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null
xmemtransfer-llama2-source-10m
source_memory
NousResearch/Llama-2-7b-hf
null
null
null
null
null
null
null
null
null
null
null
null
null
OLAResearchX/xmemtransfer-llama2-source-10m
null
false
null
null
null
null
null
null
null
XMemTransfer LLaMA-2 source memory (10M)
10m
null
xmemtransfer-llama2-source-15m
source_memory
NousResearch/Llama-2-7b-hf
null
null
null
null
null
null
null
null
null
null
null
null
null
OLAResearchX/xmemtransfer-llama2-source-15m
null
false
null
null
null
null
null
null
null
XMemTransfer LLaMA-2 source memory (15M)
15m
null
xmemtransfer-llama2-source-20m
source_memory
NousResearch/Llama-2-7b-hf
null
null
null
null
null
null
null
null
null
null
null
null
null
OLAResearchX/xmemtransfer-llama2-source-20m
null
false
null
null
null
null
null
null
null
XMemTransfer LLaMA-2 source memory (20M)
20m
null
xmemtransfer-llama2-source-25m
source_memory
NousResearch/Llama-2-7b-hf
null
null
null
null
null
null
null
null
null
null
null
null
null
OLAResearchX/xmemtransfer-llama2-source-25m
null
false
null
null
null
null
null
null
null
XMemTransfer LLaMA-2 source memory (25M)
25m
null
xmemtransfer-llama2-source-30m
source_memory
NousResearch/Llama-2-7b-hf
null
null
null
null
null
null
null
null
null
null
null
null
null
OLAResearchX/xmemtransfer-llama2-source-30m
null
false
null
null
null
null
null
null
null
XMemTransfer LLaMA-2 source memory (30M)
30m
4,882
xmemtransfer-mistral-from-llama2-r4-10m10m
target_adaptor
mistralai/Mistral-7B-v0.3
4,500
9.228136
transferred
1.871287
0.029006
0.023889
0.999999
0.494295
0.489888
0.002365
0.316117
0.668401
0.224394
OLAResearchX/xmemtransfer-mistral-from-llama2-r4-10m10m
0
true
42
true
OLAResearchX/xmemtransfer-llama2-source-10m
null
null
null
null
XMemTransfer Mistral adaptor from LLaMA-2 source (R4, 10M/10M)
10m
7,324
xmemtransfer-mistral-from-llama2-r4-15m15m
target_adaptor
mistralai/Mistral-7B-v0.3
7,000
8.852332
transferred
2.828927
0.030796
0.026853
1
0.489762
0.483772
0.000456
0.309039
0.665279
0.226862
OLAResearchX/xmemtransfer-mistral-from-llama2-r4-15m15m
0
true
42
true
OLAResearchX/xmemtransfer-llama2-source-15m
null
null
null
null
XMemTransfer Mistral adaptor from LLaMA-2 source (R4, 15M/15M)
15m
9,765
xmemtransfer-mistral-from-llama2-r4-20m20m
target_adaptor
mistralai/Mistral-7B-v0.3
9,500
8.58454
transferred
3.813666
0.029259
0.029583
1
0.483866
0.476918
0.000244
0.301752
0.659539
0.227535
OLAResearchX/xmemtransfer-mistral-from-llama2-r4-20m20m
0
true
42
true
OLAResearchX/xmemtransfer-llama2-source-20m
null
null
null
null
XMemTransfer Mistral adaptor from LLaMA-2 source (R4, 20M/20M)
20m
12,207
xmemtransfer-mistral-from-llama2-r4-25m25m
target_adaptor
mistralai/Mistral-7B-v0.3
12,000
8.480824
transferred
4.80569
0.028945
0.030899
0.999999
0.479121
0.470493
0.000258
0.297
0.653837
0.227563
OLAResearchX/xmemtransfer-mistral-from-llama2-r4-25m25m
0
true
42
true
OLAResearchX/xmemtransfer-llama2-source-25m
null
null
null
null
XMemTransfer Mistral adaptor from LLaMA-2 source (R4, 25M/25M)
25m
14,648
xmemtransfer-mistral-from-llama2-r4-30m30m
target_adaptor
mistralai/Mistral-7B-v0.3
14,000
8.33989
transferred
5.750856
0.027964
0.032778
0.999999
0.47365
0.463506
0.000192
0.291212
0.64768
0.227585
OLAResearchX/xmemtransfer-mistral-from-llama2-r4-30m30m
0
true
42
true
OLAResearchX/xmemtransfer-llama2-source-30m
null
null
null
null
XMemTransfer Mistral adaptor from LLaMA-2 source (R4, 30M/30M)
30m
null
xmemtransfer-qwen35-08b-source-50m
source_memory
Qwen/Qwen3.5-0.8B-Base
null
null
null
null
null
null
null
null
