Update README.md

README.md

@@ -85,7 +85,7 @@ Model ini adalah versi **fine-tuned** dari:
 | **Target Modules** | q_proj, k_proj, v_proj, o_proj, gate_proj, up_proj, down_proj |
 | **Epoch** | 3 |
 | **Learning Rate** | 2e-4 |
-| **Precision** | FP16 |
+| **Precision** | BF16 |
 
 ---
 
@@ -140,31 +140,24 @@ print("=" * 60)
 Penggunaan Dasar
 
 ```python
-# ==================== CELL 2: TEST ORBIT-3-NANO ====================
-
-# ─── Import ───
 import os
 import torch
 import transformers
 from transformers import AutoModelForCausalLM, AutoTokenizer
 
-# ─── Cek Versi ───
 print(f"transformers: {transformers.__version__}")
 print(f"torch: {torch.__version__}")
 
-# ─── Config ───
 HF_TOKEN = "TOKEN_HF"
-MODEL_NAME = "OpenPathAI/Orbit-3-Nano"
+MODEL_NAME = "OpenPathAI/Orbit-3.2-Nano"
 
 os.environ["HUGGING_FACE_HUB_TOKEN"] = HF_TOKEN
 os.environ["HF_TOKEN"] = HF_TOKEN
 
-# ==================== LOAD TOKENIZER ====================
 print("\nLoading tokenizer...")
 tokenizer = AutoTokenizer.from_pretrained(MODEL_NAME, token=HF_TOKEN)
 print("✅ Tokenizer loaded!")
 
-# ==================== LOAD MODEL ====================
 print("Loading model...")
 model = AutoModelForCausalLM.from_pretrained(
     MODEL_NAME,
@@ -175,7 +168,6 @@ model = AutoModelForCausalLM.from_pretrained(
 model.eval()
 print("✅ Model loaded!")
 
-# ==================== FUNGSI CHAT ====================
 def chat(pertanyaan, max_new_tokens=512, temperature=0.7):
     """Fungsi chat untuk transformers v5."""
     messages = [{"role": "user", "content": pertanyaan}]
@@ -203,7 +195,6 @@ def chat(pertanyaan, max_new_tokens=512, temperature=0.7):
     )
     return response.strip()
 
-# ==================== TEST ====================
 pertanyaan = "halo, kamu bisa bantu aku gak?"
 
 print("\n" + "=" * 60)
@@ -219,7 +210,7 @@ print("=" * 60)
 Keterbatasan
 
 Keterbatasan Deskripsi
-Ukuran Model 2,6B parameter — kapasitas terbatas
+Ukuran Model 2,6B parameter kapasitas terbatas
 Akurasi Mungkin menghasilkan informasi yang tidak akurat
 Konteks Maksimal 131.072 token
 Reasoning Terbatas untuk tugas kompleks