Update README.md

README.md

@@ -6,24 +6,26 @@ tags:
 - llama-3
 language:
 - en
+- tr
 pipeline_tag: text-generation
 library_name: transformers
 ---
 
-# Megatron_llama3_2x8B
 
+## 💻 For English
 Megatron_llama3_2x8B is a Mixure of Experts (MoE) (two llama3 models)
 
 
-## 💻 Usage
-
 ```python
 !pip install -qU transformers bitsandbytes accelerate
 
+from transformers import AutoTokenizer, AutoModelForCausalLM
+import torch
+
 model_id = "Eurdem/Megatron_llama3_2x8B"
 
 tokenizer = AutoTokenizer.from_pretrained(model_id)
-model = AutoModelForCausalLM.from_pretrained(model_id, torch_dtype=torch.bfloat16, device_map="auto", load_in_4bit= True)
+model = AutoModelForCausalLM.from_pretrained(model_id, torch_dtype=torch.bfloat16, device_map="auto", load_in_8bit= True)
 
 messages = [
     {"role": "system", "content": "You are a helpful chatbot who always responds friendly."},
@@ -42,4 +44,52 @@ outputs = model.generate(input_ids,
                       )
 response = outputs[0][input_ids.shape[-1]:]
 print(tokenizer.decode(response, skip_special_tokens=True))
-```
+```
+
+# Megatron_llama3_2x8B
+
+
+
+## 💻 Türkçe İçin
+
+```python
+!pip install -qU transformers bitsandbytes accelerate
+
+from transformers import AutoTokenizer, AutoModelForCausalLM
+import torch
+
+model_id = "Eurdem/Megatron_llama3_2x8B"
+
+tokenizer = AutoTokenizer.from_pretrained(model_id)
+model = AutoModelForCausalLM.from_pretrained(model_id, torch_dtype=torch.bfloat16, device_map="auto", load_in_4bit= True)
+
+messages = [
+    {"role": "system", "content": "Sen Defne isimli Türkçe konuşan bir chatbotsun."},
+    {"role": "user", "content": "Sana 2 sorum var. 1) Sen kimsin?  2)f(x)=3x^2+4x+12 ise f(3) kaçtır?"}
+]
+
+input_ids = tokenizer.apply_chat_template(messages, return_tensors="pt").to("cuda")
+
+outputs = model.generate(input_ids,
+                          max_new_tokens=1024,
+                          do_sample=True,
+                          temperature=0.7,
+                          top_p=0.7,
+                          top_k=500,
+                          eos_token_id = tokenizer.eos_token_id
+                      )
+response = outputs[0][input_ids.shape[-1]:]
+print(tokenizer.decode(response, skip_special_tokens=True))
+```
+
+### Çıktı
+```Merhaba! Ben Sen Defne, Türkçe konuşan bir chatbotum. Hizmetinizdeyim.
+
+Sorunuzun 2. kısmı için, f(x) = 3x^2 + 4x + 12 formülünü ele alalım. f(3)'ün hesabını yapalım:
+
+f(3) = 3(3)^2 + 4(3) + 12
+= 3(9) + 12 + 12
+= 27 + 24
+= 51
+
+Bu nedenle, f(3) 51'dir.```