| | --- |
| | 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. |
| | |
| | Want to support my work? Visit my ko-fi page here: https://ko-fi.com/bartowski |
| | |
