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RichardErkhov/
giraffe176_-_Open_Hermes_Orca_Mistral-7B-gguf

Name: giraffe176_-_Open_Hermes_Orca_Mistral-7B-gguf
Availability: InStock

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Open_Hermes_Orca_Mistral-7B - GGUF

Model creator: https://huggingface.co/giraffe176/
Original model: https://huggingface.co/giraffe176/Open_Hermes_Orca_Mistral-7B/

Name	Quant method	Size
Open_Hermes_Orca_Mistral-7B.Q2_K.gguf	Q2_K	2.53GB
Open_Hermes_Orca_Mistral-7B.IQ3_XS.gguf	IQ3_XS	2.81GB
Open_Hermes_Orca_Mistral-7B.IQ3_S.gguf	IQ3_S	2.96GB
Open_Hermes_Orca_Mistral-7B.Q3_K_S.gguf	Q3_K_S	2.95GB
Open_Hermes_Orca_Mistral-7B.IQ3_M.gguf	IQ3_M	3.06GB
Open_Hermes_Orca_Mistral-7B.Q3_K.gguf	Q3_K	3.28GB
Open_Hermes_Orca_Mistral-7B.Q3_K_M.gguf	Q3_K_M	3.28GB
Open_Hermes_Orca_Mistral-7B.Q3_K_L.gguf	Q3_K_L	3.56GB
Open_Hermes_Orca_Mistral-7B.IQ4_XS.gguf	IQ4_XS	3.67GB
Open_Hermes_Orca_Mistral-7B.Q4_0.gguf	Q4_0	3.83GB
Open_Hermes_Orca_Mistral-7B.IQ4_NL.gguf	IQ4_NL	3.87GB
Open_Hermes_Orca_Mistral-7B.Q4_K_S.gguf	Q4_K_S	3.86GB
Open_Hermes_Orca_Mistral-7B.Q4_K.gguf	Q4_K	4.07GB
Open_Hermes_Orca_Mistral-7B.Q4_K_M.gguf	Q4_K_M	4.07GB
Open_Hermes_Orca_Mistral-7B.Q4_1.gguf	Q4_1	4.24GB
Open_Hermes_Orca_Mistral-7B.Q5_0.gguf	Q5_0	4.65GB
Open_Hermes_Orca_Mistral-7B.Q5_K_S.gguf	Q5_K_S	4.65GB
Open_Hermes_Orca_Mistral-7B.Q5_K.gguf	Q5_K	4.78GB
Open_Hermes_Orca_Mistral-7B.Q5_K_M.gguf	Q5_K_M	4.78GB
Open_Hermes_Orca_Mistral-7B.Q5_1.gguf	Q5_1	5.07GB
Open_Hermes_Orca_Mistral-7B.Q6_K.gguf	Q6_K	5.53GB
Open_Hermes_Orca_Mistral-7B.Q8_0.gguf	Q8_0	7.17GB

Original model description:

license: apache-2.0 library_name: transformers tags:

mergekit
merge base_model: [] model-index:
name: Open_Hermes_Orca_Mistral-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: 64.68 name: normalized accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=giraffe176/Open_Hermes_Orca_Mistral-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: 84.63 name: normalized accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=giraffe176/Open_Hermes_Orca_Mistral-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: 63.93 name: accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=giraffe176/Open_Hermes_Orca_Mistral-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: 53.34 source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=giraffe176/Open_Hermes_Orca_Mistral-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: 78.45 name: accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=giraffe176/Open_Hermes_Orca_Mistral-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: 56.18 name: accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=giraffe176/Open_Hermes_Orca_Mistral-7B name: Open LLM Leaderboard

.samplemodel

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

Merge Details

Merge Method

This model was merged using the task arithmetic merge method using teknium/OpenHermes-2.5-Mistral-7B as a base.

Models Merged

The following models were included in the merge:

Open-Orca/Mistral-7B-OpenOrca

Configuration

The following YAML configuration was used to produce this model:

yaml

models:
  - model: teknium/OpenHermes-2.5-Mistral-7B
    parameters:
      weight: 1.0
  - model: Open-Orca/Mistral-7B-OpenOrca
    parameters:
      weight: 0.6
merge_method: task_arithmetic
base_model: teknium/OpenHermes-2.5-Mistral-7B
dtype: float16

Open LLM Leaderboard Evaluation Results

Detailed results can be found here

Metric	Value
Avg.	66.87
AI2 Reasoning Challenge (25-Shot)	64.68
HellaSwag (10-Shot)	84.63
MMLU (5-Shot)	63.93
TruthfulQA (0-shot)	53.34
Winogrande (5-shot)	78.45
GSM8k (5-shot)	56.18

RichardErkhov/giraffe176_-_Open_Hermes_Orca_Mistral-7B-gguf