Instructions to use xThr45hx/TensorRT-LLM-Windows-RTX40 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- TensorRT
How to use xThr45hx/TensorRT-LLM-Windows-RTX40 with TensorRT:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
Fix base_model to Josiefied-Qwen3-4B-abliterated-v1 + note uncensored engine
Browse files
README.md
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- llm-inference
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- qwen3
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base_model:
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---
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# TensorRT-LLM — Native Windows Build for RTX 40-Series (Ada / SM89)
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## Using the prebuilt engine
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`engine/rank0.engine` is a ready-to-serve TensorRT-LLM engine for Josiefied-Qwen3-4B (INT4, 16k context). Point a TensorRT-LLM runtime built against the included `tensorrt_llm.dll` at it. See `scripts/` for serving examples.
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## Building from source
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- llm-inference
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- qwen3
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base_model:
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- Goekdeniz-Guelmez/Josiefied-Qwen3-4B-abliterated-v1
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---
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# TensorRT-LLM — Native Windows Build for RTX 40-Series (Ada / SM89)
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## Using the prebuilt engine
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`engine/rank0.engine` is a ready-to-serve TensorRT-LLM engine for **[Josiefied-Qwen3-4B-abliterated-v1](https://huggingface.co/Goekdeniz-Guelmez/Josiefied-Qwen3-4B-abliterated-v1)** (INT4, 16k context, batch 1). Point a TensorRT-LLM runtime built against the included `tensorrt_llm.dll` at it. See `scripts/` for serving examples.
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> ⚠️ **This engine is an abliterated (uncensored) model.** It's built from Josiefied-Qwen3-4B-abliterated-v1, not stock Qwen3-4B. If you want a stock/aligned model, build your own engine from the base weights using the `patches/` + `BUILD_README.md`.
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## Building from source
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