Upload 10 files
Browse files- LICENSE.txt +21 -0
- README.md +54 -3
- config.json +59 -0
- generation_config.json +6 -0
- model-00001-of-00002.safetensors +3 -0
- model-00002-of-00002.safetensors +3 -0
- model.safetensors.index.json +346 -0
- special_tokens_map.json +23 -0
- tokenizer.json +0 -0
- tokenizer_config.json +44 -0
LICENSE.txt
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MIT License
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Copyright (c) 2025 Idiap Research Institute
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Permission is hereby granted, free of charge, to any person obtaining a copy
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of this software and associated documentation files (the "Software"), to deal
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in the Software without restriction, including without limitation the rights
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to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
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copies of the Software, and to permit persons to whom the Software is
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furnished to do so, subject to the following conditions:
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The above copyright notice and this permission notice shall be included in all
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copies or substantial portions of the Software.
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THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
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IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
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FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
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AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
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LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
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OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
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SOFTWARE.
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README.md
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---
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license: mit
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-
---
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---
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license: mit
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---
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# gated-deltanet-nsa-1.4B-30B
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Gated DeltaNet + native sparse attention (1.4B params, 30B tokens)
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## Overview
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* **Training**: gated-deltanet-attn-0.4B-10B was trained on [FineWeb-Edu](https://huggingface.co/datasets/HuggingFaceFW/fineweb-edu), which is realeased under [ODC-By v1.0](https://opendatacommons.org/licenses/by/1-0/)
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* **Parameters**: 1.4B
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* **Task**: Language modeling
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* **Framework**: HuggingFace, [flash-linear-attention](https://github.com/fla-org/flash-linear-attention)
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* **Output structure**: [batch_size, sequence_length, num_logits]
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## Performance
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Various; available in paper
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## Running Code
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* Minimal code to instantiate the model and perform inference:
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```python
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# Requires flash-linear-attention (https://github.com/fla-org/flash-linear-attention)
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import fla
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from transformers import AutoModelForCausalLM, AutoTokenizer
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model = AutoModelForCausalLM.from_pretrained(path_to_model).cuda()
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tokenizer = AutoTokenizer.from_pretrained(path_to_model).cuda()
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input_ids = tokenizer("All human beings are", return_tensors="pt").input_ids
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outputs = model.generate(input_ids, max_length=15)
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print(tokenizer.decode(outputs[0], skip_special_tokens=True))
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```
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## License
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HyperFace is released under [MIT License](LICENSE.txt)
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## Citation
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If you find our work useful, please cite the following publication:
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```bibtex
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@misc{he_alleviating_2025,
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title = {Alleviating {Forgetfulness} of {Linear} {Attention} by {Hybrid} {Sparse} {Attention} and {Contextualized} {Learnable} {Token} {Eviction}},
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url = {http://arxiv.org/abs/2510.20787},
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doi = {10.48550/arXiv.2510.20787},
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publisher = {arXiv},
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author = {He, Mutian and Garner, Philip N.},
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month = oct,
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year = {2025},
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note = {arXiv:2510.20787 [cs]},
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}
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```
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config.json
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{
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"_name_or_path": "/idiap/home/mhe/repo/flame/exp/hybrid_gated_deltanet-nsa-1.3B-30B/batch1M.seqlen4096.warmup512.steps30720.lr3e-4/config.json",
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"architectures": [
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"HybridGatedDeltaNetForCausalLM"
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],
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"attn": {
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"attn_type": "nsa",
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"block_counts": 16,
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"block_size": 64,
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"head_dim": 64,
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"layers": [
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],
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"num_heads": 32,
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"num_kv_heads": 2,
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"qkv_bias": false,
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"rope_theta": 10000.0,
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"window_size": 512
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},
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"attn_mode": "chunk",
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"bos_token_id": 1,
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"conv_size": 4,
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"eos_token_id": 2,
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"expand_v": 1,
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"fuse_cross_entropy": true,
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"fuse_norm": true,
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"fuse_swiglu": true,
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"head_dim": 256,
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"hidden_act": "swish",
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"hidden_ratio": 4,
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"hidden_size": 2048,
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"initializer_range": 0.006,
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"intermediate_size": null,
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"max_position_embeddings": 4096,
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"model_type": "hybrid_gated_deltanet",
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"norm_eps": 1e-06,
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"num_heads": 8,
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"num_hidden_layers": 24,
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"tie_word_embeddings": false,
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"torch_dtype": "float32",
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"transformers_version": "4.49.0",
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"use_beta": true,
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"use_cache": true,
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"use_gate": true,
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"use_output_norm": true,
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"use_short_conv": 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": "4.49.0"
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}
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model-00001-of-00002.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:6a9c00242508270fc36c50e84b92ca8063ef5d3c0490c6d8a3b2e0ffc0e6141c
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size 4984979984
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model-00002-of-00002.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:2c93bc730f1cc6f01784e40a8a9d625b16a21173a43f22e3fb5f423b0f494dc5
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size 308289864
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model.safetensors.index.json
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{
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"metadata": {
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special_tokens_map.json
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tokenizer.json
ADDED
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tokenizer_config.json
ADDED
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|
| 19 |
+
"single_word": false,
|
| 20 |
+
"special": true
|
| 21 |
+
},
|
| 22 |
+
"2": {
|
| 23 |
+
"content": "</s>",
|
| 24 |
+
"lstrip": false,
|
| 25 |
+
"normalized": false,
|
| 26 |
+
"rstrip": false,
|
| 27 |
+
"single_word": false,
|
| 28 |
+
"special": true
|
| 29 |
+
}
|
| 30 |
+
},
|
| 31 |
+
"additional_special_tokens": [],
|
| 32 |
+
"bos_token": "<s>",
|
| 33 |
+
"clean_up_tokenization_spaces": false,
|
| 34 |
+
"eos_token": "</s>",
|
| 35 |
+
"extra_special_tokens": {},
|
| 36 |
+
"legacy": true,
|
| 37 |
+
"model_max_length": 1000000000000000019884624838656,
|
| 38 |
+
"pad_token": null,
|
| 39 |
+
"sp_model_kwargs": {},
|
| 40 |
+
"spaces_between_special_tokens": false,
|
| 41 |
+
"tokenizer_class": "LlamaTokenizer",
|
| 42 |
+
"unk_token": "<unk>",
|
| 43 |
+
"use_default_system_prompt": false
|
| 44 |
+
}
|