ |0.2451|± |0.0036|
| - humanities | 2|none | |acc |↑ |0.2470|± |0.0063|
| - formal_logic | 1|none | 0|acc |↑ |0.3254|± |0.0419|
| - high_school_european_history | 1|none | 0|acc |↑ |0.2545|± |0.0340|
| - high_school_us_history | 1|none | 0|acc |↑ |0.2745|± |0.0313|
| - high_school_world_history | 1|none | 0|acc |↑ |0.2194|± |0.0269|
| - international_law | 1|none | 0|acc |↑ |0.2231|± |0.0380|
| - jurisprudence | 1|none | 0|acc |↑ |0.2685|± |0.0428|
| - logical_fallacies | 1|none | 0|acc |↑ |0.2025|± |0.0316|
| - moral_disputes | 1|none | 0|acc |↑ |0.2457|± |0.0232|
| - moral_scenarios | 1|none | 0|acc |↑ |0.2670|± |0.0148|
| - philosophy | 1|none | 0|acc |↑ |0.1865|± |0.0221|
| - prehistory | 1|none | 0|acc |↑ |0.2500|± |0.0241|
| - professional_law | 1|none | 0|acc |↑ |0.2523|± |0.0111|
| - world_religions | 1|none | 0|acc |↑ |0.1871|± |0.0299|
| - other | 2|none | |acc |↑ |0.2456|± |0.0077|
| - business_ethics | 1|none | 0|acc |↑ |0.3400|± |0.0476|
| - clinical_knowledge | 1|none | 0|acc |↑ |0.2113|± |0.0251|
| - college_medicine | 1|none | 0|acc |↑ |0.2543|± |0.0332|
| - global_facts | 1|none | 0|acc |↑ |0.1800|± |0.0386|
| - human_aging | 1|none | 0|acc |↑ |0.1749|± |0.0255|
| - management | 1|none | 0|acc |↑ |0.3398|± |0.0469|
| - marketing | 1|none | 0|acc |↑ |0.2479|± |0.0283|
| - medical_genetics | 1|none | 0|acc |↑ |0.3100|± |0.0465|
| - miscellaneous | 1|none | 0|acc |↑ |0.2171|± |0.0147|
| - nutrition | 1|none | 0|acc |↑ |0.2647|± |0.0253|
| - professional_accounting | 1|none | 0|acc |↑ |0.2270|± |0.0250|
| - professional_medicine | 1|none | 0|acc |↑ |0.2978|± |0.0278|
| - virology | 1|none | 0|acc |↑ |0.3133|± |0.0361|
| - social sciences | 2|none | |acc |↑ |0.2584|± |0.0079|
| - econometrics | 1|none | 0|acc |↑ |0.2193|± |0.0389|
| - high_school_geography | 1|none | 0|acc |↑ |0.2677|± |0.0315|
| - high_school_government_and_politics| 1|none | 0|acc |↑ |0.2435|± |0.0310|
| - high_school_macroeconomics | 1|none | 0|acc |↑ |0.2538|± |0.0221|
| - high_school_microeconomics | 1|none | 0|acc |↑ |0.2647|± |0.0287|
| - high_school_psychology | 1|none | 0|acc |↑ |0.2679|± |0.0190|
| - human_sexuality | 1|none | 0|acc |↑ |0.3435|± |0.0416|
| - professional_psychology | 1|none | 0|acc |↑ |0.2190|± |0.0167|
| - public_relations | 1|none | 0|acc |↑ |0.2091|± |0.0390|
| - security_studies | 1|none | 0|acc |↑ |0.2980|± |0.0293|
| - sociology | 1|none | 0|acc |↑ |0.2836|± |0.0319|
| - us_foreign_policy | 1|none | 0|acc |↑ |0.3000|± |0.0461|
| - stem | 2|none | |acc |↑ |0.2287|± |0.0075|
| - abstract_algebra | 1|none | 0|acc |↑ |0.2100|± |0.0409|
| - anatomy | 1|none | 0|acc |↑ |0.2000|± |0.0346|
| - astronomy | 1|none | 0|acc |↑ |0.2434|± |0.0349|
| - college_biology | 1|none | 0|acc |↑ |0.3333|± |0.0394|
| - college_chemistry | 1|none | 0|acc |↑ |0.3000|± |0.0461|
| - college_computer_science | 1|none | 0|acc |↑ |0.2600|± |0.0441|
