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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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- mistral |
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- 7b |
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- lazymergekit |
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- mistralai/Mistral-7B-Instruct-v0.2 |
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- mlabonne/NeuralHermes-2.5-Mistral-7B |
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--- |
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# NeuralHermes-2.5-Mistral-7B-Mistral-7B-Instruct-v0.2-slerp |
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NeuralHermes-2.5-Mistral-7B-Mistral-7B-Instruct-v0.2-slerp is a merge of the following models: |
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* [mistralai/Mistral-7B-Instruct-v0.2](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2) |
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* [mlabonne/NeuralHermes-2.5-Mistral-7B](https://huggingface.co/mlabonne/NeuralHermes-2.5-Mistral-7B) |
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## Eval |
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``` |
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| Groups |Version|Filter|n-shot| Metric | Value | |Stderr| |
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|------------------|-------|------|-----:|-----------|------:|---|-----:| |
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|ai2_arc |N/A |none | 0|acc | 0.7508|± |0.0419| |
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| | |none | 0|acc_norm | 0.7393|± |0.0354| |
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|mmlu |N/A |none | 0|acc | 0.6082|± |0.1381| |
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| - humanities |N/A |none | 0|acc | 0.5545|± |0.1585| |
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| - other |N/A |none | 0|acc | 0.6823|± |0.1122| |
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| - social_sciences|N/A |none | 0|acc | 0.7062|± |0.0825| |
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| - stem |N/A |none | 0|acc | 0.5195|± |0.1231| |
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|truthfulqa |N/A |none | 0|acc | 0.5058|± |0.0023| |
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| | |none | 0|bleu_max |25.2659|± |0.7944| |
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| | |none | 0|bleu_acc | 0.5557|± |0.0174| |
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| | |none | 0|bleu_diff | 4.5134|± |0.7505| |
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| | |none | 0|rouge1_max |51.5877|± |0.8677| |
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| | |none | 0|rouge1_acc | 0.5496|± |0.0174| |
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| | |none | 0|rouge1_diff| 6.8850|± |1.0155| |
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| | |none | 0|rouge2_max |36.0848|± |1.0385| |
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| | |none | 0|rouge2_acc | 0.4700|± |0.0175| |
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| | |none | 0|rouge2_diff| 5.8893|± |1.1296| |
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| | |none | 0|rougeL_max |48.4591|± |0.8901| |
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| | |none | 0|rougeL_acc | 0.5496|± |0.0174| |
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| | |none | 0|rougeL_diff| 6.5791|± |1.0249| |
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``` |
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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: mistralai/Mistral-7B-Instruct-v0.2 |
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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: mistralai/Mistral-7B-Instruct-v0.2 |
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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 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 = "MaziyarPanahi/NeuralHermes-2.5-Mistral-7B-Mistral-7B-Instruct-v0.2-slerp" |
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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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``` |
