Create README.md

README.md

@@ -0,0 +1,62 @@
+---
+datasets:
+- tiiuae/falcon-refinedweb
+- pankajmathur/WizardLM_Orca
+language:
+- en
+- de
+- es
+- fr
+inference: false
+---
+
+
+
+
+
+# 🇰🇷 quantumaikr/falcon-180B-WizardLM_Orca
+
+**quantumaikr/falcon-180B-WizardLM_Orca is a 180B parameters causal decoder-only model built by [quantumaikr](https://www.quantumai.kr) based on [Falcon-180B-chat](https://huggingface.co/tiiuae/falcon-180B-chat)**
+
+
+
+## How to Get Started with the Model
+
+To run inference with the model in full `bfloat16` precision you need approximately 8xA100 80GB or equivalent.
+
+
+```python
+from transformers import AutoTokenizer, AutoModelForCausalLM
+import transformers
+import torch
+
+model = "quantumaikr/falcon-180B-WizardLM_Orca"
+
+tokenizer = AutoTokenizer.from_pretrained(model)
+pipeline = transformers.pipeline(
+    "text-generation",
+    model=model,
+    tokenizer=tokenizer,
+    torch_dtype=torch.bfloat16,
+    trust_remote_code=True,
+    device_map="auto",
+)
+sequences = pipeline(
+   "Girafatron is obsessed with giraffes, the most glorious animal on the face of this Earth. Giraftron believes all other animals are irrelevant when compared to the glorious majesty of the giraffe.\nDaniel: Hello, Girafatron!\nGirafatron:",
+    max_length=200,
+    do_sample=True,
+    top_k=10,
+    num_return_sequences=1,
+    eos_token_id=tokenizer.eos_token_id,
+)
+for seq in sequences:
+    print(f"Result: {seq['generated_text']}")
+
+``` 
+
+
+## Contact
+
+🇰🇷 www.quantumai.kr
+
+🇰🇷 [email protected] [초거대언어모델 기술도입 문의환영]