Modelpublic

AlekseyCalvin/Lyrical_MT_ru2en_2c_Gemma3n_e4b_orpo_r32_adapter

sourceHugging Faceapache-2.0updated 1y agoView on Hugging Face

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Model Card

LYRICAL Russian to English Machine Translation Model

Variant 0.23a: ORPO-tuned Gemma3n-E4B-Instruct Rank32 Adapter

—Developed by: SilverAgePoets.com
—Model type: [Lyrical Machine Translation]
—Languages (NLP): [Совпоюзный, Worldish] aka [Russian, English]
—Finetuned from: [unsloth/gemma-3n-e4b-it-unsloth-bnb-4bit]

Experimental WIP prototype Rank 32/Alpha 32 adapter for Gemma3n-E4B-Instruct base model. This adapter belongs to our Lyrical MT (Machine Translation) series of fine-tuned LLMs and adapters. Our ultimate aim with the Lyrical MT project is to iteratively foster a translation model capable of adaptively localizing idiomatic, formal/poetic/rhythmic, and performance-catered features of lyrical input texts, whilst retaining adequate accuracy at the level of direct semantic translation.

USES:

Intended scope of effective applicability limited to: Russian to English translation of song lyrics, poems, scriptures, slogans, etc... Translation from a Russian-language input text structured in accordance with literary, aesthetic, or/and vocalization-catering compositional devices to an English output text exhibiting cross-lingually rebalanced approximations of source-matched formal features.

Depending on the relative performance, foundations, and the idiosyncracies of a given checkpoint/adapter variant in the Lyrical MT series, the above-suggested applicability scope may plausibly extend to: Russian to English text-to-text translation in general. English to Russian translation.

The Lyrical MT models were fine-tuned primarily on single-line (fragment), double-line (couplet), quadruple-line (quatrain), and full-length bilingual textual inputs.