| - college_mathematics | 1|none | 0|acc |↑ |0.3100|± |0.0465|
| - college_physics | 1|none | 0|acc |↑ |0.2353|± |0.0422|
| - computer_security | 1|none | 0|acc |↑ |0.2300|± |0.0423|
| - conceptual_physics | 1|none | 0|acc |↑ |0.2085|± |0.0266|
| - electrical_engineering | 1|none | 0|acc |↑ |0.2621|± |0.0366|
| - elementary_mathematics | 1|none | 0|acc |↑ |0.2011|± |0.0206|
| - high_school_biology | 1|none | 0|acc |↑ |0.2097|± |0.0232|
| - high_school_chemistry | 1|none | 0|acc |↑ |0.2217|± |0.0292|
| - high_school_computer_science | 1|none | 0|acc |↑ |0.2300|± |0.0423|
| - high_school_mathematics | 1|none | 0|acc |↑ |0.1926|± |0.0240|
| - high_school_physics | 1|none | 0|acc |↑ |0.2318|± |0.0345|
| - high_school_statistics | 1|none | 0|acc |↑ |0.1806|± |0.0262|
| - machine_learning | 1|none | 0|acc |↑ |0.2857|± |0.0429|
|truthfulqa_mc2 | 2|none | 0|acc |↑ |0.4880|± |0.0161|
|winogrande | 1|none | 0|acc |↑ |0.5185|± |0.0140|
| Groups | Version | Filter | n-shot | Metric | Value | Stderr | ||
|---|---|---|---|---|---|---|---|---|
| mmlu | 2 | none | acc | ↑ | 0.2451 | ± | 0.0036 | |
| - humanities | 2 | none | acc | ↑ | 0.2470 | ± | 0.0063 | |
| - other | 2 | none | acc | ↑ | 0.2456 | ± | 0.0077 | |
| - social sciences | 2 | none | acc | ↑ | 0.2584 | ± | 0.0079 | |
| - stem | 2 | none | acc | ↑ | 0.2287 | ± | 0.0075 |
litgpt evaluate --tasks 'leaderboard' --out_dir 'evaluate-leaderboard/' --batch_size 4 --dtype 'bfloat16' out/pretrain/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 | ↑ | 0.5027 | ± | 0.0367 |
| - leaderboard_bbh_date_understanding | 1 | none | 3 | acc_norm | ↑ | 0.1720 | ± | 0.0239 |
| - leaderboard_bbh_disambiguation_qa | 1 | none | 3 | acc_norm | ↑ | 0.2960 | ± | 0.0289 |
| - leaderboard_bbh_formal_fallacies | 1 | none | 3 | acc_norm | ↑ | 0.4880 | ± | 0.0317 |
| - leaderboard_bbh_geometric_shapes | 1 | none | 3 | acc_norm | ↑ | 0.0000 | ± | 0 |
| - leaderboard_bbh_hyperbaton | 1 | none | 3 | acc_norm | ↑ | 0.5160 | ± | 0.0317 |
| - leaderboard_bbh_logical_deduction_five_objects | 1 | none | 3 | acc_norm | ↑ | 0.2000 | ± | 0.0253 |
| - leaderboard_bbh_logical_deduction_seven_objects | 1 | none | 3 | acc_norm | ↑ | 0.1480 | ± | 0.0225 |
| - leaderboard_bbh_logical_deduction_three_objects | 1 | none | 3 | acc_norm | ↑ | 0.3160 | ± | 0.0295 |
| - leaderboard_bbh_movie_recommendation | 1 | none | 3 | acc_norm | ↑ | 0.2360 | ± | 0.0269 |
| - leaderboard_bbh_navigate | 1 | none | 3 | acc_norm | ↑ | 0.4680 | ± | 0.0316 |
| - leaderboard_bbh_object_counting | 1 | none | 3 | acc_norm | ↑ | 0.0480 | ± | 0.0135 |
| - leaderboard_bbh_penguins_in_a_table | 1 | none | 3 | acc_norm | ↑ | 0.1918 | ± | 0.0327 |
| - leaderboard_bbh_reasoning_about_colored_objects | 1 | none | 3 | acc_norm | ↑ | 0.1440 | ± | 0.0222 |
| - leaderboard_bbh_ruin_names | 1 | none | 3 | acc_norm | ↑ | 0.2360 | ± | 0.0269 |
