rumik.ai

original model blog mlx-audio

rumik-oss 1 · MLX 4-bit

4-bit MLX quantization of rumik-oss 1, a 3B multilingual text-to-speech model for 22 Indic languages + English with expressive delivery control and inline vocalizations, producing 24 kHz audio. Runs on Apple silicon with mlx-audio.

Fastest. Noticeable fidelity loss (80% next-token agreement); treat as experimental.

rumik-oss 1 capabilities

this export

quantization 4-bit affine, group size 64, stop predictor kept in bf16
size on disk 1.9 GB
peak memory 2.1 GB
decode speed, M5 MacBook Air (16 GB) 69 tokens/s (0.69x real time)
next-token agreement with bf16 80%

100 audio tokens make one second of speech. The Mimi codec is downloaded automatically on first use.

usage

pip install mlx-audio
from mlx_audio.tts.utils import load

model = load("rumik-ai/rumik-oss-1-mlx-4bit")
for chunk in model.generate(
    "नमस्ते, आज आपका दिन कैसा रहा?",
    voice="Ira",
    instruct="happy, Hindi accent, steady pace",
    stream=True,
):
    play(chunk.audio)  # 24 kHz float32
python -m mlx_audio.tts.generate --model rumik-ai/rumik-oss-1-mlx-4bit \
  --text "नमस्ते, आज आपका दिन कैसा रहा?" --voice Ira \
  --instruct "happy, Hindi accent, steady pace" --stream

controls

control values
voice Ira, Aisha, Siya, Zoya
tone happy, sad, angry, excited, professional
accent Hindi, Telugu, Tamil, Kannada, Bengali, Punjabi, Indian English
pace slow, fast, steady
inline <laugh>, <chuckle>, <sigh>

The description can also be written inline: <description="excited, Hindi accent, fast pace"> जल्दी आओ! <laugh>

samples

Samples above are from the original bf16 model; see the original card for benchmarks (IndicEmo, NoVA, WER/CER) and limitations.

license

Research and non-commercial use under tiny aya fire's CC-BY-NC 4.0 with acceptable-use addendum, unchanged from the original. LICENSE and NOTICE are included; this repo adds 4-bit weight quantization as a modification. The Mimi codec is CC-BY-4.0.

citation

@unpublished{govindu2026rumikoss1,
  title  = {{rumik-oss 1 technical report}},
  author = {Govindu Pranav and Anant Shukla and Suryansh Shakya and Aman Anand and Vatsal Bharti},
  year   = {2026},
  note   = {In preparation}
}
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