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LICENSE
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Attribution-NonCommercial-ShareAlike 4.0 International
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=======================================================================
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Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International
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By exercising the Licensed Rights (defined below), You accept and agree
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l. Share means to provide material to the public by any means or
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m. Sui Generis Database Rights means rights other than copyright
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1. Subject to the terms and conditions of this Public License,
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the Licensor hereby grants You a worldwide, royalty-free,
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non-sublicensable, non-exclusive, irrevocable license to
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exercise the Licensed Rights in the Licensed Material to:
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a. reproduce and Share the Licensed Material, in whole or
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b. produce, reproduce, and Share Adapted Material for
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2. Exceptions and Limitations. For the avoidance of doubt, where
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Exceptions and Limitations apply to Your use, this Public
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Every recipient of Adapted Material from You
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|
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exercise the Licensed Rights in the Adapted Material
|
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c. No downstream restrictions. You may not offer or impose
|
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|
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apply any Effective Technological Measures to, the
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Licensed Material if doing so restricts exercise of the
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|
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Material.
|
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6. No endorsement. Nothing in this Public License constitutes or
|
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|
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|
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with, or sponsored, endorsed, or granted official status by,
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|
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|
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|
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1. Moral rights, such as the right of integrity, are not
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|
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|
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|
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|
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|
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|
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|
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|
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Section 3 -- License Conditions.
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Your exercise of the Licensed Rights is expressly made subject to the
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|
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1. If You Share the Licensed Material (including in modified
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|
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a. retain the following if it is supplied by the Licensor
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|
||||
i. identification of the creator(s) of the Licensed
|
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|
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attribution, in any reasonable manner requested by
|
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the Licensor (including by pseudonym if
|
||||
designated);
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|
||||
ii. a copyright notice;
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|
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iii. a notice that refers to this Public License;
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|
||||
iv. a notice that refers to the disclaimer of
|
||||
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|
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|
||||
v. a URI or hyperlink to the Licensed Material to the
|
||||
extent reasonably practicable;
|
||||
|
||||
b. indicate if You modified the Licensed Material and
|
||||
retain an indication of any previous modifications; and
|
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|
||||
c. indicate the Licensed Material is licensed under this
|
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|
||||
hyperlink to, this Public License.
|
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|
||||
2. You may satisfy the conditions in Section 3(a)(1) in any
|
||||
reasonable manner based on the medium, means, and context in
|
||||
which You Share the Licensed Material. For example, it may be
|
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reasonable to satisfy the conditions by providing a URI or
|
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hyperlink to a resource that includes the required
|
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information.
|
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3. If requested by the Licensor, You must remove any of the
|
||||
information required by Section 3(a)(1)(A) to the extent
|
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reasonably practicable.
|
||||
|
||||
b. ShareAlike.
|
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|
||||
In addition to the conditions in Section 3(a), if You Share
|
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Adapted Material You produce, the following conditions also apply.
|
||||
|
||||
1. The Adapter's License You apply must be a Creative Commons
|
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license with the same License Elements, this version or
|
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later, or a BY-NC-SA Compatible License.
|
||||
|
||||
2. You must include the text of, or the URI or hyperlink to, the
|
||||
Adapter's License You apply. You may satisfy this condition
|
||||
in any reasonable manner based on the medium, means, and
|
||||
context in which You Share Adapted Material.
|
||||
|
||||
3. You may not offer or impose any additional or different terms
|
||||
or conditions on, or apply any Effective Technological
|
||||
Measures to, Adapted Material that restrict exercise of the
|
||||
rights granted under the Adapter's License You apply.
|
||||
|
||||
|
||||
Section 4 -- Sui Generis Database Rights.
