---
license: apache-2.0
library_name: mlx
base_model: Qwen/Qwen3-Coder-Next
base_model_relation: quantized
pipeline_tag: text-generation
tags:
- mlx
- apple-silicon
- quantized
- mixed-precision
- axquant
- axq
- development
- qwen3-next
- MXFP4
- MXFP4
---

# AX-Qwen3-Coder-Next-MLX-AXQ-MXFP4 — 4.32 BPW measured main

An **AXQuant (AXQ)** mixed-precision MLX checkpoint for Apple Silicon, converted directly from
the BF16 source model. The language path is quantized under AXQuant protection floors (embeddings, norms, and other protected tensors remain higher precision).

> **Checkpoint Tier 1 certified** on `df-macstudio-m2` (2026-08-18) for this exact
> revision — measured size against a matched uniform baseline, quality retention, and
> conversion integrity. Tier 1 is a checkpoint claim, **not** a speed claim: MTP
> acceleration is **not certified**; no MTP speedup claim for this checkpoint.
> See the [checkpoint Tier 1 certificate](https://github.com/defai-digital/axquant/blob/main/docs/certifications/qwen3-coder-next-axq-mxfp4-tier1.md) for the bound evidence and thresholds.


## Model details

| Property | Value |
| --- | --- |
| Base model | [Qwen/Qwen3-Coder-Next](https://huggingface.co/Qwen/Qwen3-Coder-Next/tree/a7fbcb5c0e12d62a448eaa0e260346bf5dcc0feb) |
| Source revision | `a7fbcb5c0e12d62a448eaa0e260346bf5dcc0feb` |
| Product family | `qwen3-next` |
| Source architecture | `Qwen3NextForCausalLM` (mixture of experts (MoE)); text path optimized |
| Main-model parameters | 79.67B logical parameters |
| Quantizer | AXQuant `1.9.0` |
| Hub budget class | `MXFP4` |
| AXQuant base precision class | `5p6bpw` |
| Planned storage-adjusted BPW | 5.0590 |
| Measured main-model BPW | 4.3154 |
| Measured total BPW | **4.3154** |
| Safetensors weight size | 42.98 GB |
| Approximate complete download | 43.08 GB |
| Configured maximum context | 262,144 tokens; practical limits depend on unified memory |
| Primary MLX runtime | MLX-LM |
| AX Engine native execution | Not established; no validated native manifest is included |
| MTP present | `False` |
| Vision present | `False` |
| Audio present | `False` |

This repository contains MLX Safetensors. It does **not** contain PyTorch or GGUF weights.

## Choosing an AXQ pack

AXQ names describe a **storage-budget product class**, not one uniform precision applied to every
tensor. Protected tensors remain at higher precision, so the exact measured BPW is authoritative.
In particular, a `6bit`-named mixed plan may retain `4bit` as its base precision while selecting
6-bit, 8-bit, or BF16 for other tensors to meet an approximately 6-BPW total budget. Protection
floors can also raise a `4bit`-named pack close to (or above) a `6bit` budget on small or heavily
protected models. When that collapse happens, AutomatosX does **not** publish a separate
misleading `4bit` sibling for that base.


| Sibling | Intended trade-off |
| --- | --- |
| [4bit sibling](https://huggingface.co/AutomatosX/AX-Qwen3-Coder-Next-MLX-AXQ-4bit) | Lower-storage AXQ budget; check its exact BPW |
| [6bit sibling](https://huggingface.co/AutomatosX/AX-Qwen3-Coder-Next-MLX-AXQ-6bit) | Higher average precision near the 6-BPW budget |

See the [AutomatosX collections](https://huggingface.co/AutomatosX/collections)
for the family catalog, or the [complete index](https://huggingface.co/collections/AutomatosX/automatosx-mlx-model-catalog).

## Download

```bash
python -m pip install -U huggingface_hub
hf download AutomatosX/AX-Qwen3-Coder-Next-MLX-AXQ-MXFP4 --local-dir ./AX-Qwen3-Coder-Next-MLX-AXQ-MXFP4
```

Allow at least 43.08 GB of free disk space. Pin the resulting Hub commit in reproducible
deployments rather than relying indefinitely on `main`.

