Safetensors
text-generation-inference
merge model_name: Experiment28M7_Neuralsirkrishnaexperiment26Experiment24 base_model:
automerger/Experiment28M7-7B
automerger/Neuralsirkrishnaexperiment26Experiment24-7B inference: false model_creator: MaziyarPanahi pipeline_tag: text-generation quantized_by: MaziyarPanahi

Experiment28M7_Neuralsirkrishnaexperiment26Experiment24

Experiment28M7_Neuralsirkrishnaexperiment26Experiment24 is a merge of the following models:

💻 Usage

python

!pip install -qU transformers accelerate

from transformers import AutoTokenizer
import transformers
import torch

model = "MaziyarPanahi/Experiment28M7_Neuralsirkrishnaexperiment26Experiment24"
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"])

RichardErkhov/MaziyarPanahi_-_Experiment28M7_Neuralsirkrishnaexperiment26Experiment24-8bits

Original model description:

Experiment28M7_Neuralsirkrishnaexperiment26Experiment24

💻 Usage

RichardErkhov/
MaziyarPanahi_-_Experiment28M7_Neuralsirkrishnaexperiment26Experiment24-8bits