69 lines
1.9 KiB
Markdown
69 lines
1.9 KiB
Markdown
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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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