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Clarified quantization type

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  ---
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  license: cc-by-nc-4.0
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- base_model:
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- - BlueNipples/SnowLotus-v2-10.7B
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- - Himitsui/KuroMitsu-11B
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  tags:
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  - mergekit
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  - merge
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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- This is an EXL2 quantized model of [saishf/Kuro-Lotus-10.7B](https://huggingface.co/saishf/Kuro-Lotus-10.7B) using the default calibration dataset.
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  The quants are uploaded on individual branches and the list is here:
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  [4bpw](https://huggingface.co/mpasila/Kuro-Lotus-10.7B-exl2/tree/4bpw)
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  [3.75bpw](https://huggingface.co/mpasila/Kuro-Lotus-10.7B-exl2/tree/3.75bpw)
@@ -16,4 +119,58 @@ The quants are uploaded on individual branches and the list is here:
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  [3.25bpw](https://huggingface.co/mpasila/Kuro-Lotus-10.7B-exl2/tree/3.25bpw)
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  [3bpw](https://huggingface.co/mpasila/Kuro-Lotus-10.7B-exl2/tree/3bpw)
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- Prompt format is Alpaca.
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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  license: cc-by-nc-4.0
 
 
 
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  tags:
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  - mergekit
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  - merge
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+ base_model:
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+ - BlueNipples/SnowLotus-v2-10.7B
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+ - Himitsui/KuroMitsu-11B
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+ model-index:
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+ - name: Kuro-Lotus-10.7B
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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: 68.69
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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=saishf/Kuro-Lotus-10.7B
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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: 87.51
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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=saishf/Kuro-Lotus-10.7B
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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: 66.64
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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=saishf/Kuro-Lotus-10.7B
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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: 58.27
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+ source:
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+ url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=saishf/Kuro-Lotus-10.7B
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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: 84.21
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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=saishf/Kuro-Lotus-10.7B
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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: 66.11
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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=saishf/Kuro-Lotus-10.7B
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+ name: Open LLM Leaderboard
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  ---
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+ This is an ExLlamaV2 quantized model of [saishf/Kuro-Lotus-10.7B](https://huggingface.co/saishf/Kuro-Lotus-10.7B) using the default calibration dataset.
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  The quants are uploaded on individual branches and the list is here:
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  [4bpw](https://huggingface.co/mpasila/Kuro-Lotus-10.7B-exl2/tree/4bpw)
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  [3.75bpw](https://huggingface.co/mpasila/Kuro-Lotus-10.7B-exl2/tree/3.75bpw)
 
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  [3.25bpw](https://huggingface.co/mpasila/Kuro-Lotus-10.7B-exl2/tree/3.25bpw)
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  [3bpw](https://huggingface.co/mpasila/Kuro-Lotus-10.7B-exl2/tree/3bpw)
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+ Prompt format is Alpaca.
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+
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+ # Original Model card
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+
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+ # merge
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+
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+ This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
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+
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+ ## Merge Details
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+ ### Merge Method
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+
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+ This model was merged using the SLERP merge method.
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+
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+ ### Models Merged
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+
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+ The following models were included in the merge:
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+ * [BlueNipples/SnowLotus-v2-10.7B](https://huggingface.co/BlueNipples/SnowLotus-v2-10.7B)
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+ * [Himitsui/KuroMitsu-11B](https://huggingface.co/Himitsui/KuroMitsu-11B)
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+
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+ ### Configuration
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+
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+ The following YAML configuration was used to produce this model:
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+
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+ ```yaml
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+ slices:
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+ - sources:
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+ - model: Himitsui/KuroMitsu-11B
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+ layer_range: [0, 48]
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+ - model: BlueNipples/SnowLotus-v2-10.7B
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+ layer_range: [0, 48]
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+ merge_method: slerp
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+ base_model: Himitsui/KuroMitsu-11B
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+ parameters:
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+ t:
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+ - filter: self_attn
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+ value: [0.6, 0.7, 0.8, 0.9, 1]
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+ - filter: mlp
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+ value: [0.4, 0.3, 0.2, 0.1, 0]
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+ - value: 0.5
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+ dtype: bfloat16
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+
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+ ```
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+ # [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)
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+ Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_saishf__Kuro-Lotus-10.7B)
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+
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+ | Metric |Value|
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+ |---------------------------------|----:|
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+ |Avg. |71.90|
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+ |AI2 Reasoning Challenge (25-Shot)|68.69|
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+ |HellaSwag (10-Shot) |87.51|
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+ |MMLU (5-Shot) |66.64|
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+ |TruthfulQA (0-shot) |58.27|
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+ |Winogrande (5-shot) |84.21|
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+ |GSM8k (5-shot) |66.11|
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+