初始化项目，由ModelHub XC社区提供模型
Model: pmking27/PrathameshLLM-2B Source: Original Platform
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README.md
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README.md
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---
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language:
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- en
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- mr
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- hi
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- gu
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- pa
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- te
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- ta
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- ml
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- kn
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- sd
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- ne
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- ur
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- as
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- bn
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- or
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license: apache-2.0
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tags:
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- text-generation-inference
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- transformers
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- unsloth
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- gemma
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- trl
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base_model: google/gemma-2b
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pipeline_tag: text-generation
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---
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<img src="https://github.com/Pmking27/AutoTalker/assets/97112558/96853321-e460-4464-a062-9bd1633964d8" width="600" height="600">
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# Uploaded model
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- **Developed by:** pmking27
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- **License:** apache-2.0
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- **Finetuned from model :** google/gemma-2b
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This gemma model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
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### Running Model:
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```python
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# Importing necessary modules
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from transformers import AutoModelForCausalLM, AutoTokenizer
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# Setting the device to load the model onto (assuming GPU availability)
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device = 'cuda'
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# Loading the tokenizer for the model
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tokenizer = AutoTokenizer.from_pretrained("pmking27/PrathameshLLM-2B")
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# Loading the pre-trained model
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model = AutoModelForCausalLM.from_pretrained("pmking27/PrathameshLLM-2B")
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# Defining the Alpaca prompt template
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alpaca_prompt = """
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### Instruction:
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{}
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### Input:
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{}
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### Response:
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{}"""
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# Providing the input to the model
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model_inputs = tokenizer(
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[
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alpaca_prompt.format(
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'''
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You're an assistant trained to answer questions using the given context.
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context:
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General elections will be held in India from 19 April 2024 to 1 June 2024 to elect the 543 members of the 18th Lok Sabha. The elections will be held in seven phases and the results will be announced on 4 June 2024. This will be the largest-ever election in the world, surpassing the 2019 Indian general election, and will be the longest-held general elections in India with a total span of 44 days (excluding the first 1951–52 Indian general election). The incumbent prime minister Narendra Modi who completed a second term will be contesting elections for a third consecutive term.
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Approximately 960 million individuals out of a population of 1.4 billion are eligible to participate in the elections, which are expected to span a month for completion. The Legislative assembly elections in the states of Andhra Pradesh, Arunachal Pradesh, Odisha, and Sikkim will be held simultaneously with the general election, along with the by-elections for 35 seats among 16 states.
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''', # instruction
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"भारतातील सार्वत्रिक निवडणुका किती टप्प्यात पार पडतील?", # input
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"", # output - leave this blank for generation!
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)
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], return_tensors = "pt")
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# Moving model inputs to the specified device
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model_inputs.to(device)
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model.to(device)
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# Generating responses from the model
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outputs = model.generate(**model_inputs, max_new_tokens=100)
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decoded_output = tokenizer.batch_decode(outputs, skip_special_tokens=True)[0]
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# Finding the start and end positions of the response
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start_marker = "### Response:"
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end_marker = "<eos>"
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start_pos = decoded_output.find(start_marker) + len(start_marker)
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end_pos = decoded_output.find(end_marker, start_pos)
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# Extracting the response text
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response_text = decoded_output[start_pos:end_pos].strip()
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print(response_text)
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```
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### Output:
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```markdown
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भारतातील सार्वत्रिक निवडणुका 7 टप्प्यांमध्ये पार पडतील.
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```
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[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth)
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config.json
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"_name_or_path": "google/gemma-2b",
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"architectures": [
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"GemmaForCausalLM"
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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": 2,
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"head_dim": 256,
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"hidden_act": "gelu",
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"hidden_size": 2048,
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"initializer_range": 0.02,
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"intermediate_size": 16384,
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"max_position_embeddings": 8192,
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"model_type": "gemma",
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"num_attention_heads": 8,
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"num_hidden_layers": 18,
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"rms_norm_eps": 1e-06,
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"rope_theta": 10000.0,
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"torch_dtype": "float32",
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"transformers_version": "4.38.2",
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"use_cache": true,
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"vocab_size": 256000
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}
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30
special_tokens_map.json
Normal file
30
special_tokens_map.json
Normal file
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||||
{
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3
tokenizer.json
Normal file
3
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version https://git-lfs.github.com/spec/v1
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3
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3
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version https://git-lfs.github.com/spec/v1
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50
tokenizer_config.json
Normal file
50
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Normal file
@@ -0,0 +1,50 @@
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|
||||
}
|
||||
Reference in New Issue
Block a user