| adalora.html | 76.2 kB | | 2842869f |
| adalora.md | 10.2 kB | | bbe9d779 |
| adamss.html | 72.4 kB | | 54cd8e87 |
| adamss.md | 11.5 kB | | 22f13bb8 |
| adapter_utils.html | 39.3 kB | | 6c0743d1 |
| adapter_utils.md | 3.03 kB | | b5b0273c |
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| auto_class.md | 3.83 kB | | 7bf1bdd1 |
| beft.html | 38.6 kB | | 51281c51 |
| beft.md | 4.96 kB | | 36d820ea |
| boft.html | 61.4 kB | | 8a24e795 |
| boft.md | 10.6 kB | | 8aa4f604 |
| c3a.html | 45.7 kB | | 3f566252 |
| c3a.md | 5.25 kB | | 9cf6875f |
| cartridges.html | 38.5 kB | | a30cfdfe |
| cartridges.md | 6.02 kB | | 853caa60 |
| config.html | 69.7 kB | | c6d63581 |
| config.md | 5.2 kB | | ccead9b3 |
| cpt.html | 49.1 kB | | 334bdb39 |
| cpt.md | 5.94 kB | | ab452d74 |
| delora.html | 48.8 kB | | f8d66ecb |
| delora.md | 6.93 kB | | cacd0098 |
| fourierft.html | 50.9 kB | | 7caa3ba9 |
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| frod.html | 47.4 kB | | c59bb02a |
| frod.md | 6.02 kB | | 13440fd4 |
| functional.html | 90.7 kB | | dc760194 |
| functional.md | 8.82 kB | | 001f0ed0 |
| gralora.html | 52.4 kB | | 25e3e6d8 |
| gralora.md | 7.8 kB | | eb8c0ee7 |
| helpers.html | 61.9 kB | | d166af19 |
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| hira.html | 95.2 kB | | b608ab80 |
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| hra.html | 48.4 kB | | 1ed1e90b |
| hra.md | 6.98 kB | | 2644899e |
| ia3.html | 56.4 kB | | 69305471 |
| ia3.md | 8.45 kB | | 01e16cba |
| layernorm_tuning.html | 37.9 kB | | c350dfef |
| layernorm_tuning.md | 5.07 kB | | 2aa58597 |
| lily.html | 48.9 kB | | bb9f6d63 |
| lily.md | 9.25 kB | | e2653b57 |
| llama_adapter.html | 36.9 kB | | f1e1a69d |
| llama_adapter.md | 4.23 kB | | 45f41b64 |
| loha.html | 64.4 kB | | ea1006ed |
| loha.md | 9.34 kB | | a2646d15 |
| lokr.html | 64.7 kB | | 4ff87d54 |
| lokr.md | 8.19 kB | | 83f08e00 |
| lora.html | 404 kB | | ec0b77d5 |
| lora.md | 100 kB | | 798b3adc |
| lora_conversion.html | 75.3 kB | | b4166223 |
| lora_conversion.md | 19.5 kB | | 1cb7331c |
| lora_variant_bdlora.html | 12.6 kB | | bf4d3a21 |
| lora_variant_bdlora.md | 1.97 kB | | 376e8603 |
| lora_variant_dora.html | 19 kB | | a5cbe259 |
| lora_variant_dora.md | 3.5 kB | | 6b839aa3 |
| lora_variant_monteclora.html | 14.5 kB | | b77488b6 |
| lora_variant_monteclora.md | 3.07 kB | | 03b33588 |
| lora_variant_velora.html | 9.6 kB | | a4631f48 |
| lora_variant_velora.md | 1.9 kB | | e086b47f |
| merge_utils.html | 69.6 kB | | 463921c6 |
| merge_utils.md | 3.89 kB | | d2ebcb76 |
| miss.html | 58.1 kB | | b592b8ab |
| miss.md | 8.8 kB | | 83d6a7db |
| multitask_prompt_tuning.html | 25.1 kB | | ed69f56b |
| multitask_prompt_tuning.md | 2.82 kB | | ce1e3249 |
| oft.html | 72.8 kB | | 9067f146 |
| oft.md | 11.2 kB | | 9ae96cc8 |
| osf.html | 83.6 kB | | 76a265f4 |
| osf.md | 11.8 kB | | dfdc417a |
| p_tuning.html | 39.6 kB | | 9ed161bf |
| p_tuning.md | 5.55 kB | | d6f85285 |
| peanut.html | 46.5 kB | | 90ee0f5e |
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| peft_model.html | 450 kB | | f68d5f1d |
| peft_model.md | 57.1 kB | | 969dc3ab |
| peft_types.html | 18.5 kB | | 66e70b31 |
| peft_types.md | 1.38 kB | | 98bec656 |
| poly.html | 35.3 kB | | c2c90f2d |
| poly.md | 5.41 kB | | 9126002e |
| prefix_tuning.html | 47.1 kB | | 288487f1 |
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| prompt_tuning.html | 41.2 kB | | e9cbdd0e |
| prompt_tuning.md | 5.65 kB | | c2505d2d |
| psoft.html | 106 kB | | 18a03dbd |
| psoft.md | 12.5 kB | | 1819a6f5 |
| pvera.html | 57.6 kB | | f4524b1b |
| pvera.md | 8.41 kB | | f7e69910 |
| randlora.html | 60.5 kB | | d47ead60 |
| randlora.md | 11 kB | | a247357a |
| road.html | 30.8 kB | | 933c6e8a |
| road.md | 4.5 kB | | b005fbfe |
| shira.html | 43.4 kB | | 082f00d2 |
| shira.md | 6.15 kB | | 4e9979de |
| tinylora.html | 64.4 kB | | 9fc0485d |
| tinylora.md | 8.85 kB | | 8e1c7d25 |
| trainable_tokens.html | 28.3 kB | | 09c6198c |
| trainable_tokens.md | 4.43 kB | | b3c3a9f7 |
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