• Model creator: https://huggingface.co/TeeZee/
• Original model: https://huggingface.co/TeeZee/Xwin-LM-70B-V0.1_Limarpv3/

Original model description:

• merge
• not-for-all-audiences model-index:
• name: Xwin-LM-70B-V0.1_Limarpv3 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: 70.82 name: normalized accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=TeeZee/Xwin-LM-70B-V0.1_Limarpv3 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: 86.97 name: normalized accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=TeeZee/Xwin-LM-70B-V0.1_Limarpv3 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: 69.28 name: accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=TeeZee/Xwin-LM-70B-V0.1_Limarpv3 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: 57.15 source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=TeeZee/Xwin-LM-70B-V0.1_Limarpv3 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: 81.77 name: accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=TeeZee/Xwin-LM-70B-V0.1_Limarpv3 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: 48.98 name: accuracy source: url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=TeeZee/Xwin-LM-70B-V0.1_Limarpv3 name: Open LLM Leaderboard

---

Xwin-LM-70B + LimaRP Lora v3

Model Details

• Merge of Xwin-LM/Xwin-LM-70B-V0.1 and Doctor-Shotgun/limarpv3-llama2-70b-qlora
• The resulting model has approximately 70 billion parameters.

Results

• produces SFW nad NSFW content without issues, switches context seamlessly.
• retains all good qualities of original model with added benefits of LimaRP LORA

Open LLM Leaderboard Evaluation Results