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- ---
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- license: llama3
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- ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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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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+
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+ **Model Name: llama_3_orca_mini_v4_8b**
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+
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+ ## Llama-3-8b base model trained on Orca Style Mini Datasets
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+
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+ <img src="" width="600" />
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+
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+ NOTICE
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+
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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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+
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+ ## Evaluation
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+
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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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+
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+ Here are the results on metrics used by [HuggingFaceH4 Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)
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+
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+ | Metric |Value|
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+ |---------------------------------|----:|
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+ |Avg. |57.24|
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+ |AI2 Reasoning Challenge (25-Shot)|63.14|
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+ |HellaSwag (10-Shot) |82.35|
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+ |MMLU (5-Shot) |56.52|
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+ |TruthfulQA (0-shot) |51.81|
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+ |Winogrande (5-shot) |76.48|
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+ |GSM8k (5-shot) |13.12|
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+
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+
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+ <br>
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+
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+ ## Example Usage
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+
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+ Here is the ChatML prompt format
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+
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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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+
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+ Below shows a code example on how to use this model
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+
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+ ```python
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+ from transformers import AutoConfig, AutoModel, AutoTokenizer
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+ config = AutoConfig.from_pretrained("investbrainsorg/BrokenLlama-3-8b")
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+ model = AutoModel.from_pretrained("investbrainsorg/BrokenLlama-3-8b")
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+ tokenizer = AutoTokenizer.from_pretrained("investbrainsorg/BrokenLlama-3-8b")
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+
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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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+
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+ gen_input = tokenizer.apply_chat_template(message, 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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+
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+ **Quants**
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+
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+ GGUF : Coming Soon
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+
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+ AWQ: Coming Soon
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+