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Model: atsuki-yamaguchi/Llama-3.1-8B-Instruct-gu-madlad-mean-tuned Source: Original Platform
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README.md
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README.md
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---
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license: llama3.1
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datasets:
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- allenai/MADLAD-400
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language:
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- gu
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base_model:
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- meta-llama/Llama-3.1-8B-Instruct
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library_name: transformers
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---
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# Llama 3.1 8B Instruct for Gujarati: Vocabulary expansion
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This model is built on top of Llama 3.1 8B Instruct adapted for Gujarati using 500M target language tokens sampled from MADLAD-400. It has an additional target vocabulary of 10K.
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## Model Details
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* **Vocabulary**: This model has an additional target vocabulary of 10K.
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* **Target vocabulary initialization**: The target weights of the embedding and LM head were initialized using mean initialization.
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* **Training**: This model was continually pre-trained on 500M target language tokens sampled from MADLAD-400.
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## Model Description
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- **Language:** Gujarati
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- **License:** Llama 3.1 Community License Agreement
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- **Fine-tuned from model:** meta-llama/Llama-3.1-8B-Instruct
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## Model Sources
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- **Repository:** https://github.com/gucci-j/chat-cve
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- **Paper:** https://arxiv.org/abs/2412.11704
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## How to Get Started with the Model
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Use the code below to get started with the model.
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```python
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from transformers import AutoTokenizer, AutoModelForCausalLM
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model = AutoModelForCausalLM.from_pretrained(
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"atsuki-yamaguchi/Llama-3.1-8B-Instruct-gu-madlad-mean-tuned"
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)
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tokenizer = AutoTokenizer.from_pretrained(
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"atsuki-yamaguchi/Llama-3.1-8B-Instruct-gu-madlad-mean-tuned"
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)
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```
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## Citation
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```
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@article{yamaguchi2025adapting,
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title={Adapting Chat Language Models Using Only Target Unlabeled Language Data},
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author={Atsuki Yamaguchi and Terufumi Morishita and Aline Villavicencio and Nikolaos Aletras},
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journal={Transactions on Machine Learning Research},
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issn={2835-8856},
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year={2025},
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url={https://openreview.net/forum?id=6IdoIKowfe},
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note={}
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}
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```
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config.json
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"_name_or_path": "/mnt/parscratch/users/acp23ay/private/models/Llama-3.1-8B-Instruct-gu-madlad-mean/",
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"architectures": [
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"LlamaForCausalLM"
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],
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"attention_bias": false,
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"attention_dropout": 0.0,
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"bos_token_id": 128000,
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128001,
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"hidden_act": "silu",
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"hidden_size": 4096,
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"initializer_range": 0.02,
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"intermediate_size": 14336,
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"max_position_embeddings": 131072,
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"mlp_bias": false,
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"model_type": "llama",
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"num_attention_heads": 32,
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"num_hidden_layers": 32,
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"num_key_value_heads": 8,
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"pretraining_tp": 1,
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"rms_norm_eps": 1e-05,
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"rope_scaling": {
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"factor": 8.0,
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"rope_type": "llama3"
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"rope_theta": 500000.0,
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"tie_word_embeddings": false,
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"torch_dtype": "float32",
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"use_cache": true,
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"vocab_size": 138256
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}
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"model.layers.9.self_attn.v_proj.weight": "model-00003-of-00007.safetensors",
|
||||
"model.norm.weight": "model-00007-of-00007.safetensors"
|
||||
}
|
||||
}
|
||||
23
special_tokens_map.json
Normal file
23
special_tokens_map.json
Normal file
@@ -0,0 +1,23 @@
|
||||
{
|
||||
"bos_token": {
|
||||
"content": "<|begin_of_text|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
},
|
||||
"eos_token": {
|
||||
"content": "<|end_of_text|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
},
|
||||
"pad_token": {
|
||||
"content": "<|end_of_text|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
}
|
||||
}
|
||||
431253
tokenizer.json
Normal file
431253
tokenizer.json
Normal file
File diff suppressed because it is too large
Load Diff
2063
tokenizer_config.json
Normal file
2063
tokenizer_config.json
Normal file
File diff suppressed because it is too large
Load Diff
Reference in New Issue
Block a user