LocalClaw/TTS/GigaChat Audio 10B A1.8B
Local ASR model

GigaChat Audio 10B A1.8B

Catalogue summary: MIT-licensed audio-native language model for local speech understanding, ASR, speech translation, audio QA, emotion recognition and long-form temporal grounding. It combines a Conformer audio encoder with a 10B Mixture-of-Experts decoder with about 1.8B active parameters and supports timestamped reasoning over recordings up to two hours.

Repository editorial metadata; verify comparative claims in the linked upstream material.

GPU recommendedspeech-to-text transcription2 languagesMIT
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Catalogue quality
9.1/10
Catalogue speed
6.7/10
Model size
2.37GB audio encoder plus 21.35GB decoder safetensors; 10B MoE / 1.8B active
Voices
Speech understanding, timestamped audio QA, ASR and speech translation rather than speech synthesis

Can GigaChat Audio 10B A1.8B run locally?

GigaChat Audio 10B A1.8B can run locally for offline speech-to-text. Use the verified setup options on this page; no terminal command is required to choose the right path.

MIT license. Still verify upstream usage notes before shipping.

Upstream source
multilinguallong-formcontrollable

Audio profile

Cat. quality
9.1
Cat. speed
6.7
Audio
8.3

Best fit

GigaChat Audio 10B A1.8B is best for offline transcription, speech indexing and local voice pipelines.

Hardware: gpu

Model details

Type
Local ASR model
Family
gigachat-audio
Latency
medium
Formats
transformersvllmsafetensors
Languages
ru, en
Context
10B total / 1.8B active MoE, RU/EN speech, up to 120-minute audio context, Transformers and vLLM examples

Install locally

01
Check runtimeConfirm the backend supports transformers, vllm, safetensors on your machine.
02
Open recommended setupUse the app and model links above. LocalClaw does not expose a terminal command.
03
Test locallyRun a short private audio prompt before moving into production workflows.

Good for

  • speech-to-text transcription
  • GPU recommended local workflows
  • multilingual, long-form, controllable

Watch before shipping

  • Validate pronunciation, latency and artifacts with your own voice samples.
  • Review the upstream license and acceptable-use notes.
  • Benchmark on your target CPU, Apple Silicon or GPU setup.

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