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README.md

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+---
+license: apache-2.0
+tags:
+- pruned
+- python
+- optimized
+- wanda
+base_model: TinyLlama/TinyLlama-1.1B-Chat-v1.0
+pipeline_tag: text-generation
+---
+
+# EXAONE-3.5-2.4B-Instruct-python-aggressive
+
+> 🎯 **PYTHON-optimized** | 📦 **Aggressive** pruning | ⚡ **1% weights pruned**
+
+This model is a **aggressively pruned** version of [TinyLlama/TinyLlama-1.1B-Chat-v1.0](https://huggingface.co/TinyLlama/TinyLlama-1.1B-Chat-v1.0).
+
+## Performance Comparison
+
+| Category | Original | Pruned | Change |
+|----------|----------|--------|--------|
+| **Python** | 0.0% | 0.0% ⭐ | → |
+| Html | 0.0% | 0.0% | → |
+| Trivia | 11.1% | 11.1% | → |
+| 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**: 1.4% → 1.4% (+0.0%)
+
+
+
+![Comparison Graph](comparison_graph.png)
+
+## Quick Start
+
+```python
+from transformers import AutoModelForCausalLM, AutoTokenizer
+
+model = AutoModelForCausalLM.from_pretrained("CompactAI/EXAONE-3.5-2.4B-Instruct-python-aggressive")
+tokenizer = AutoTokenizer.from_pretrained("CompactAI/EXAONE-3.5-2.4B-Instruct-python-aggressive")
+
+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 | [Qwen/Qwen2.5-0.5B,TinyLlama/TinyLlama-1.1B-Chat-v1.0,Qwen/Qwen3-1.7B,HuggingFaceTB/SmolLM3-3B,Qwen/Qwen3-0.6B,Qwen/Qwen2.5-3B-Instruct,LGAI-EXAONE/EXAONE-3.5-2.4B-Instruct](https://huggingface.co/Qwen/Qwen2.5-0.5B,TinyLlama/TinyLlama-1.1B-Chat-v1.0,Qwen/Qwen3-1.7B,HuggingFaceTB/SmolLM3-3B,Qwen/Qwen3-0.6B,Qwen/Qwen2.5-3B-Instruct,LGAI-EXAONE/EXAONE-3.5-2.4B-Instruct) |
+| Specialization | Python |
+| Prune Mode | Aggressive |
+| Weight Reduction | 1% weights pruned |
+
+## License
+
+This model inherits the license from the base model.

chat_template.jinja

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+{% for message in messages %}
+{% if message['role'] == 'user' %}
+{{ '<|user|>
+' + message['content'] + eos_token }}
+{% elif message['role'] == 'system' %}
+{{ '<|system|>
+' + message['content'] + eos_token }}
+{% elif message['role'] == 'assistant' %}
+{{ '<|assistant|>
+'  + message['content'] + eos_token }}
+{% endif %}
+{% if loop.last and add_generation_prompt %}
+{{ '<|assistant|>' }}
+{% endif %}
+{% endfor %}

config.json

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+{
+  "architectures": [
+    "LlamaForCausalLM"
+  ],
+  "attention_bias": false,
+  "attention_dropout": 0.0,
+  "bos_token_id": 1,
+  "dtype": "float16",
+  "eos_token_id": 2,
+  "head_dim": 64,
+  "hidden_act": "silu",
+  "hidden_size": 2048,
+  "initializer_range": 0.02,
+  "intermediate_size": 5632,
+  "max_position_embeddings": 2048,
+  "mlp_bias": false,
+  "model_type": "llama",
+  "num_attention_heads": 32,
+  "num_hidden_layers": 22,
+  "num_key_value_heads": 4,
+  "pad_token_id": null,
+  "pretraining_tp": 1,
+  "rms_norm_eps": 1e-05,
+  "rope_parameters": {
+    "rope_theta": 10000.0,
+    "rope_type": "default"
+  },
+  "tie_word_embeddings": false,
+  "transformers_version": "5.0.0",
+  "use_cache": true,
+  "vocab_size": 32000
+}

generation_config.json

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+{
+  "bos_token_id": 1,
+  "do_sample": false,
+  "eos_token_id": 2,
+  "max_length": 2048,
+  "pad_token_id": 0,
+  "transformers_version": "5.0.0"
+}

model.safetensors

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+version https://git-lfs.github.com/spec/v1
+oid sha256:c4619bb3e9b9b70ace0d887ba7e46d0238faf9a5136d21181ef0746f9af5d461
+size 2200119664

tokenizer_config.json

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+{
+  "backend": "tokenizers",
+  "bos_token": "<s>",
+  "clean_up_tokenization_spaces": false,
+  "eos_token": "</s>",
+  "is_local": false,
+  "legacy": false,
+  "model_max_length": 2048,
+  "pad_token": "</s>",
+  "padding_side": "left",
+  "sp_model_kwargs": {},
+  "tokenizer_class": "TokenizersBackend",
+  "unk_token": "<unk>",
+  "use_default_system_prompt": false
+}