Qwen3.5-0.65B-Base-Rearchitected

34
license:apache-2.0
by
oopere
Language Model
OTHER
0.65B params
New
34 downloads
Early-stage
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Edge AI:
Mobile
Laptop
Server
2GB+ RAM
Mobile
Laptop
Server
Quick Summary

AI model with specialized capabilities.

Device Compatibility

Mobile
4-6GB RAM
Laptop
16GB RAM
Server
GPU
Minimum Recommended
1GB+ RAM

Code Examples

Hardware & Training Timepythontransformers
from transformers import AutoModelForCausalLM, AutoTokenizer

# Load model and tokenizer
model_id = "oopere/Qwen3.5-0.65B-Base-Rearchitected"
tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForCausalLM.from_pretrained(model_id)

# Generate text
prompt = "Paris is the capital of"
inputs = tokenizer(prompt, return_tensors="pt")
outputs = model.generate(
    **inputs,
    max_new_tokens=50,
    do_sample=False,
    num_beams=3
)
print(tokenizer.decode(outputs[0], skip_special_tokens=True))

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