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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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--- |
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# mistral-7b-merged-slerp |
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mistral-7b-merged-slerp is a merge of the following models: |
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## 🧩 Configuration |
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```yaml |
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slices: |
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- sources: |
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- model: OpenPipe/mistral-ft-optimized-1218 |
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layer_range: [0, 32] |
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- model: mlabonne/NeuralHermes-2.5-Mistral-7B |
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layer_range: [0, 32] |
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merge_method: slerp |
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base_model: OpenPipe/mistral-ft-optimized-1218 |
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parameters: |
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t: |
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- filter: self_attn |
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value: [0, 0.5, 0.3, 0.7, 1] |
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- filter: mlp |
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value: [1, 0.5, 0.7, 0.3, 0] |
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- value: 0.5 |
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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 = "mychen76/mistral-7b-merged-slerp" |
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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": "why the sky is blue."}] |
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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_mychen76__mistral-7b-merged-slerp) |
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| Metric |Value| |
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|---------------------------------|----:| |
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|Avg. |71.09| |
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|AI2 Reasoning Challenge (25-Shot)|67.75| |
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|HellaSwag (10-Shot) |86.17| |
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|MMLU (5-Shot) |64.05| |
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|TruthfulQA (0-shot) |59.85| |
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|Winogrande (5-shot) |80.19| |
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|GSM8k (5-shot) |68.54| |
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