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metadata
language:
  - en
  - ko
pipeline_tag: text-generation
tags:
  - mergekit
  - merge
  - facebook
  - meta
  - pytorch
  - llama
  - llama-3
license: other
license_name: llama3
license_link: LICENSE
extra_gated_prompt: >-
  ### META LLAMA 3 COMMUNITY LICENSE AGREEMENT Meta Llama 3 Version Release
  Date: April 18, 2024

  "Agreement" means the terms and conditions for use, reproduction, distribution
  and modification of the Llama Materials set forth herein.

  "Documentation" means the specifications, manuals and documentation
  accompanying Meta Llama 3 distributed by Meta at
  https://llama.meta.com/get-started/.

  "Licensee" or "you" means you, or your employer or any other person or entity
  (if you are entering into this Agreement on such person or entity’s behalf),
  of the age required under applicable laws, rules or regulations to provide
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  "Meta Llama 3" means the foundational large language models and software and
  algorithms, including machine-learning model code, trained model weights,
  inference-enabling code, training-enabling code, fine-tuning enabling code and
  other elements of the foregoing distributed by Meta at
  https://llama.meta.com/llama-downloads.

  "Llama Materials" means, collectively, Meta’s proprietary Meta Llama 3 and
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  "Meta" or "we" means Meta Platforms Ireland Limited (if you are located in or,
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  Switzerland) and Meta Platforms, Inc. (if you are located outside of the EEA
  or Switzerland).
     
  1. License Rights and Redistribution.

  a. Grant of Rights. You are granted a non-exclusive, worldwide,
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  b. Redistribution and Use.

  i. If you distribute or make available the Llama Materials (or any derivative
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  documentation. If you use the Llama Materials to create, train, fine tune, or
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  shall also include “Llama 3 at the beginning of any such AI model name.

  ii. If you receive Llama Materials, or any derivative works thereof, from a
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  iii. You must retain in all copies of the Llama Materials that you distribute
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  iv. Your use of the Llama Materials must comply with applicable laws and
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  the Acceptable Use Policy for the Llama Materials (available at
  https://llama.meta.com/llama3/use-policy), which is hereby incorporated by
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  v. You will not use the Llama Materials or any output or results of the Llama
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  2. Additional Commercial Terms. If, on the Meta Llama 3 version release date,
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  3. Disclaimer of Warranty. UNLESS REQUIRED BY APPLICABLE LAW, THE LLAMA
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  https://about.meta.com/brand/resources/meta/company-brand/ ). All goodwill
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  ### Meta Llama 3 Acceptable Use Policy

  Meta is committed to promoting safe and fair use of its tools and features,
  including Meta Llama 3. If you access or use Meta Llama 3, you agree to this
  Acceptable Use Policy (“Policy”). The most recent copy of this policy can be
  found at
  [https://llama.meta.com/llama3/use-policy](https://llama.meta.com/llama3/use-policy)

  #### Prohibited Uses

  We want everyone to use Meta Llama 3 safely and responsibly. You agree you
  will not use, or allow others to use, Meta Llama 3 to: 1. Violate the law or
  others’ rights, including to:
      1. Engage in, promote, generate, contribute to, encourage, plan, incite, or further illegal or unlawful activity or content, such as:
          1. Violence or terrorism
          2. Exploitation or harm to children, including the solicitation, creation, acquisition, or dissemination of child exploitative content or failure to report Child Sexual Abuse Material
          3. Human trafficking, exploitation, and sexual violence
          4. The illegal distribution of information or materials to minors, including obscene materials, or failure to employ legally required age-gating in connection with such information or materials.
          5. Sexual solicitation
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  4. Fail to appropriately disclose to end users any known dangers of your AI
  system

  Please report any violation of this Policy, software “bug,” or other problems
  that could lead to a violation of this Policy through one of the following
  means:
      * Reporting issues with the model: [https://github.com/meta-llama/llama3](https://github.com/meta-llama/llama3)
      * Reporting risky content generated by the model:
      developers.facebook.com/llama_output_feedback
      * Reporting bugs and security concerns: facebook.com/whitehat/info
      * Reporting violations of the Acceptable Use Policy or unlicensed uses of Meta Llama 3: LlamaUseReport@meta.com
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KoDolph-2x8b

Update @ 2024.04.26: Linear Merge of Llama-3-Open-Ko-8B-Instruct-preview and dolphin-2.9-llama3-8b

Model Details

KoDolph-2x8b: I had this idea at night that it would make sense to make a Linear Merge

Model Merge: Linear Merge

Composition

  1. Base Layers from Llama-3-Open-Ko-8B-Instruct-preview:

    • Range: Layers 0 to 20
    • Purpose: These layers are utilized for their strong foundational language processing capabilities specifically in Korean. They are crucial for processing and understanding Korean text effectively, handling basic linguistic functions and intermediate language understanding.
  2. Advanced Layers from Dolphin-2.9-llama3-8b:

    • Range: Layers 15 to 24
    • Purpose: These layers provide advanced domain-specific capabilities, particularly suited for coding and technical tasks. Beginning integration from layer 15 enhances the model's ability to manage complex scenarios involving technical language and coding tasks.

Purpose and Utility:

This "Linear Merge" strategically combines the strengths of both models through weighted averaging, ensuring a balanced influence in the merged output. This approach is designed to provide robust performance in applications requiring a deep understanding and generation of Korean text, along with the capability to handle specialized tasks involving technical descriptions and coding. It is ideal for creating advanced AI assistants, coding bots, or any application where high linguistic and technical precision is needed.

Configuration

models:
  - model: beomi/Llama-3-Open-Ko-8B-Instruct-preview
    parameters:
      weight: 0.5  # Equal weight to maintain balance between foundational language processing and advanced technical tasks
    layer_range: [0, 20]  # Use foundational and intermediate language processing layers in Korean
  - model: cognitivecomputations/dolphin-2.9-llama3-8b
    parameters:
      weight: 0.5  # Equal weight to complement and balance the capabilities of the Llama model
    layer_range: [15, 24]  # Utilize advanced coding and domain-specific layers

merge_method: linear  # Balanced combination of layers using a weighted average
dtype: float16  # Efficient resource usage for computational performance

Test Result

Root Cause:

  • Bad Response: There were some strange answers, so I think there may have been a problem during the merge process. We are merging and investigating again as the instructions are not in the Korean version.

Screenshot-2024-04-27-at-12-25-46-PM