birgermoell / Rapid-Cycling

huggingface.co
Total runs: 23
24-hour runs: 2
7-day runs: 3
30-day runs: 2
Model's Last Updated: January 30 2024
text-generation

Introduction of Rapid-Cycling

Model Details of Rapid-Cycling

Rapid-Cycling

Rapid-Cycling is a merge of the following models using LazyMergekit :

🧩 Configuration
slices:
  - sources:
      - model: timpal0l/Mistral-7B-v0.1-flashback-v2
        layer_range: [0, 32]
      - model: RJuro/munin-neuralbeagle-7b
        layer_range: [0, 32]
merge_method: slerp
base_model: timpal0l/Mistral-7B-v0.1-flashback-v2
parameters:
  t:
    - filter: self_attn
      value: [0, 0.5, 0.3, 0.7, 1]
    - filter: mlp
      value: [1, 0.5, 0.7, 0.3, 0]
    - value: 0.5
dtype: bfloat16
💻 Usage
!pip install -qU transformers accelerate

from transformers import AutoTokenizer
import transformers
import torch

model = "birgermoell/Rapid-Cycling"
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"])

Runs of birgermoell Rapid-Cycling on huggingface.co

23
Total runs
2
24-hour runs
4
3-day runs
3
7-day runs
2
30-day runs

More Information About Rapid-Cycling huggingface.co Model

Rapid-Cycling huggingface.co

Rapid-Cycling huggingface.co is an AI model on huggingface.co that provides Rapid-Cycling's model effect (), which can be used instantly with this birgermoell Rapid-Cycling model. huggingface.co supports a free trial of the Rapid-Cycling model, and also provides paid use of the Rapid-Cycling. Support call Rapid-Cycling model through api, including Node.js, Python, http.

birgermoell Rapid-Cycling online free

Rapid-Cycling huggingface.co is an online trial and call api platform, which integrates Rapid-Cycling's modeling effects, including api services, and provides a free online trial of Rapid-Cycling, you can try Rapid-Cycling online for free by clicking the link below.

birgermoell Rapid-Cycling online free url in huggingface.co:

https://huggingface.co/birgermoell/Rapid-Cycling

Rapid-Cycling install

Rapid-Cycling is an open source model from GitHub that offers a free installation service, and any user can find Rapid-Cycling on GitHub to install. At the same time, huggingface.co provides the effect of Rapid-Cycling install, users can directly use Rapid-Cycling installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

Rapid-Cycling install url in huggingface.co:

https://huggingface.co/birgermoell/Rapid-Cycling

Url of Rapid-Cycling

Provider of Rapid-Cycling huggingface.co

birgermoell
ORGANIZATIONS

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