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README.md
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library_name: transformers
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license: apache-2.0
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license_link: https://huggingface.co/Qwen/Qwen3-Coder-30B-A3B-Instruct/blob/main/LICENSE
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pipeline_tag: text-
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---
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# Qwen3-Coder-3B-A3B-Instruct
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## Model Overview
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**Qwen3-30B-A3B-Instruct** has the following features:
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- Type: Causal Language Models
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- Training Stage: Pretraining & Post-training
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- Number of Parameters: 30.5B in total and 3.3B activated
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```python
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from transformers import AutoModelForCausalLM, AutoTokenizer
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model_name = "Qwen/Qwen3-30B-A3B-Instruct"
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# load the tokenizer and the model
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tokenizer = AutoTokenizer.from_pretrained(model_name)
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library_name: transformers
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license: apache-2.0
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license_link: https://huggingface.co/Qwen/Qwen3-Coder-30B-A3B-Instruct/blob/main/LICENSE
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pipeline_tag: text-generationQwen/Qwen3-Coder-30B-A3B-Instruct
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---
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# Qwen3-Coder-3B-A3B-Instruct
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## Model Overview
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**Qwen3-Coder-30B-A3B-Instruct** has the following features:
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- Type: Causal Language Models
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- Training Stage: Pretraining & Post-training
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- Number of Parameters: 30.5B in total and 3.3B activated
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```python
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from transformers import AutoModelForCausalLM, AutoTokenizer
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model_name = "Qwen/Qwen3-Coder-30B-A3B-Instruct"
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# load the tokenizer and the model
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tokenizer = AutoTokenizer.from_pretrained(model_name)
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