|
||||
|
||||
Where the Licensed Rights include Sui Generis Database Rights that
|
||||
apply to Your use of the Licensed Material:
|
||||
|
||||
a. for the avoidance of doubt, Section 2(a)(1) grants You the right
|
||||
to extract, reuse, reproduce, and Share all or a substantial
|
||||
portion of the contents of the database for NonCommercial purposes
|
||||
only;
|
||||
|
||||
b. if You include all or a substantial portion of the database
|
||||
contents in a database in which You have Sui Generis Database
|
||||
Rights, then the database in which You have Sui Generis Database
|
||||
Rights (but not its individual contents) is Adapted Material,
|
||||
including for purposes of Section 3(b); and
|
||||
|
||||
c. You must comply with the conditions in Section 3(a) if You Share
|
||||
all or a substantial portion of the contents of the database.
|
||||
|
||||
For the avoidance of doubt, this Section 4 supplements and does not
|
||||
replace Your obligations under this Public License where the Licensed
|
||||
Rights include other Copyright and Similar Rights.
|
||||
|
||||
|
||||
Section 5 -- Disclaimer of Warranties and Limitation of Liability.
|
||||
|
||||
a. UNLESS OTHERWISE SEPARATELY UNDERTAKEN BY THE LICENSOR, TO THE
|
||||
EXTENT POSSIBLE, THE LICENSOR OFFERS THE LICENSED MATERIAL AS-IS
|
||||
AND AS-AVAILABLE, AND MAKES NO REPRESENTATIONS OR WARRANTIES OF
|
||||
ANY KIND CONCERNING THE LICENSED MATERIAL, WHETHER EXPRESS,
|
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IMPLIED, STATUTORY, OR OTHER. THIS INCLUDES, WITHOUT LIMITATION,
|
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WARRANTIES OF TITLE, MERCHANTABILITY, FITNESS FOR A PARTICULAR
|
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PURPOSE, NON-INFRINGEMENT, ABSENCE OF LATENT OR OTHER DEFECTS,
|
||||
ACCURACY, OR THE PRESENCE OR ABSENCE OF ERRORS, WHETHER OR NOT
|
||||
KNOWN OR DISCOVERABLE. WHERE DISCLAIMERS OF WARRANTIES ARE NOT
|
||||
ALLOWED IN FULL OR IN PART, THIS DISCLAIMER MAY NOT APPLY TO YOU.
|
||||
|
||||
b. TO THE EXTENT POSSIBLE, IN NO EVENT WILL THE LICENSOR BE LIABLE
|
||||
TO YOU ON ANY LEGAL THEORY (INCLUDING, WITHOUT LIMITATION,
|
||||
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|
||||
INCIDENTAL, CONSEQUENTIAL, PUNITIVE, EXEMPLARY, OR OTHER LOSSES,
|
||||
COSTS, EXPENSES, OR DAMAGES ARISING OUT OF THIS PUBLIC LICENSE OR
|
||||
USE OF THE LICENSED MATERIAL, EVEN IF THE LICENSOR HAS BEEN
|
||||
ADVISED OF THE POSSIBILITY OF SUCH LOSSES, COSTS, EXPENSES, OR
|
||||
DAMAGES. WHERE A LIMITATION OF LIABILITY IS NOT ALLOWED IN FULL OR
|
||||
IN PART, THIS LIMITATION MAY NOT APPLY TO YOU.
|
||||
|
||||
c. The disclaimer of warranties and limitation of liability provided
|
||||
above shall be interpreted in a manner that, to the extent
|
||||
possible, most closely approximates an absolute disclaimer and
|
||||
waiver of all liability.
|
||||
|
||||
|
||||
Section 6 -- Term and Termination.
|
||||
|
||||
a. This Public License applies for the term of the Copyright and
|
||||
Similar Rights licensed here. However, if You fail to comply with
|
||||
this Public License, then Your rights under this Public License
|
||||
terminate automatically.
|
||||
|
||||
b. Where Your right to use the Licensed Material has terminated under
|
||||
Section 6(a), it reinstates:
|
||||
|
||||
1. automatically as of the date the violation is cured, provided
|
||||
it is cured within 30 days of Your discovery of the
|
||||
violation; or
|
||||
|
||||
2. upon express reinstatement by the Licensor.
