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RichardErkhov/ResplendentAI_-_Flora_7B-gguf

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

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Flora_7B - GGUF

  • —Model creator: https://huggingface.co/ResplendentAI/
  • —Original model: https://huggingface.co/ResplendentAI/Flora_7B/

Original model description: --- language:

  • —en license: cc-by-sa-4.0 library_name: transformers tags:
  • —finetune base_model:
  • —jeiku/FloraBase
  • —jeiku/SyntheticSoul1kMistral128 datasets:
  • —ResplendentAI/SyntheticSoul1k model-index:
  • —name: Flora_7B 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: 72.1 name: normalized accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/openllmleaderboard?query=ResplendentAI/Flora7B 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: 88.31 name: normalized accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/openllmleaderboard?query=ResplendentAI/Flora7B 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: 64.16 name: accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/openllmleaderboard?query=ResplendentAI/Flora_7B 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: 71.19 source: url: https://huggingface.co/spaces/HuggingFaceH4/openllmleaderboard?query=ResplendentAI/Flora_7B 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: 84.45 name: accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/openllmleaderboard?query=ResplendentAI/Flora_7B 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: 65.35 name: accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/openllmleaderboard?query=ResplendentAI/Flora_7B name: Open LLM Leaderboard ---

Flora

image/jpeg

Quants available here:

https://huggingface.co/bartowski/Flora_7B-GGUF

https://huggingface.co/bartowski/Flora_7B-exl2

https://huggingface.co/solidrust/Flora-7B-AWQ

Configuration

The following YAML configuration was used to produce this model:

yaml
merge_method: linear
models:
  - model: jeiku/FloraBase+jeiku/Synthetic_Soul_1k_Mistral_128
    parameters:
      weight: 1       
dtype: float16

Open LLM Leaderboard Evaluation Results

Detailed results can be found here

MetricValue
Avg.74.26
AI2 Reasoning Challenge (25-Shot)72.10
HellaSwag (10-Shot)88.31
MMLU (5-Shot)64.16
TruthfulQA (0-shot)71.19
Winogrande (5-shot)84.45
GSM8k (5-shot)65.35