RichardErkhov/ResplendentAI_-_Paradigm_7B-gguf

Quantization made by Richard Erkhov.

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Paradigm_7B - GGUF

• Model creator: https://huggingface.co/ResplendentAI/
• Original model: https://huggingface.co/ResplendentAI/Paradigm_7B/

Name	Quant method	Size
Paradigm_7B.Q2_K.gguf	Q2_K	2.53GB
Paradigm_7B.IQ3_XS.gguf	IQ3_XS	2.81GB
Paradigm_7B.IQ3_S.gguf	IQ3_S	2.96GB
Paradigm_7B.Q3_K_S.gguf	Q3_K_S	2.95GB
Paradigm_7B.IQ3_M.gguf	IQ3_M	3.06GB
Paradigm_7B.Q3_K.gguf	Q3_K	3.28GB
Paradigm_7B.Q3_K_M.gguf	Q3_K_M	3.28GB
Paradigm_7B.Q3_K_L.gguf	Q3_K_L	3.56GB
Paradigm_7B.IQ4_XS.gguf	IQ4_XS	3.67GB
Paradigm_7B.Q4_0.gguf	Q4_0	3.83GB
Paradigm_7B.IQ4_NL.gguf	IQ4_NL	3.87GB
Paradigm_7B.Q4_K_S.gguf	Q4_K_S	3.86GB
Paradigm_7B.Q4_K.gguf	Q4_K	4.07GB
Paradigm_7B.Q4_K_M.gguf	Q4_K_M	4.07GB
Paradigm_7B.Q4_1.gguf	Q4_1	4.24GB
Paradigm_7B.Q5_0.gguf	Q5_0	4.65GB
Paradigm_7B.Q5_K_S.gguf	Q5_K_S	4.65GB
Paradigm_7B.Q5_K.gguf	Q5_K	4.78GB
Paradigm_7B.Q5_K_M.gguf	Q5_K_M	4.78GB
Paradigm_7B.Q5_1.gguf	Q5_1	5.07GB
Paradigm_7B.Q6_K.gguf	Q6_K	5.53GB
Paradigm_7B.Q8_0.gguf	Q8_0	7.17GB

Original model description:

language: - en license: cc-by-sa-4.0 library_name: transformers tags: - mergekit - merge base_model: - liminerity/Multiverse-Experiment-slerp-7b - jeiku/Alpaca_NSFW_Shuffled_Mistral - ResplendentAI/Datura_7B - ChaoticNeutrals/Eris_Remix_7B datasets: - ResplendentAI/Alpaca_NSFW_Shuffled - unalignment/toxic-dpo-v0.2 model-index: - name: Paradigm_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: 73.63 name: normalized accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=ResplendentAI/Paradigm_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: 88.66 name: normalized accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=ResplendentAI/Paradigm_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: 64.02 name: accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=ResplendentAI/Paradigm_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: 75.19 source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=ResplendentAI/Paradigm_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: 84.53 name: accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=ResplendentAI/Paradigm_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: 66.79 name: accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=ResplendentAI/Paradigm_7B name: Open LLM Leaderboard

Paradigm

An incredibly effective and intelligent RP model designed to be the best bot you've ever used. I hope you like it!

GGUF available here: https://huggingface.co/Lewdiculous/Paradigm_7B-GGUF-IQ-Imatrix

Open LLM Leaderboard Evaluation Results

Detailed results can be found here

Metric	Value
Avg.	75.47
AI2 Reasoning Challenge (25-Shot)	73.63
HellaSwag (10-Shot)	88.66
MMLU (5-Shot)	64.02
TruthfulQA (0-shot)	75.19
Winogrande (5-shot)	84.53
GSM8k (5-shot)	66.79

Configuration

The following YAML configuration was used to produce this model:

merge_method: dare_ties
base_model: ChaoticNeutrals/Eris_Remix_7B
parameters:
  normalize: true
models:
  - model: ChaoticNeutrals/Eris_Remix_7B
    parameters:
      weight: 1
  - model: ResplendentAI/Datura_7B
    parameters:
      weight: 1
  - model: liminerity/Multiverse-Experiment-slerp-7b+jeiku/Alpaca_NSFW_Shuffled_Mistral
    parameters:
      weight: 0.33
dtype: float16

Open LLM Leaderboard Evaluation Results

Detailed results can be found here

Metric	Value
Avg.	75.47
AI2 Reasoning Challenge (25-Shot)	73.63
HellaSwag (10-Shot)	88.66
MMLU (5-Shot)	64.02
TruthfulQA (0-shot)	75.19
Winogrande (5-shot)	84.53
GSM8k (5-shot)	66.79