null
null
null
null
null
OLAResearchX/xmemtransfer-qwen35-08b-source-50m
null
false
null
null
null
null
null
null
null
XMemTransfer Qwen3.5-0.8B source memory (50M)
50m
2,441
xmemtransfer-qwen35-q2b-from-qwen35-08b-20m
target_adaptor
Qwen/Qwen3.5-2B-Base
2,000
11.882414
transferred
5.746621
0.08549
0.021403
0.999999
0.516338
0.500241
0.017135
0.319099
0.697629
0.247352
OLAResearchX/xmemtransfer-qwen35-q2b-from-qwen35-08b-20m
0
true
42
true
OLAResearchX/xmemtransfer-qwen35-08b-source-50m
null
null
null
null
XMemTransfer Qwen3.5-2B adaptor from Qwen3.5-0.8B source (20M)
20m
2,441
xmemtransfer-qwen35-q4b-from-qwen35-08b-20m
target_adaptor
Qwen/Qwen3.5-4B-Base
2,000
9.689974
transferred
7.585358
0.118958
0.013021
1
0.574809
0.57471
0.007468
0.378916
0.770952
0.247339
OLAResearchX/xmemtransfer-qwen35-q4b-from-qwen35-08b-20m
0
true
42
true
OLAResearchX/xmemtransfer-qwen35-08b-source-50m
null
null
null
null
XMemTransfer Qwen3.5-4B adaptor from Qwen3.5-0.8B source (20M)
20m
4,882
xmemtransfer-qwen35-q9b-from-qwen35-08b-20m
target_adaptor
Qwen/Qwen3.5-9B-Base
4,500
8.408332
transferred
16.670752
0.208723
0.008839
1
0.661597
0.696474
0.001067
0.477751
0.872361
0.246812
OLAResearchX/xmemtransfer-qwen35-q9b-from-qwen35-08b-20m
0
true
42
true
OLAResearchX/xmemtransfer-qwen35-08b-source-50m
null
null
null
null
XMemTransfer Qwen3.5-9B adaptor from Qwen3.5-0.8B source (20M)
20m
null
xmemtransfer-pythia160m-source-50m
source_memory
EleutherAI/pythia-160m
null
null
null
null
null
null
null
null
null
null
null
null
null
OLAResearchX/xmemtransfer-pythia160m-source-50m
null
false
null
null
null
null
null
null
null
XMemTransfer Pythia-160M source memory (50M)
50m
null
xmemtransfer-pythia160m-source-50m-word-boundary
source_memory
EleutherAI/pythia-160m
null
null
null
null
null
null
null
null
null
null
null
null
null
OLAResearchX/xmemtransfer-pythia160m-source-50m-word-boundary
null
false
null
null
null
null
null
null
null
XMemTransfer Pythia-160M source memory (50M, word-boundary)
50m
2,441
xmemtransfer-pythia410m-from-pythia160m-20m
target_adaptor
EleutherAI/pythia-410m
2,000
22.509401
transferred
0.129185
0.063797
0.016192
0.999998
0.52496
0.518675
0.008072
0.342414
0.698216
0.233045
OLAResearchX/xmemtransfer-pythia410m-from-pythia160m-20m
0
true
42
true
OLAResearchX/xmemtransfer-pythia160m-source-50m
null
null
null
null
XMemTransfer Pythia-410M adaptor from Pythia-160M source (20M)
20m
2,441
xmemtransfer-tinyllama-from-pythia160m-20m
target_adaptor
TinyLlama/TinyLlama-1.1B-Chat-v1.0
2,000
10.313475
transferred
0.337679
0.048119
0.029612
1
0.503321
0.497756
0.001364
0.31499
0.686292
0.236764
OLAResearchX/xmemtransfer-tinyllama-from-pythia160m-20m
0
true
42
true
OLAResearchX/xmemtransfer-pythia160m-source-50m-word-boundary
null
null
null
null
XMemTransfer TinyLlama-1.1B adaptor from Pythia-160M source (20M)
20m
2,441
xmemtransfer-qwen35-4b-from-pythia160m-20m
target_adaptor
Qwen/Qwen3.5-4B-Base
2,000
10.313199
transferred
7.898183
0.083903
0.021362
1
0.538426
0.535894
0.001046
0.346512
0.722851
0.243454
OLAResearchX/xmemtransfer-qwen35-4b-from-pythia160m-20m
0
true
42
true
OLAResearchX/xmemtransfer-pythia160m-source-50m
null
null
null
null
XMemTransfer Qwen3.5-4B adaptor from Pythia-160M source (20M)
20m
9,765
xmemtransfer-mistral-self-r4-20m
target_adaptor
mistralai/Mistral-7B-v0.3
9,500
8.586427
transferred
3.814954
0.029002
0.029491
1
0.483802
0.476869
0.000303
0.302006
0.659309
0.227298
OLAResearchX/xmemtransfer-mistral-self-r4-20m
0
true
42
true
null
null
null
null
null
XMemTransfer Mistral self-transfer adaptor (R4, 20M)
null