| - leaderboard_bbh_salient_translation_error_detection | 1 | none | 3 | acc_norm | ↑ | 0.1360 | ± | 0.0217 |
| - leaderboard_bbh_snarks | 1 | none | 3 | acc_norm | ↑ | 0.5225 | ± | 0.0375 |
| - leaderboard_bbh_sports_understanding | 1 | none | 3 | acc_norm | ↑ | 0.4560 | ± | 0.0316 |
| - leaderboard_bbh_temporal_sequences | 1 | none | 3 | acc_norm | ↑ | 0.2960 | ± | 0.0289 |
| - leaderboard_bbh_tracking_shuffled_objects_five_objects | 1 | none | 3 | acc_norm | ↑ | 0.2120 | ± | 0.0259 |
| - leaderboard_bbh_tracking_shuffled_objects_seven_objects | 1 | none | 3 | acc_norm | ↑ | 0.1840 | ± | 0.0246 |
| - 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 | ↑ | 0.5200 | ± | 0.0317 |
| - leaderboard_gpqa | N/A | |||||||
| - leaderboard_gpqa_diamond | 1 | none | 0 | acc_norm | ↑ | 0.2172 | ± | 0.0294 |
| - leaderboard_gpqa_extended | 1 | none | 0 | acc_norm | ↑ | 0.2454 | ± | 0.0184 |
| - leaderboard_gpqa_main | 1 | none | 0 | acc_norm | ↑ | 0.2478 | ± | 0.0204 |
| - leaderboard_ifeval | 3 | none | 0 | inst_level_loose_acc | ↑ | 0.1727 | ± | N/A |
| none | 0 | inst_level_strict_acc | ↑ | 0.1559 | ± | N/A | ||
| none | 0 | prompt_level_loose_acc | ↑ | 0.0832 | ± | 0.0119 | ||
| none | 0 | prompt_level_strict_acc | ↑ | 0.0795 | ± | 0.0116 | ||
| - 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 | ↑ | 0.1135 | ± | 0.0029 |
| - leaderboard_musr | N/A | |||||||
| - leaderboard_musr_murder_mysteries | 1 | none | 0 | acc_norm | ↑ | 0.5240 | ± | 0.0316 |
| - leaderboard_musr_object_placements | 1 | none | 0 | acc_norm | ↑ | 0.2734 | ± | 0.0279 |
| - leaderboard_musr_team_allocation | 1 | none | 0 | acc_norm | ↑ | 0.3000 | ± | 0.0290 |
litgpt evaluate --tasks 'bbh_zeroshot,bbh_fewshot,bbh_cot_fewshot,bbh_cot_zeroshot' --out_dir 'evaluate-bigbenchhard/' --batch_size 4 --dtype 'bfloat16' out/pretrain/final/
litgpt evaluate --tasks 'mmlu,mmlu_pro' --out_dir 'evaluate-mmlu/' --batch_size 4 --dtype 'bfloat16' out/pretrain/final/
litgpt evaluate --tasks 'arc_challenge,boolq,gpqa,hellaswag,openbookqa,piqa,truthfulqa_mc2,winogrande' --out_dir 'evaluate-reasoning/' --batch_size 4 --dtype 'bfloat16' out/pretrain/final/
litgpt evaluate --tasks 'mmlu_multilingual,mgsm' --out_dir 'evaluate-multilinguals/' --batch_size 4 --dtype 'bfloat16' out/pretrain/final/
litgpt evaluate --tasks 'gsm8k,mathqa' --out_dir 'evaluate-math/' --batch_size 4 --dtype 'bfloat16' out/pretrain/final/
| Tasks | Version | Filter | n-shot | Metric | Value | Stderr | ||
|---|---|---|---|---|---|---|---|---|
| gsm8k | 3 | flexible-extract | 5 | exact_match | ↑ | 0.0099 | ± | 0.0027 |
| strict-match | 5 | exact_match | ↑ | 0.0000 | ± | 0.0000 | ||
| mathqa | 1 | none | 0 | acc | ↑ | 0.2121 | ± | 0.0075 |
| none | 0 | acc_norm | ↑ | 0.2114 | ± | 0.0075 |
litgpt evaluate --tasks 'wikitext,qasper' --out_dir 'evaluate-long/' --batch_size 4 --dtype 'bfloat16' out/pretrain/final/