Update README.md
Browse files
README.md
CHANGED
@@ -8,13 +8,11 @@ pipeline_tag: text-generation
|
|
8 |
|
9 |
Use in the same way as IlyaGusev/saiga2_7b_lora.
|
10 |
|
11 |
-
WARNING! Load tokenizer as AutoTokenizer.from_pretrained(model_path, use_fast=True)
|
12 |
-
|
13 |
Up to 60% faster generation and 35% training (on identical russian text sequences!) with HF because of different tokenizer.
|
14 |
|
15 |
-
|
|
|
16 |
|
17 |
-
|
18 |
|
19 |
-
|
20 |
-
The quality is slightly worse than the IlyaGusev/saiga_mistral_7b_lora, but faster because of tokenizer.
|
|
|
8 |
|
9 |
Use in the same way as IlyaGusev/saiga2_7b_lora.
|
10 |
|
|
|
|
|
11 |
Up to 60% faster generation and 35% training (on identical russian text sequences!) with HF because of different tokenizer.
|
12 |
|
13 |
+
rccmsu/ruadapt_mistral_7b_v0.1 trained on saiga corpuses.
|
14 |
+
The quality is slightly worse than the IlyaGusev/saiga_mistral_7b_lora, but faster because of tokenizer.
|
15 |
|
16 |
+
WARNING! Load tokenizer as AutoTokenizer.from_pretrained(model_path, use_fast=True)
|
17 |
|
18 |
+
Paper: Tikhomirov M., Chernyshev D. Impact of Tokenization on LLaMa Russian Adaptation //arXiv preprint arXiv:2312.02598. – 2023.
|
|