Edit model card

This is an experimental model made solely for the purpose of remerging it with its sibling model

ReversePhiter

ReversePhiter Logo

ReversePhiter is a merge of the following models using LazyMergekit:

🧩 Configuration

models:
  - model: mixedbread-ai/phi-2
    # no parameters necessary for base model
  - model: cognitivecomputations/dolphin-2_6-phi-2
    parameters:
      density: 0.5
      weight: 0.5
  - model: rhysjones/phi-2-orange
    parameters:
      density: 0.5
      weight: 0.3
merge_method: ties
base_model: mixedbread-ai/phi-2
parameters:
  normalize: true
dtype: float16

πŸ’» Usage

!pip install -qU transformers accelerate

from transformers import AutoTokenizer
import transformers
import torch

model = "Venkman42/ReversePhiter"
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"])
Downloads last month
9
Safetensors
Model size
2.78B params
Tensor type
FP16
Β·
Inference Examples
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social visibility and check back later, or deploy to Inference Endpoints (dedicated) instead.

Model tree for Venkman42/ReversePhiter