reddest-panda_-_AutoMAD-small-gguf

Quantization made by Richard Erkhov.

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AutoMAD-small - GGUF

• Model creator: https://huggingface.co/reddest-panda/
• Original model: https://huggingface.co/reddest-panda/AutoMAD-small/

Original model description:

base_model: Qwen/Qwen2-0.5B-Instruct datasets:

• reddest-panda/arm-asm-xsmall library_name: transformers license: other tags:
• autotrain
• text-generation-inference
• text-generation
• peft widget:
• messages:
  • role: user content: What is your favorite condiment?

---

Model Trained Using AutoTrain

This model was trained using AutoTrain. For more information, please visit AutoTrain.

Usage

from transformers import AutoModelForCausalLM, AutoTokenizer

model_path = "reddest-panda/AutoMAD-small"

tokenizer = AutoTokenizer.from_pretrained(model_path)
model = AutoModelForCausalLM.from_pretrained(
    model_path,
    device_map="auto",
    torch_dtype='auto'
).eval()

# Prompt content: "hi"
messages = [
    {"role": "user", "content": "hi"}
]

input_ids = tokenizer.apply_chat_template(conversation=messages, tokenize=True, add_generation_prompt=True, return_tensors='pt')
output_ids = model.generate(input_ids.to('cuda'))
response = tokenizer.decode(output_ids[0][input_ids.shape[1]:], skip_special_tokens=True)

# Model response: "Hello! How can I assist you today?"
print(response)