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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+---
+language:
+- en
+- mr
+- hi
+- gu
+- pa
+- te
+- ta
+- ml
+- kn
+- sd
+- ne
+- ur
+- as
+- bn
+- or
+license: apache-2.0
+tags:
+- text-generation-inference
+- transformers
+- unsloth
+- gemma
+- trl
+base_model: google/gemma-2b
+pipeline_tag: text-generation
+---
+
+<img src="https://github.com/Pmking27/AutoTalker/assets/97112558/96853321-e460-4464-a062-9bd1633964d8" width="600" height="600">
+
+# Uploaded  model
+
+- **Developed by:** pmking27
+- **License:** apache-2.0
+- **Finetuned from model :** google/gemma-2b
+
+This gemma model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
+
+### Running Model:
+
+```python
+# Importing necessary modules
+from transformers import AutoModelForCausalLM, AutoTokenizer
+
+# Setting the device to load the model onto (assuming GPU availability)
+device = 'cuda'
+
+# Loading the tokenizer for the model
+tokenizer = AutoTokenizer.from_pretrained("pmking27/PrathameshLLM-2B")
+
+# Loading the pre-trained model
+model = AutoModelForCausalLM.from_pretrained("pmking27/PrathameshLLM-2B")
+
+# Defining the Alpaca prompt template
+alpaca_prompt = """
+### Instruction:
+{}
+
+### Input:
+{}
+
+### Response:
+{}"""
+
+# Providing the input to the model
+model_inputs = tokenizer(
+[
+    alpaca_prompt.format(
+        '''
+        You're an assistant trained to answer questions using the given context.
+        
+        context:
+
+        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.
+
+        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.
+        ''', # instruction
+        "भारतातील सार्वत्रिक निवडणुका किती टप्प्यात पार पडतील?", # input
+        "", # output - leave this blank for generation!
+    )
+], return_tensors = "pt")
+
+# Moving model inputs to the specified device
+model_inputs.to(device)
+model.to(device)
+
+# Generating responses from the model
+outputs = model.generate(**model_inputs, max_new_tokens=100)
+decoded_output = tokenizer.batch_decode(outputs, skip_special_tokens=True)[0]
+
+# Finding the start and end positions of the response
+start_marker = "### Response:"
+end_marker = "<eos>"
+start_pos = decoded_output.find(start_marker) + len(start_marker)
+end_pos = decoded_output.find(end_marker, start_pos)
+
+# Extracting the response text
+response_text = decoded_output[start_pos:end_pos].strip()
+
+print(response_text)
+
+```
+
+### Output:
+
+```markdown
+भारतातील सार्वत्रिक निवडणुका 7 टप्प्यांमध्ये पार पडतील.
+```
+
+
+
+[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth)

config.json

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+{
+  "_name_or_path": "google/gemma-2b",
+  "architectures": [
+    "GemmaForCausalLM"
+  ],
+  "attention_bias": false,
+  "attention_dropout": 0.0,
+  "bos_token_id": 2,
+  "eos_token_id": 1,
+  "head_dim": 256,
+  "hidden_act": "gelu",
+  "hidden_size": 2048,
+  "initializer_range": 0.02,
+  "intermediate_size": 16384,
+  "max_position_embeddings": 8192,
+  "model_type": "gemma",
+  "num_attention_heads": 8,
+  "num_hidden_layers": 18,
+  "num_key_value_heads": 1,
+  "pad_token_id": 0,
+  "rms_norm_eps": 1e-06,
+  "rope_scaling": null,
+  "rope_theta": 10000.0,
+  "torch_dtype": "float32",
+  "transformers_version": "4.38.2",
+  "use_cache": true,
+  "vocab_size": 256000
+}

generation_config.json

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+  "_from_model_config": true,
+  "bos_token_id": 2,
+  "eos_token_id": 1,
+  "pad_token_id": 0,
+  "transformers_version": "4.38.2"
+}

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special_tokens_map.json

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tokenizer_config.json

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