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Model Detail

ai-sage logo

GigaAM-Multilingual

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Provider: ai-sageCategory: codePipeline: automatic-speech-recognition
DB Score
39.4
Downloads
3K
Likes
63
Day
+0.0%
Week
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Month
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Overview

GigaAM-Multilingual is a code generation model released by ai-sage. The model is registered under the automatic-speech-recognition pipeline tag on Hugging Face, distributed under the permissive mit license.

Technical

The mit license is permissive, allowing commercial deployment and derivative work without per-seat fees, though attribution requirements still apply.

Use Cases

GigaAM-Multilingual is best fit for code completion, repository-scale Q&A, and pair-programming integrations. It is a less obvious choice for one-shot generation of security-critical code without review. Treat this as a starting matrix rather than a benchmark verdict — the right deployment usually depends on the specific evaluation suite that mirrors your workload.

Download History
Research Paper
arXiv: 2607.10371→
Model Info
Licensemit
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arxiv7d ago

GigaAM Multilingual: Foundation Model for Underrepresented Languages

arXiv:2607.10371v1 Announce Type: cross Abstract: Despite recent scaling successes, multilingual ASR performance remains highly uneven, with long-tail languages suffering from severe data scarcity. This work addresses the challenge of building robust foundation models for underrepresented Central As

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