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--- |
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license: apache-2.0 |
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base_model: |
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- cognitivecomputations/dolphin-2.6-mistral-7b-dpo-laser |
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- Locutusque/Hyperion-1.5-Mistral-7B |
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- ibm/merlinite-7b |
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library_name: transformers |
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tags: |
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- mergekit |
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- merge |
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- code |
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model-index: |
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- name: Magic-Dolphin-7b |
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results: |
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- task: |
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type: text-generation |
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name: Text Generation |
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dataset: |
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name: AI2 Reasoning Challenge (25-Shot) |
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type: ai2_arc |
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config: ARC-Challenge |
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split: test |
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args: |
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num_few_shot: 25 |
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metrics: |
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- type: acc_norm |
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value: 65.78 |
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name: normalized accuracy |
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source: |
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=InferenceIllusionist/Magic-Dolphin-7b |
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name: Open LLM Leaderboard |
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- task: |
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type: text-generation |
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name: Text Generation |
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dataset: |
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name: HellaSwag (10-Shot) |
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type: hellaswag |
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split: validation |
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args: |
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num_few_shot: 10 |
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metrics: |
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- type: acc_norm |
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value: 85.61 |
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name: normalized accuracy |
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source: |
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=InferenceIllusionist/Magic-Dolphin-7b |
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name: Open LLM Leaderboard |
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- task: |
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type: text-generation |
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name: Text Generation |
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dataset: |
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name: MMLU (5-Shot) |
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type: cais/mmlu |
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config: all |
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split: test |
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args: |
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num_few_shot: 5 |
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metrics: |
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- type: acc |
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value: 64.64 |
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name: accuracy |
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source: |
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=InferenceIllusionist/Magic-Dolphin-7b |
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name: Open LLM Leaderboard |
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- task: |
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type: text-generation |
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name: Text Generation |
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dataset: |
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name: TruthfulQA (0-shot) |
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type: truthful_qa |
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config: multiple_choice |
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split: validation |
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args: |
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num_few_shot: 0 |
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metrics: |
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- type: mc2 |
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value: 58.01 |
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source: |
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=InferenceIllusionist/Magic-Dolphin-7b |
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name: Open LLM Leaderboard |
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- task: |
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type: text-generation |
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name: Text Generation |
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dataset: |
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name: Winogrande (5-shot) |
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type: winogrande |
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config: winogrande_xl |
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split: validation |
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args: |
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num_few_shot: 5 |
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metrics: |
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- type: acc |
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value: 79.64 |
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name: accuracy |
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source: |
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=InferenceIllusionist/Magic-Dolphin-7b |
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name: Open LLM Leaderboard |
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- task: |
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type: text-generation |
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name: Text Generation |
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dataset: |
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name: GSM8k (5-shot) |
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type: gsm8k |
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config: main |
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split: test |
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args: |
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num_few_shot: 5 |
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metrics: |
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- type: acc |
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value: 51.18 |
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name: accuracy |
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source: |
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=InferenceIllusionist/Magic-Dolphin-7b |
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name: Open LLM Leaderboard |
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quantized_by: bartowski |
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pipeline_tag: text-generation |
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--- |
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## Llamacpp Quantizations of Magic-Dolphin-7b |
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Using <a href="https://github.com/ggerganov/llama.cpp/commit/fa974646e1a2024fc7dc9e6f27cf1f2f5d4a3763">llama.cpp commit fa97464</a> for quantization. |
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Original model: https://huggingface.co/InferenceIllusionist/Magic-Dolphin-7b |
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Download a file (not the whole branch) from below: |
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| Filename | Quant type | File Size | Description | |
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| -------- | ---------- | --------- | ----------- | |
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| [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. | |
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| [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*. | |
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| [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. | |
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| [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. | |
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| [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. | |
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| [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. | |
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| [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. | |
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| [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. | |
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| [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. | |
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| [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. | |
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| [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. | |
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| [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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Want to support my work? Visit my ko-fi page here: https://ko-fi.com/bartowski |
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