Bio2Tags-Qwen2.5-3B

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Bio2Tags 🏷️

Transform any personal biography into a clean, structured set of tags.

Bio2Tags is a fine‑tuned Qwen2.5‑3B model that extracts personality traits, interests, lifestyle descriptors, and values from unstructured text. Give it a sentence or a paragraph about a person, and it returns a concise list of descriptive tags — like a friend who actually reads your profile before setting you up. (Qwen2.5‑3B is very near to Qwen3.5-4B and as there were no changes to give$)

Example

Input: "I love hiking at dawn, painting watercolors, and deep conversations about philosophy. I'm a vegetarian and passionate about climate change."
Output: nature-lover, artist, intellectual, vegetarian, environmentalist

(It won’t tell you if you’re undateable — that’s on you.)

Quick Start

from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained(
    "SpiceeChat/Bio2Tags-Qwen3.5-4B-SFT",
    torch_dtype="auto",
    device_map="auto",
    trust_remote_code=True,
)
tokenizer = AutoTokenizer.from_pretrained("SpiceeChat/Bio2Tags-Qwen3.5-4B-SFT", trust_remote_code=True)

def get_tags(bio):
    messages = [
        {"role": "system", "content": "Extract tags from the following biography. Return only the tags, separated by commas, with no other text."},
        {"role": "user", "content": bio},
    ]
    prompt = tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
    inputs = tokenizer(prompt, return_tensors="pt").to(model.device)
    outputs = model.generate(**inputs, max_new_tokens=40, temperature=0.7, do_sample=True)
    return tokenizer.decode(outputs[0][inputs.input_ids.shape[1]:], skip_special_tokens=True).strip()

print(get_tags("I enjoy cooking Italian food and playing jazz piano."))
# → cooking, musician, italian-cuisine, jazz, creative

Installation

pip install transformers torch accelerate

Hardware: Requires ~6 GB VRAM (FP16). Use device_map="auto" for multi‑GPU or CPU offloading.

Model Details

Use Cases

• Dating profiles: Automatically tag user bios so they don’t have to awkwardly describe themselves.
• Social media: Generate hashtags that make you look deep and mysterious.
• Recommender systems: Build personality‑based matching — finally, an algorithm that understands “I like long walks on the beach.”
• Content moderation: Flag bios with specific attributes (or just make sure nobody calls themselves a “guru” unironically).

Limitations

• The model was trained on English bios only. French poetry will confuse it.
• Tags are descriptive, not exhaustive — it captures the most salient traits, not your entire life story.

License

Apache‑2.0

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