|
||||
|
||||
For the avoidance of doubt, this Section 6(b) does not affect any
|
||||
right the Licensor may have to seek remedies for Your violations
|
||||
of this Public License.
|
||||
|
||||
c. For the avoidance of doubt, the Licensor may also offer the
|
||||
Licensed Material under separate terms or conditions or stop
|
||||
distributing the Licensed Material at any time; however, doing so
|
||||
will not terminate this Public License.
|
||||
|
||||
d. Sections 1, 5, 6, 7, and 8 survive termination of this Public
|
||||
License.
|
||||
|
||||
|
||||
Section 7 -- Other Terms and Conditions.
|
||||
|
||||
a. The Licensor shall not be bound by any additional or different
|
||||
terms or conditions communicated by You unless expressly agreed.
|
||||
|
||||
b. Any arrangements, understandings, or agreements regarding the
|
||||
Licensed Material not stated herein are separate from and
|
||||
independent of the terms and conditions of this Public License.
|
||||
|
||||
|
||||
Section 8 -- Interpretation.
|
||||
|
||||
a. For the avoidance of doubt, this Public License does not, and
|
||||
shall not be interpreted to, reduce, limit, restrict, or impose
|
||||
conditions on any use of the Licensed Material that could lawfully
|
||||
be made without permission under this Public License.
|
||||
|
||||
b. To the extent possible, if any provision of this Public License is
|
||||
deemed unenforceable, it shall be automatically reformed to the
|
||||
minimum extent necessary to make it enforceable. If the provision
|
||||
cannot be reformed, it shall be severed from this Public License
|
||||
without affecting the enforceability of the remaining terms and
|
||||
conditions.
|
||||
|
||||
c. No term or condition of this Public License will be waived and no
|
||||
failure to comply consented to unless expressly agreed to by the
|
||||
Licensor.
|
||||
|
||||
d. Nothing in this Public License constitutes or may be interpreted
|
||||
as a limitation upon, or waiver of, any privileges and immunities
|
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126
LLaMa2_LICENSE
Normal file
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LLaMa2_LICENSE
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@@ -0,0 +1,126 @@
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LLAMA 2 COMMUNITY LICENSE AGREEMENT
|
||||
Llama 2 Version Release Date: July 18, 2023
|
||||
|
||||
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|
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|
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|
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|
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|
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BIN
PersianMind.jpg
Normal file
BIN
PersianMind.jpg
Normal file
Binary file not shown.
|
After Width: | Height: | Size: 86 KiB |
151
README.md
Normal file
151
README.md
Normal file
@@ -0,0 +1,151 @@
|
||||
---
|
||||
license: cc-by-nc-sa-4.0
|
||||
language:
|
||||
- multilingual
|
||||
- fa
|
||||
- en
|
||||
library_name: transformers
|
||||
tags:
|
||||
- text-generation-inference
|
||||
inference: false
|
||||
metrics:
|
||||
- bleu
|
||||
- comet
|
||||
- accuracy
|
||||
- perplexity
|
||||
- spearmanr
|
||||
pipeline_tag: text-generation
|
||||
co2_eq_emissions:
|
||||
emissions: 232380
|
||||
source: "PersianMind: A Cross-Lingual Persian-English Large Language Model. https://arxiv.org/abs/2401.06466"
|
||||
training_type: "fine-tuning"
|
||||
hardware_used: "4 RTX3090 24GB GPUs"
|
||||
geographical_location: "Tehran, Iran"
|
||||
---
|
||||
|
||||
<p align="center">
|
||||
<img src="PersianMind.jpg" alt="PersianMind logo" width=200/>
|
||||
</p>
|
||||
|
||||
|
||||
# <span style="font-variant:small-caps;">PersianMind</span>
|
||||
|
||||
<span style="font-variant:small-caps;">PersianMind</span> is a cross-lingual Persian-English large language model.
