metadata

license: apache-2.0
tags:
  - Safetensors
  - text-generation-inference
  - merge
model_name: T3qm7xNeuralsirkrishna_Experiment28Experiment29
base_model:
  - automerger/T3qm7xNeuralsirkrishna-7B
  - automerger/Experiment28Experiment29-7B
inference: false
model_creator: MaziyarPanahi
pipeline_tag: text-generation
quantized_by: MaziyarPanahi

T3qm7xNeuralsirkrishna_Experiment28Experiment29

T3qm7xNeuralsirkrishna_Experiment28Experiment29 is a merge of the following models:

💻 Usage

!pip install -qU transformers accelerate

from transformers import AutoTokenizer
import transformers
import torch

model = "MaziyarPanahi/T3qm7xNeuralsirkrishna_Experiment28Experiment29"
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"])