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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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- merge |
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- deepseek-ai/deepseek-coder-6.7b-instruct |
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- ise-uiuc/Magicoder-S-CL-7B |
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- WizardLM/WizardMath-7B-V1.0 |
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- WizardLM/WizardCoder-Python-7B-V1.0 |
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model-index: |
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- name: Magician-MoE-4x7B |
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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: 28.24 |
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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=FelixChao/Magician-MoE-4x7B |
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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: 30.06 |
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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=FelixChao/Magician-MoE-4x7B |
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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: 24.67 |
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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=FelixChao/Magician-MoE-4x7B |
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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: 0.0 |
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source: |
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=FelixChao/Magician-MoE-4x7B |
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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: 49.88 |
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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=FelixChao/Magician-MoE-4x7B |
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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: 0.0 |
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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=FelixChao/Magician-MoE-4x7B |
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name: Open LLM Leaderboard |
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--- |
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# Magician-MoE-4x7B |
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Magician-MoE-4x7B is a Mixure of Experts (MoE) made with the following models: |
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* [deepseek-ai/deepseek-coder-6.7b-instruct](https://huggingface.co/deepseek-ai/deepseek-coder-6.7b-instruct) |
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* [ise-uiuc/Magicoder-S-CL-7B](https://huggingface.co/ise-uiuc/Magicoder-S-CL-7B) |
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* [WizardLM/WizardMath-7B-V1.0](https://huggingface.co/WizardLM/WizardMath-7B-V1.0) |
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* [WizardLM/WizardCoder-Python-7B-V1.0](https://huggingface.co/WizardLM/WizardCoder-Python-7B-V1.0) |
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## 🧩 Configuration |
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```yaml |
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base_model: ise-uiuc/Magicoder-S-CL-7B |
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gate_mode: cheap_embed |
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experts: |
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- source_model: deepseek-ai/deepseek-coder-6.7b-instruct |
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positive_prompts: ["You are an AI coder","coding","Java expert"] |
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- source_model: ise-uiuc/Magicoder-S-CL-7B |
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positive_prompts: ["You are an AI programmer","programming","C++ expert"] |
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- source_model: WizardLM/WizardMath-7B-V1.0 |
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positive_prompts: ["Math problem solving","Think step by step","Math expert"] |
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- source_model: WizardLM/WizardCoder-Python-7B-V1.0 |
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positive_prompts: ["Great at Deep learning","Algorithm and Data Structure","Python expert"] |
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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 = "FelixChao/Magician-MoE-4x7B" |
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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_FelixChao__Magician-MoE-4x7B) |
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| Metric |Value| |
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|---------------------------------|----:| |
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|Avg. |22.14| |
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|AI2 Reasoning Challenge (25-Shot)|28.24| |
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|HellaSwag (10-Shot) |30.06| |
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|MMLU (5-Shot) |24.67| |
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|TruthfulQA (0-shot) | 0.00| |
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|Winogrande (5-shot) |49.88| |
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|GSM8k (5-shot) | 0.00| |
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