roman220220/NemotronLabs-VoiceChat-11B-gptq-mlx-3bit
audio-to-audio model by roman220220
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Model card & documentation
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This is an MLX build of NVIDIA's full-duplex speech-to-speech model, nvidia/NVIDIA-NemotronLabs-VoiceChat-11B. The model listens, transcribes, answers with text and speaks on one continuous 80 ms timeline. The language model inside is Nemotron-Nano-9B-v2, a hybrid of Mamba-2 and attention with 56 layers. It is GPTQ-quantized to 3 bits (group size 64), calibrated on real duplex conversations. The speech parts stay in bf16: the FastConformer encoder, the TTS and the codec. The goal was an 80 ms frame in close to 80 ms on a base M5 MacBook, for LLMTray's Voice Lab. lowest of the variants we measured. 4-bit build. The LLM step is limited by memory bandwidth, so fewer bits read means a faster step. Calibration. The calibration set is 256 real duplex conversations. Each spoken clip was streamed through the bf16 model's own streaming session: system-prompt prefill, then the user's speech, then silence until the reply ended. The LLM's fused…
Read the full model card ↗ · Preview checked 2026-09-28T08:32:59.417Z
Inside the original model card — Document outline
- NemotronLabs VoiceChat 11B: GPTQ 3-bit LLM, MLX
- Recipe
- Measurements (base M5, 26 GB, 2026-09-28)
- Usage
- Method / code
- Intended use and limitations
- The IPSupport local-AI stack
- License
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Model overview
roman220220/NemotronLabs-VoiceChat-11B-gptq-mlx-3bit is a audio-to-audio model repository published by roman220220 on Hugging Face. The source reports the mlx library.
This page summarizes Hub metadata. For intended use, training data, evaluation results and limitations, consult the original model card.
Model facts
- Task
- audio-to-audio
- Library
- mlx
- Recent downloads (30 days)
- 0
- Cumulative likes
- 0
- Hugging Face trending score
- 0
- Reported safetensors parameters
- 11,095,371,252
- Architecture
- NemotronVoiceChatForConditionalGeneration
- License
- other
- Access
- Not gated by Hugging Face
- Created
- 2026-09-28T05:51:43.000Z
- Last modified
- 2026-09-28T05:52:16.000Z
Compatibility and lineage
Reported languages: en
Reported base models: nvidia/NVIDIA-NemotronLabs-VoiceChat-11B
Parameter count is not a RAM/VRAM requirement. Check precision, quantization, context length and runtime compatibility in the model card; no hardware or API-cost claim is inferred here.
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Source and freshness
Source: Hugging Face Hub. Metadata observed 2026-09-28T06:38:00.545Z. Daily imports are snapshots, not real-time monitoring.
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