granite-speech-3.3-2b
Model Summary: Granite-speech-3.3-2b is a compact and efficient speech-language model, specifically designed for automatic speech recognition (ASR) and automatic speech translation (AST). Granite-speech-3.3-2b uses a two-pass design, unlike integrated models that combine speech and language into a single pass. Initial calls to granite-speech-3.3-2b will transcribe audio files into text. To process the transcribed tex...
Params
3.0 B
Context
—
Downloads 30d
529 K
Likes
55
Download history
daily snapshots · 10 days529 K501 K
Jul 28Jul 31Aug 3Aug 6
Can you run it?
Estimated VRAM at 8K context unless noted. Pick your hardware to see the verdict per quantization.
| File | Quant | Size | Est. VRAM | Verdict on RTX 4090 · 24 GB |
|---|---|---|---|---|
| model.safetensors | bf16 | 11.8 GB | 13.9 GB | ✅ Runs comfortably |
Estimate: file size × 1.1 + KV cache at 8K + 0.5 GB overhead. Not a benchmark — how we calculate this.
Specifications
- Architecture
- GraniteSpeechForConditionalGeneration
- Parameters
- 3.0 B
- Tensor type
- BF16
- Licence
- apache-2.0
- First seen on the Hub
- 2025-04-28
- Training datasets
- undisclosed
- Added to our catalog
- 2026-07-28
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