Qwen3-0.6B-rStar-Coder-IF-Expert

49
1
—
by
gss1147
Code Model
OTHER
0.6B params
New
49 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

This model reliably satisfies all 5 constraints in one generationpythontransformers
from transformers import AutoModelForCausalLM, AutoTokenizer

model_id = "gss1147/Qwen3-0.6B-rStar-Coder-IF-Expert"
tokenizer = AutoTokenizer.from_pretrained(model_id, trust_remote_code=True)
model = AutoModelForCausalLM.from_pretrained(
    model_id,
    torch_dtype="auto",
    device_map="auto",
    trust_remote_code=True
)

messages = [{"role": "user", "content": "Write a thread-safe connection pool in Python"}]
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=512,
    temperature=0.2,
    do_sample=True
)
code = tokenizer.decode(outputs[0][inputs.input_ids.shape[1]:], skip_special_tokens=True)
print(code)

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