language:
- ko
- en
pipeline_tag: text-generation
inference: false
tags:
- solar
- mistral
- pytorch
- solar-ko
library_name: transformers
license: apache-2.0
Update Log
- 2024.05.16: Released Solar-Ko-Recovery
Solar-Ko-Recovery-11B 🌟❤️🩹
Solar-Ko-Recovery-11B aimed to recover Solar's capability on Korean with re-arrange of Embeddings and LM head, featuring an expanded vocabulary and the inclusion of a Korean+English corpus for enhanced representation.
Model Details
Model Developers: Junbum Lee (Beomi)
Variations: Solar-Ko-Recovery is available with one parameter sizes — 11B(10.99B🤣).
Input: The model accepts only text input.
Output: The model produces text output exclusively.
Model Architecture:
Solar-Ko-Recovery is an auto-regressive language model that leverages an optimized transformer architecture derived from Llama-2.
Training Data | Parameters | Content Length | GQA | Tokens | Learning Rate | |
---|---|---|---|---|---|---|
Solar-Ko-Recovery | A curated mix of Korean+English Corpora | 10.8B | 4k | O | >30B* | 5e-5 |
NOTE: Only Embedding layer and LM Head layer are trained.
Vocab Expansion
Vocab expansion is conducted on edited upstage/solar-1-mini-tokenizer, which is superset of Solar tokenizer.
Model Name | Vocabulary Size | Description |
---|---|---|
Original Solar | 32000 | Sentencepiece BPE |
solar-1-mini-tokenizer | 64000 | Sentencepiece BPE. Added Ko/JP vocabs |
Tokenizing "안녕하세요, 오늘은 날씨가 좋네요."
- SOLAR-10.7B: 26 tokens
- Solar-Ko-Recovery: 7 tokens
Model | Tokens |
---|---|
SOLAR-10.7B | ['▁', '안', '<0xEB>', '<0x85>', '<0x95>', '하', '세', '요', ',', '▁', '오', '<0xEB>', '<0x8A>', '<0x98>', '은', '▁', '날', '<0xEC>', '<0x94>', '<0xA8>', '가', '▁', '좋', '네', '요', '.'] |
Solar-Ko-Recovery | ['▁안녕하세요', ',', '▁오늘은', '▁날씨가', '▁좋', '네요', '.'] |
Tokenizing "Meet 10.7B Solar: Elevating Performance with Upstage Depth UP Scaling!"
- SOLAR-10.7B: 22 tokens
- Solar-Ko-Recovery: 22 tokens
Model | Tokens |
---|---|
SOLAR-10.7B | ['▁Meet', '▁', '1', '0', '.', '7', 'B', '▁Solar', ':', '▁E', 'lev', 'ating', '▁Performance', '▁with', '▁Up', 'stage', '▁Dep', 'th', '▁UP', '▁Scal', 'ing', '!'] |
Solar-Ko-Recovery | ['▁Meet', '▁', '1', '0', '.', '7', 'B', '▁Solar', ':', '▁E', 'lev', 'ating', '▁Performance', '▁with', '▁Up', 'stage', '▁Dep', 'th', '▁UP', '▁Scal', 'ing', '!'] |
LICENSE
Apache 2.0
Model Benchmark
LM Eval Harness - Korean
- Used EleutherAI's lm-evaluation-harness
- 5-shot scores
TBD
Citation
TBD
Acknowledgements
- Training support was provided by the TPU Research Cloud program.