---
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

![logo](./misc/logo.png)

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.

[loss, val_loss](https://api.wandb.ai/links/mtasic85/t66yvgeh)

[val_ppl](https://api.wandb.ai/links/mtasic85/osr62qqd)

[epoch](https://api.wandb.ai/links/mtasic85/pw0ilz5s)

[learning_rate](https://api.wandb.ai/links/mtasic85/867ueoyx)

## lm-evaluation-harness

```bash
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|                                                                                                              

```bash
litgpt evaluate --tasks 'leaderboard' --out_dir 'evaluate-leaderboard/' --batch_size 4 --dtype 'bfloat16' out/pretrain/final/
```

```bash
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/
```

```bash
litgpt evaluate --tasks 'mmlu,mmlu_pro' --out_dir 'evaluate-mmlu/' --batch_size 4 --dtype 'bfloat16' out/pretrain/final/
```

```bash
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/
```

```bash
litgpt evaluate --tasks 'mmlu_multilingual,mgsm' --out_dir 'evaluate-multilinguals/' --batch_size 4 --dtype 'bfloat16' out/pretrain/final/
```

```bash
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|


```bash
litgpt evaluate --tasks 'wikitext,qasper' --out_dir 'evaluate-long/' --batch_size 4 --dtype 'bfloat16' out/pretrain/final/
```