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Model: mychen76/mistral-7b-merged-ties
Source: Original Platform

README.md

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+---
+license: apache-2.0
+tags:
+- merge
+---
+
+# mistral-7b-merged-ties
+
+mistral-7b-merged-ties is a merge of the following models:
+
+
+## 🧩 Configuration
+
+```yaml
+models:
+    - model: mistralai/Mistral-7B-v0.1  
+    - model: OpenPipe/mistral-ft-optimized-1218
+      parameters:
+        density: 0.5  # density gradient
+        weight: 0.3
+    - model: mlabonne/NeuralHermes-2.5-Mistral-7B
+      parameters:
+        density: 0.5
+        weight: 0.3  # weight gradient
+merge_method: ties
+base_model: mistralai/Mistral-7B-v0.1
+parameters:
+  normalize: true
+dtype: bfloat16
+
+```
+## 💻 Usage
+```python
+!pip install -qU transformers bitsandbytes accelerate
+
+from transformers import AutoTokenizer
+import transformers
+import torch
+
+model = "mychen76/mistral-7b-merged-ties"
+
+tokenizer = AutoTokenizer.from_pretrained(model)
+pipeline = transformers.pipeline(
+    "text-generation",
+    model=model,
+    model_kwargs={"torch_dtype": torch.float16, "load_in_4bit": True},
+)
+
+messages = [{"role": "user", "content": "Why the sky is blue"}]
+prompt = pipeline.tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
+outputs = pipeline(prompt, max_new_tokens=256, do_sample=True, temperature=0.7, top_k=50, top_p=0.95)
+print(outputs[0]["generated_text"])
+```
+
+# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)
+Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_mychen76__mistral-7b-merged-ties)
+
+|             Metric              |Value|
+|---------------------------------|----:|
+|Avg.                             |71.37|
+|AI2 Reasoning Challenge (25-Shot)|67.92|
+|HellaSwag (10-Shot)              |85.93|
+|MMLU (5-Shot)                    |64.07|
+|TruthfulQA (0-shot)              |61.31|
+|Winogrande (5-shot)              |80.03|
+|GSM8k (5-shot)                   |68.54|