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README.md ADDED
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+ ---
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+ language: en
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+ license: mit # Adjust based on original model
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+ tags:
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+ - pruning
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+ - sparse
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+ - atropos
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+ - code-generation
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+ ---
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+
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+ # gpt2-mild_pruning
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+
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+ This is a pruned version of [gpt2](https://huggingface.co/gpt2)
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+ generated as part of the Atropos pruning exercise.
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+
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+ ## Pruning Details
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+
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+ - **Strategy:** mild_pruning
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+ - **Method:** PyTorch magnitude-based unstructured pruning
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+ - **Generated by:** Atropos pruning exercise scripts
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+
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+ ## Usage
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+
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+ ```python
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+ from transformers import AutoModelForCausalLM, AutoTokenizer
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+
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+ model = AutoModelForCausalLM.from_pretrained("gpt2-mild_pruning")
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+ tokenizer = AutoTokenizer.from_pretrained("gpt2-mild_pruning")
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+ ```
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+
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+ ## About Atropos
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+
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+ [Atropos](https://github.com/its-not-rocket-science/atropos) estimates ROI
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+ for pruning and quantization optimizations in LLM deployments.
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+
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+ This model was pruned to validate Atropos projections against actual results.
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+
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+ ## Citation
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+
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+ If you use this model, please cite the original model and Atropos:
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+
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+ ```bibtex
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+ @software{atropos,
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+ title = {Atropos: ROI Estimation for LLM Pruning},
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+ year = {2026},
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+ }
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+ ```
config.json ADDED
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+ {
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+ "_name_or_path": "gpt2",
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+ "activation_function": "gelu_new",
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+ "architectures": [
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+ "GPT2LMHeadModel"
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+ ],
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+ "attn_pdrop": 0.1,
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+ "initializer_range": 0.02,
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+ "layer_norm_epsilon": 1e-05,
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+ "model_type": "gpt2",
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+ "n_ctx": 1024,
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+ "n_embd": 768,
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+ "n_head": 12,
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+ "n_inner": null,
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+ "n_layer": 12,
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+ "n_positions": 1024,
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+ "reorder_and_upcast_attn": false,
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+ "resid_pdrop": 0.1,
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+ "scale_attn_by_inverse_layer_idx": false,
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+ "scale_attn_weights": true,
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+ "summary_activation": null,
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+ "summary_first_dropout": 0.1,
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+ "summary_proj_to_labels": true,
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+ "summary_type": "cls_index",
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+ "summary_use_proj": true,
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+ "task_specific_params": {
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+ "text-generation": {
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+ "do_sample": true,
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+ "max_length": 50
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+ }
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+ },
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+ "torch_dtype": "float32",
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+ "transformers_version": "4.48.2",
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+ "use_cache": true,
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+ "vocab_size": 50257
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+ }
generation_config.json ADDED
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+ {
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+ "_from_model_config": true,
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+ "bos_token_id": 50256,
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+ "eos_token_id": 50256,
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+ "transformers_version": "4.48.2"
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+ }
merges.txt ADDED
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+ {
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tokenizer.json ADDED
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tokenizer_config.json ADDED
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+ {
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+ "add_prefix_space": false,
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+ }
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+ "bos_token": "<|endoftext|>",
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+ "extra_special_tokens": {},
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+ "model_max_length": 1024,
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+ "tokenizer_class": "GPT2Tokenizer",
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+ "unk_token": "<|endoftext|>"
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+ }
vocab.json ADDED
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