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Model: bhavinjawade/SOLAR-10B-Nector-DPO-Jawade Source: Original Platform
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DALL·E[[:space:]]2024-01-14[[:space:]]15.19.07[[:space:]]-[[:space:]]In[[:space:]]a[[:space:]]blue[[:space:]]cyberpunk[[:space:]]style[[:space:]]scene,[[:space:]]place[[:space:]]a[[:space:]]sleek[[:space:]]solar[[:space:]]panel[[:space:]]in[[:space:]]the[[:space:]]center.[[:space:]]On[[:space:]]the[[:space:]]left,[[:space:]]depict[[:space:]]a[[:space:]]majestic[[:space:]]orca,[[:space:]]blending[[:space:]]with[[:space:]]the[[:space:]]futuristic[[:space:]]theme,[[:space:]]pos.png filter=lfs diff=lfs merge=lfs -text
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SOLAR_ORCA.png filter=lfs diff=lfs merge=lfs -text
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README.md
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README.md
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---
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license: mit
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datasets:
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- Intel/orca_dpo_pairs
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---
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## SOLAR-10B-Nectar-Orca-DPO-LoRA-Jawade
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### Overview
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This model is DPO optimized and aligned version of `upstage/SOLAR-10.7B-Instruct-v1.0` model. Trained on a mixture of Berkeley-nest Nectar dataset and Intel DPO Orca dataset using LoRA.
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## How to Use This Model
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To use the model `bhavinjawade/SOLAR-10B-OrcaDPO-Jawade`, follow these steps:
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1. **Import and Load the Model and Tokenizer**
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Begin by importing the model and tokenizer. Load them using the `from_pretrained` method.
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```python
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from transformers import AutoModelForCausalLM, AutoTokenizer
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model = AutoModelForCausalLM.from_pretrained("bhavinjawade/SOLAR-10B-OrcaDPO-Jawade")
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tokenizer = AutoTokenizer.from_pretrained("bhavinjawade/SOLAR-10B-OrcaDPO-Jawade")
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```
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2. **Format the Prompt**
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Format the chat input as a list of messages, each with a role ('system' or 'user') and content.
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```python
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message = [
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{"role": "system", "content": "You are a helpful assistant chatbot."},
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{"role": "user", "content": "Is the universe real? or is it a simulation? whats your opinion?"}
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]
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prompt = tokenizer.apply_chat_template(message, add_generation_prompt=True, tokenize=False)
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```
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3. **Create a Pipeline**
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Set up a pipeline for text generation with the loaded model and tokenizer.
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```python
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pipeline = transformers.pipeline(
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"text-generation",
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model=model,
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tokenizer=tokenizer
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)
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```
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4. **Generate Text**
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Use the pipeline to generate a sequence of text based on the prompt. You can adjust parameters like temperature and top_p for different styles of responses.
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```python
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sequences = pipeline(
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prompt,
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do_sample=True,
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temperature=0.7,
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top_p=0.9,
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num_return_sequences=1,
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max_length=200,
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)
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print(sequences[0]['generated_text'])
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```
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This setup allows you to utilize the capabilities of the **bhavinjawade/SOLAR-10B-OrcaDPO-Jawade** model for generating responses to chat inputs.
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### License
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- **Type**: MIT License
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- **Details**: This license permits reuse, modification, and distribution for both private and commercial purposes under the terms of the MIT License.
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### Model Details
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- **Model Name**: SOLAR-10.7B-Instruct-v1.0
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- **Organization**: Upstage
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- **Training Dataset**: Intel/orca_dpo_pairs
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- **Technique Used**: LoRA (Low-Rank Adaptation)
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### Contact Information
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- https://bhavinjawade.github.io
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||||
30
special_tokens_map.json
Normal file
30
special_tokens_map.json
Normal file
@@ -0,0 +1,30 @@
|
||||
{
|
||||
"bos_token": {
|
||||
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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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|
||||
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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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|
||||
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|
||||
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|
||||
}
|
||||
}
|
||||
91122
tokenizer.json
Normal file
91122
tokenizer.json
Normal file
File diff suppressed because it is too large
Load Diff
43
tokenizer_config.json
Normal file
43
tokenizer_config.json
Normal file
@@ -0,0 +1,43 @@
|
||||
{
|
||||
"add_bos_token": 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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|
||||
"special": 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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|
||||
},
|
||||
"2": {
|
||||
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||||
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|
||||
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|
||||
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|
||||
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|
||||
"special": true
|
||||
}
|
||||
},
|
||||
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|
||||
"bos_token": "<s>",
|
||||
"chat_template": "{% for message in messages %}{% if message['role'] == 'system' %}{% if message['content']%}{{'### System:\n' + message['content']+'\n\n'}}{% endif %}{% elif message['role'] == 'user' %}{{'### User:\n' + message['content']+'\n\n'}}{% elif message['role'] == 'assistant' %}{{'### Assistant:\n' + message['content']}}{% endif %}{% if loop.last and add_generation_prompt %}{{ '### Assistant:\n' }}{% endif %}{% endfor %}",
|
||||
"clean_up_tokenization_spaces": false,
|
||||
"eos_token": "</s>",
|
||||
"legacy": true,
|
||||
"model_max_length": 1000000000000000019884624838656,
|
||||
"pad_token": "</s>",
|
||||
"sp_model_kwargs": {},
|
||||
"spaces_between_special_tokens": false,
|
||||
"tokenizer_class": "LlamaTokenizer",
|
||||
"unk_token": "<unk>",
|
||||
"use_default_system_prompt": true
|
||||
}
|
||||
Reference in New Issue
Block a user