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Model: ludocomito/Minerva-MoE-2x3B
Source: Original Platform

README.md

@@ -0,0 +1,74 @@
+---
+license: apache-2.0
+tags:
+- moe
+- frankenmoe
+- merge
+- mergekit
+- lazymergekit
+- DeepMount00/Minerva-3B-base-RAG
+- FairMind/Minerva-3B-Instruct-v1.0
+base_model:
+- DeepMount00/Minerva-3B-base-RAG
+- FairMind/Minerva-3B-Instruct-v1.0
+---
+
+# Minerva-MoE-3x3B
+
+Minerva-MoE-3x3B is a Mixture of Experts (MoE) made with the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
+* [DeepMount00/Minerva-3B-base-RAG](https://huggingface.co/DeepMount00/Minerva-3B-base-RAG)
+* [FairMind/Minerva-3B-Instruct-v1.0](https://huggingface.co/FairMind/Minerva-3B-Instruct-v1.0)
+
+## Evaluation
+arc_it acc_norm: 31.91
+hellaswag_it acc_norm: 52.20
+mmmlu_it: 25.72
+
+## 🧩 Configuration
+
+```yaml
+base_model: sapienzanlp/Minerva-3B-base-v1.0
+experts:
+  - source_model: DeepMount00/Minerva-3B-base-RAG
+    positive_prompts:
+    - "rispondi a domande"
+    - "cosa è"
+    - "chi è"
+    - "dove è"
+    - "come si"
+    - "spiegami"
+    - "definisci"
+  - source_model: FairMind/Minerva-3B-Instruct-v1.0
+    positive_prompts:
+    - "istruzione"
+    - "input"
+    - "risposta"
+    - "scrivi"
+    - "sequenza"
+    - "istruzioni"
+dtype: bfloat16
+```
+
+## 💻 Usage
+
+```python
+!pip install -qU transformers bitsandbytes accelerate
+
+from transformers import AutoTokenizer
+import transformers
+import torch
+
+model = "ludocomito/Minerva-MoE-3x3B"
+
+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"])
+```