|
||||
The model achieves state-of-the-art results on Persian subset of the [<span style="font-variant:small-caps;">Belebele</span>](https://github.com/facebookresearch/belebele) benchmark
|
||||
and the [ParsiNLU multiple-choice QA](https://github.com/persiannlp/parsinlu) task.
|
||||
It also attains performance comparable to GPT-3.5-turbo in a Persian reading comprehension task.
|
||||
|
||||
## Model Description
|
||||
|
||||
- **Developed by:** [Pedram Rostami](mailto:pedram.rostami@ut.ac.ir), [Ali Salemi](mailto:alisalemi@ut.ac.ir), and [Mohammad Javad Dousti](mailto:mjdousti@ut.ac.ir)
|
||||
- **Model type:** Language model
|
||||
- **Languages:** English and Persian
|
||||
- **License:** [CC BY-NC-SA 4.0](https://creativecommons.org/licenses/by-nc-sa/4.0/) (non-commercial use only.)
|
||||
|
||||
## How to Get Started with the Model
|
||||
|
||||
Use the code below to get started with the model.
|
||||
Note that you need to install <code><b>sentencepiece</b></code> and <code><b>accelerate</b></code> libraries along with <code><b>PyTorch</b></code> and <code><b>🤗Transformers</b></code> to run this code.
|
||||
|
||||
```python
|
||||
from transformers import AutoTokenizer, AutoModelForCausalLM
|
||||
import torch
|
||||
|
||||
device = "cuda" if torch.cuda.is_available() else "cpu"
|
||||
model = AutoModelForCausalLM.from_pretrained(
|
||||
"universitytehran/PersianMind-v1.0",
|
||||
torch_dtype=torch.bfloat16,
|
||||
low_cpu_mem_usage=True,
|
||||
device_map={"": device},
|
||||
)
|
||||
tokenizer = AutoTokenizer.from_pretrained(
|
||||
"universitytehran/PersianMind-v1.0",
|
||||
)
|
||||
|
||||
TEMPLATE = "{context}\nYou: {prompt}\nPersianMind: "
|
||||
CONTEXT = "This is a conversation with PersianMind. It is an artificial intelligence model designed by a team of " \
|
||||
"NLP experts at the University of Tehran to help you with various tasks such as answering questions, " \
|
||||
"providing recommendations, and helping with decision making. You can ask it anything you want and " \
|
||||
"it will do its best to give you accurate and relevant information."
|
||||
PROMPT = "در مورد هوش مصنوعی توضیح بده."
|
||||
|
||||
model_input = TEMPLATE.format(context=CONTEXT, prompt=PROMPT)
|
||||
input_tokens = tokenizer(model_input, return_tensors="pt")
|
||||
input_tokens = input_tokens.to(device)
|
||||
generate_ids = model.generate(**input_tokens, max_new_tokens=512, do_sample=False, repetition_penalty=1.1)
|
||||
model_output = tokenizer.batch_decode(generate_ids, skip_special_tokens=True, clean_up_tokenization_spaces=False)[0]
|
||||
|
||||
print(model_output[len(model_input):])
|
||||
```
|
||||
|
||||
### How to Quantize the Model
|
||||
|
||||
Quantized models can be run on resource-constrained devices.
|
||||
To quantize the model, you should install the <code><b>bitsandbytes</b></code> library.
|
||||
In order to quantize the model in 8-bit (`INT8`), use the code below.
|
||||
|
||||
```python
|
||||
model = AutoModelForCausalLM.from_pretrained(
|
||||
"universitytehran/PersianMind-v1.0",
|
||||
device_map="auto",
|
||||
low_cpu_mem_usage=True,
|
||||
load_in_8bit=True
|
||||
)
|
||||
```
|
||||
|
||||
Alternatively, you can quantize the model in 4-bit (`NormalFloat4`) with the following code.
