初始化项目，由ModelHub XC社区提供模型
Model: Suru/Bhagvad-Gita-LLM Source: Original Platform
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README.md
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# Bhagavad Gita Chat with LLaMA 2 7b
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## Description
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This project leverages the powerful LLaMA 2 7b language model to create an interactive chat experience based on the Bhagavad Gita. It aims to provide insightful conversations and interpretations of this ancient scripture, making it more accessible and engaging for users worldwide.
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## Prompt
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Start the converstaion by saying, "Hello Krishna, " followed by your question.
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## Try on your free colab using 4 bit- quantization!
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-> We will make the model load in smaller bit precision which allow us to use free colab gpu. Make sure that GPU is enabled under runtime settings.
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First install libraries
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```python
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!pip install transformers accelerate bitsandbytes
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```
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Than use the following code:
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```python
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from transformers import AutoModelForCausalLM, AutoTokenizer
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model_name = "Suru/Bhagvad-Gita-LLM" # model from hugging face
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model = AutoModelForCausalLM.from_pretrained(model_name, device_map="auto", load_in_4bit=True)
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tokenizer = AutoTokenizer.from_pretrained(model_name, use_fast=True)
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prompt = "Hello Krishna, how can I live fearless life?"
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prompt_format = f"<s>[INST] {prompt} [/INST]"
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model_inputs = tokenizer(prompt_format, return_tensors="pt").to("cuda:0")
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output = model.generate(**model_inputs, max_new_tokens = 1000)
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print(tokenizer.decode(output[0], skip_special_tokens=True))
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```
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You can change what you want to ask in the prompt.
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[Check out the article here: ](https://medium.com/@suru10/duunveiling-the-wisdom-of-the-bhagavad-gita-through-ai-a-step-by-step-guide-to-using-the-llm-model-c249c89175fa)
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## Features
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- **Interactive Chat Interface**: Engage in conversations about the Bhagavad Gita’s teachings, characters, and philosophical concepts.
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- **AI-Powered Insights**: Utilize the LLaMA 2 7b model for deep and meaningful interpretations of the text.
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- **Custom Queries**: Ask specific questions about verses, chapters, or themes in the Bhagavad Gita.
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## Dataset source
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- **Repo**: Suru/gita_alpaca_format
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---
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license: apache-2.0
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---
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config.json
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{
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"_name_or_path": "NousResearch/Llama-2-7b-chat-hf",
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"architectures": [
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"LlamaForCausalLM"
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],
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"model_type": "llama",
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"model.layers.8.mlp.gate_proj.weight": "pytorch_model-00001-of-00002.bin",
|
||||
"model.layers.8.mlp.up_proj.weight": "pytorch_model-00001-of-00002.bin",
|
||||
"model.layers.8.post_attention_layernorm.weight": "pytorch_model-00001-of-00002.bin",
|
||||
"model.layers.8.self_attn.k_proj.weight": "pytorch_model-00001-of-00002.bin",
|
||||
"model.layers.8.self_attn.o_proj.weight": "pytorch_model-00001-of-00002.bin",
|
||||
"model.layers.8.self_attn.q_proj.weight": "pytorch_model-00001-of-00002.bin",
|
||||
"model.layers.8.self_attn.rotary_emb.inv_freq": "pytorch_model-00001-of-00002.bin",
|
||||
"model.layers.8.self_attn.v_proj.weight": "pytorch_model-00001-of-00002.bin",
|
||||
"model.layers.9.input_layernorm.weight": "pytorch_model-00001-of-00002.bin",
|
||||
"model.layers.9.mlp.down_proj.weight": "pytorch_model-00001-of-00002.bin",
|
||||
"model.layers.9.mlp.gate_proj.weight": "pytorch_model-00001-of-00002.bin",
|
||||
"model.layers.9.mlp.up_proj.weight": "pytorch_model-00001-of-00002.bin",
|
||||
"model.layers.9.post_attention_layernorm.weight": "pytorch_model-00001-of-00002.bin",
|
||||
"model.layers.9.self_attn.k_proj.weight": "pytorch_model-00001-of-00002.bin",
|
||||
"model.layers.9.self_attn.o_proj.weight": "pytorch_model-00001-of-00002.bin",
|
||||
"model.layers.9.self_attn.q_proj.weight": "pytorch_model-00001-of-00002.bin",
|
||||
"model.layers.9.self_attn.rotary_emb.inv_freq": "pytorch_model-00001-of-00002.bin",
|
||||
"model.layers.9.self_attn.v_proj.weight": "pytorch_model-00001-of-00002.bin",
|
||||
"model.norm.weight": "pytorch_model-00002-of-00002.bin"
|
||||
}
|
||||
}
|
||||
24
special_tokens_map.json
Normal file
24
special_tokens_map.json
Normal file
@@ -0,0 +1,24 @@
|
||||
{
|
||||
"bos_token": {
|
||||
"content": "<s>",
|
||||
"lstrip": false,
|
||||
"normalized": true,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
},
|
||||
"eos_token": {
|
||||
"content": "</s>",
|
||||
"lstrip": false,
|
||||
"normalized": true,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
},
|
||||
"pad_token": "</s>",
|
||||
"unk_token": {
|
||||
"content": "<unk>",
|
||||
"lstrip": false,
|
||||
"normalized": true,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
}
|
||||
}
|
||||
93400
tokenizer.json
Normal file
93400
tokenizer.json
Normal file
File diff suppressed because it is too large
Load Diff
32
tokenizer_config.json
Normal file
32
tokenizer_config.json
Normal file
@@ -0,0 +1,32 @@
|
||||
{
|
||||
"bos_token": {
|
||||
"__type": "AddedToken",
|
||||
"content": "<s>",
|
||||
"lstrip": false,
|
||||
"normalized": true,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
},
|
||||
"clean_up_tokenization_spaces": false,
|
||||
"eos_token": {
|
||||
"__type": "AddedToken",
|
||||
"content": "</s>",
|
||||
"lstrip": false,
|
||||
"normalized": true,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
},
|
||||
"legacy": false,
|
||||
"model_max_length": 1000000000000000019884624838656,
|
||||
"pad_token": null,
|
||||
"sp_model_kwargs": {},
|
||||
"tokenizer_class": "LlamaTokenizer",
|
||||
"unk_token": {
|
||||
"__type": "AddedToken",
|
||||
"content": "<unk>",
|
||||
"lstrip": false,
|
||||
"normalized": true,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
}
|
||||
}
|
||||
Reference in New Issue
Block a user