README.md

metadata

license: apache-2.0
base_model:
  - cognitivecomputations/dolphin-2.6-mistral-7b-dpo-laser
  - Locutusque/Hyperion-1.5-Mistral-7B
  - ibm/merlinite-7b
library_name: transformers
tags:
  - mergekit
  - merge
  - code
model-index:
  - name: Magic-Dolphin-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: 65.78
            name: normalized accuracy
        source:
          url: >-
            https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=InferenceIllusionist/Magic-Dolphin-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: 85.61
            name: normalized accuracy
        source:
          url: >-
            https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=InferenceIllusionist/Magic-Dolphin-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: 64.64
            name: accuracy
        source:
          url: >-
            https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=InferenceIllusionist/Magic-Dolphin-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: 58.01
        source:
          url: >-
            https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=InferenceIllusionist/Magic-Dolphin-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: 79.64
            name: accuracy
        source:
          url: >-
            https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=InferenceIllusionist/Magic-Dolphin-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: 51.18
            name: accuracy
        source:
          url: >-
            https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=InferenceIllusionist/Magic-Dolphin-7b
          name: Open LLM Leaderboard
quantized_by: bartowski
pipeline_tag: text-generation

Llamacpp Quantizations of Magic-Dolphin-7b

Using llama.cpp commit fa97464 for quantization.

Original model: https://huggingface.co/InferenceIllusionist/Magic-Dolphin-7b

Download a file (not the whole branch) from below:

Filename	Quant type	File Size	Description
Magic-Dolphin-7b-Q8_0.gguf	Q8_0	7.69GB	Extremely high quality, generally unneeded but max available quant.
Magic-Dolphin-7b-Q6_K.gguf	Q6_K	5.94GB	Very high quality, near perfect, recommended.
Magic-Dolphin-7b-Q5_K_M.gguf	Q5_K_M	5.13GB	High quality, very usable.
Magic-Dolphin-7b-Q5_K_S.gguf	Q5_K_S	4.99GB	High quality, very usable.
Magic-Dolphin-7b-Q5_0.gguf	Q5_0	4.99GB	High quality, older format, generally not recommended.
Magic-Dolphin-7b-Q4_K_M.gguf	Q4_K_M	4.36GB	Good quality, similar to 4.25 bpw.
Magic-Dolphin-7b-Q4_K_S.gguf	Q4_K_S	4.14GB	Slightly lower quality with small space savings.
Magic-Dolphin-7b-Q4_0.gguf	Q4_0	4.10GB	Decent quality, older format, generally not recommended.
Magic-Dolphin-7b-Q3_K_L.gguf	Q3_K_L	3.82GB	Lower quality but usable, good for low RAM availability.
Magic-Dolphin-7b-Q3_K_M.gguf	Q3_K_M	3.51GB	Even lower quality.
Magic-Dolphin-7b-Q3_K_S.gguf	Q3_K_S	3.16GB	Low quality, not recommended.
Magic-Dolphin-7b-Q2_K.gguf	Q2_K	2.71GB	Extremely low quality, not recommended.

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