Surogate-3.5-2B

Surogate-3.5-2B

Surogate-3.5-2B is a Romanian-first bilingual assistant developed by Invergent. It is optimized for Romanian instruction following, reasoning, math, and orthographic correctness. English remains supported.

Thinking support: explicit <think>...</think> reasoning traces in both Romanian and English, alongside direct-answer mode.

The model is compatible with the Qwen3.5 chat template and tooling.

Evaluation

Plain values are direct measurements. Values marked ~ are estimates derived from the source foundation model's published results and measured capability retention.

Bilingual Thinking Example

With enable_thinking=True, the reasoning trace follows the prompt language.

Romanian prompt: Un tren parcurge 180 km în 3 ore. Care este viteza sa medie?

<think>
Viteza medie este distanța împărțită la timp: 180 km / 3 h = 60 km/h.
</think>
Viteza medie este 60 km/h.

English prompt: A train travels 180 km in 3 hours. What is its average speed?

<think>
Average speed is distance divided by time: 180 km / 3 h = 60 km/h.
</think>
The average speed is 60 km/h.

Usage

from transformers import AutoModelForImageTextToText, AutoProcessor

model_id = "surogate/Surogate-3.5-2B"
processor = AutoProcessor.from_pretrained(model_id)
model = AutoModelForImageTextToText.from_pretrained(
    model_id,
    device_map="auto",
    torch_dtype="auto",
)

messages = [
    {"role": "user", "content": "Explică pe scurt de ce cerul este albastru."}
]
inputs = processor.apply_chat_template(
    messages,
    tokenize=True,
    add_generation_prompt=True,
    enable_thinking=False,
    return_tensors="pt",
    return_dict=True,
).to(model.device)

output = model.generate(**inputs, max_new_tokens=512)
answer = processor.decode(
    output[0][inputs.input_ids.shape[1]:],
    skip_special_tokens=False,
)
print(answer)

Set enable_thinking=True to request an explicit reasoning trace. The shipped generation defaults are temperature 0.6, top-p 0.95, and top-k 20.

Limitations

• Romanian is the primary optimization target.
• English performance may vary by task.
• A 2B model has limited factual depth and reliability on complex reasoning.
• The model can produce spelling, reasoning, and factual errors.
• Generated facts, calculations, and high-impact advice require independent verification.

Use is subject to the repository's license terms.

Contact Us

Contact us at [email protected]