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RichardErkhov/NExtNewChattingAI_-_shark_tank_ai_7b_v2-gguf

sourceHugging Faceupdated 2y agoView on Hugging Face
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Quantization made by Richard Erkhov.

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sharktankai7bv2 - GGUF

  • —Model creator: https://huggingface.co/NExtNewChattingAI/
  • —Original model: https://huggingface.co/NExtNewChattingAI/sharktankai7bv2/

Original model description: --- language:

  • —en license: cc-by-nc-4.0 model-index:
  • —name: sharktankai7bv2 results:
  • —task: type: text-generation name: Text Generation dataset: name: AI2 Reasoning Challenge (25-Shot) type: ai2arc config: ARC-Challenge split: test args: numfew_shot: 25 metrics:
  • —type: accnorm value: 67.75 name: normalized accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/openllmleaderboard?query=NExtNewChattingAI/sharktankai7b_v2 name: Open LLM Leaderboard
  • —task: type: text-generation name: Text Generation dataset: name: HellaSwag (10-Shot) type: hellaswag split: validation args: numfewshot: 10 metrics:
  • —type: accnorm value: 87.06 name: normalized accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/openllmleaderboard?query=NExtNewChattingAI/sharktankai7b_v2 name: Open LLM Leaderboard
  • —task: type: text-generation name: Text Generation dataset: name: MMLU (5-Shot) type: cais/mmlu config: all split: test args: numfewshot: 5 metrics:
  • —type: acc value: 58.79 name: accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/openllmleaderboard?query=NExtNewChattingAI/sharktankai7bv2 name: Open LLM Leaderboard
  • —task: type: text-generation name: Text Generation dataset: name: TruthfulQA (0-shot) type: truthfulqa config: multiplechoice split: validation args: numfewshot: 0 metrics:
  • —type: mc2 value: 62.15 source: url: https://huggingface.co/spaces/HuggingFaceH4/openllmleaderboard?query=NExtNewChattingAI/sharktankai7bv2 name: Open LLM Leaderboard
  • —task: type: text-generation name: Text Generation dataset: name: Winogrande (5-shot) type: winogrande config: winograndexl split: validation args: numfew_shot: 5 metrics:
  • —type: acc value: 78.45 name: accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/openllmleaderboard?query=NExtNewChattingAI/sharktankai7bv2 name: Open LLM Leaderboard
  • —task: type: text-generation name: Text Generation dataset: name: GSM8k (5-shot) type: gsm8k config: main split: test args: numfewshot: 5 metrics:
  • —type: acc value: 45.11 name: accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/openllmleaderboard?query=NExtNewChattingAI/sharktankai7bv2 name: Open LLM Leaderboard --- This model is based on https://huggingface.co/AIDC-ai-business/Marcoroni-7B-v3 trained on internal data. --- license: cc-by-nc-4.0 language:
  • —en --- Chatbot is a highly advanced artificial intelligence designed to provide you with personalized assistance and support. With its natural language processing capabilities, it can understand and respond to a wide range of queries and requests, making it a valuable tool for both personal and professional use.

The chatbot is equipped with a vast knowledge base, allowing it to provide accurate and reliable information on a wide range of topics, from general knowledge to specific industry-related information. It can also perform tasks such as scheduling appointments, sending emails, and even ordering products online.

One of the standout features of this assistant chatbot is its ability to learn and adapt to your individual preferences and needs. Over time, it can become more personalized to your specific requirements, making it an even more valuable asset to your daily life.

The chatbot is also designed to be user-friendly and intuitive, with a simple and easy-to-use interface that allows you to interact with it in a natural and conversational way. Whether you're looking for information, need help with a task, or just want to chat, your assistant chatbot is always ready and available to assist you.

Open LLM Leaderboard Evaluation Results

Detailed results can be found here

MetricValue
Avg.66.55
AI2 Reasoning Challenge (25-Shot)67.75
HellaSwag (10-Shot)87.06
MMLU (5-Shot)58.79
TruthfulQA (0-shot)62.15
Winogrande (5-shot)78.45
GSM8k (5-shot)45.11