README.md

metadata

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

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

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

!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.

@misc{louisbrulenaudet2023,
  author =       {Louis Brulé Naudet},
  title =        {Maxine-7B-0401-stock, an xtraordinary 7B model},
  year =         {2023}
  howpublished = {\url{https://huggingface.co/louisbrulenaudet/Maxine-7B-0401-stock}},
}

Feedback

If you have any feedback, please reach out at louisbrulenaudet@icloud.com.

---

license: apache-2.0 language: - en pipeline_tag: text-generation

9o

license: base_model: tags: - merge - mergekit - lazymergekit

Maxine-7B-0401-stock

Maxine-7B-0401-stock is a merge of the following models:

Configuration

Usage

!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"])