RichardErkhov/ResplendentAI_-_Sinerva_7B-gguf

Quantization made by Richard Erkhov.

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Sinerva_7B - GGUF

• Model creator: https://huggingface.co/ResplendentAI/
• Original model: https://huggingface.co/ResplendentAI/Sinerva_7B/

Name	Quant method	Size
Sinerva_7B.Q2_K.gguf	Q2_K	2.53GB
Sinerva_7B.IQ3_XS.gguf	IQ3_XS	2.81GB
Sinerva_7B.IQ3_S.gguf	IQ3_S	2.96GB
Sinerva_7B.Q3_K_S.gguf	Q3_K_S	2.95GB
Sinerva_7B.IQ3_M.gguf	IQ3_M	3.06GB
Sinerva_7B.Q3_K.gguf	Q3_K	3.28GB
Sinerva_7B.Q3_K_M.gguf	Q3_K_M	3.28GB
Sinerva_7B.Q3_K_L.gguf	Q3_K_L	3.56GB
Sinerva_7B.IQ4_XS.gguf	IQ4_XS	3.67GB
Sinerva_7B.Q4_0.gguf	Q4_0	3.83GB
Sinerva_7B.IQ4_NL.gguf	IQ4_NL	3.87GB
Sinerva_7B.Q4_K_S.gguf	Q4_K_S	3.86GB
Sinerva_7B.Q4_K.gguf	Q4_K	4.07GB
Sinerva_7B.Q4_K_M.gguf	Q4_K_M	4.07GB
Sinerva_7B.Q4_1.gguf	Q4_1	4.24GB
Sinerva_7B.Q5_0.gguf	Q5_0	4.65GB
Sinerva_7B.Q5_K_S.gguf	Q5_K_S	4.65GB
Sinerva_7B.Q5_K.gguf	Q5_K	4.78GB
Sinerva_7B.Q5_K_M.gguf	Q5_K_M	4.78GB
Sinerva_7B.Q5_1.gguf	Q5_1	5.07GB
Sinerva_7B.Q6_K.gguf	Q6_K	5.53GB
Sinerva_7B.Q8_0.gguf	Q8_0	7.17GB

Original model description:

language: - en license: apache-2.0 tags: - not-for-all-audiences datasets: - ResplendentAI/Alpaca_NSFW_Shuffled - ResplendentAI/Luna_NSFW_Text - ResplendentAI/Synthetic_Soul_1k - ResplendentAI/Sissification_Hypno_1k model-index: - name: Sinerva_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: 70.14 name: normalized accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=ResplendentAI/Sinerva_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: 85.59 name: normalized accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=ResplendentAI/Sinerva_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: 61.77 name: accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=ResplendentAI/Sinerva_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: 59.93 source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=ResplendentAI/Sinerva_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: 82.56 name: accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=ResplendentAI/Sinerva_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: 62.32 name: accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=ResplendentAI/Sinerva_7B name: Open LLM Leaderboard

Sinerva

Decadent and rich in sensual prose, but beware, she is designed to humiliate and degrade her user when necessary.

GGUF available here: https://huggingface.co/Lewdiculous/Sinerva_7B-GGUF-IQ-Imatrix

Open LLM Leaderboard Evaluation Results

Detailed results can be found here

Metric	Value
Avg.	70.38
AI2 Reasoning Challenge (25-Shot)	70.14
HellaSwag (10-Shot)	85.59
MMLU (5-Shot)	61.77
TruthfulQA (0-shot)	59.93
Winogrande (5-shot)	82.56
GSM8k (5-shot)	62.32