XMemTransfer Results

This dataset is the machine-readable release manifest and result summary for Cross-Model Memory Transfer via Target-Side Reader Adaptation. Each row describes one released XMemTransfer source-memory or target-adaptor repository. When a released artifact has a results.json, the row also includes its validation-perplexity and gate-statistic summary.

Dataset contents

The train split contains 20 release-manifest rows. Twelve rows include result summaries copied from the corresponding released model artifacts. Null metric fields mean that the artifact is a source memory without a target-adaptor result summary.

Important fields:

  • artifact_id, artifact_kind, and hf_repo: released artifact identity.
  • base_model and source_memory_repo: model provenance.
  • token_budget: target-side fitting budget for adaptors, or source-memory training budget for source artifacts.
  • best_val_ppl, training-step fields, and gate_*: values recorded by the released experiment's results.json.

Scope and limitations

This is experiment and release metadata, not a language-model training corpus or a benchmark. It does not redistribute WikiText, evaluation examples, or model weights. Metrics are run summaries and should be interpreted with the experimental setup in the paper and repository. Local filesystem paths in the original run outputs are deliberately excluded.

Datasets used by the paper

The experiments use the following public corpora and evaluation datasets. They are listed here as references only; this release does not mirror their data:

See the paper's dataset and evaluation protocol for the exact splits and preprocessing. Wikipedia-2021 is the factual/encyclopedic corpus used for the QA memory-contribution experiments.

OLAResearchX/XMemTransfer-Results is a release-results and metadata index. Its arxiv:2608.17050 tag is what makes it appear under Datasets citing this paper on the paper page; that Hugging Face panel lists repositories that declare a paper link, rather than automatically listing every external source dataset referenced in this card.

License

Apache-2.0, matching the XMemTransfer code release.

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