# Multilingual intelligent agent

Qwen3 235B A22B INT4MIX
Apache-2.0
Qwen3-235B-A22B is the latest generation of Tongyi's large model series, offering a range of dense and mixture-of-experts (MoE) models. It has made breakthroughs in inference, instruction following, intelligent agent capabilities, and multilingual support.
Large Language Model Transformers
Q
fastllm
144
2
Qwen3 0.6B GGUF
A quantized version of Tongyi Qianwen 3 0.6B, suitable for text generation tasks, supporting a 32k context length and multilingual processing.
Large Language Model
Q
lmstudio-community
9,063
5
Qwen3 30B A3B GGUF
Apache-2.0
Qwen3 is the latest large language model series developed by Alibaba Cloud, supporting dynamic switching between thinking mode and non-thinking mode, and excelling in reasoning, multilingual support, and intelligent agent capabilities.
Large Language Model English
Q
unsloth
261.09k
169
Qwen3 235B A22B GGUF
Apache-2.0
Quantized version of the 235 billion parameter large language model released by the Qwen team, supporting 131k context length and Mixture of Experts architecture
Large Language Model
Q
lmstudio-community
22.88k
10
Qwen3 30B A3B
Apache-2.0
Qwen3 is the latest version of the Tongyi Qianwen series of large language models, offering a complete combination of dense models and Mixture of Experts (MoE) models. Based on large-scale training, Qwen3 has achieved breakthrough progress in inference ability, instruction following, intelligent agent functions, and multilingual support.
Large Language Model Transformers
Q
Qwen
218.81k
571
Qwen3 14B
Apache-2.0
Qwen3-14B is the latest large language model in the Tongyi Qianwen series, with 14.8 billion parameters. It supports the switching between thinking and non-thinking modes and performs excellently in reasoning, instruction following, and intelligent agent capabilities.
Large Language Model Transformers
Q
Qwen
297.02k
152
Qwen3 0.6B
Apache-2.0
Qwen3-0.6B is the latest generation of large language model with a parameter scale of 0.6B in the Tongyi Qianwen series. It supports the switching between thinking and non-thinking modes and has powerful reasoning, instruction-following, and intelligent agent capabilities.
Large Language Model Transformers
Q
Qwen
497.09k
264
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