Run Jackrong/Qwopus3.6-27B-Coder-Compat-MTP-GGUF locally
Jackrong/Qwopus3.6-27B-Coder-Compat-MTP-GGUF is a compact code-focused language model with 0.46 billion parameters, built on the clip architecture. It is released under the apache-2.0 license and has been downloaded 414,734 times.
To run Jackrong/Qwopus3.6-27B-Coder-Compat-MTP-GGUF locally at a 4,096-token context, its quantized versions need between 2.14 GB (F32, lowest quality) and 28.33 GB (Q8_0, highest quality) of memory, weights plus KV cache and a system margin included.
For most users the best balance is F32, needing about 2.14 GB. That means Jackrong/Qwopus3.6-27B-Coder-Compat-MTP-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 |
|---|---|---|---|---|---|---|---|
| F32 | 16.17 | Excellent | 0.87 GB | 0.47 GB | 2.14 GB | 461.3 t/s | Fits in VRAM |
| Q3_K_M | 234.42 | Excellent | 12.57 GB | 0.47 GB | 13.85 GB | 4.0 t/s | Offload |
| Q4_K_M | 291.9 | Excellent | 15.66 GB | 0.47 GB | 16.93 GB | 3.2 t/s | Offload |
| Q5_K_M | 339.21 | Excellent | 18.19 GB | 0.47 GB | 19.47 GB | 2.7 t/s | Offload |
| Q6_K | 389.49 | Excellent | 20.89 GB | 0.47 GB | 22.17 GB | 2.4 t/s | Offload |
| Q8_0 | 504.37 | Excellent | 27.05 GB | 0.47 GB | 28.33 GB | — | Insufficient |
KV cache computed from the model's exact architecture. Speed is a rough estimate bounded by memory bandwidth.
Frequently asked questions
How much VRAM do you need to run Jackrong/Qwopus3.6-27B-Coder-Compat-MTP-GGUF?
You need about 2.14 GB of VRAM to run Jackrong/Qwopus3.6-27B-Coder-Compat-MTP-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 Jackrong/Qwopus3.6-27B-Coder-Compat-MTP-GGUF on an 8 GB GPU?
Yes. With 8 GB of VRAM you can run Jackrong/Qwopus3.6-27B-Coder-Compat-MTP-GGUF fully on the GPU using F32 (about 2.14 GB).
Can I run Jackrong/Qwopus3.6-27B-Coder-Compat-MTP-GGUF on a 16 GB GPU?
Yes. With 16 GB of VRAM you can run Jackrong/Qwopus3.6-27B-Coder-Compat-MTP-GGUF fully on the GPU using Q3_K_M (about 13.85 GB).
Can I run Jackrong/Qwopus3.6-27B-Coder-Compat-MTP-GGUF on a 24 GB GPU?
Yes. With 24 GB of VRAM you can run Jackrong/Qwopus3.6-27B-Coder-Compat-MTP-GGUF fully on the GPU using Q6_K (about 22.17 GB).
What is the best quantization for Jackrong/Qwopus3.6-27B-Coder-Compat-MTP-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.