Initial release

.gitattributes

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 *.bz2 filter=lfs diff=lfs merge=lfs -text
 *.ckpt filter=lfs diff=lfs merge=lfs -text
 *.ftz filter=lfs diff=lfs merge=lfs -text
+*.gguf filter=lfs diff=lfs merge=lfs -text
 *.gz filter=lfs diff=lfs merge=lfs -text
 *.h5 filter=lfs diff=lfs merge=lfs -text
 *.joblib filter=lfs diff=lfs merge=lfs -text

README.md

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----
-license: cc-by-nc-4.0
----
+---
+base_model:
+- grimjim/zephyr-beta-wizardLM-2-merge-7B
+- core-3/kuno-royale-v2-7b
+library_name: transformers
+tags:
+- mergekit
+- merge
+license: cc-by-nc-4.0
+pipeline_tag: text-generation
+model-index:
+- name: grimjim/zephyr-wizard-kuno-royale-BF16-merge-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: 68.69
+      name: normalized accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=grimjim/zephyr-wizard-kuno-royale-BF16-merge-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: 86.87
+      name: normalized accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=grimjim/zephyr-wizard-kuno-royale-BF16-merge-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: 64.87
+      name: accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=grimjim/zephyr-wizard-kuno-royale-BF16-merge-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: 65.47
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=grimjim/zephyr-wizard-kuno-royale-BF16-merge-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: 80.03
+      name: accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=grimjim/zephyr-wizard-kuno-royale-BF16-merge-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: 63.31
+      name: accuracy
+    source:
+      url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=grimjim/zephyr-wizard-kuno-royale-BF16-merge-7B
+      name: Open LLM Leaderboard
+---
+# zephyr-wizard-kuno-royale-BF16-merge-7B-GGUF
+
+This is an experimental merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit). All source model weights are BF16, avoiding issues arising from mixed-precision merges.
+
+Although the zephyr beta and WizardLM 2 7B models are touted as SOTA and can generate varied prose compared to base Mistral v0.1, their relatively mediocre benchmarks under GSM-8K suggests only average reasoning capability in one-shot narrative text completion. The kuno-royale-v2 model was selected for merger because of its higher GSM-8K rating.
+
+Native prompt format is Alpaca, although at least one of the prior models was fine-tuned to Vicuna.
+
+Tested lightly with ChatML instruct prompts, temperature 1, and minP 0.02.
+
+- Full weights: [grimjim/zephyr-wizard-kuno-royale-BF16-merge-7B](https://huggingface.co/grimjim/zephyr-wizard-kuno-royale-BF16-merge-7B)
+- GGUF quants: [grimjim/zephyr-wizard-kuno-royale-BF16-merge-7B-GGUF](grimjim/zephyr-wizard-kuno-royale-BF16-merge-7B-GGUF)
+
+## Merge Details
+### Merge Method
+
+This model was merged using the SLERP merge method.
+
+### Models Merged
+
+The following models were included in the merge:
+* [grimjim/zephyr-beta-wizardLM-2-merge-7B](https://huggingface.co/grimjim/zephyr-beta-wizardLM-2-merge-7B)
+* [core-3/kuno-royale-v2-7b](https://huggingface.co/core-3/kuno-royale-v2-7b)
+
+### Configuration
+
+The following YAML configuration was used to produce this model:
+
+```yaml
+slices:
+  - sources:
+    - model: grimjim/zephyr-beta-wizardLM-2-merge-7B
+      layer_range: [0,32]
+    - model: core-3/kuno-royale-v2-7b
+      layer_range: [0,32]
+merge_method: slerp
+base_model: grimjim/zephyr-beta-wizardLM-2-merge-7B
+parameters:
+  t:
+    - value: 0.5
+dtype: bfloat16
+
+```

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