Upload 124M GPT with symbolic reasoning distillation
Browse files- README.md +20 -0
- chat_template.jinja +4 -0
- config.json +34 -0
- generation_config.json +9 -0
- model.safetensors +3 -0
- raw_model.pt +3 -0
- tokenizer.json +0 -0
- tokenizer_config.json +17 -0
- training_config.json +13 -0
README.md
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---
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license: apache-2.0
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language: [en]
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tags: [text-generation, gpt2, knowledge-distillation, symbolic-reasoning, chain-of-thought, from-scratch]
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datasets: [HuggingFaceFW/fineweb-edu, openai/gsm8k]
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pipeline_tag: text-generation
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---
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# 124M GPT with Symbolic Reasoning Distillation
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Trained **from scratch** on mixed data with **dual-alpha distillation**:
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| Stream | Dataset | Alpha | Purpose |
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|--------|---------|-------|---------|
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| General | FineWeb-Edu | 0.2 | Language modeling, light teacher guidance |
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| **Reasoning** | **GSM8K chain-of-thought** | **0.8** | **Heavy distillation: teacher guides step-by-step math reasoning** |
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- **Teacher**: SmolLM-135M-Instruct (frozen)
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- **Time**: ~75 min on 1x A100
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- **Tokens**: 327,680,000 (0 reasoning / 20,000 general batches)
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- **Best loss**: 186.6474
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chat_template.jinja
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{% for message in messages %}{{'<|im_start|>' + message['role'] + '
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' + message['content'] + '<|im_end|>' + '
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'}}{% endfor %}{% if add_generation_prompt %}{{ '<|im_start|>assistant
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' }}{% endif %}
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config.json
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{
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"activation_function": "gelu_new",
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"add_cross_attention": false,
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"architectures": [
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"GPT2LMHeadModel"
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],
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"attn_pdrop": 0.0,
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"bos_token_id": 1,
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"dtype": "float32",
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"embd_pdrop": 0.0,
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"eos_token_id": 2,
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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_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": 512,
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"pad_token_id": null,
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"reorder_and_upcast_attn": false,
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"resid_pdrop": 0.0,
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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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"tie_word_embeddings": true,
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"transformers_version": "5.0.0",
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"use_cache": true,
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"vocab_size": 49152
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}
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generation_config.json
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{
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"_from_model_config": true,
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"bos_token_id": 1,
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"eos_token_id": 2,
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"output_attentions": false,
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"output_hidden_states": false,
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"transformers_version": "5.0.0",
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"use_cache": true
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}
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:80740b3aefcec895c40c43103c41873c4b57f8cf76dbe85beac6487400bcfb78
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size 492806784
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raw_model.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:5168c69e9f8a5df951d0e6900b3a30627680de7abe822a4ee2547d7c72029019
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size 492414052
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tokenizer.json
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tokenizer_config.json
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{
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"add_prefix_space": false,
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"backend": "tokenizers",
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"bos_token": "<|im_start|>",
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"clean_up_tokenization_spaces": false,
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"eos_token": "<|im_end|>",
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"extra_special_tokens": [
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"<|im_start|>",
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"<|im_end|>"
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],
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"is_local": false,
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"model_max_length": 1000000,
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"pad_token": "<|im_end|>",
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"tokenizer_class": "TokenizersBackend",
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"unk_token": "<|endoftext|>",
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"vocab_size": 49152
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}
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training_config.json
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{
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"teacher": "HuggingFaceTB/SmolLM-135M-Instruct",
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"general_data": "HuggingFaceFW/fineweb-edu/sample-10BT",
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"reasoning_data": "openai/gsm8k",
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"alpha_general": 0.2,
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"alpha_reasoning": 0.8,
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"reasoning_ratio": 0.25,
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"steps": 5000,
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"tokens": 327680000,
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"best_loss": 186.64740371704102,
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"reasoning_batches": 0,
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"general_batches": 20000
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}
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