Model reference · open weights
GigaAM-Multilingual is an open-weight audio or speech model from ai-sage, listed in the AxForge catalogue. AxForge can bring it up on EU-owned hardware for you on request — with the licence handled where one is required.
About
GigaAM Multilingual GigaAM Multilingual is a family of Conformer-based foundation models (220M / 600M parameters) pre-trained with a HuBERT-style objective on 2M hours of speech across 70+ languages and fine-tuned for speech recognition with character-wise CTC decoders on 50K hours. The models provide best-in-class open-source quality on Russian, Kazakh, Kyrgyz, and Uzbek, and moderate quality on English. GigaAM Multilingual includes the following model variants: - ssl — 220M self-supervised encoder - ctc — 220M ASR model with a character-wise CTC decoder - largessl — 600M self-supervised encoder - largectc — 600M ASR model with a character-wise CTC decoder Model Performance Word Error Rate (%) on Common Voice (CV), FLEURS, and internal in-the-wild test sets. Utterances longer than 30 s and references containing digits are excluded; references/hypotheses are normalized (lowercasing, punctuation removal, numerals→words); greedy decoding. Best per row in bold. Usage Recommended versions: - torch==2.10., torchaudio==2.10. - transformers==5. - (any) hydra-core, omegaconf Full usage guide can be found in the example. Fine-tuning to a new language The ssl / largessl backbones can be adapted to a new language — see the fine-tuning guide and the example notebook. Citation
Summarised from the published model card. Read the full card on the HuggingFace links below.
Specifications
| Maker | ai-sage |
|---|---|
| Type | Audio & music |
| Variants | 1 |
| Released | 2026-07-14 |
| Popularity | 117k downloads / month |
| Likes | 81 |
| Licence | Open weights |
How it works
Variants
Open weights ship in several sizes and precisions. One page, all the variants — pick the one that fits your GPU. VRAM figures are estimates from model size.
| Variant | Params | Precision | VRAM | Fits 16 GB | Weights |
|---|---|---|---|---|---|
| GigaAM-Multilingual | — | BF16 | — | — | Weights ↗ |
Using it via the API
Once AxForge deploys gigaam-multilingual for you, it answers on the OpenAI-compatible API — the same base URL and keys as every other model. (gigaam-multilingual below is illustrative; you get the exact model name on deployment.)
$ curl -sS https://api.axforge.ai/v1/audio/transcriptions \ -H "Authorization: Bearer $AXFORGE_API_KEY" \ -F model="gigaam-multilingual" -F file=@audio.mp3
Licence
Open weights under mit — commercial use is permitted. Deploy it on AxForge EU hardware on request. Read the licence ↗