MiquMaid-v2-70B / README.md
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metadata
license: cc-by-nc-4.0
tags:
  - not-for-all-audiences
  - nsfw
model-index:
  - name: MiquMaid-v2-70B
    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: 70.48
            name: normalized accuracy
        source:
          url: >-
            https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=NeverSleep/MiquMaid-v2-70B
          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: 87.49
            name: normalized accuracy
        source:
          url: >-
            https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=NeverSleep/MiquMaid-v2-70B
          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: 75.18
            name: accuracy
        source:
          url: >-
            https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=NeverSleep/MiquMaid-v2-70B
          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: 57.62
        source:
          url: >-
            https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=NeverSleep/MiquMaid-v2-70B
          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: 84.77
            name: accuracy
        source:
          url: >-
            https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=NeverSleep/MiquMaid-v2-70B
          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: 15.62
            name: accuracy
        source:
          url: >-
            https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=NeverSleep/MiquMaid-v2-70B
          name: Open LLM Leaderboard

MiquMaid v2

Check out our blogpost about this model series Here! - Join our Discord server Here!

[V2-70B - V2-70B-DPO - V2-2x70B - V2-2x70B-DPO]

This model uses the Alpaca prompting format

Model trained for RP conversation on Miqu-70B with our magic sauce.

Credits:

  • Undi
  • IkariDev

Description

This repo contains FP16 files of MiquMaid-v2-70B.

Switch: FP16 - GGUF

Training data used:

Custom format:

### Instruction:
{system prompt}

### Input:
{input}

### Response:
{reply}

Others

Undi: If you want to support us, you can here.

IkariDev: Visit my retro/neocities style website please kek

Open LLM Leaderboard Evaluation Results

Detailed results can be found here

Metric Value
Avg. 65.19
AI2 Reasoning Challenge (25-Shot) 70.48
HellaSwag (10-Shot) 87.49
MMLU (5-Shot) 75.18
TruthfulQA (0-shot) 57.62
Winogrande (5-shot) 84.77
GSM8k (5-shot) 15.62