# Qwen3 14B datasheet

> The sweet spot for 16 GB cards: Q4_K_M weights are 9 GB, which leaves room for a long KV cache.

Canonical: https://thelocalbench.com/models/qwen3-14b · Data as of 2026-10-12 · The Local Bench (thelocalbench.com), data as of 2026-10-12, CC BY 4.0

Flags: [verified] checked against primary source · [sourced] cited · [estimate] formula · [sample] placeholder

## Specifications

| Field | Value | Flag | Source |
|---|---|---|---|
| params_total | 14.77 B | verified | https://huggingface.co/api/models/Qwen/Qwen3-14B |
| params_active | 14.77 B | verified | https://huggingface.co/api/models/Qwen/Qwen3-14B |
| layers | 40 | verified | https://huggingface.co/Qwen/Qwen3-14B/blob/main/config.json |
| kv_heads | 8 | verified | https://huggingface.co/Qwen/Qwen3-14B/blob/main/config.json |
| q_heads | 40 | verified | https://huggingface.co/Qwen/Qwen3-14B/blob/main/config.json |
| head_dim | 128 | verified | https://huggingface.co/Qwen/Qwen3-14B/blob/main/config.json |
| hidden_size | 5120 | verified | https://huggingface.co/Qwen/Qwen3-14B/blob/main/config.json |
| context | 32768 tokens | sourced | https://huggingface.co/Qwen/Qwen3-14B |
| license | Apache-2.0 | verified | https://www.apache.org/licenses/LICENSE-2.0 |

## Memory and quants (total = weights + F16 KV + overhead)

| Quant | bpw | File GB | At 8k | At 32k | At 128k | KLD | 24 GB card, 8k |
|---|---|---|---|---|---|---|---|
| Q3_K_M | 3.91 | 7.22 [estimate] | 9.1 | 13.3 | — | 0.071 [sample] | fit |
| Q4_K_M | 4.85 | 9 [verified] | 10.9 | 15.1 | — | 0.017 [sample] | fit |
| Q5_K_M | 5.69 | 10.51 [verified] | 12.4 | 16.6 | — | 0.008 [sample] | fit |
| Q6_K | 6.56 | 12.12 [verified] | 14.0 | 18.2 | — | 0.004 [sample] | fit |
| Q8_0 | 8.5 | 15.7 [verified] | 17.6 | 21.8 | — | 0.001 [sample] | fit |
| F16 | 16 | 29.54 [estimate] | 31.4 | 35.7 | — | — | offload |

## Speed (default quant, 8k context, single stream)

| Device | Verdict | Decode tok/s | Flag |
|---|---|---|---|
| [GeForce RTX 5060 Ti 16 GB](/hardware/rtx-5060-ti-16g.md) | fit | 26.0 | estimate |
| [GeForce RTX 4060 Ti 16 GB](/hardware/rtx-4060-ti-16g.md) | fit | 16.7 | estimate |
| [Radeon RX 7900 XTX 24 GB](/hardware/rx-7900-xtx-24g.md) | fit | 55.7 | estimate |
| [GeForce RTX 3090 24 GB (used)](/hardware/rtx-3090-24g-used.md) | fit | 54.3 | estimate |
| [CPU only · Ryzen 9 9950X + 128 GB DDR5](/hardware/cpu-ryzen-9-9950x-128g.md) | fit | 4.3 | estimate |
| [2× RTX 3090 (used) 48 GB](/hardware/2x-rtx-3090-48g-used.md) | fit | 54.3 | estimate |
| [Mac Studio M5 Max (base)](/hardware/mac-studio-m5-max.md) | fit | 20.0 | estimate |
| [Ryzen AI Max+ 395 mini PC 128 GB](/hardware/ryzen-ai-max-395-128g.md) | fit | 11.1 | estimate |
| [GeForce RTX 4090 24 GB](/hardware/rtx-4090-24g.md) | fit | 58.5 | estimate |
| [NVIDIA DGX Spark FE 128 GB](/hardware/dgx-spark-128g.md) | fit | 11.9 | estimate |
| [MacBook Pro M4 Max 40c · 128 GB](/hardware/macbook-pro-m4-max-128g.md) | fit | 23.8 | estimate |
| [Mac Studio M5 Ultra (base)](/hardware/mac-studio-m5-ultra.md) | fit | 52.2 | estimate |
| [GeForce RTX 5090 32 GB](/hardware/rtx-5090-32g.md) | fit | 104.0 | estimate |
| [Mac Studio M5 Ultra · 512 GB](/hardware/mac-studio-m5-ultra-512g.md) | fit | 52.2 | estimate |

## Quality

LMArena text score: 1301 [sample] (Placeholder: this model has no entry in the LMArena text leaderboard dataset (checked 2026-10-12). Not a real score.)

JSON: https://thelocalbench.com/api/v1/models/qwen3-14b.json · Configurator: https://thelocalbench.com/configurator?model=qwen3-14b