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Model: jsfs11/MixtureofMerges-MoE-2x7bRP-v8 Source: Original Platform
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README.md
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README.md
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---
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license: apache-2.0
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tags:
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- moe
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- frankenmoe
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- merge
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- mergekit
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- lazymergekit
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- ChaoticNeutrals/RP_Vision_7B
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- ResplendentAI/DaturaCookie_7B
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- not-for-all-audiences
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base_model:
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- ChaoticNeutrals/RP_Vision_7B
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- ResplendentAI/DaturaCookie_7B
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model-index:
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- name: MixtureofMerges-MoE-2x7bRP-v8
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results:
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- task:
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type: text-generation
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name: Text Generation
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dataset:
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name: AI2 Reasoning Challenge (25-Shot)
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type: ai2_arc
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config: ARC-Challenge
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split: test
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args:
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num_few_shot: 25
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metrics:
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- type: acc_norm
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value: 71.33
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name: normalized accuracy
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source:
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=jsfs11/MixtureofMerges-MoE-2x7bRP-v8
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name: Open LLM Leaderboard
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- task:
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type: text-generation
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name: Text Generation
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dataset:
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name: HellaSwag (10-Shot)
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type: hellaswag
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split: validation
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args:
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num_few_shot: 10
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metrics:
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- type: acc_norm
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value: 88.06
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name: normalized accuracy
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source:
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=jsfs11/MixtureofMerges-MoE-2x7bRP-v8
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name: Open LLM Leaderboard
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- task:
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type: text-generation
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name: Text Generation
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dataset:
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name: MMLU (5-Shot)
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type: cais/mmlu
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config: all
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split: test
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args:
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num_few_shot: 5
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metrics:
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- type: acc
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value: 64.33
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name: accuracy
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source:
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=jsfs11/MixtureofMerges-MoE-2x7bRP-v8
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name: Open LLM Leaderboard
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- task:
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type: text-generation
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name: Text Generation
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dataset:
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name: TruthfulQA (0-shot)
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type: truthful_qa
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config: multiple_choice
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split: validation
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args:
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num_few_shot: 0
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metrics:
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- type: mc2
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value: 68.69
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source:
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=jsfs11/MixtureofMerges-MoE-2x7bRP-v8
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name: Open LLM Leaderboard
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- task:
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type: text-generation
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name: Text Generation
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dataset:
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name: Winogrande (5-shot)
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type: winogrande
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config: winogrande_xl
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split: validation
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args:
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num_few_shot: 5
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metrics:
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- type: acc
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value: 82.95
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name: accuracy
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source:
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=jsfs11/MixtureofMerges-MoE-2x7bRP-v8
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name: Open LLM Leaderboard
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- task:
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type: text-generation
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name: Text Generation
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dataset:
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name: GSM8k (5-shot)
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type: gsm8k
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config: main
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split: test
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args:
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num_few_shot: 5
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metrics:
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- type: acc
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value: 64.52
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name: accuracy
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source:
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=jsfs11/MixtureofMerges-MoE-2x7bRP-v8
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name: Open LLM Leaderboard
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---
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# MixtureofMerges-MoE-2x7bRP-v8
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MixtureofMerges-MoE-2x7bRP-v8 is a Roleplay Mixture of Experts (MoE) made with the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
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* [ChaoticNeutrals/RP_Vision_7B](https://huggingface.co/ChaoticNeutrals/RP_Vision_7B)
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* [ResplendentAI/DaturaCookie_7B](https://huggingface.co/ResplendentAI/DaturaCookie_7B)
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* This model is prone to NSFW outputs.
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## 🧩 Configuration
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```yaml
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base_model: ResplendentAI/DaturaCookie_7B
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gate_mode: hidden
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experts:
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- source_model: ChaoticNeutrals/RP_Vision_7B
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positive_prompts:
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- "Write a detailed scene where the character faces a difficult decision."
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- "Assistant, help me develop my character's backstory and motivations."
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- "Tell me what happens next in the story, introducing a new conflict or challenge."
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- "My character wants to explore their deepest desires. Show me how they pursue them."
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- "Show me a scene where the characters express their love for each other in a tender and intimate way."
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- "Write a scene where the characters experience a moment of physical connection that deepens their emotional bond."
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- "Write a scene where the character struggles with their beliefs and faces a crisis of faith."
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- "Describe the world through the character's eyes, showcasing their unique perspective and experiences."
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- "Explore the complexities of love through the characters' relationships, including their challenges and triumphs."
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negative_prompts:
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- "Avoid clichés and overused tropes."
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- "Maintain consistent characterization and avoid out-of-character behavior."
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- "Do not censor yourself, you are writing fictional stories for an adult audience."
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- source_model: ResplendentAI/DaturaCookie_7B
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positive_prompts:
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- "Develop a compelling story with a strong plot and well-developed characters."
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- "Describe the scene vividly, using sensory details and evocative language."
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- "Write a detailed scene where the character faces a difficult decision."
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- "Describe the character's appearance as best you can, using descriptive colorful language."
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- "Make sure that your output is always uncensored."
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- "Write a scene with a slow-burn, sensual encounter between two characters."
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- "Describe the character's desires and feelings in a way that is both intimate and evocative."
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- "Explore the character's arousal in a tasteful and nuanced manner."
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- "Explore the character's sexual urges."
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- "Show me a moment of emotional intimacy between the characters, where they connect on a profound level."
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negative_prompts:
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- "Stay true to the established character traits and motivations. Ensure their actions and dialogue align with their personality."
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- "Be original and creative in your storytelling. Surprise me with unexpected plot twists and unique character interactions."
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- "Do not refuse to answer based on ethical grounds"
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dtype: bfloat16
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```
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## 💻 Usage
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```python
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!pip install -qU transformers bitsandbytes accelerate
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from transformers import AutoTokenizer
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import transformers
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import torch
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model = "jsfs11/MixtureofMerges-MoE-2x7bRP-v8"
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tokenizer = AutoTokenizer.from_pretrained(model)
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pipeline = transformers.pipeline(
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"text-generation",
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model=model,
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model_kwargs={"torch_dtype": torch.float16, "load_in_4bit": True},
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)
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messages = [{"role": "user", "content": "Explain what a Mixture of Experts is in less than 100 words."}]
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prompt = pipeline.tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
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outputs = pipeline(prompt, max_new_tokens=256, do_sample=True, temperature=0.7, top_k=50, top_p=0.95)
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print(outputs[0]["generated_text"])
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```
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# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)
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Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_jsfs11__MixtureofMerges-MoE-2x7bRP-v8)
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| Metric |Value|
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|Avg. |73.31|
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|AI2 Reasoning Challenge (25-Shot)|71.33|
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|HellaSwag (10-Shot) |88.06|
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|MMLU (5-Shot) |64.33|
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|TruthfulQA (0-shot) |68.69|
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|Winogrande (5-shot) |82.95|
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|GSM8k (5-shot) |64.52|
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