Llamacpp quants

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README.md

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+---
+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/">llama.cpp</a> release <a href="https://github.com/ggerganov/llama.cpp/releases/tag/"></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