Qwen3-14B on local hardware
Estimated comfort for repository coding with Aider on a MacBook Pro M4 Pro 48GB.
Qwen3-14BOpen source
Qwen · apache-2.0 · 8,407,150 downloads
Reasoning / thinking mode
- Parameters
- 15B exact
- Context window
- 40K tokens
- Attention
- Standard (full attention)
- Layers · KV heads · head dim
- 40 · 8 · 128
- KV cache
- 160 KB/token · 5.0 GB at 32K
- Tool calling
- good (from chat template)
- Thinking
- good (from chat template)
- Vision
- basic (inferred — no supporting signal)
- Commercial use
- allowedRetain the required license and attribution notices
- Import confidence
- medium · capabilities estimated
Weights by quantization
Q3_K_M
6.8 GB
gguf file size
Q4_K_M
8.4 GB
gguf file size
Q5_K_M
9.8 GB
gguf file size
Q6_K
11 GB
gguf file size
Q8_0
15 GB
gguf file size
F16 / BF16
28 GB
gguf file size
- • vision: basic, inferred from missing signals (low confidence).
- • Capability ratings are estimated from model size and name — this model hasn't been assessed by hand.
- • GGUF sizes come from community conversions matched by model name; equivalence and runtime support are not verified. MLX conversion availability is unverified.
Qwen3-14B — 5-bit
Acceptable for your workload
Speed
13–18 tok/s
Adequate
Memory left
21 GB
of 48 GB
First word in
≈85 s
Slow
All the details
- Your setup
- MacBook Pro M4 Pro 48 GB
- Workload
- Repository coding with Aider
- Runtime → tool
- LM Studio → Aider
- Memory used
- 16 GB
- Context
- 32K · up to 32K practical
- Tool support
- Official
- Use-case fit
- Partly suited
Why?
- Model fits with approximately 21 GB of memory headroom.
- LM Studio supports hardware acceleration on this machine (Metal (Apple GPU)).
- Aider can connect to LM Studio (officially supported).
- Generation (13–18 tok/s) is adequate but not ideal for interactive coding.
- 32K window; generation drops to 11–15 tok/s when it is full.
- Weak coding capability for interactive coding.
- Ingesting a prompt of 14K tokens takes ≈85 s and each step ≈90 s; across ~4 calls a task takes ≈7 min.
Why “Acceptable” rather than “Comfortable”?
- Prompt processing: Ingesting the first prompt (14K tokens) takes ≈85 s; each of the ~4 follow-up turns takes ≈90 s (≈7 min per task).
- Workload suitability: Weak coding capability for interactive coding.
- Generation: Expected 13–18 tok/s at ~16K tokens of context. Coding with repository context is comfortable from about 28 tok/s.
- Context: 32K window; generation drops to 11–15 tok/s when it is full.
How sure are we?
Medium confidenceEstimated from bandwidth and compute, calibrated against 2 verified benchmarks of other models on this same chip (measured with a different engine, so calibration is partial).
- Calibrated with verified benchmarks of other models on this chip.
Medium confidence