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README.md
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license: mit
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---
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license: mit
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---
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# **ChatGLM-4-onnx-cpu-int4**
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<b><ul>Note: This is unoffical version,just for test and dev.</ul></b>
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This is the ONNX format INT4 quantized version of the glm-4-9b.
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1. Install
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```bash
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pip install torch transformers onnx onnxruntime
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pip install --pre onnxruntime-genai
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```
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2. Sample
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```bash
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import onnxruntime_genai as og
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import numpy as np
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import os
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model_folder = ".\chatglm-onnx\model"
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model = og.Model(model_folder)
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tokenizer = og.Tokenizer(model)
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tokenizer_stream = tokenizer.create_stream()
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search_options = {}
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search_options['max_length'] = 2048
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search_options['past_present_share_buffer'] = False
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chat_template = "<|user|>{input}<|assistant|>"
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text = """介绍一下华南师范大学?"""
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prompt = f'{chat_template.format(input=text)}'
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input_tokens = tokenizer.encode(prompt)
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params = og.GeneratorParams(model)
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params.set_search_options(**search_options)
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params.input_ids = input_tokens
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generator = og.Generator(model, params)
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while not generator.is_done():
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generator.compute_logits()
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generator.generate_next_token()
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new_token = generator.get_next_tokens()[0]
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print(tokenizer_stream.decode(new_token), end='', flush=True)
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```
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