Update README.md

README.md

@@ -82,7 +82,7 @@ import transformers
 import torch
 
 model = "saucam/Skyro-4X8B"
-messages = [{"role": "user", "content": "What is a large language model?"}]
+messages = [{"role": "user", "content": "In a student council election, candidate A got 20% of the votes while candidate B got 50% more than candidate A's votes. The rest of the votes was given to candidate C. If there were 100 voters, how many votes did candidate C get?"}]
 
 tokenizer = AutoTokenizer.from_pretrained(model)
 prompt = tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
@@ -95,4 +95,40 @@ pipeline = transformers.pipeline(
 
 outputs = pipeline(prompt, max_new_tokens=256, do_sample=True, temperature=0.7, top_k=50, top_p=0.95)
 print(outputs[0]["generated_text"])
+```
+
+## Sample output
+
+```
+config.json: 100%|██████████████████████████████████████████████████████████████| 878/878 [00:00<00:00, 4.18MB/s]
+model.safetensors.index.json: 100%|██████████████████████████████████████████| 53.5k/53.5k [00:00<00:00, 101MB/s]
+model-00001-of-00006.safetensors: 100%|█████████████████████████████████████| 9.89G/9.89G [03:47<00:00, 43.4MB/s]
+model-00002-of-00006.safetensors: 100%|█████████████████████████████████████| 9.98G/9.98G [03:23<00:00, 49.0MB/s]
+model-00003-of-00006.safetensors: 100%|█████████████████████████████████████| 9.98G/9.98G [03:44<00:00, 44.5MB/s]
+model-00004-of-00006.safetensors: 100%|█████████████████████████████████████| 9.90G/9.90G [03:30<00:00, 46.9MB/s]
+model-00005-of-00006.safetensors: 100%|█████████████████████████████████████| 9.08G/9.08G [03:08<00:00, 48.1MB/s]
+model-00006-of-00006.safetensors: 100%|█████████████████████████████████████| 1.05G/1.05G [00:20<00:00, 51.3MB/s]
+Downloading shards: 100%|█████████████████████████████████████████████████████████| 6/6 [17:58<00:00, 179.78s/it]
+Loading checkpoint shards: 100%|███████████████████████████████████████████████████| 6/6 [01:27<00:00, 14.59s/it]
+WARNING:root:Some parameters are on the meta device device because they were offloaded to the cpu.
+Special tokens have been added in the vocabulary, make sure the associated word embeddings are fine-tuned or trained.
+
+<|im_start|>user
+In a student council election, candidate A got 20% of the votes while candidate B got 50% more than candidate A's votes. The rest of the votes was given to candidate C. If there were 100 voters, how many votes did candidate C get?<|im_end|>
+<|im_start|>assistant
+Let's denote the number of votes candidate A got as \( A \).
+
+Candidate B got 50% more votes than candidate A, so candidate B got \( A + 0.5A = 1.5A \) votes.
+
+Candidate C got the rest of the votes, which means \( C = 100 - (A + 1.5A) \).
+
+We know that candidate A got 20% of the votes, so \( A = 20\% \times 100 = 20 \).
+
+Now we can calculate candidate C's votes:
+\( C = 100 - (20 + 1.5 \times 20) \)
+\( C = 100 - (20 + 30) \)
+\( C = 100 - 50 \)
+\( C = 50 \).
+
+Therefore, candidate C got 50 votes.<|im_end|>
 ```