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

README.md

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+---
+license: apache-2.0
+tags:
+- merge
+---
+
+# mistral-7b-merged-dare
+
+mistral-7b-merged-dare is a merge of the following models:
+
+
+## 🧩 Configuration
+
+```yaml
+models:
+  - model: mistralai/Mistral-7B-v0.1
+  - model: samir-fama/SamirGPT-v1
+    parameters:
+      density: 0.53
+      weight: 0.4
+  - model: abacusai/Slerp-CM-mist-dpo
+    parameters:
+      density: 0.53
+      weight: 0.3
+  - model: EmbeddedLLM/Mistral-7B-Merge-14-v0.2
+    parameters:
+      density: 0.53
+      weight: 0.3
+merge_method: dare_ties
+base_model: mistralai/Mistral-7B-v0.1
+parameters:
+  int8_mask: true
+dtype: bfloat16
+
+```
+
+## 💻 Usage
+```python
+!pip install -qU transformers bitsandbytes accelerate
+
+from transformers import AutoTokenizer
+import transformers
+import torch
+
+model = "mayacinka/West-Ramen-7Bx4"
+
+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": "Explain what a Mixture of Experts is in less than 100 words."}]
+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-dare)
+
+|             Metric              |Value|
+|---------------------------------|----:|
+|Avg.                             |73.46|
+|AI2 Reasoning Challenge (25-Shot)|69.71|
+|HellaSwag (10-Shot)              |87.05|
+|MMLU (5-Shot)                    |65.07|
+|TruthfulQA (0-shot)              |63.24|
+|Winogrande (5-shot)              |81.61|
+|GSM8k (5-shot)                   |73.01|