Update README.md

README.md

@@ -1,29 +1,38 @@
 ---
+tags:
+- Generative AI
+- text-generation-inference
+- text-generation
+- peft
+library_name: transformers
 license: apache-2.0
-language:
-- tr
-- en
-- es
 ---
-Can you use that LLM with that code;
 
+# Model Trained By Meforgers
+
+This model was trained by Meforgers for the space and more projects.
+
+# Usage
+
+```python
 from unsloth import FastLanguageModel
-model, tokenizer = FastLanguageModel.from_pretrained(
-model_name = "Meforgers/Aixrav",
-max_seq_length = max_seq_length,
-dtype = dtype,
-load_in_4bit = load_in_4bit,
-)
-FastLanguageModel.for_inference(model)
+    model, tokenizer = FastLanguageModel.from_pretrained(
+        model_name = "Meforgers/Aixrav",
+        max_seq_length = max_seq_length,
+        dtype = dtype,
+        load_in_4bit = load_in_4bit,
+    )
+    FastLanguageModel.for_inference(model)
 
 inputs = tokenizer(
 [
-alpaca_prompt.format(
-"Can u text me a basic code?", # instruction
-"", # input
-"", # output - leave this blank for generation!
-)
+    alpaca_prompt.format(
+        "Can u make basic python code?", # instruction side
+        "", # input
+        "", # output - leave this blank for generation!
+    )
 ], return_tensors = "pt").to("cuda")
 
-outputs = model.generate(**inputs, max_new_tokens = 64, use_cache = True)
-tokenizer.batch_decode(outputs)
+outputs = model.generate(**inputs, max_new_tokens = 128, use_cache = True)
+tokenizer.batch_decode(outputs)
+```