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

.gitattributes

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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

chat_template.jinja

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+{{ bos_token }}
+{%- if messages[0]['role'] == 'system' -%}
+    {%- if messages[0]['content'] is string -%}
+        {%- set first_user_prefix = messages[0]['content'] + '
+
+' -%}
+    {%- else -%}
+        {%- set first_user_prefix = messages[0]['content'][0]['text'] + '
+
+' -%}
+    {%- endif -%}
+    {%- set loop_messages = messages[1:] -%}
+{%- else -%}
+    {%- set first_user_prefix = "" -%}
+    {%- set loop_messages = messages -%}
+{%- endif -%}
+{%- for message in loop_messages -%}
+    {%- if (message['role'] == 'user') != (loop.index0 % 2 == 0) -%}
+        {{ raise_exception("Conversation roles must alternate user/assistant/user/assistant/...") }}
+    {%- endif -%}
+    {%- if (message['role'] == 'assistant') -%}
+        {%- set role = "model" -%}
+    {%- else -%}
+        {%- set role = message['role'] -%}
+    {%- endif -%}
+    {{ '<start_of_turn>' + role + '
+' + (first_user_prefix if loop.first else "") }}
+    {%- if message['content'] is string -%}
+        {{ message['content'] | trim }}
+    {%- elif message['content'] is iterable -%}
+        {%- for item in message['content'] -%}
+            {%- if item['type'] == 'image' -%}
+                {{ '<start_of_image>' }}
+            {%- elif item['type'] == 'text' -%}
+                {{ item['text'] | trim }}
+            {%- endif -%}
+        {%- endfor -%}
+    {%- else -%}
+        {{ raise_exception("Invalid content type") }}
+    {%- endif -%}
+    {{ '<end_of_turn>
+' }}
+{%- endfor -%}
+{%- if add_generation_prompt -%}
+    {{'<start_of_turn>model
+'}}
+{%- endif -%}

config.json

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+{
+  "_sliding_window_pattern": 6,
+  "architectures": [
+    "Gemma3ForCausalLM"
+  ],
+  "attention_bias": false,
+  "attention_dropout": 0.0,
+  "attn_logit_softcapping": null,
+  "bos_token_id": 2,
+  "cache_implementation": "hybrid",
+  "dtype": "float16",
+  "eos_token_id": [
+    1,
+    106
+  ],
+  "final_logit_softcapping": null,
+  "head_dim": 256,
+  "hidden_activation": "gelu_pytorch_tanh",
+  "hidden_size": 1152,
+  "initializer_range": 0.02,
+  "intermediate_size": 6912,
+  "layer_types": [
+    "sliding_attention",
+    "sliding_attention",
+    "sliding_attention",
+    "sliding_attention",
+    "sliding_attention",
+    "full_attention",
+    "sliding_attention",
+    "sliding_attention",
+    "sliding_attention",
+    "sliding_attention",
+    "sliding_attention",
+    "full_attention",
+    "sliding_attention",
+    "sliding_attention",
+    "sliding_attention",
+    "sliding_attention",
+    "sliding_attention",
+    "full_attention",
+    "sliding_attention",
+    "sliding_attention",
+    "sliding_attention",
+    "sliding_attention",
+    "sliding_attention",
+    "full_attention",
+    "sliding_attention",
+    "sliding_attention"
+  ],
+  "max_position_embeddings": 32768,
+  "model_type": "gemma3_text",
+  "num_attention_heads": 4,
+  "num_hidden_layers": 26,
+  "num_key_value_heads": 1,
+  "pad_token_id": 0,
+  "query_pre_attn_scalar": 256,
+  "rms_norm_eps": 1e-06,
+  "rope_parameters": {
+    "full_attention": {
+      "rope_theta": 1000000,
+      "rope_type": "default"
+    },
+    "sliding_attention": {
+      "rope_theta": 10000,
+      "rope_type": "default"
+    }
+  },
+  "sliding_window": 512,
+  "sliding_window_pattern": 6,
+  "tie_word_embeddings": true,
+  "transformers_version": "5.13.1",
+  "use_bidirectional_attention": false,
+  "use_cache": true,
+  "vocab_size": 262144
+}

generation_config.json

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+{
+  "bos_token_id": 2,
+  "cache_implementation": "hybrid",
+  "do_sample": true,
+  "eos_token_id": [
+    1,
+    106
+  ],
+  "pad_token_id": 0,
+  "top_k": 64,
+  "top_p": 0.95,
+  "transformers_version": "5.13.1"
+}

model.safetensors

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tokenizer.json

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tokenizer_config.json

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+{
+  "backend": "tokenizers",
+  "boi_token": "<start_of_image>",
+  "bos_token": "<bos>",
+  "clean_up_tokenization_spaces": false,
+  "eoi_token": "<end_of_image>",
+  "eos_token": "<eos>",
+  "image_token": "<image_soft_token>",
+  "is_local": true,
+  "local_files_only": true,
+  "mask_token": "<mask>",
+  "model_max_length": 1000000000000000019884624838656,
+  "model_specific_special_tokens": {
+    "boi_token": "<start_of_image>",
+    "eoi_token": "<end_of_image>",
+    "image_token": "<image_soft_token>"
+  },
+  "pad_token": "<pad>",
+  "processor_class": "Gemma3Processor",
+  "sp_model_kwargs": null,
+  "spaces_between_special_tokens": false,
+  "tokenizer_class": "GemmaTokenizer",
+  "unk_token": "<unk>",
+  "use_default_system_prompt": false
+}