---
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 <a href="https://github.com/ggerganov/llama.cpp/commit/fa974646e1a2024fc7dc9e6f27cf1f2f5d4a3763">llama.cpp commit fa97464</a> 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](https://huggingface.co/bartowski/Magic-Dolphin-7b-GGUF/blob/main/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](https://huggingface.co/bartowski/Magic-Dolphin-7b-GGUF/blob/main/Magic-Dolphin-7b-Q6_K.gguf) | Q6_K | 5.94GB | Very high quality, near perfect, *recommended*. |
| [Magic-Dolphin-7b-Q5_K_M.gguf](https://huggingface.co/bartowski/Magic-Dolphin-7b-GGUF/blob/main/Magic-Dolphin-7b-Q5_K_M.gguf) | Q5_K_M | 5.13GB | High quality, very usable. |
| [Magic-Dolphin-7b-Q5_K_S.gguf](https://huggingface.co/bartowski/Magic-Dolphin-7b-GGUF/blob/main/Magic-Dolphin-7b-Q5_K_S.gguf) | Q5_K_S | 4.99GB | High quality, very usable. |
| [Magic-Dolphin-7b-Q5_0.gguf](https://huggingface.co/bartowski/Magic-Dolphin-7b-GGUF/blob/main/Magic-Dolphin-7b-Q5_0.gguf) | Q5_0 | 4.99GB | High quality, older format, generally not recommended. |
| [Magic-Dolphin-7b-Q4_K_M.gguf](https://huggingface.co/bartowski/Magic-Dolphin-7b-GGUF/blob/main/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](https://huggingface.co/bartowski/Magic-Dolphin-7b-GGUF/blob/main/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](https://huggingface.co/bartowski/Magic-Dolphin-7b-GGUF/blob/main/Magic-Dolphin-7b-Q4_0.gguf) | Q4_0 | 4.10GB | Decent quality, older format, generally not recommended. |
| [Magic-Dolphin-7b-Q3_K_L.gguf](https://huggingface.co/bartowski/Magic-Dolphin-7b-GGUF/blob/main/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](https://huggingface.co/bartowski/Magic-Dolphin-7b-GGUF/blob/main/Magic-Dolphin-7b-Q3_K_M.gguf) | Q3_K_M | 3.51GB | Even lower quality. |
| [Magic-Dolphin-7b-Q3_K_S.gguf](https://huggingface.co/bartowski/Magic-Dolphin-7b-GGUF/blob/main/Magic-Dolphin-7b-Q3_K_S.gguf) | Q3_K_S | 3.16GB | Low quality, not recommended. |
| [Magic-Dolphin-7b-Q2_K.gguf](https://huggingface.co/bartowski/Magic-Dolphin-7b-GGUF/blob/main/Magic-Dolphin-7b-Q2_K.gguf) | Q2_K | 2.71GB | Extremely low quality, *not* recommended.

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