β‘ Vatra-Neuron-1.5B
Vatra-Neuron-1.5B adalah model bahasa khusus code generation dan algorithmic reasoning kelas 1.5B yang ditenagai oleh arsitektur Vatra Dynamic Engine (Iterative Execution Consensus & Zero-Leakage Self-Healing).
π Benchmark Performance (Measured Official Results)
Model ini dievaluasi secara ketat dan transparan pada benchmark standar industri:
| Benchmark | Single-Shot Baseline | Vatra-Neuron Engine | Net Gain |
|---|---|---|---|
| LiveCodeBench v6 (Official Weighted) | 9.11% | 30.34% | +21.23% (3.3x Jump) |
| LiveCodeBench v6 (Easy Split) | 40.00% | 90.00% | +50.00% |
| LiveCodeBench v6 (Medium Split) | 5.00% | 20.00% | +15.00% |
| OpenAI HumanEval (164 tasks) | 57.32% | 59.76% | +2.44% |
| Google MBPP Sanitized (100 tasks) | 64.00% | 77.00% | +13.00% |
Metodologi Zero-Leakage: Seluruh proses seleksi kandidat dan self-healing hanya menggunakan sample test cases publik yang tertera pada deskripsi soal. Kumpulan private test cases disimpan terisolasi dan hanya dijalankan 1 kali pada penilaian akhir.
π Cara Menggunakan (Quickstart via Transformers)
import torch
from transformers import AutoTokenizer, AutoModelForCausalLM
model_id = "VATRA-AI/Vatra-Neuron-1.5B" # Ganti dengan username HuggingFace kamu
tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForCausalLM.from_pretrained(
model_id,
torch_dtype=torch.bfloat16,
device_map="auto"
)
prompt = "Implement a Python function to find the longest palindromic substring in O(n) time."
messages = [
{"role": "system", "content": "You are Vatra-Neuron, an expert algorithmic coding assistant."},
{"role": "user", "content": prompt}
]
inputs = tokenizer.apply_chat_template(messages, tokenize=True, return_tensors="pt", add_generation_prompt=True).to(model.device)
outputs = model.generate(inputs, max_new_tokens=1024, temperature=0.2)
print(tokenizer.decode(outputs[0], skip_special_tokens=True))
βοΈ Lisensi & Hak Cipta
Model ini dilindungi oleh VATRA-AI Source-Available Non-Commercial & Anti-Rebranding License v1.0.
- Diizinkan untuk evaluasi, riset terbuka, dan penggunaan personal.
- Dilarang keras melakukan rebranding nama atau menghapus atribusi pencipta asli tanpa izin tertulis.
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