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---
license: llama2
language:
- hu
- en
tags:
- puli
- text-generation-inference
- transformers
- unsloth
- llama
- trl
- finetuned
base_model: NYTK/PULI-LlumiX-32K
datasets:
- boapps/szurkemarha
pipeline_tag: text-generation
---
# PULI LlumiX 32K instruct (6.74B billion parameter)
Intruct finetuned version of NYTK/PULI-LlumiX-32K.
## Training platform
[Runpod](https://runpod.io) RTX 4090 GPU
## Hyper parameters
- Epoch: 3
- LoRA rank (r): 16
- LoRA alpha: 16
- Lr: 2e-4
- Lr scheduler: cosine
- Optimizer: adamw_8bit
- Weight decay: 0.01
## Dataset
boapps/szurkemarha
Only Hungarian instructions were selected: ~53000 prompts.
## Prompt template: ChatML
```
<|im_start|>system
Egy segítőkész mesterséges intelligencia asszisztens vagy. Válaszold meg a kérdést legjobb tudásod szerint!<|im_end|>
<|im_start|>user
Ki a legerősebb szuperhős?<|im_end|>
<|im_start|>assistant
A legerősebb szuperhős a Marvel univerzumában Hulk.<|im_end|>
```
## Base model
- Trained with OpenChatKit [github](https://github.com/togethercomputer/OpenChatKit)
- The [LLaMA-2-7B-32K](https://huggingface.co/togethercomputer/LLaMA-2-7B-32K) model were continuously pretrained on Hungarian dataset
- The model has been extended to a context length of 32K with position interpolation
- Checkpoint: 100 000 steps
## Base model dataset for continued pretraining
- Hungarian: 7.9 billion words, documents (763K) that exceed 5000 words in length
- English: Long Context QA (2 billion words), BookSum (78 million words)
## Limitations
- max_seq_length = 32 768
- float16
- vocab size: 32 000 |