FrontD.11m completed session 1
Browse files- README.md +51 -0
- config.json +31 -0
- pytorch_model.bin +3 -0
- session_000001.json +9 -0
- special_tokens_map.json +6 -0
- tokenizer.json +0 -0
- training_state/latest.pt +3 -0
- training_state/run_state.json +15 -0
- training_state/seen_examples.jsonl +0 -0
README.md
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---
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license: mit
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library_name: pytorch
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pipeline_tag: text-generation
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tags:
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- text-generation
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- pretraining
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- decoder-only
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- from-scratch
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- 11m
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- 1096-context
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- rope
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- rmsnorm
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- swiglu
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---
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# FrontD.11m
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FrontD.11m is an approximately 11-million-parameter
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decoder-only language model trained completely from scratch.
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## Architecture
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- Parameters: 10,996,608
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- Context: 1096
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- Vocabulary: 16000
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- Hidden size: 256
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- Layers: 6
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- Attention heads: 16
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- FFN size: 1152
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- RoPE
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- RMSNorm
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- SwiGLU
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- Tied input/output embeddings
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## Pretraining
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Dataset:
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`Plans11/Organized_PreTrain_1k_Context`
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Training is performed in 20,000-example sessions.
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A persistent SHA-256 ledger prevents completed examples
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from being selected again.
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Interrupted sessions resume from their latest checkpoint.
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## Training from scratch
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No pretrained model weights are imported.
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config.json
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{
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"model_type": "frontd",
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"architectures": [
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"FrontD11M"
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],
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"model_name": "FrontD.11m",
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"vocab_size": 16000,
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"context_length": 1096,
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"hidden_size": 256,
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"num_hidden_layers": 6,
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"num_attention_heads": 16,
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"intermediate_size": 1152,
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"position_embedding_type": "rope",
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"rope_theta": 10000.0,
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"normalization": "rmsnorm",
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"activation_function": "silu",
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"attention_bias": false,
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"mlp_bias": false,
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"tie_word_embeddings": true,
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"dropout": 0.0,
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"bos_token": "<bos>",
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"eos_token": "<eos>",
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"pad_token": "<pad>",
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"unk_token": "<unk>",
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"parameter_target": "~11M",
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"parameter_count": 10996608,
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"dataset": "Plans11/Organized_PreTrain_1k_Context",
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"session_examples": 20000,
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"training_from_scratch": true,
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"license": "mit"
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}
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:dc1dbc61d3691a3b5d97446b5f400c0f638c7f36b2089981751c122927a25e32
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size 44000846
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session_000001.json
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{
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"session": 1,
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"parameters": 10996608,
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"context_length": 1096,
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"vocab_size": 16000,
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"dataset": "Plans11/Organized_PreTrain_1k_Context",
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"examples_per_session": 20000,
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"uploaded_at": "2026-08-19 06:22:30 UTC"
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}
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special_tokens_map.json
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{
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"bos_token": "<bos>",
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"eos_token": "<eos>",
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"unk_token": "<unk>",
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"pad_token": "<pad>"
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}
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tokenizer.json
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training_state/latest.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:439f3806541090f30e1ed5b09aed57833bae14132ba9cc1806153f33cc8dd66f
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size 164223243
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training_state/run_state.json
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{
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"checkpoint_version": 4,
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"model_repo": "ITLL/FrontD.11m",
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"dataset_repo": "Plans11/Organized_PreTrain_1k_Context",
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"session_number": 1,
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"global_step": 313,
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"examples_seen_total": 20000,
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"session_examples_current": 20000,
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"next_batch_index": 2500,
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"session_complete": true,
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"parameter_count": 10996608,
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"context_length": 1096,
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"vocab_size": 16000,
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"updated_at": "2026-08-19 06:22:29 UTC"
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}
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training_state/seen_examples.jsonl
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