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Model: Paulwalker4884/gemma-3-1b-terminal-assistant
Source: Original Platform

README.md

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+---
+license: gemma
+base_model:
+- google/gemma-3-1b-it
+tags:
+- gemma
+- terminal
+- linux
+- command-generation
+- sft
+- Mica
+- fine-tuned
+pipeline_tag: text-generation
+library_name: transformers
+---
+
+# Gemma 3 1B Terminal Assistant
+
+A fine-tuned version of Google's **Gemma 3 1B Instruction Tuned model** specialized for terminal command generation.
+
+This model was trained to understand natural language requests and generate safe, minimal terminal commands.
+
+## Model Details
+
+Base Model:
+
+- google/gemma-3-1b-it
+
+Fine-tuning Method:
+
+- Supervised Fine-Tuning (SFT)
+- Mica fine-tuning
+- Mica merged into the base model
+
+Training Dataset:
+
+- mshojaei77/terminal-command-execution-sft
+
+Task:
+
+- Linux terminal commands
+- Windows commands
+- Shell scripting
+- Command explanation
+- Safe command generation
+
+
+## Example Usage
+
+
+### Python Example
+
+```python
+from transformers import AutoTokenizer, AutoModelForCausalLM
+import torch
+
+
+model_name = "Paulwalker4884/gemma-3-1b-terminal-assistant"
+
+
+tokenizer = AutoTokenizer.from_pretrained(model_name)
+
+model = AutoModelForCausalLM.from_pretrained(
+    model_name,
+    torch_dtype=torch.float16,
+    device_map="auto"
+)
+
+
+messages = [
+    {
+        "role": "system",
+        "content": "You are a safe terminal command assistant."
+    },
+    {
+        "role": "user",
+        "content": "Find all python files recursively"
+    }
+]
+
+
+inputs = tokenizer.apply_chat_template(
+    messages,
+    tokenize=True,
+    add_generation_prompt=True,
+    return_tensors="pt"
+).to(model.device)
+
+
+outputs = model.generate(
+    inputs,
+    max_new_tokens=128,
+    temperature=0.2
+)
+
+
+response = tokenizer.decode(
+    outputs[0][inputs.shape[-1]:],
+    skip_special_tokens=True
+)
+
+
+print(response)
+```
+
+---
+
+## Example
+
+Input:
+
+```
+Find all python files recursively
+```
+
+Output:
+
+```bash
+find . -name "*.py"
+```
+
+
+Input:
+
+```
+Find all log files modified in the last 7 days and save them
+```
+
+Output:
+
+```bash
+find . -name "*.log" -mtime -7 > recent_logs.txt
+```
+
+
+## Safety
+
+This model is trained to avoid blindly generating destructive commands.
+
+For potentially dangerous operations, users should verify commands before execution.
+
+
+## Limitations
+
+- The model may generate incorrect commands.
+- Always review generated commands before running them.
+- Performance depends on the quality of the input prompt.
+
+
+## Training Information
+
+Dataset size:
+
+- Train: 31,429 examples
+- Evaluation: 239 examples
+
+
+
+
+
+Frameworks:
+
+- Transformers
+- TRL
+- PEFT
+- PyTorch
+
+BY : Yasin Keykha