107 lines
2.6 KiB
Markdown
107 lines
2.6 KiB
Markdown
---
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tags:
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- merge
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- mergekit
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- MTSAIR/multi_verse_model
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- rwitz/experiment26-truthy-iter-0
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- MaziyarPanahi/Calme-7B-Instruct-v0.2
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- chemistry
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- biology
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- math
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base_model:
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- MTSAIR/multi_verse_model
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- rwitz/experiment26-truthy-iter-0
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- MaziyarPanahi/Calme-7B-Instruct-v0.2
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license: apache-2.0
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language:
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- en
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library_name: transformers
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pipeline_tag: text-generation
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model-index:
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- name: Maxine-7B-0401-stock
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results:
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- task:
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type: text-generation
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metrics:
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- name: Average
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type: Average
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value: 76.73
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- name: ARC
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type: ARC
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value: 73.12
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- name: GSM8K
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type: GSM8K
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value: 70.66
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- name: Winogrande
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type: Winogrande
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value: 85
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- name: TruthfulQA
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type: TruthfulQA
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value: 78.07
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- name: HellaSwag
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type: HellaSwag
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value: 89.13
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source:
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name: Open LLM Leaderboard
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url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard
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---
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<center><img src='https://i.imgur.com/dU9dUh0.png' width='500px'></center>
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# Maxine-7B-0401-stock, an xtraordinary 7B model
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**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.**
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## Configuration
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```yaml
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models:
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- model: OpenPipe/mistral-ft-optimized-1227
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- model: MTSAIR/multi_verse_model
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- model: rwitz/experiment26-truthy-iter-0
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- model: MaziyarPanahi/Calme-7B-Instruct-v0.2
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merge_method: model_stock
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base_model: OpenPipe/mistral-ft-optimized-1227
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dtype: bfloat16
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```
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## Usage
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```python
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!pip install -qU transformers accelerate
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from transformers import AutoTokenizer
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import transformers
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import torch
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model = "louisbrulenaudet/Maxine-7B-0401-stock"
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messages = [{"role": "user", "content": "What is a large language model?"}]
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tokenizer = AutoTokenizer.from_pretrained(model)
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prompt = tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
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pipeline = transformers.pipeline(
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"text-generation",
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model=model,
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torch_dtype=torch.float16,
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device_map="auto",
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)
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outputs = pipeline(prompt, max_new_tokens=256, do_sample=True, temperature=0.7, top_k=50, top_p=0.95)
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print(outputs[0]["generated_text"])
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```
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## Citing & Authors
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If you use this code in your research, please use the following BibTeX entry.
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```BibTeX
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@misc{louisbrulenaudet2024,
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author = {Louis Brulé Naudet},
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title = {Maxine-7B-0401-stock, an xtraordinary 7B model},
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year = {2024}
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howpublished = {\url{https://huggingface.co/louisbrulenaudet/Maxine-7B-0401-stock}},
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}
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```
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## Feedback
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If you have any feedback, please reach out at [louisbrulenaudet@icloud.com](mailto:louisbrulenaudet@icloud.com). |