74 lines
1.9 KiB
Markdown
74 lines
1.9 KiB
Markdown
---
|
|
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"])
|
|
``` |