beomi
/

Solar-Ko-Recovery-11B

@@ -1,199 +1,90 @@
 ---
 library_name: transformers
-tags: []
 ---
-# Recovery: SOLAR-10B
-- Recover SOLAR based on Solar-Mini tokenizer
-## Model Details
-### Model Description
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-This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
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 ---
+language:
+- ko
+- en
+pipeline_tag: text-generation
+inference: false
+tags:
+- solar
+- mistral
+- pytorch
+- solar-ko
 library_name: transformers
+license: apache-2.0
 ---
+**Update Log**
+- 2024.02.19: Initial Test version Release of SOLAR-KOEN-10.8B
+# **Solar-Ko-Recovery** ⭐🇰🇷🇺🇸
+Solar-Ko-Recovery 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 — 10.8B.
+**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<sup>-5</sup>|
+**Vocab Expansion**
+Vocab expansion is conducted on edited [upstage/solar-1-mini-tokenizer](https://huggingface.co/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-10.7b: 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-10.7b: 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](https://github.com/EleutherAI/lm-evaluation-harness)
+- 5-shot scores
+TBD
+## Citation
+TBD
+## Acknowledgements
+- Training support was provided by the [TPU Research Cloud](https://sites.research.google/trc/) program.