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RichardErkhov/
nbeerbower_-_bruphin-epsilon-gguf

Name: nbeerbower_-_bruphin-epsilon-gguf
Availability: InStock

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bruphin-epsilon - GGUF

Model creator: https://huggingface.co/nbeerbower/
Original model: https://huggingface.co/nbeerbower/bruphin-epsilon/

Name	Quant method	Size
bruphin-epsilon.Q2_K.gguf	Q2_K	2.53GB
bruphin-epsilon.IQ3_XS.gguf	IQ3_XS	2.81GB
bruphin-epsilon.IQ3_S.gguf	IQ3_S	2.96GB
bruphin-epsilon.Q3_K_S.gguf	Q3_K_S	2.95GB
bruphin-epsilon.IQ3_M.gguf	IQ3_M	3.06GB
bruphin-epsilon.Q3_K.gguf	Q3_K	3.28GB
bruphin-epsilon.Q3_K_M.gguf	Q3_K_M	3.28GB
bruphin-epsilon.Q3_K_L.gguf	Q3_K_L	3.56GB
bruphin-epsilon.IQ4_XS.gguf	IQ4_XS	3.67GB
bruphin-epsilon.Q4_0.gguf	Q4_0	3.83GB
bruphin-epsilon.IQ4_NL.gguf	IQ4_NL	3.87GB
bruphin-epsilon.Q4_K_S.gguf	Q4_K_S	3.86GB
bruphin-epsilon.Q4_K.gguf	Q4_K	4.07GB
bruphin-epsilon.Q4_K_M.gguf	Q4_K_M	4.07GB
bruphin-epsilon.Q4_1.gguf	Q4_1	4.24GB
bruphin-epsilon.Q5_0.gguf	Q5_0	4.65GB
bruphin-epsilon.Q5_K_S.gguf	Q5_K_S	4.65GB
bruphin-epsilon.Q5_K.gguf	Q5_K	4.78GB
bruphin-epsilon.Q5_K_M.gguf	Q5_K_M	4.78GB
bruphin-epsilon.Q5_1.gguf	Q5_1	5.07GB
bruphin-epsilon.Q6_K.gguf	Q6_K	5.53GB
bruphin-epsilon.Q8_0.gguf	Q8_0	7.17GB

Original model description:

license: apache-2.0 tags:

mergekit
merge base_model:
BarryFutureman/WildMarcoroni-Variant1-7B
nbeerbower/bruphin-delta model-index:
name: bruphin-epsilon 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: 72.1 name: normalized accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=nbeerbower/bruphin-epsilon 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: 88.09 name: normalized accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=nbeerbower/bruphin-epsilon 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: 65.04 name: accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=nbeerbower/bruphin-epsilon 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: 66.95 source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=nbeerbower/bruphin-epsilon 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: 83.82 name: accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=nbeerbower/bruphin-epsilon 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: 70.51 name: accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=nbeerbower/bruphin-epsilon name: Open LLM Leaderboard

bruphin-epsilon

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

models:
  - model: nbeerbower/bruphin-delta
    layer_range: [0, 32]
  - model: BarryFutureman/WildMarcoroni-Variant1-7B
    layer_range: [0, 32]
merge_method: slerp
base_model: BarryFutureman/WildMarcoroni-Variant1-7B
parameters:
  t:
    - filter: self_attn
      value: [0, 0.5, 0.3, 0.7, 1]
    - filter: mlp
      value: [1, 0.5, 0.7, 0.3, 0]
    - value: 0.5
dtype: bfloat16

Open LLM Leaderboard Evaluation Results

Detailed results can be found here

Metric	Value
Avg.	74.42
AI2 Reasoning Challenge (25-Shot)	72.10
HellaSwag (10-Shot)	88.09
MMLU (5-Shot)	65.04
TruthfulQA (0-shot)	66.95
Winogrande (5-shot)	83.82
GSM8k (5-shot)	70.51

RichardErkhov/nbeerbower_-_bruphin-epsilon-gguf