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Model: andrijdavid/Llama3-2B-Base
Source: Original Platform

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README.md

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+---
+license: cc-by-4.0
+language:
+- en
+pipeline_tag: text-generation
+---
+# Llama-3-2B-Base
+
+Llama3-2b is a trimmed version of the official [Llama-3 8B](https://huggingface.co/meta-llama/Meta-Llama-3-8B) base model from [Meta](https://huggingface.co/meta-llama).
+It has been reduced in size to ~2 billion parameters, making it more computationally efficient while still retaining a significant portion of the original model's capabilities.
+This model is intended to serve as a base model and has not been further fine-tuned for any specific task.
+It is specifically designed to bring the power of LLMs (Large Language Models) to environments with limited computational resources. This model offers a balance between performance and resource usage, serving as an efficient alternative for users who cannot leverage the larger, resource-intensive versions from Meta.
+
+**Important**: This project is not affiliated with Meta.
+
+## Uses
+
+This model can be fine-tuned for a variety of natural language processing tasks, including:
+
+- Text generation
+- Question answering
+- Sentiment analysis
+- Translation
+- Summarization
+
+## Bias, Risks, and Limitations
+
+While Llama3-2b is a powerful model, it is important to be aware of its limitations and potential biases.
+As with any language model, this model may generate outputs that are factually incorrect or biased.
+It is also possible that the model may produce offensive or inappropriate content.
+Users and Developers should be aware of these risks and take appropriate measures to mitigate them.
+
+## How to Use
+
+To use Llama3-2b, you can load the model using the Hugging Face Transformers library in Python:
+
+```python
+from transformers import AutoTokenizer, AutoModelForCausalLM
+
+tokenizer = AutoTokenizer.from_pretrained("andrijdavid/Llama-3-2B-Base/")
+model = AutoModelForCausalLM.from_pretrained("andrijdavid/Llama-3-2B-Base/")
+```

config.json

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+{
+  "_name_or_path": "meta-llama/Meta-Llama-3-8B-Instruct",
+  "architectures": [
+    "LlamaForCausalLM"
+  ],
+  "attention_bias": false,
+  "attention_dropout": 0.0,
+  "bos_token_id": 128000,
+  "eos_token_id": 128009,
+  "hidden_act": "silu",
+  "hidden_size": 4096,
+  "initializer_range": 0.02,
+  "intermediate_size": 14336,
+  "max_position_embeddings": 8192,
+  "mlp_bias": false,
+  "model_type": "llama",
+  "num_attention_heads": 32,
+  "num_hidden_layers": 6,
+  "num_key_value_heads": 8,
+  "pretraining_tp": 1,
+  "rms_norm_eps": 1e-05,
+  "rope_scaling": null,
+  "rope_theta": 500000.0,
+  "tie_word_embeddings": false,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.41.2",
+  "use_cache": true,
+  "vocab_size": 128256
+}

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special_tokens_map.json

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