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RichardErkhov/Abhaykoul_-_Qwen1.5-0.5B-vortex-0.1-gguf

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

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Qwen1.5-0.5B-vortex-0.1 - GGUF

  • —Model creator: https://huggingface.co/Abhaykoul/
  • —Original model: https://huggingface.co/Abhaykoul/Qwen1.5-0.5B-vortex-0.1/

Original model description: --- language:

  • —en license: other datasets:
  • —OEvortex/vortex-mini
  • —yahma/alpaca-cleaned licensename: tongyi-qianwen-research licenselink: https://huggingface.co/Qwen/Qwen1.5-0.5B/blob/main/LICENSE pipeline_tag: text-generation model-index:
  • —name: Qwen1.5-0.5B-vortex-v2 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: 30.63 name: normalized accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/openllm_leaderboard?query=Abhaykoul/Qwen1.5-0.5B-vortex-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: 45.54 name: normalized accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/openllm_leaderboard?query=Abhaykoul/Qwen1.5-0.5B-vortex-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: 36.29 name: accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/openllmleaderboard?query=Abhaykoul/Qwen1.5-0.5B-vortex-v2 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: 44.29 source: url: https://huggingface.co/spaces/HuggingFaceH4/openllmleaderboard?query=Abhaykoul/Qwen1.5-0.5B-vortex-v2 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: 56.04 name: accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/openllmleaderboard?query=Abhaykoul/Qwen1.5-0.5B-vortex-v2 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: 5.91 name: accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/openllmleaderboard?query=Abhaykoul/Qwen1.5-0.5B-vortex-v2 name: Open LLM Leaderboard ---

Qwen1.5-0.5B-vortex-v2 model card

Qwen1.5-0.5B-vortex-v2 is a dealigned chat finetune of the original fantastic Qwen1.5-0.5B model by the Qwen team.

This model was trained on the Vortex mini dataset and alpaca-cleaned using axolotl for 4 epoch

Open LLM Leaderboard Evaluation Results

Detailed results can be found here

MetricValue
Avg.36.45
AI2 Reasoning Challenge (25-Shot)30.63
HellaSwag (10-Shot)45.54
MMLU (5-Shot)36.29
TruthfulQA (0-shot)44.29
Winogrande (5-shot)56.04
GSM8k (5-shot)5.91