Update model card: INCEPT.sh v1.0.0, new GitHub URL (0-Time), install.sh, /think toggle
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README.md
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base_model: Qwen/Qwen3.5-0.8B
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# INCEPT
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Fine-tuned **Qwen3.5-0.8B** (GGUF Q8_0, 774MB)
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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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##
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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-
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#
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git clone https://github.com/
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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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```bash
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```
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## Prompt Format
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```
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<|im_start|>system
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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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- 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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base_model: Qwen/Qwen3.5-0.8B
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---
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# INCEPT.sh
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Offline command inference engine for Linux. Fine-tuned **Qwen3.5-0.8B** (GGUF Q8_0, 774MB) via supervised fine-tuning on 79K Linux command examples. Zero network dependency at runtime.
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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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## Installation
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```bash
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curl -fsSL https://raw.githubusercontent.com/0-Time/INCEPT.sh/main/install.sh | bash
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```
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Supports: Debian/Ubuntu, RHEL/Fedora, CentOS, Arch, openSUSE.
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## Manual Model Setup
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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-sh.gguf --local-dir ./models
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# Clone and install
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git clone https://github.com/0-Time/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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## Usage
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```bash
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# Interactive CLI
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incept
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# One-shot
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incept -c "list all open ports"
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# Minimal output (pipe-friendly)
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incept -c "find large files" -m
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# With model reasoning
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incept --think
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```
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## CLI Commands
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| Command | Description |
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|---|---|
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| `/think on\|off` | Toggle chain-of-thought reasoning |
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| `/context` | Show detected system context |
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| `/help` | List available commands |
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| `/exit` | Exit |
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## Prompt Format
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ChatML with a system context line:
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```
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<|im_start|>system
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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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- Prompt injection detection (exact-phrase matching)
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- Catastrophic pattern blocking (`rm -rf /`, fork bombs, pipe-to-shell, etc.)
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- Risk classification: `SAFE` / `CAUTION` / `DANGEROUS` / `BLOCKED`
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- Zero outbound traffic at runtime
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## Requirements
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- Linux x86_64 / aarch64
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- Python 3.11+
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- [`llama-server`](https://github.com/ggerganov/llama.cpp) on `PATH`
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- ~1GB RAM at runtime
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## Links
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- **GitHub:** [0-Time/INCEPT.sh](https://github.com/0-Time/INCEPT.sh)
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- **Release:** [v1.0.0](https://github.com/0-Time/INCEPT.sh/releases/tag/v1.0.0)
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## License
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[Apache License 2.0](https://www.apache.org/licenses/LICENSE-2.0)
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