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Comparison of multilingual-e5-large-instruct, TRELLIS.2 LoRA Inference
2 modelsintfloatmultilingual-e5-large-instructRemove ×fal-aiTRELLIS.2 LoRA InferenceRemove ×
What’s differentThe Multilingual-E5 models, initialized from XLM-RoBERTa, support up to 512 tokens per input — any longer text will be silently truncated. To ensure optimal performance, always prefix inputs with “query:”…Run inference on LoRA adapters for TRELLIS.2 model
DateApr 17, 2025ListedJun 23, 2026Listed
Listed rateSee provider quotesSee provider quotes
Provider endpoints0 endpoints →0 endpoints →
Context window512—
Max output——
Parameters——

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