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RichardErkhov/
saishf_-_Kuro-Lotus-10.7B-gguf

Name: saishf_-_Kuro-Lotus-10.7B-gguf
Availability: InStock

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gguf

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Quantization made by Richard Erkhov.

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Kuro-Lotus-10.7B - GGUF

Model creator: https://huggingface.co/saishf/
Original model: https://huggingface.co/saishf/Kuro-Lotus-10.7B/

Name	Quant method	Size
Kuro-Lotus-10.7B.Q2_K.gguf	Q2_K	3.73GB
Kuro-Lotus-10.7B.IQ3_XS.gguf	IQ3_XS	4.14GB
Kuro-Lotus-10.7B.IQ3_S.gguf	IQ3_S	4.37GB
Kuro-Lotus-10.7B.Q3_K_S.gguf	Q3_K_S	4.34GB
Kuro-Lotus-10.7B.IQ3_M.gguf	IQ3_M	4.51GB
Kuro-Lotus-10.7B.Q3_K.gguf	Q3_K	4.84GB
Kuro-Lotus-10.7B.Q3_K_M.gguf	Q3_K_M	4.84GB
Kuro-Lotus-10.7B.Q3_K_L.gguf	Q3_K_L	5.26GB
Kuro-Lotus-10.7B.IQ4_XS.gguf	IQ4_XS	5.43GB
Kuro-Lotus-10.7B.Q4_0.gguf	Q4_0	5.66GB
Kuro-Lotus-10.7B.IQ4_NL.gguf	IQ4_NL	5.72GB
Kuro-Lotus-10.7B.Q4_K_S.gguf	Q4_K_S	5.7GB
Kuro-Lotus-10.7B.Q4_K.gguf	Q4_K	6.02GB
Kuro-Lotus-10.7B.Q4_K_M.gguf	Q4_K_M	6.02GB
Kuro-Lotus-10.7B.Q4_1.gguf	Q4_1	6.27GB
Kuro-Lotus-10.7B.Q5_0.gguf	Q5_0	6.89GB
Kuro-Lotus-10.7B.Q5_K_S.gguf	Q5_K_S	6.89GB
Kuro-Lotus-10.7B.Q5_K.gguf	Q5_K	7.08GB
Kuro-Lotus-10.7B.Q5_K_M.gguf	Q5_K_M	7.08GB
Kuro-Lotus-10.7B.Q5_1.gguf	Q5_1	7.51GB
Kuro-Lotus-10.7B.Q6_K.gguf	Q6_K	8.2GB
Kuro-Lotus-10.7B.Q8_0.gguf	Q8_0	10.62GB

Original model description:

license: cc-by-nc-4.0 tags:

mergekit
merge base_model:
BlueNipples/SnowLotus-v2-10.7B
Himitsui/KuroMitsu-11B model-index:
name: Kuro-Lotus-10.7B 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=saishf/Kuro-Lotus-10.7B 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: 87.51 name: normalized accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=saishf/Kuro-Lotus-10.7B 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: 66.64 name: accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=saishf/Kuro-Lotus-10.7B 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: 58.27 source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=saishf/Kuro-Lotus-10.7B 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: 84.21 name: accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=saishf/Kuro-Lotus-10.7B 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: 66.11 name: accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=saishf/Kuro-Lotus-10.7B name: Open LLM Leaderboard

merge

This is a merge of pre-trained language models created using mergekit.

Merge Details

Merge Method

This model was merged using the SLERP merge method.

Models Merged

The following models were included in the merge:

Configuration

The following YAML configuration was used to produce this model:

yaml

slices:
  - sources:
      - model: Himitsui/KuroMitsu-11B
        layer_range: [0, 48]
      - model: BlueNipples/SnowLotus-v2-10.7B
        layer_range: [0, 48]
merge_method: slerp
base_model: Himitsui/KuroMitsu-11B
parameters:
  t:
    - filter: self_attn
      value: [0.6, 0.7, 0.8, 0.9, 1]
    - filter: mlp
      value: [0.4, 0.3, 0.2, 0.1, 0]
    - value: 0.5
dtype: bfloat16

Open LLM Leaderboard Evaluation Results

Detailed results can be found here

Metric	Value
Avg.	71.90
AI2 Reasoning Challenge (25-Shot)	68.69
HellaSwag (10-Shot)	87.51
MMLU (5-Shot)	66.64
TruthfulQA (0-shot)	58.27
Winogrande (5-shot)	84.21
GSM8k (5-shot)	66.11

RichardErkhov/saishf_-_Kuro-Lotus-10.7B-gguf