Run handy-computer/parakeet-unified-en-0.6b-gguf locally
handy-computer/parakeet-unified-en-0.6b-gguf is a compact language model with 0.62 billion parameters, built on the parakeet architecture. It is released under the cc-by-4.0 license and has been downloaded 475,295 times.
To run handy-computer/parakeet-unified-en-0.6b-gguf locally at a 4,096-token context, its quantized versions need between 1.62 GB (Q4_K_M, lowest quality) and 3.48 GB (F32, highest quality) of memory, weights plus KV cache and a system margin included.
For most users the best balance is F32, needing about 3.48 GB. That means handy-computer/parakeet-unified-en-0.6b-gguf fits entirely in the VRAM of a 6 GB GPU or larger, running fully on the GPU.
All quantizations
| Quant. | Bits | Quality | Weights | KV | Total | Speed~ | Verdict |
|---|---|---|---|---|---|---|---|
| Q4_K_M | 6.18 | Very good | 0.44 GB | 0.38 GB | 1.62 GB | 899.9 t/s | Fits in VRAM |
| Q5_K_M | 7.0 | Excellent | 0.5 GB | 0.38 GB | 1.68 GB | 794.2 t/s | Fits in VRAM |
| Q6_K | 7.79 | Excellent | 0.56 GB | 0.38 GB | 1.74 GB | 713.2 t/s | Fits in VRAM |
| Q8_0 | 9.46 | Excellent | 0.68 GB | 0.38 GB | 1.86 GB | 587.3 t/s | Fits in VRAM |
| F16 | 16.03 | Excellent | 1.15 GB | 0.38 GB | 2.33 GB | 346.6 t/s | Fits in VRAM |
| F32 | 32.0 | Excellent | 2.3 GB | 0.38 GB | 3.48 GB | 173.7 t/s | Fits in VRAM |
KV cache estimated (architecture unavailable). Speed is a rough estimate bounded by memory bandwidth.
Frequently asked questions
How much VRAM do you need to run handy-computer/parakeet-unified-en-0.6b-gguf?
You need about 3.48 GB of VRAM to run handy-computer/parakeet-unified-en-0.6b-gguf entirely on the GPU using the F32 quantization (at a 4,096-token context). Smaller quantizations lower the requirement at the cost of quality.
Can I run handy-computer/parakeet-unified-en-0.6b-gguf on an 8 GB GPU?
Yes. With 8 GB of VRAM you can run handy-computer/parakeet-unified-en-0.6b-gguf fully on the GPU using F32 (about 3.48 GB).
Can I run handy-computer/parakeet-unified-en-0.6b-gguf on a 16 GB GPU?
Yes. With 16 GB of VRAM you can run handy-computer/parakeet-unified-en-0.6b-gguf fully on the GPU using F32 (about 3.48 GB).
Can I run handy-computer/parakeet-unified-en-0.6b-gguf on a 24 GB GPU?
Yes. With 24 GB of VRAM you can run handy-computer/parakeet-unified-en-0.6b-gguf fully on the GPU using F32 (about 3.48 GB).
What is the best quantization for handy-computer/parakeet-unified-en-0.6b-gguf?
If memory allows, higher bits-per-weight means better quality. A common sweet spot is a Q4_K_M or Q5_K_M quantization, which keeps most of the quality while roughly halving the memory versus 8-bit. Pick the highest quantization that still fits in your VRAM.