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--- |
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license: apache-2.0 |
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tags: |
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- merge |
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- mergekit |
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- lazymergekit |
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- eren23/slerp-test-turdus-beagle |
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- udkai/Turdus |
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- 222gate/BrurryDog-7b-v0.1 |
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base_model: |
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- eren23/slerp-test-turdus-beagle |
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- udkai/Turdus |
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- 222gate/BrurryDog-7b-v0.1 |
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model-index: |
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- name: bleagle-7b-v0.1-test |
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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: 72.27 |
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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=222gate/bleagle-7b-v0.1-test |
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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: 88.24 |
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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=222gate/bleagle-7b-v0.1-test |
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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: 64.37 |
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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=222gate/bleagle-7b-v0.1-test |
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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: 67.83 |
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source: |
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=222gate/bleagle-7b-v0.1-test |
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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: 85.48 |
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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=222gate/bleagle-7b-v0.1-test |
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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: 65.13 |
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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=222gate/bleagle-7b-v0.1-test |
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name: Open LLM Leaderboard |
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--- |
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# bleagle-7b-v0.1-test |
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bleagle-7b-v0.1-test is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing): |
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* [eren23/slerp-test-turdus-beagle](https://huggingface.co/eren23/slerp-test-turdus-beagle) |
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* [udkai/Turdus](https://huggingface.co/udkai/Turdus) |
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* [222gate/BrurryDog-7b-v0.1](https://huggingface.co/222gate/BrurryDog-7b-v0.1) |
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## 🧩 Configuration |
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```yaml |
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models: |
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- model: eren23/slerp-test-turdus-beagle |
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parameters: |
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density: [1, 0.7, 0.1] # density gradient |
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weight: 1.0 |
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- model: udkai/Turdus |
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parameters: |
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density: 0.5 |
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weight: [0, 0.3, 0.7, 1] # weight gradient |
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- model: 222gate/BrurryDog-7b-v0.1 |
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parameters: |
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density: 0.33 |
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weight: |
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- filter: mlp |
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value: 0.5 |
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- value: 0 |
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merge_method: dare_ties |
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base_model: leveldevai/MarcBeagle-7B |
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parameters: |
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normalize: true |
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int8_mask: true |
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dtype: bfloat16 |
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embed_slerp: true |
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tokenizer_source: union |
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``` |
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## 💻 Usage |
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```python |
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!pip install -qU transformers 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 = "222gate/bleagle-7b-v0.1-test" |
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messages = [{"role": "user", "content": "What is a large language model?"}] |
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tokenizer = AutoTokenizer.from_pretrained(model) |
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prompt = tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True) |
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pipeline = transformers.pipeline( |
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"text-generation", |
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model=model, |
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torch_dtype=torch.float16, |
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device_map="auto", |
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) |
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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_222gate__bleagle-7b-v0.1-test) |
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| Metric |Value| |
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|---------------------------------|----:| |
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|Avg. |73.89| |
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|AI2 Reasoning Challenge (25-Shot)|72.27| |
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|HellaSwag (10-Shot) |88.24| |
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|MMLU (5-Shot) |64.37| |
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|TruthfulQA (0-shot) |67.83| |
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|Winogrande (5-shot) |85.48| |
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|GSM8k (5-shot) |65.13| |
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