初始化项目，由ModelHub XC社区提供模型
Model: dlab-spp/filtered-3b-base Source: Original Platform
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README.md
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---
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license: other
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language:
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- en
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library_name: transformers
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pipeline_tag: text-generation
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tags:
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- spp
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- synthetic-persona-pretraining
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- spp
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- alignment
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- safety
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---
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# Filtered — Base (3B)
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**Type:** base (pretrained) model. Not instruction-tuned and ships no chat template.
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Filtered baseline. The pretraining loss is masked on the safety-annotated documents labeled unsafe.
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Instruction-tuned counterpart: [`dlab-spp/filtered-3b-instruct`](https://huggingface.co/dlab-spp/filtered-3b-instruct).
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## Model details
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- **Architecture:** Llama-3.2-3B-shaped, trained from scratch.
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- **Tokenizer:** the original SmolLM2 tokenizer (vocabulary 49152).
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- **Pretraining:** ~500B tokens on a subset of the Olmo 3 Dolma 3 mixture.
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## Training checkpoints
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Intermediate checkpoints are published as git revisions on this repo, so any point in the trajectory can be loaded by passing `revision=`:
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```python
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from transformers import AutoModelForCausalLM, AutoTokenizer
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import torch
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repo = "dlab-spp/filtered-3b-base"
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tok = AutoTokenizer.from_pretrained(repo) # identical at every revision
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model = AutoModelForCausalLM.from_pretrained(
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repo, revision="step-25000", dtype=torch.bfloat16, device_map="auto"
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)
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```
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| Revision | Pretraining step | Tokens seen | LR phase |
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|---|---|---|---|
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| `step-25000` | 25,000 / 254,313 | ~49.2B | stable |
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| `step-50000` | 50,000 / 254,313 | ~98.3B | stable |
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| `step-75000` | 75,000 / 254,313 | ~147B | stable |
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| `step-100000` | 100,000 / 254,313 | ~197B | stable |
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| `step-125000` | 125,000 / 254,313 | ~246B | stable |
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| `step-150000` | 150,000 / 254,313 | ~295B | stable |
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| `step-175000` | 175,000 / 254,313 | ~344B | stable |
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| `step-200000` | 200,000 / 254,313 | ~393B | stable |
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| `step-225000` | 225,000 / 254,313 | ~442B | stable |
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| `step-240000` | 240,000 / 254,313 | ~472B | linear decay |
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| `step-254313` | 254,313 / 254,313 | ~500B | linear decay — same weights as `main` |
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`main` always holds the finished model (step 254,313).
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Only model weights are published — optimizer and RNG state are not included, so these revisions support evaluation, probing, and fine-tuning, but not exact resumption of the original run.
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## Intended use
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Research on alignment and safety. As a base model it is meant for continuation, probing, or further fine-tuning; it is not instruction-tuned and can produce incorrect or unsafe content.
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## Links
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- Paper: [Synthetic Persona Pretraining: Alignment from Token Zero](https://arxiv.org/abs/2608.13482)
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## Citation
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```bibtex
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@misc{minder2026syntheticpersonapretrainingalignment,
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title={Synthetic Persona Pretraining: Alignment from Token Zero},
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author={Julian Minder and Viktor Moskvoretskii and Raghav Singhal and Difan Jiao and Andy Arditi and Shaobo Cui and Yiderigun Borjigin and Kartik Bali and Stefan Krsteski and Harsh Raj and Huu Nguyen and Jannik Brinkmann and Ashton Anderson and Roland Aydin and Robert West},
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year={2026},
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eprint={2608.13482},
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archivePrefix={arXiv},
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primaryClass={cs.LG},
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url={https://arxiv.org/abs/2608.13482},
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}
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```
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_License: to be finalised._
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config.json
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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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"dtype": "bfloat16",
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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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"initializer_range": 0.02,
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"mlp_bias": false,
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"model_type": "llama",
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"tie_word_embeddings": true,
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"transformers_version": "4.57.6",
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"use_cache": true,
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"vocab_size": 49152
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}
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||||
34
special_tokens_map.json
Normal file
34
special_tokens_map.json
Normal file
@@ -0,0 +1,34 @@
|
||||
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|
||||
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|
||||
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||||
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|
||||
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|
||||
98249
tokenizer.json
Normal file
98249
tokenizer.json
Normal file
File diff suppressed because it is too large
Load Diff
154
tokenizer_config.json
Normal file
154
tokenizer_config.json
Normal file
@@ -0,0 +1,154 @@
|
||||
{
|
||||
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|
||||
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|
||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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|
||||
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|
||||
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|
||||
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||||
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||||
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||||
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||||
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||||
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||||
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|
||||
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||||
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||||
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||||
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||||
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|
||||
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||||
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||||
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||||
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||||
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||||
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|
||||
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|
||||
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|
||||
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|
||||
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||||
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|
||||
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|
||||
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||||
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||||
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|
||||
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||||
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|
||||
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||||
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|
||||
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|
||||
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|
||||
"special": true
|
||||
},
|
||||
"12": {
|
||||
"content": "<jupyter_text>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"13": {
|
||||
"content": "<jupyter_code>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"14": {
|
||||
"content": "<jupyter_output>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"15": {
|
||||
"content": "<jupyter_script>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"16": {
|
||||
"content": "<empty_output>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
}
|
||||
},
|
||||
"additional_special_tokens": [
|
||||
"<|im_start|>",
|
||||
"<|im_end|>"
|
||||
],
|
||||
"bos_token": "<|im_start|>",
|
||||
"chat_template": "{% for message in messages %}{% if loop.first and messages[0]['role'] != 'system' %}{{ '<|im_start|>system\nYou are a helpful AI assistant named SmolLM, trained by Hugging Face<|im_end|>\n' }}{% endif %}{{'<|im_start|>' + message['role'] + '\n' + message['content'] + '<|im_end|>' + '\n'}}{% endfor %}{% if add_generation_prompt %}{{ '<|im_start|>assistant\n' }}{% endif %}",
|
||||
"clean_up_tokenization_spaces": false,
|
||||
"eos_token": "<|im_end|>",
|
||||
"model_max_length": 8192,
|
||||
"pad_token": "<|im_end|>",
|
||||
"tokenizer_class": "GPT2Tokenizer",
|
||||
"unk_token": "<|endoftext|>",
|
||||
"vocab_size": 49152
|
||||
}
|
||||
1
vocab.json
Normal file
1
vocab.json
Normal file
File diff suppressed because one or more lines are too long
Reference in New Issue
Block a user