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WARNING: This model is designed to generate powerful system-level commands. It can and will generate destructive commands (e.g.,rm -rf,mkfs, or overwriting configurations with>).
- Always verify commands in a sandbox or test environment before executing them on production systems.
- The model may occasionally hallucinate flags or mix Linux distributions (e.g., suggesting
pacmanfor Ubuntu systems).
| Category | Accuracy | Notes |
|---|---|---|
Basic Admin (ls, cd, mkdir) | 98% | Flawless execution. |
Log Parsing (awk, sed, grep) | 75% | Occasionally confuses line vs. field flags. |
| Systemd & Services | 90% | Strong understanding of service lifecycles. |
Networking (iptables, ss) | 82% | Occasional source/destination flag inversion. |
pacman) commands when asked for Ubuntu tasks if the prompt is not specific.> (overwrite) instead of >> (append) for configuration files.find commands, it may invent non-existent flags (e.g., -md5).1from transformers import AutoTokenizer, AutoModelForCausalLM
2
3model_id = "your-username/HydroShell-1.2B"
4tokenizer = AutoTokenizer.from_pretrained(model_id)
5model = AutoModelForCausalLM.from_pretrained(model_id, device_map="auto", trust_remote_code=True)
6
7messages = [{"role": "user", "content": "البحث عن العمليات التي تستهلك أكبر قدر من الذاكرة"}]
8inputs = tokenizer.apply_chat_template(messages, add_generation_prompt=True, return_tensors="pt").to("cuda")
9
10outputs = model.generate(**inputs, max_new_tokens=64, temperature=0.3)
11print(tokenizer.decode(outputs[0], skip_special_tokens=True))
12
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