chore: more details

README.md

@@ -13,3 +13,73 @@ base_model: unsloth/gemma-7b-bnb-4bit
 
 # gemma-alpacha
 > yahma/alpaca-cleaned finetuned with gemma-7b-bnb-4bit
+
+# Usage
+
+```sh
+pip install "unsloth[colab-new] @ git+https://github.com/unslothai/unsloth.git"
+```
+
+
+```py
+from unsloth import FastLanguageModel
+import torch
+
+model, tokenizer = FastLanguageModel.from_pretrained(
+    model_name = "gnumanth/gemma-unsloth-alpaca",
+    max_seq_length = 2048,
+    dtype = None,
+    load_in_4bit = True,
+)
+```
+
+
+```py
+alpaca_prompt = """Below is an instruction that describes a task, paired with an input that provides further context. Write a response that appropriately completes the request.
+
+### Instruction:
+{}
+
+### Input:
+{}
+
+### Response:
+{}"""
+```
+
+```py
+FastLanguageModel.for_inference(model) # Enable native 2x faster inference
+inputs = tokenizer(
+[
+    alpaca_prompt.format(
+        "Give me a python code for quicksort", # instruction
+        "1,-1,0,8,9,-2,2", # input
+        "", # output - leave this blank for generation!
+    )
+], return_tensors = "pt").to("cuda")
+
+from transformers import TextStreamer
+text_streamer = TextStreamer(tokenizer)
+_ = model.generate(**inputs, streamer = text_streamer, max_new_tokens = 128)
+```
+
+```sh
+<bos>Below is an instruction that describes a task, paired with an input that provides further context. Write a response that appropriately completes the request.
+
+### Instruction:
+Give me a python code for quicksort
+
+### Input:
+1,-1,0,8,9,-2,2
+
+### Response:
+def quicksort(arr):
+    if len(arr) <= 1:
+        return arr
+    pivot = arr[0]
+    left = [i for i in arr[1:] if i < pivot]
+    right = [i for i in arr[1:] if i >= pivot]
+    return quicksort(left) + [pivot] + quicksort(right)<eos>
+```
+
+[Hemanth HMM](https://h3amnth.com) | (Built with [unsloth](https://unsloth.ai))