init

examples/aqlm_example.py

@@ -0,0 +1,46 @@
+import argparse
+
+from vllm import LLM, SamplingParams
+
+
+def main():
+
+    parser = argparse.ArgumentParser(description='AQLM examples')
+
+    parser.add_argument('--model',
+                        '-m',
+                        type=str,
+                        default=None,
+                        help='model path, as for HF')
+    parser.add_argument('--choice',
+                        '-c',
+                        type=int,
+                        default=0,
+                        help='known good models by index, [0-4]')
+    parser.add_argument('--tensor_parallel_size',
+                        '-t',
+                        type=int,
+                        default=1,
+                        help='tensor parallel size')
+
+    args = parser.parse_args()
+
+    models = [
+        "ISTA-DASLab/Llama-2-7b-AQLM-2Bit-1x16-hf",
+        "ISTA-DASLab/Llama-2-7b-AQLM-2Bit-2x8-hf",
+        "ISTA-DASLab/Llama-2-13b-AQLM-2Bit-1x16-hf",
+        "ISTA-DASLab/Mixtral-8x7b-AQLM-2Bit-1x16-hf",
+        "BlackSamorez/TinyLlama-1_1B-Chat-v1_0-AQLM-2Bit-1x16-hf",
+    ]
+
+    model = LLM(args.model if args.model is not None else models[args.choice],
+                tensor_parallel_size=args.tensor_parallel_size)
+
+    sampling_params = SamplingParams(max_tokens=100, temperature=0)
+    outputs = model.generate("Hello my name is",
+                             sampling_params=sampling_params)
+    print(outputs[0].outputs[0].text)
+
+
+if __name__ == '__main__':
+    main()