Qwen3-14B-Base is a Qwen model; the sources do not list it directly, but Replicate runs open-source models through a cloud API 1, and Hugging Face hosts model weights and provides a CLI to estimate memory needed to load Safetensors or GGUF weights 4. Both are the most practical routes to run or inspect a 14B base model, while PyTorch 10 and LangChain 9 are frameworks used to build on such models.

1. 1

   Replicatereplicate.comverified and signed

   Runs open-source machine learning models through a cloud API, with a Qwen model listed among its actions, so a Qwen-family model can be called without local hardware 1.

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   +14 community tools built for it

   for agents: nomagick/qwen-14b-chat · lucataco/qwen3-vl-8b-instruct · lucataco/qwen2-57b-a14b-instruct

2. 2

   Hugging Facehuggingface.coverified and signed

   Hosts models and datasets and offers an hf-mem CLI that estimates the memory needed to load Safetensors or GGUF model weights for inference 4.

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   official:MCP server · @huggingface/mcp-clientSDK · huggingface-hubCLI · text-embeddings-inferencerepository · pwc-cliskill · hf-cli+23 community tools built for it

   for agents: hf-mem · models · model-hub

3. 3

   PyTorchpytorch.orgverified and signed

   Open source deep learning framework whose Foundation hosts the ecosystem; it includes export tooling to convert models to .pte format for ExecuTorch 10.

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   +18 community tools built for it

   for agents: export · pytorch · machine