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README.md
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---
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language: en
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license: apache-2.0
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tags:
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- linux
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- command-generation
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- gguf
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- qwen3
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- llama-cpp
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- offline
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base_model: Qwen/Qwen3.5-0.8B
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---
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# INCEPT/Sh — Command Inference Model (Q8_0)
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Fine-tuned **Qwen3.5-0.8B** (GGUF Q8_0, 774MB) for Linux shell command generation. Maps plain English descriptions to accurate Linux commands. Runs entirely offline via [llama.cpp](https://github.com/ggerganov/llama.cpp).
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**Benchmark:** 99/100 on a structured 100-question Linux command evaluation (Ubuntu 22.04, bash, non-root).
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## Usage
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Requires `llama-server` from [llama.cpp](https://github.com/ggerganov/llama.cpp).
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```bash
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# Download model
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huggingface-cli download 0Time/INCEPT-SH \
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incept-command-v2-q8_0.gguf --local-dir ./models
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# Run with INCEPT/Sh CLI
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git clone https://github.com/ProMohanad/INCEPT.sh
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cd INCEPT.sh
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pip install -e ".[cli]"
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incept
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```
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Or use directly with llama-server:
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```bash
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llama-server -m models/incept-command-v2-q8_0.gguf --port 8787
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```
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## Prompt Format
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The model uses ChatML format with a system context line:
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```
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<|im_start|>system
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ubuntu 22.04 bash non-root
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<|im_end|>
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<|im_start|>user
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{natural language query}
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<|im_end|>
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<|im_start|>assistant
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<think>
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</think>
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```
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Inference temperature: **0.0** (greedy decoding).
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## Training
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| Parameter | Value |
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|-----------------------|---------------------------------------------|
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| Base model | Qwen/Qwen3.5-0.8B |
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| Training method | Supervised fine-tuning (LoRA, rank 16) |
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| Training examples | 79,264 (SFT) + 11,306 (pipe refinement) |
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| Learning rate | 5×10⁻⁵ |
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| Quantization | Q8_0 (774MB) |
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| Supported distros | Ubuntu, Debian, RHEL, Arch, Fedora, CentOS |
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| Training hardware | Apple M4 Mac mini, 32GB unified RAM |
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## Safety
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The accompanying [INCEPT/Sh](https://github.com/ProMohanad/INCEPT.sh) engine includes:
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- Prompt injection detection
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- Catastrophic pattern blocking (fork bombs, `rm -rf /`, pipe-to-shell, etc.)
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- Risk classification: `SAFE` / `CAUTION` / `DANGEROUS` / `BLOCKED`
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## License
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[Apache 2.0](https://www.apache.org/licenses/LICENSE-2.0)
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