README.md

metadata

base_model:
  - SanjiWatsuki/Silicon-Maid-7B
  - Guilherme34/Samantha-v2
  - jan-hq/stealth-v1.3
  - mitultiwari/mistral-7B-instruct-dpo
  - senseable/WestLake-7B-v2
library_name: transformers
tags:
  - mergekit
  - merge
  - not-for-all-audiences
datasets:
  - Anthropic/hh-rlhf
license: cc
model-index:
  - name: sethuiyer/Aika-7B
    results:
      - task:
          type: text-generation
          name: Text Generation
        dataset:
          name: AI2 Reasoning Challenge (25-Shot)
          type: ai2_arc
          config: ARC-Challenge
          split: test
          args:
            num_few_shot: 25
        metrics:
          - type: acc_norm
            value: 65.36
            name: normalized accuracy
        source:
          url: >-
            https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=sethuiyer/Aika-7B
          name: Open LLM Leaderboard
      - task:
          type: text-generation
          name: Text Generation
        dataset:
          name: HellaSwag (10-Shot)
          type: hellaswag
          split: validation
          args:
            num_few_shot: 10
        metrics:
          - type: acc_norm
            value: 81.49
            name: normalized accuracy
        source:
          url: >-
            https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=sethuiyer/Aika-7B
          name: Open LLM Leaderboard
      - task:
          type: text-generation
          name: Text Generation
        dataset:
          name: MMLU (5-Shot)
          type: cais/mmlu
          config: all
          split: test
          args:
            num_few_shot: 5
        metrics:
          - type: acc
            value: 53.91
            name: accuracy
        source:
          url: >-
            https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=sethuiyer/Aika-7B
          name: Open LLM Leaderboard
      - task:
          type: text-generation
          name: Text Generation
        dataset:
          name: TruthfulQA (0-shot)
          type: truthful_qa
          config: multiple_choice
          split: validation
          args:
            num_few_shot: 0
        metrics:
          - type: mc2
            value: 51.22
        source:
          url: >-
            https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=sethuiyer/Aika-7B
          name: Open LLM Leaderboard
      - task:
          type: text-generation
          name: Text Generation
        dataset:
          name: Winogrande (5-shot)
          type: winogrande
          config: winogrande_xl
          split: validation
          args:
            num_few_shot: 5
        metrics:
          - type: acc
            value: 77.74
            name: accuracy
        source:
          url: >-
            https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=sethuiyer/Aika-7B
          name: Open LLM Leaderboard
      - task:
          type: text-generation
          name: Text Generation
        dataset:
          name: GSM8k (5-shot)
          type: gsm8k
          config: main
          split: test
          args:
            num_few_shot: 5
        metrics:
          - type: acc
            value: 25.78
            name: accuracy
        source:
          url: >-
            https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=sethuiyer/Aika-7B
          name: Open LLM Leaderboard
language:
  - en

Aika-7B

Aika is a language model constructed using the DARE TIES merge method using mitultiwari/mistral-7B-instruct-dpo as a base. Aika is designed to interact with users in a way that feels natural and human-like, to solve problems and answer questions with a high degree of accuracy and truthfulness, and to engage in creative and logical tasks with proficiency.

Models Merged

The following models were included in the merge:

• SanjiWatsuki/Silicon-Maid-7B
• Guilherme34/Samantha-v2
• jan-hq/stealth-v1.3
• senseable/WestLake-7B-v2

The base model is Mistral-7Bv0.1 fine tuned on Anthropic/hh-rlhf.

Why?

• Base model tuned on Anthropic RLHF dataset: Safe AI as a base model, to balance the uncensored model below.
• Silicon-Maid-7B: Boasts excellent multi-turn conversational skills and logical coherence, ensuring smooth interactions.
• Samantha-V2: Offers empathy and human-like responses, equipped with programmed "self-awareness" for a more personalized experience.
• Stealth-V1.3: Known for enhancing performance in merges when integrated as a component, optimizing Aika's functionality.
• WestLake-7B-V2: Sets a high benchmark for emotional intelligence (EQ) and excels in creative writing, enhancing Aika's ability to understand and respond to your needs.

Combine them all

Source

You get Aika - a considerate, personal digital assistant.

Configuration

Please check mergekit_config.yml for the merge config.