|
||||
|
||||
```python
|
||||
from transformers import BitsAndBytesConfig
|
||||
|
||||
quantization_config = BitsAndBytesConfig(
|
||||
load_in_4bit=True,
|
||||
bnb_4bit_use_double_quant=True,
|
||||
bnb_4bit_quant_type="nf4",
|
||||
)
|
||||
model = AutoModelForCausalLM.from_pretrained(
|
||||
"universitytehran/PersianMind-v1.0",
|
||||
quantization_config=quantization_config,
|
||||
device_map="auto"
|
||||
)
|
||||
```
|
||||
|
||||
### Evaluating Quantized Models
|
||||
|
||||
| Model | <span style="font-variant:small-caps;">Belebele</span> (Persian) | Fa→En Translation<br>(<span style="font-variant:small-caps;">Comet</span>) | En→Fa Translation<br>(<span style="font-variant:small-caps;">Comet</span>) | Model Size | Tokens/sec |
|
||||
| :----------------------------------------------------------------: | :--------------------------------------------------------------: | :------------------------------------------------------------------------: | :------------------------------------------------------------------------: | :--------: | :--------: |
|
||||
| <span style="font-variant:small-caps;">PersianMind</span> (`BF16`) | 73.9 | 83.61 | 79.44 | 13.7G | 25.35 |
|
||||
| <span style="font-variant:small-caps;">PersianMind</span> (`INT8`) | 73.7 | 82.32 | 78.61 | 7.2G | 11.36 |
|
||||
| <span style="font-variant:small-caps;">PersianMind</span> (`NF4`) | 70.2 | 82.07 | 80.36 | 3.9G | 24.36 |
|
||||
|
||||
We evaluated quantized models in various tasks against the original model.
|
||||
Specifically, we evaluated all models using the reading comprehension multiple-choice
|
||||
question-answering benchmark of [<span style="font-variant:small-caps;">Belebele</span>](https://github.com/facebookresearch/belebele) (Persian subset) and reported the accuracy of each model.
|
||||
Additionally, we evaluated our models for Persian-to-English and English-to-Persian translation tasks.
|
||||
For this, we utilized the Persian-English subset of the [<span style="font-variant:small-caps;">Flores</span>-200](https://github.com/facebookresearch/flores/tree/main/flores200) dataset and
|
||||
reported our results using the <span style="font-variant:small-caps;">Comet</span> metric.
|
||||
Furthermore, we calculated the average number of generated tokens per second by each model during running the translation tasks.
|
||||
To understand resource efficiency, we measured the memory usage of each model by employing the `get_memory_footprint()` function.
|
||||
|
||||
## License
|
||||
<span style="font-variant:small-caps;">PersianMind</span> is subject to Meta's [LLaMa2 Community License](https://raw.githubusercontent.com/facebookresearch/llama/main/LICENSE).
|
||||
It is further licensed under [CC BY-NC-SA 4.0](https://creativecommons.org/licenses/by-nc-sa/4.0/), which allows non-commercial use of the model.
|
||||
Commercial use of this model requires written agreement which must be obtained from the copyright holders who are listed as developers in this page.
|
||||
If you suspect any violations, please reach out to us.
|
||||
|
||||
|
||||
## Citation
|
||||
|
||||
If you find this model helpful, please ensure to cite the following paper.
