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--- |
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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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--- |
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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{louisbrulenaudet2023, |
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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 = {2023} |
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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). |
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--- |
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license: apache-2.0 |
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language: |
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- en |
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pipeline_tag: text-generation |
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--- |
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9o |
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--- |
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license: |
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base_model: |
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tags: |
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- merge |
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- mergekit |
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- lazymergekit |
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--- |
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# Maxine-7B-0401-stock |
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Maxine-7B-0401-stock is a merge of the following models: |
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## Configuration |
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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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``` |
