MaziyarPanahi_-_NeuralsirkrishnaShadow_YamshadowT3q-4bits

Quantization made by Richard Erkhov.

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NeuralsirkrishnaShadow_YamshadowT3q - bnb 4bits

• Model creator: https://huggingface.co/MaziyarPanahi/
• Original model: https://huggingface.co/MaziyarPanahi/NeuralsirkrishnaShadow_YamshadowT3q/

Original model description:

license: apache-2.0 tags:

• Safetensors
• text-generation-inference
• merge model_name: NeuralsirkrishnaShadow_YamshadowT3q base_model:
• automerger/NeuralsirkrishnaShadow-7B
• automerger/YamshadowT3q-7B inference: false model_creator: MaziyarPanahi pipeline_tag: text-generation quantized_by: MaziyarPanahi

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NeuralsirkrishnaShadow_YamshadowT3q

NeuralsirkrishnaShadow_YamshadowT3q is a merge of the following models:

• automerger/NeuralsirkrishnaShadow-7B
• automerger/YamshadowT3q-7B

💻 Usage

!pip install -qU transformers accelerate

from transformers import AutoTokenizer
import transformers
import torch

model = "MaziyarPanahi/NeuralsirkrishnaShadow_YamshadowT3q"
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"])