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Kecven/Qwen3.8-27B-MTPLX-Q4
Qwen3.8-27B-MTPLX-Q4 is a machine learning model from Kecven. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for mlx. The card lists the license as apache-2.0.
MTPLX-compatible 4-bit conversion of [Qwen/Qwen3.8-27B], built locally from the original BF16 checkpoint while preserving the model's native MTP weights in BF16.
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From the Hugging Face model README
MTPLX-compatible 4-bit conversion of [Qwen/Qwen3.8-27B], built locally from the original BF16 checkpoint while preserving the model's native MTP weights in BF16.
Qwen/Qwen3.8-27BForge recipe:
{
"body_bits": 4,
"body_dtype": "auto",
"body_group_size": 64,
"body_mode": "affine",
"mtp_policy": "keep_bf16"
}
Verified locally with MTPLX Forge using the long-code-uncapped suite with a maximum generation budget of 2048 tokens.
| Mode | Speed | vs AR | Acceptance |
|---|---|---|---|
| AR / depth 0 | 15.74 tok/s | 1.00× | — |
| MTP depth 1 | 27.82 tok/s | 1.77× | 96.95% |
| MTP depth 2 | 36.53 tok/s | 2.32× | 96.13% / 90.66% |
| MTP depth 3 | 44.34 tok/s | 2.82× | 95.90% / 89.55% / 81.72% |
Forge verdict:
mtp_depth_wins
All tested depths passed the Forge quality verification gate.
The recommended profile produced by Forge is:
sustained
architecture: qwen3-next-mtp
mtp_depth_max: 3
mtp_sidecar: bf16
base_hidden_variant: post_norm
hidden_variant: post_norm
concat_order: embedding_hidden
mtp_position_mode: local
Qwen/Qwen3.8-27B1d4bf0f2ff6012fd82039f2fa52739d0dd7c60c02.3.0The MTP weights were preserved from the original BF16 checkpoint rather than requantized.
The benchmark numbers above are specific to the machine used for verification and should not be treated as universal throughput figures.
The more useful result is the relative improvement on the same hardware:
15.74 tok/s AR
↓
44.34 tok/s MTP depth 3
2.82× decode throughput
MTP acceptance remained high through depth 3, with the third speculative position accepted approximately 81.7% of the time.
This model is intended for use with MTPLX on Apple Silicon.
After downloading, inspect the included runtime metadata and use the MTPLX runtime to load the model. The Forge-generated runtime metadata contains the verified MTP contract and recommended configuration.
This conversion follows the Apache-2.0 license of the original Qwen/Qwen3.8-27B checkpoint.
See the upstream model repository for additional usage information and attribution requirements.