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--- |
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base_model: |
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- NousResearch/Hermes-2-Pro-Llama-3-8B |
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- cognitivecomputations/dolphin-2.9-llama3-8b |
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- NousResearch/Meta-Llama-3-8B |
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- winglian/llama-3-8b-256k-PoSE |
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- maum-ai/Llama-3-MAAL-8B-Instruct-v0.1 |
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- asiansoul/Llama-3-Open-Ko-Linear-8B |
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- NousResearch/Meta-Llama-3-8B-Instruct |
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- nvidia/Llama3-ChatQA-1.5-8B |
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- Danielbrdz/Barcenas-Llama3-8b-ORPO |
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- aaditya/Llama3-OpenBioLLM-8B |
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library_name: transformers |
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tags: |
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- mergekit |
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- merge |
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- llama |
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--- |
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# YACHT-Llama-3-Ko-8B |
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[](https://ibb.co/92BXmfz) |
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🎵 *[JayLee LLMs Signature Tag] : ✍️ "I need a Jay Jay chat boy"* 🎵 |
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✨ *Navigating the High Seas of Data: Crafting the Ultimate Yacht Insights with Merged LLMs* ✨ |
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## 🏟️ Merged Model Series Yacht Features |
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Welcome to the merged model series yacht! This provides an overview of the powerful features and functionalities that this series brings together, akin to a sleek, modern yacht sailing across the digital ocean. |
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### 1. Function Calling & JSON Outputs |
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- Offers precise function calling and structured JSON outputs via specialized tokens like `<tools>`, `<tool_call>`, and `<tool_response>`. Streamlines system communication for developers. |
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### 2. Conversational Interaction |
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- Avoids excessive "SYSTEM MESSAGE" chatter while delivering seamless, friendly dialogue. |
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- Specializes in answering questions with precision, handling arithmetic and tabular data effortlessly. |
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### 3. Expanded Context Length |
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- Extends the context length to 256k tokens using PoSE, offering a broader field of data analysis. |
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### 4. Multilingual Capabilities |
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- Transfers instruction-following from English to Korean for reliable interaction across languages. |
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### 5. Optimized Dialogue & Safety |
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- Aligns with human preferences using fine-tuning (SFT) and reinforcement learning (RLHF), ensuring helpful and safe dialogues. |
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### 6. Precision Merging |
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- Merges foundational and preview models for Korean language through task arithmetic, providing seamless integration. |
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### 7. Specialized Biomedical Knowledge |
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- Specializes in biomedical tasks with accurate responses for healthcare professionals and researchers. |
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### 8. Novel Training & Collaboration |
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- Combines [ORPO method](https://arxiv.org/pdf/2403.07691) and dolphin preference datasets for high-quality conversation and collaboration. |
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The merged model series yacht offers unparalleled functionality, drawing together a fleet of specialized models. Whether you need precise function calling, multilingual capabilities, or conversational AI, this yacht has every deck optimized to navigate the digital ocean with style and precision. |
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## 👘 Merge Method |
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This model was merged using the [DARE](https://arxiv.org/abs/2311.03099) [TIES](https://arxiv.org/abs/2306.01708) merge method using [NousResearch/Meta-Llama-3-8B](https://huggingface.co/NousResearch/Meta-Llama-3-8B) as a base. |
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## 🩱 Models Merged |
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The following models were included in the merge: |
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* [NousResearch/Hermes-2-Pro-Llama-3-8B](https://huggingface.co/NousResearch/Hermes-2-Pro-Llama-3-8B) |
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* [cognitivecomputations/dolphin-2.9-llama3-8b](https://huggingface.co/cognitivecomputations/dolphin-2.9-llama3-8b) |
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* [winglian/llama-3-8b-256k-PoSE](https://huggingface.co/winglian/llama-3-8b-256k-PoSE) |
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* [maum-ai/Llama-3-MAAL-8B-Instruct-v0.1](https://huggingface.co/maum-ai/Llama-3-MAAL-8B-Instruct-v0.1) |
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* [asiansoul/Llama-3-Open-Ko-Linear-8B](https://huggingface.co/asiansoul/Llama-3-Open-Ko-Linear-8B) |
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* [NousResearch/Meta-Llama-3-8B-Instruct](https://huggingface.co/NousResearch/Meta-Llama-3-8B-Instruct) |
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* [nvidia/Llama3-ChatQA-1.5-8B](https://huggingface.co/nvidia/Llama3-ChatQA-1.5-8B) |
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* [Danielbrdz/Barcenas-Llama3-8b-ORPO](https://huggingface.co/Danielbrdz/Barcenas-Llama3-8b-ORPO) |
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* [aaditya/Llama3-OpenBioLLM-8B](https://huggingface.co/aaditya/Llama3-OpenBioLLM-8B) |
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## 🪭 Configuration |
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The following YAML configuration was used to produce this model: |
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```yaml |
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models: |
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- model: NousResearch/Meta-Llama-3-8B |
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# Base model providing a general foundation without specific parameters |
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- model: NousResearch/Meta-Llama-3-8B-Instruct |
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parameters: |
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density: 0.60 |
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weight: 0.25 |
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- model: winglian/llama-3-8b-256k-PoSE |
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parameters: |
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density: 0.55 |
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weight: 0.15 |
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- model: nvidia/Llama3-ChatQA-1.5-8B |
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parameters: |
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density: 0.55 |
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weight: 0.1 |
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- model: asiansoul/Llama-3-Open-Ko-Linear-8B |
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parameters: |
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density: 0.55 |
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weight: 0.2 |
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- model: maum-ai/Llama-3-MAAL-8B-Instruct-v0.1 |
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parameters: |
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density: 0.55 |
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weight: 0.1 |
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- model: NousResearch/Hermes-2-Pro-Llama-3-8B |
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parameters: |
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density: 0.55 |
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weight: 0.1 |
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- model: cognitivecomputations/dolphin-2.9-llama3-8b |
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parameters: |
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density: 0.55 |
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weight: 0.05 |
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- model: Danielbrdz/Barcenas-Llama3-8b-ORPO |
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parameters: |
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density: 0.55 |
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weight: 0.05 |
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- model: aaditya/Llama3-OpenBioLLM-8B |
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parameters: |
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density: 0.55 |
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weight: 0.1 |
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merge_method: dare_ties |
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base_model: NousResearch/Meta-Llama-3-8B |
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parameters: |
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int8_mask: true |
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dtype: bfloat16 |
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``` |
