| adalora.html | 64.7 kB | | a89e241c |
| adalora.md | 6.27 kB | | bce4c6da |
| adamss.html | 70.1 kB | | 2d810c2a |
| adamss.md | 11.3 kB | | f9080d89 |
| adapter_utils.html | 39.2 kB | | b83b0f75 |
| adapter_utils.md | 3.03 kB | | 4f0d08a8 |
| auto_class.html | 44.7 kB | | 8699c951 |
| auto_class.md | 2.52 kB | | 75e14fcc |
| boft.html | 48.5 kB | | 38243872 |
| boft.md | 5.65 kB | | f87b2183 |
| c3a.html | 43.6 kB | | 43a83595 |
| c3a.md | 5.06 kB | | 03f11389 |
| cartridges.html | 37.9 kB | | 8c4bbbe8 |
| cartridges.md | 6.01 kB | | 7b6dcf84 |
| config.html | 69.6 kB | | 07fb2ae8 |
| config.md | 5.2 kB | | a1d6e1c9 |
| cpt.html | 46.2 kB | | e19718ca |
| cpt.md | 5.32 kB | | 916783b5 |
| delora.html | 46.8 kB | | 1b5dad22 |
| delora.md | 6.74 kB | | 29df1a7c |
| fourierft.html | 48.9 kB | | c2159dcc |
| fourierft.md | 7.3 kB | | 04cdae8d |
| functional.html | 90.6 kB | | aa78e57b |
| functional.md | 8.82 kB | | 9a97f61d |
| gralora.html | 10.1 kB | | 57ebdfb2 |
| gralora.md | 2.59 kB | | 3ebdf806 |
| helpers.html | 43.5 kB | | 0eba873d |
| helpers.md | 3.79 kB | | 9040ad1a |
| hotswap.html | 47.2 kB | | 0cd0086d |
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| hra.html | 46 kB | | f76892b0 |
| hra.md | 6.03 kB | | 78c61674 |
| ia3.html | 48.9 kB | | 54818011 |
| ia3.md | 6.03 kB | | 546f0033 |
| layernorm_tuning.html | 35.8 kB | | 00440772 |
| layernorm_tuning.md | 4.88 kB | | c2a7159a |
| lily.html | 46.8 kB | | 5c33635b |
| lily.md | 9.06 kB | | f4896e19 |
| llama_adapter.html | 34.5 kB | | 5d3b4a50 |
| llama_adapter.md | 3.95 kB | | 714a0326 |
| loha.html | 53.5 kB | | f3026542 |
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| lokr.html | 57.2 kB | | b3ce3c4e |
| lokr.md | 5.82 kB | | ea8284b0 |
| lora.html | 244 kB | | 17f4c06d |
| lora.md | 37.4 kB | | 630068eb |
| lora_conversion.html | 75.2 kB | | d69deb6e |
| lora_conversion.md | 19.5 kB | | 0c4bd4fc |
| merge_utils.html | 69.5 kB | | 591cdc77 |
| merge_utils.md | 3.89 kB | | 4beae1e9 |
| miss.html | 47.4 kB | | c357c321 |
| miss.md | 6.52 kB | | 1152ae96 |
| multitask_prompt_tuning.html | 21.6 kB | | b3dd710b |
| multitask_prompt_tuning.md | 1.82 kB | | 6805840e |
| oft.html | 59.9 kB | | 17f429a3 |
| oft.md | 6.96 kB | | 67f186ba |
| osf.html | 82.3 kB | | 16b9c34d |
| osf.md | 11.6 kB | | c3a3652b |
| p_tuning.html | 32.9 kB | | 150c3904 |
| p_tuning.md | 3.89 kB | | fc3acc9b |
| peanut.html | 44.4 kB | | 53c90722 |
| peanut.md | 6.72 kB | | e8dee9b1 |
| peft_model.html | 449 kB | | 30104937 |
| peft_model.md | 56.4 kB | | 1256c1d1 |
| peft_types.html | 18.3 kB | | df095dab |
| peft_types.md | 1.36 kB | | e0757735 |
| poly.html | 34.5 kB | | 86e89767 |
| poly.md | 5.29 kB | | 2c16178a |
| prefix_tuning.html | 39.9 kB | | f8e24661 |
| prefix_tuning.md | 6.04 kB | | 5872f0e9 |
| prompt_tuning.html | 34.5 kB | | db9fba31 |
| prompt_tuning.md | 4.04 kB | | f52193fa |
| psoft.html | 103 kB | | 231c9d8e |
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| pvera.html | 53.9 kB | | 8ce3e045 |
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| randlora.html | 58.4 kB | | 217dae73 |
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| road.html | 28.7 kB | | 4e51787c |
| road.md | 4.34 kB | | 596f9334 |
| shira.html | 41.3 kB | | 519010fa |
| shira.md | 5.94 kB | | f165f163 |
| tinylora.html | 62.3 kB | | e27cf06d |
| tinylora.md | 8.66 kB | | ce5b3044 |
| trainable_tokens.html | 26.3 kB | | 7e13312b |
| trainable_tokens.md | 4.25 kB | | 2987fb93 |
| tuners.html | 136 kB | | 9c139a7b |
| tuners.md | 12.2 kB | | ab99aaf9 |
| vblora.html | 67 kB | | c527c842 |
| vblora.md | 8.91 kB | | dd7abba7 |
| vera.html | 50.9 kB | | 6657c2cd |
| vera.md | 5 kB | | 48e3ae97 |
| waveft.html | 45.9 kB | | 6a17d1df |
| waveft.md | 6.39 kB | | 7816a7fa |
| xlora.html | 91 kB | | 79983e17 |
| xlora.md | 12.1 kB | | cdb28e99 |
