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--- |
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license: llama3 |
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language: |
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- en |
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library_name: transformers |
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pipeline_tag: text2text-generation |
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--- |
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**Model Name: llama_3_orca_mini_v4_8b** |
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# Llama-3-8b base model trained on Orca Style Mini Datasets |
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<img src="https://huggingface.co/pankajmathur/orca_mini_v4_8b/resolve/main/orca_minis_small.jpeg" width="auto" /> |
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<strong> |
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Passionate about Generative AI? I help companies to privately train and deploy custom LLM/MLLM affordably. For startups, I can even assist with securing GPU grants to get you started. Let's chat! |
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<a href="https://www.linkedin.com/in/pankajam" target="_blank">https://www.linkedin.com/in/pankajam</a> Looking forward to connecting! |
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</strong> |
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<br> |
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### NOTICE |
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By providing proper credit and attribution, you are granted permission to use this model as a foundational base for further DPO/PPO tuning or Merges. |
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I actively encourage users to customize and enhance the model according to their specific needs, as this version is designed to be a comprehensive, fully fine-tuned general model. |
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Dive in and innovate! |
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### Evaluation |
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We evaluated this model on a wide range of tasks using [Language Model Evaluation Harness](https://github.com/EleutherAI/lm-evaluation-harness) from EleutherAI. |
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Here are the results on similar metrics used by [HuggingFaceH4 Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard) |
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| Metric |Value| |
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|---------------------------------|----:| |
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|Avg. |66.65| |
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|AI2 Reasoning Challenge (25-Shot)|58.02| |
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|HellaSwag (10-Shot) |81.65| |
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|MMLU (5-Shot) |63.23| |
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|TruthfulQA (0-shot) |55.78| |
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|Winogrande (5-shot) |73.95| |
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|GSM8k (5-shot) |67.25| |
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### Example Usage |
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Here is the ChatML prompt format |
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``` |
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<|im_start|>system |
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You are Orca Mini, a helpful AI assistant.<|im_end|> |
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<|im_start|>user |
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Hello Orca Mini, what can you do for me?<|im_end|> |
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<|im_start|>assistant |
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``` |
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Below shows a code example on how to use this model |
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```python |
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from transformers import AutoModel, AutoTokenizer |
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model_slug = "pankajmathur/orca_mini_v4_8b" |
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model = AutoModel.from_pretrained(model_slug) |
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tokenizer = AutoTokenizer.from_pretrained(model_slug) |
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messages = [ |
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{"role": "system", "content": "You are Orca Mini, a helpful AI assistant."}, |
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{"role": "user", "content": "Hello Orca Mini, what can you do for me?"} |
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] |
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gen_input = tokenizer.apply_chat_template(messages, return_tensors="pt") |
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model.generate(**gen_input) |
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``` |
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This model is governed by [META LLAMA 3 COMMUNITY LICENSE AGREEMENT](LICENSE) |
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**Quants** |
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GGUF : Coming Soon |
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AWQ: Coming Soon |
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