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 *.zip filter=lfs diff=lfs merge=lfs -text
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+tokenizer.json filter=lfs diff=lfs merge=lfs -text

README.md

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+---
+license: apache-2.0
+tags:
+- pruned
+- python
+- optimized
+- wanda
+base_model: google/gemma-3-270m
+pipeline_tag: text-generation
+---
+
+# gemma-3-270m-python-safe
+
+> 🎯 **PYTHON-optimized** | 📦 **Safe** pruning | ⚡ **1% weights pruned**
+
+This model is a **conservatively pruned** version of [google/gemma-3-270m](https://huggingface.co/google/gemma-3-270m).
+**Community-requested model.**
+
+## Performance Comparison
+
+| Category | Original | Pruned | Change |
+|----------|----------|--------|--------|
+| **Python** | 0.0% | 0.0% ⭐ | → |
+| Html | 0.0% | 0.0% | → |
+| Trivia | 0.0% | 0.0% | → |
+| Math | 0.0% | 0.0% | → |
+| Reasoning | 0.0% | 0.0% | → |
+| Medical | 0.0% | 0.0% | → |
+| Linux | 0.0% | 0.0% | → |
+| Writing | 0.0% | 0.0% | → |
+
+**Average**: 0.0% → 0.0% (+0.0%)
+
+
+
+![Comparison Graph](comparison_graph.png)
+
+## Quick Start
+
+```python
+from transformers import AutoModelForCausalLM, AutoTokenizer
+
+model = AutoModelForCausalLM.from_pretrained("CompactAI/gemma-3-270m-python-safe")
+tokenizer = AutoTokenizer.from_pretrained("CompactAI/gemma-3-270m-python-safe")
+
+inputs = tokenizer("Your prompt here", return_tensors="pt")
+outputs = model.generate(**inputs, max_new_tokens=100)
+print(tokenizer.decode(outputs[0], skip_special_tokens=True))
+```
+
+## Technical Details
+
+| Property | Value |
+|----------|-------|
+| Base Model | [google/gemma-3-270m](https://huggingface.co/google/gemma-3-270m) |
+| Specialization | Python |
+| Prune Mode | Safe |
+| Weight Reduction | 1% weights pruned |
+
+## License
+
+This model inherits the license from the base model.

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,
+  "dtype": "float16",
+  "eos_token_id": 1,
+  "final_logit_softcapping": null,
+  "head_dim": 256,
+  "hidden_activation": "gelu_pytorch_tanh",
+  "hidden_size": 640,
+  "initializer_range": 0.02,
+  "intermediate_size": 2048,
+  "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"
+  ],
+  "max_position_embeddings": 32768,
+  "model_type": "gemma3_text",
+  "num_attention_heads": 4,
+  "num_hidden_layers": 18,
+  "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": 1000000.0,
+      "rope_type": "default"
+    },
+    "sliding_attention": {
+      "rope_theta": 10000.0,
+      "rope_type": "default"
+    }
+  },
+  "sliding_window": 512,
+  "tie_word_embeddings": true,
+  "transformers_version": "5.0.0",
+  "use_bidirectional_attention": false,
+  "use_cache": true,
+  "vocab_size": 262145
+}

generation_config.json

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+{
+  "cache_implementation": "hybrid",
+  "do_sample": false,
+  "transformers_version": "5.0.0"
+}

model.safetensors

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+size 536224096

tokenizer.json

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+oid sha256:c913de4896557181e5ce5f2637582e269e908e9a016ba33bab616a885e3ed0d7
+size 33384697

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": false,
+  "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>",
+  "padding_side": "left",
+  "sp_model_kwargs": null,
+  "spaces_between_special_tokens": false,
+  "tokenizer_class": "GemmaTokenizer",
+  "unk_token": "<unk>",
+  "use_default_system_prompt": false
+}