## Run with MLX-LM

```bash
python -m pip install -U mlx-lm
mlx_lm.generate \
  --model AutomatosX/AX-Qwen3-Coder-Next-MLX-AXQ-MXFP4 \
  --prompt "Explain mixed-precision quantization in three sentences." \
  --max-tokens 128 \
  --temp 0.0
```

MLX-LM compatibility covers standard **text/backbone inference**. It may ignore AXQuant runtime
metadata and optional sidecars (`vision.safetensors`, `mtp.safetensors`); this command therefore
does not establish MTP acceleration or vision-language quality. The artifact records MLX
`0.32.0` and MLX-LM `0.31.3` from conversion.

## AX Engine status

This package does **not** include a validated native `model-manifest.json`, so AX Engine execution
is not established by this release. The AX Engine fields in `axquant_runtime.json` describe the
intended compatibility contract, not observed runtime evidence. Use the architecture-specific MLX
runtime path above. The artifact records AX Engine version
`not recorded`, but version discovery alone is not a runtime check.

## Quantization layout

| Main-weight precision | Parameters | Share |
| --- | ---: | ---: |
| `4bit` | 79.00B | 99.15% |
| `8bit` | 361.59M | 0.45% |
| `bf16` | 312.56M | 0.39% |

- Quantization methods: `affine, bf16`.
- Group sizes used by quantized assignments: `32, 64`.
- MTP sidecar: not included.
- Vision sidecar: not included.
- Optimization scope: `text-path`.
- Support tier: `convertible`.

BF16 sidecars, when present, are included in total download size. Their presence does not by itself
establish MTP acceleration or vision-language quality.

## Evidence and validation status

| Check | Status |
| --- | --- |
| Planning evidence | `architecture_prior` |
| Calibration | none; the allocation is based on architecture priors |
| Quantizer execution | 74125/74125 recorded module conversions succeeded; 0 fallbacks |
| AX Engine native manifest | not included |
| Quality versus BF16 or uniform baselines | Not published; no quality-retention claim |
| MTP acceptance and speed | **not certified**; no MTP speedup claim for this checkpoint (Qwen3-Coder-Next source declares no MTP; certification is non-MTP direct-decode checkpoint Tier 1 only (qwen3-next-direct track).) |
| AX Engine kernel evidence | `unmeasured` |
| Vision-language quality | Not applicable (vision disabled for this pack) |
| Speech-recognition quality | Not applicable (audio disabled for this pack) |
| Long-context quality | 262,144-token capacity is config metadata, not a validated claim |
| Release certification | **Checkpoint Tier 1 certified** on `df-macstudio-m2` (2026-08-18), Hub commit `b7ceed0036af`; the formal AXQuant M0-M8 release campaign is a separate process and is not implied |

## Modalities (capability-gated)

Text checkpoint Tier 1 does **not** imply vision or audio quality. `Vision present=true` on a pack is not a quality pass.

| Modality | Claim | Supported | Reason |
| --- | --- | --- | --- |
| Vision | `not-applicable` | `false` | vision not supported on this pack |
| Audio | `not-applicable` | `false` | audio not supported on this pack |

## Intended use and limitations

- Intended for local development and evaluation on Apple Silicon with MLX-compatible runtimes.
- No minimum unified-memory figure is claimed; loadability depends on model size, context length,
  KV-cache policy, runtime buffers, and other processes using unified memory.
- Architecture-prior allocation is not measured sensitivity. It must not be presented as measured
  model quality.
- The configured context window can require substantially more memory as the KV cache grows.
- AX Engine execution is not established because this package has no validated native manifest.

- Upstream capabilities, limitations, biases, and responsible-use guidance still apply.

## Provenance and audit files

- [`axquant_manifest.json`](axquant_manifest.json): package identity, byte accounting, runtime
  contract, software versions, and file checksums.
- [`axquant_plan.json`](axquant_plan.json): per-tensor precision decisions and planning evidence.
- [`axquant_quantizer_execution.json`](axquant_quantizer_execution.json): conversion coverage and
  fallback records.
- [`axquant_runtime.json`](axquant_runtime.json): declared AX Engine and MLX compatibility metadata; runtime checks remain separate evidence.

All published provenance uses repository-relative paths. Local source paths are stripped before
publication. The checkpoint was converted from BF16 rather than re-quantized from an OptiQ
artifact. If an OptiQ repository is published separately, it uses a different quantizer and
should not be assumed to have identical BPW or quality.

## License

The checkpoint follows the upstream model license where applicable (often Apache License 2.0). See
the [Qwen/Qwen3-Coder-Next model card](https://huggingface.co/Qwen/Qwen3-Coder-Next/tree/a7fbcb5c0e12d62a448eaa0e260346bf5dcc0feb) for license terms, model
limitations, and responsible-use guidance.