|
||||
|
||||
**BibTeX:**
|
||||
```bibtex
|
||||
@misc{persianmind,
|
||||
title={{PersianMind: A Cross-Lingual Persian-English Large Language Model}},
|
||||
author={Rostami, Pedram and Salemi, Ali and Dousti, Mohammad Javad},
|
||||
year={2024}
|
||||
eprint={2401.06466},
|
||||
archivePrefix={arXiv},
|
||||
primaryClass={cs.CL}
|
||||
}
|
||||
```
|
||||
3
added_tokens.json
Normal file
3
added_tokens.json
Normal file
@@ -0,0 +1,3 @@
|
||||
{
|
||||
"[PAD]": 41509
|
||||
}
|
||||
22
config.json
Normal file
22
config.json
Normal file
@@ -0,0 +1,22 @@
|
||||
{
|
||||
"architectures": [
|
||||
"LlamaForCausalLM"
|
||||
],
|
||||
"bos_token_id": 1,
|
||||
"eos_token_id": 2,
|
||||
"hidden_act": "silu",
|
||||
"hidden_size": 4096,
|
||||
"initializer_range": 0.02,
|
||||
"intermediate_size": 11008,
|
||||
"max_position_embeddings": 2048,
|
||||
"model_type": "llama",
|
||||
"num_attention_heads": 32,
|
||||
"num_hidden_layers": 32,
|
||||
"pad_token_id": 0,
|
||||
"rms_norm_eps": 1e-06,
|
||||
"tie_word_embeddings": false,
|
||||
"torch_dtype": "bfloat16",
|
||||
"transformers_version": "4.28.1",
|
||||
"use_cache": true,
|
||||
"vocab_size": 41510
|
||||
}
|
||||
10
generation_config.json
Normal file
10
generation_config.json
Normal file
@@ -0,0 +1,10 @@
|
||||
{
|
||||
"bos_token_id": 1,
|
||||
"do_sample": true,
|
||||
"eos_token_id": 2,
|
||||
"max_new_tokens": 512,
|
||||
"pad_token_id": 0,
|
||||
"repetition_penalty": 1.1,
|
||||
"temperature": 0.4,
|
||||
"transformers_version": "4.38.2"
|
||||
}
|
||||
3
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||||
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|
||||
}
|
||||
}
|
||||
30
special_tokens_map.json
Normal file
30
special_tokens_map.json
Normal file
@@ -0,0 +1,30 @@
|
||||
{
|
||||
"bos_token": {
|
||||
"content": "<s>",
|
||||
"lstrip": false,
|
||||
"normalized": true,
|
||||
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|
||||
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|
||||
},
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
},
|
||||
"pad_token": {
|
||||
"content": "[PAD]",
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
},
|
||||
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|
||||
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|
||||
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|
||||
"normalized": true,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
}
|
||||
}
|
||||
120802
tokenizer.json
Normal file
120802
tokenizer.json
Normal file
File diff suppressed because it is too large
Load Diff
3
tokenizer.model
Normal file
3
tokenizer.model
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:c432aa35f6a9296b8b1ff2cfae92d1818b45348a284d133a1046e46458e4dc3b
|
||||
size 688077
|
||||
50
tokenizer_config.json
Normal file
50
tokenizer_config.json
Normal file
@@ -0,0 +1,50 @@
|
||||
{
|
||||
"add_bos_token": true,
|
||||
"add_eos_token": false,
|
||||
"add_prefix_space": true,
|
||||
"added_tokens_decoder": {
|
||||
"0": {
|
||||
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|
||||
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|
||||
"normalized": true,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"1": {
|
||||
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|
||||
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|
||||
"normalized": true,
|
||||
"rstrip": false,
|
||||
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|
||||
"special": true
|
||||
},
|
||||
"2": {
|
||||
"content": "</s>",
|
||||
"lstrip": false,
|
||||
"normalized": true,
|
||||
"rstrip": false,
|
||||
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|
||||
"special": true
|
||||
},
|
||||
"41509": {
|
||||
"content": "[PAD]",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
}
|
||||
},
|
||||
"bos_token": "<s>",
|
||||
"clean_up_tokenization_spaces": false,
|
||||
"eos_token": "</s>",
|
||||
"legacy": true,
|
||||
"model_max_length": 1000000000000000019884624838656,
|
||||
"pad_token": "[PAD]",
|
||||
"sp_model_kwargs": {},
|
||||
"spaces_between_special_tokens": false,
|
||||
"tokenizer_class": "LlamaTokenizer",
|
||||
"unk_token": "<unk>",
|
||||
"use_default_system_prompt": false
|
||||
}
|
||||
Reference in New Issue
Block a user