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Browse files- README.md +51 -0
- config.json +29 -0
- generation_config.json +6 -0
- model.safetensors +3 -0
- special_tokens_map.json +23 -0
- tokenizer.json +0 -0
- tokenizer.model +3 -0
- tokenizer_config.json +43 -0
README.md
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---
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language:
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- en
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tags:
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- causal-lm
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- llama
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- point-in-time
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- dated
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- lookahead-bias-free
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pipeline_tag: text-generation
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---
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# DatedGPT-2013 (base)
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**DatedGPT** is a family of point-in-time language models: each vintage is
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trained only on data available up to its cutoff date, making it suitable for
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lookahead-bias-free prediction and point-in-time analysis.
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This is the **base (pretrained) model** with data up to **2013** — no
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instruction tuning. For the instruction-tuned variants, see the
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`datedgpt-instruct-*` repositories in this organization.
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| Property | Value |
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|----------|-------|
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| Architecture | LlamaForCausalLM |
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| Parameters | ~1.3 B |
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| Context length | 2048 |
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| Vocab | 32,000 (SentencePiece) |
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| Precision | bfloat16 |
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| Data vintage | 2013 |
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## Usage
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```python
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import torch
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from transformers import AutoTokenizer, AutoModelForCausalLM
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repo_id = "datedgpt/datedgpt-2013-base"
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tokenizer = AutoTokenizer.from_pretrained(repo_id)
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model = AutoModelForCausalLM.from_pretrained(repo_id, torch_dtype=torch.bfloat16, device_map="auto")
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inputs = tokenizer("The stock market in 2013", return_tensors="pt").to(model.device)
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output = model.generate(**inputs, max_new_tokens=64, use_cache=True)
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print(tokenizer.decode(output[0], skip_special_tokens=True))
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```
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## Limitations
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- Base model: completions only, no chat/instruction following.
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- Knowledge limited to the 2013 data vintage.
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- No RLHF or safety tuning.
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config.json
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{
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"architectures": [
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"LlamaForCausalLM"
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],
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"attention_bias": false,
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"attention_dropout": 0.0,
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"bos_token_id": 1,
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"eos_token_id": 2,
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"head_dim": 128,
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"hidden_act": "silu",
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"hidden_size": 2048,
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"initializer_range": 0.02,
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"intermediate_size": 5504,
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"max_position_embeddings": 2048,
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"mlp_bias": false,
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"model_type": "llama",
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"num_attention_heads": 16,
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"num_hidden_layers": 24,
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"num_key_value_heads": 16,
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"pretraining_tp": 1,
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"rms_norm_eps": 1e-05,
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"rope_scaling": null,
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"rope_theta": 10000.0,
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"tie_word_embeddings": false,
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"torch_dtype": "bfloat16",
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"transformers_version": "4.52.4",
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"use_cache": true,
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"vocab_size": 32000
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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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"transformers_version": "4.52.4"
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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 sha256:9c84a49091f88c67f2aa003836d8d2ad02a8ff9d9581a4d9b435114848741895
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size 2690871976
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special_tokens_map.json
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{
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"bos_token": {
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"content": "<s>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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},
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"eos_token": {
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"content": "</s>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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},
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"unk_token": {
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"content": "<unk>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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}
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}
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tokenizer.json
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tokenizer.model
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version https://git-lfs.github.com/spec/v1
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oid sha256:9e556afd44213b6bd1be2b850ebbbd98f5481437a8021afaf58ee7fb1818d347
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size 499723
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tokenizer_config.json
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{
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"add_bos_token": true,
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"add_eos_token": false,
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"add_prefix_space": null,
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"added_tokens_decoder": {
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"0": {
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"content": "<unk>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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"1": {
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"content": "<s>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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"2": {
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"content": "</s>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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}
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},
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"bos_token": "<s>",
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"clean_up_tokenization_spaces": false,
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"eos_token": "</s>",
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"extra_special_tokens": {},
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"legacy": false,
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"model_max_length": 2048,
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"pad_token": null,
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"padding_side": "right",
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"sp_model_kwargs": {},
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"tokenizer_class": "LlamaTokenizer",
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"unk_token": "<unk>",
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"use_default_system_prompt": false
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}
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