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---
tags:
- merge
- mergekit
- MTSAIR/multi_verse_model
- rwitz/experiment26-truthy-iter-0
- MaziyarPanahi/Calme-7B-Instruct-v0.2
- chemistry
- biology
- math
base_model:
- MTSAIR/multi_verse_model
- rwitz/experiment26-truthy-iter-0
- MaziyarPanahi/Calme-7B-Instruct-v0.2
license: apache-2.0
language:
- en
library_name: transformers
pipeline_tag: text-generation
model-index:
- name: Maxine-7B-0401-stock
results:
- task:
type: text-generation
metrics:
- name: Average
type: Average
value: 76.73
- name: ARC
type: ARC
value: 73.12
- name: GSM8K
type: GSM8K
value: 70.66
- name: Winogrande
type: Winogrande
value: 85
- name: TruthfulQA
type: TruthfulQA
value: 78.07
- name: HellaSwag
type: HellaSwag
value: 89.13
source:
name: Open LLM Leaderboard
url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard
---
<center><img src='https://i.imgur.com/dU9dUh0.png' width='500px'></center>
# Maxine-7B-0401-stock, an xtraordinary 7B model
**03-22-2024 - To date, louisbrulenaudet/Pearl-34B-ties is the "Best 🤝 base merges and moerges model of around 30B" on the Open LLM Leaderboard.**
## Configuration
```yaml
models:
- model: OpenPipe/mistral-ft-optimized-1227
- model: MTSAIR/multi_verse_model
- model: rwitz/experiment26-truthy-iter-0
- model: MaziyarPanahi/Calme-7B-Instruct-v0.2
merge_method: model_stock
base_model: OpenPipe/mistral-ft-optimized-1227
dtype: bfloat16
```
## Usage
```python
!pip install -qU transformers accelerate
from transformers import AutoTokenizer
import transformers
import torch
model = "louisbrulenaudet/Maxine-7B-0401-stock"
messages = [{"role": "user", "content": "What is a large language model?"}]
tokenizer = AutoTokenizer.from_pretrained(model)
prompt = tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
pipeline = transformers.pipeline(
"text-generation",
model=model,
torch_dtype=torch.float16,
device_map="auto",
)
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"])
```
## Citing & Authors
If you use this code in your research, please use the following BibTeX entry.
```BibTeX
@misc{louisbrulenaudet2024,
author = {Louis Brulé Naudet},
title = {Maxine-7B-0401-stock, an xtraordinary 7B model},
year = {2024}
howpublished = {\url{https://huggingface.co/louisbrulenaudet/Maxine-7B-0401-stock}},
}
```
## Feedback
If you have any feedback, please reach out at [louisbrulenaudet@icloud.com](mailto:louisbrulenaudet@icloud.com). |