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Model: llm-jp/optimal-sparsity-math-d2048-E16-k4-7.1B-A2.3B Source: Original Platform
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---
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pipeline_tag: text-generation
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library_name: transformers
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license: apache-2.0
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tags:
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- mixtral
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- moe
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- reasoning
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---
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# Optimal Sparsity of Mixture-of-Experts Language Models for Reasoning Tasks
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This repository contains model checkpoints from the paper [Optimal Sparsity of Mixture-of-Experts Language Models for Reasoning Tasks](https://huggingface.co/papers/2508.18672).
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For more details, including code and evaluation procedures, please refer to the official GitHub repository: [https://github.com/rioyokotalab/optimal-sparsity](https://github.com/rioyokotalab/optimal-sparsity)
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## How to cite
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If you find our work helpful, please feel free to cite the paper.
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```bibtex
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@inproceedings{
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nakamura2026optimal,
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title={Optimal Sparsity of Mixture-of-Experts Language Models for Reasoning Tasks},
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author={Taishi Nakamura and Satoki Ishikawa and Masaki Kawamura and Takumi Okamoto and Daisuke Nohara and Jun Suzuki and Rio Yokota},
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booktitle={The Fourteenth International Conference on Learning Representations},
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year={2026},
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url={https://openreview.net/forum?id=XFw2EPRUUR}
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}
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```
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],
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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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"hidden_act": "silu",
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"hidden_size": 2048,
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"initializer_range": 0.02,
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"intermediate_size": 4096,
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"max_position_embeddings": 4096,
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"mlp_bias": false,
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"model_type": "mixtral",
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"num_attention_heads": 16,
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"num_experts_per_tok": 4,
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"num_hidden_layers": 16,
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"num_local_experts": 16,
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"output_router_logits": false,
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"rms_norm_eps": 1e-05,
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"rope_theta": 10000,
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"vocab_size": 99584
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}
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10
special_tokens_map.json
Normal file
10
special_tokens_map.json
Normal file
@@ -0,0 +1,10 @@
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||||
{
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||||
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||||
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||||
}
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||||
3
tokenizer.json
Normal file
3
tokenizer.json
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
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18
tokenizer_config.json
Normal file
18
tokenizer_config.json
Normal file
@@ -0,0 +1,18 @@
|
||||
{
|
||||
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||||
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"tokenizer_class": "PreTrainedTokenizerFast"
|
||||
}
|
||||
Reference in New Issue
Block a user