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RichardErkhov/
Weyaxi_-_Bagel-Hermes-34B-Slerp-gguf

Name: Weyaxi_-_Bagel-Hermes-34B-Slerp-gguf
Availability: InStock

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Bagel-Hermes-34B-Slerp - GGUF

Model creator: https://huggingface.co/Weyaxi/
Original model: https://huggingface.co/Weyaxi/Bagel-Hermes-34B-Slerp/

Name	Quant method	Size
Bagel-Hermes-34B-Slerp.Q2_K.gguf	Q2_K	11.94GB
Bagel-Hermes-34B-Slerp.IQ3_XS.gguf	IQ3_XS	13.26GB
Bagel-Hermes-34B-Slerp.IQ3_S.gguf	IQ3_S	13.99GB
Bagel-Hermes-34B-Slerp.Q3_K_S.gguf	Q3_K_S	13.93GB
Bagel-Hermes-34B-Slerp.IQ3_M.gguf	IQ3_M	14.5GB
Bagel-Hermes-34B-Slerp.Q3_K.gguf	Q3_K	15.51GB
Bagel-Hermes-34B-Slerp.Q3_K_M.gguf	Q3_K_M	15.51GB
Bagel-Hermes-34B-Slerp.Q3_K_L.gguf	Q3_K_L	16.89GB
Bagel-Hermes-34B-Slerp.IQ4_XS.gguf	IQ4_XS	17.36GB
Bagel-Hermes-34B-Slerp.Q4_0.gguf	Q4_0	18.13GB
Bagel-Hermes-34B-Slerp.IQ4_NL.gguf	IQ4_NL	18.3GB
Bagel-Hermes-34B-Slerp.Q4_K_S.gguf	Q4_K_S	18.25GB
Bagel-Hermes-34B-Slerp.Q4_K.gguf	Q4_K	19.24GB
Bagel-Hermes-34B-Slerp.Q4_K_M.gguf	Q4_K_M	19.24GB
Bagel-Hermes-34B-Slerp.Q4_1.gguf	Q4_1	20.1GB
Bagel-Hermes-34B-Slerp.Q5_0.gguf	Q5_0	22.08GB
Bagel-Hermes-34B-Slerp.Q5_K_S.gguf	Q5_K_S	22.08GB
Bagel-Hermes-34B-Slerp.Q5_K.gguf	Q5_K	22.65GB
Bagel-Hermes-34B-Slerp.Q5_K_M.gguf	Q5_K_M	22.65GB
Bagel-Hermes-34B-Slerp.Q5_1.gguf	Q5_1	24.05GB
Bagel-Hermes-34B-Slerp.Q6_K.gguf	Q6_K	26.28GB
Bagel-Hermes-34B-Slerp.Q8_0.gguf	Q8_0	34.03GB

Original model description:

tags:

mergekit
merge model-index:
name: Bagel-Hermes-34B-Slerp 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: 70.73 name: normalized accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Weyaxi/Bagel-Hermes-34B-Slerp 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: 85.68 name: normalized accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Weyaxi/Bagel-Hermes-34B-Slerp 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: 77.29 name: accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Weyaxi/Bagel-Hermes-34B-Slerp 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: 67.09 source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Weyaxi/Bagel-Hermes-34B-Slerp 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: 84.37 name: accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Weyaxi/Bagel-Hermes-34B-Slerp 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: 66.26 name: accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Weyaxi/Bagel-Hermes-34B-Slerp name: Open LLM Leaderboard license: apache-2.0

Bagel-Hermes-34B-Slerp

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:

Nous-Hermes-2-Yi-34B
bagel-dpo-34b-v0.2
nontoxic-bagel-34b-v0.2

Configuration

The following YAML configuration was used to produce this model:

yaml

slices:
  - sources:
      - model: bagel-dpo-34b-v0.2
        layer_range: [0, 60]
      - model: Nous-Hermes-2-Yi-34B
        layer_range: [0, 60]

merge_method: slerp
base_model: nontoxic-bagel-34b-v0.2

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
tokenizer_source: union
dtype: bfloat16

Open LLM Leaderboard Evaluation Results

Detailed results can be found here

Metric	Value
Avg.	75.24
AI2 Reasoning Challenge (25-Shot)	70.73
HellaSwag (10-Shot)	85.68
MMLU (5-Shot)	77.29
TruthfulQA (0-shot)	67.09
Winogrande (5-shot)	84.37
GSM8k (5-shot)	66.26

RichardErkhov/Weyaxi_-_Bagel-Hermes-34B-Slerp-gguf