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README.md

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----
-license: mit
----
+# LexGPT-Beta
+
+## Description
+LexGPT-Beta is a sophisticated Large Language Model (LLM) that has been fine-tuned using Mistral-7B-Instruct-v0.2 as its base. It is specifically designed to excel in mathematical instruction and reasoning, showcasing a wide array of mathematical and logical capabilities. The model is still in its beta stage, with continuous development and testing ongoing.
+
+## Model Information
+- **Base Model**: Mistral-7B-Instruct-v0.2, a versatile LLM renowned for its proficiency in understanding and adhering to intricate instructions. This model surpasses its predecessor, Mistral-7B-Instruct-v0.1, and is widely recognized for its applicability across various AI domains.
+- **Fine-tuning Datasets**:
+  - [TIGER-Lab/MathInstruct](https://huggingface.co/datasets/TIGER-Lab/MathInstruct)
+  - [meta-math/MetaMathQA](https://huggingface.co/datasets/meta-math/MetaMathQA)
+  - [LDJnr/Capybara](https://huggingface.co/datasets/LDJnr/Capybara)
+- **Fine-tuning Time**: Approximately 90 hours.
+- **Parameters**: 7.24 billion.
+- **Uncensored**: The model does not include inherent moderation tools.
+
+## Application
+LexGPT-Beta can be employed for a multitude of tasks, particularly shining in those involving mathematical reasoning and instruction comprehension. To fully exploit its potential, it's advisable to formulate prompts with concise and explicit instructions.
+
+## Comparison to ChatGPT
+Preliminary assessments suggest that LexGPT-Beta's performance is on par with ChatGPT, particularly in mathematical scenarios. However, no Humaneval has been executed to definitively compare the two.
+
+## Development Standing
+LexGPT-Beta is presently in the beta phase. Input and collaboration are encouraged to expand the model's functionalities and applications.
+
+## Caution
+As LexGPT-Beta is uncensored and in its beta phase, users are urged to exercise caution when utilizing the model. The model's outputs should be scrutinized, especially in delicate contexts.
+
+## Credits
+LexGPT-Beta is derived from Mistral-7B-Instruct-v0.2, created by the Mistral AI Team. The fine-tuning process leveraged datasets accessible on Hugging Face, significantly contributing to the model's specialized features.

config.json

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+{
+  "_name_or_path": "LexGPT_BETA",
+  "architectures": [
+    "MistralForCausalLM"
+  ],
+  "attention_dropout": 0.0,
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "hidden_act": "silu",
+  "hidden_size": 4096,
+  "initializer_range": 0.02,
+  "intermediate_size": 14336,
+  "max_position_embeddings": 32768,
+  "model_type": "mistral",
+  "num_attention_heads": 32,
+  "num_hidden_layers": 32,
+  "num_key_value_heads": 8,
+  "rms_norm_eps": 1e-05,
+  "rope_theta": 1000000.0,
+  "sliding_window": null,
+  "tie_word_embeddings": false,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.35.2",
+  "use_cache": true,
+  "vocab_size": 32000
+}

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model.safetensors.index.json

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tokenizer_config.json

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