Model overview
> [!IMPORTANT] > **Superseded by Qwen3.8 — use this instead:** `AEON-7/Qwen3.8-27B-AEON-ULTIMATE-UNCENSORED-NVFP4-MIXED` > > **Operator recipes (Spark Dynamic DFlash lattice, TP=2, RTX):** `AEON-7/Qwen3.8-27B-AEON-ULTIMATE-UNCENSORED` > > This Qwen3.6-27B card stays online for history and existing downloads. For new work, move to the Qwen3.8 Ultimate Uncensored NVFP4-MIXED release. That line is far superior in capability and reaches substantially more of what the architecture can do, with a more refined mixed quantization methodology (NVFP4 + FP8 lattice) than these older Qwen3.6 exports. > > Serve with the unified container: `ghcr.io/aeon-7/aeon-vllm-ultimate:latest` (Spark / GB10) or `ghcr.io/aeon-7/aeon-vllm-ultimate-rtx:latest` (RTX discrete). > **The flagship, max-fidelity Apple-Silicon build** of `AEON-7/Qwen3.6-27B-AEON-Ultimate-Uncensored-BF16`. Affine **8-bit** (group-64) on the compressible bulk of the hybrid decoder, and **BF16** on the parts that don't tolerate it: the Gated-DeltaNet / Mamba state dynamics, the full vision tower, and the in-weights MTP head. Built and validated on a **MacBook Pro M4 Pro (48 GB)**. > > **Target hardware: Apple Silicon (M-series), 36 GB+ unified memory** (peaks 29.85 GB). Full multimodal (text + image) via `mlx-vlm`. > > Want a smaller, faster build? See the compact sibling: `…-Multimodal-MLX-FP4` (16 GB, 1.85× faster decode). This is the **fidelity** member of the MLX quant grid (29.5 GB on disk, 8.634 bpw) — the tightest match to the BF16 source you can run natively on Apple Silicon. Affine 8-bit is near-lossless on the residual-writers, and the recipe keeps the numerically fragile **Gated-DeltaNet** recurrence, the entire **vision tower**, and the **MTP head** in BF16 so the hybrid SSM, multimodal path, and self-speculation all stay intact. For a tight unified-memory budget (24 GB+ Macs) at ~3.2× the single-stream throughput, the compact **MLX-FP4** sibling is one click away.
Key features
特点摘要待依据来源补齐，不凭模型名称推断能力。
Limitations & considerations
Sources are insufficient to establish specific limitations. Verify task performance, latency, data policies, licensing and version lifecycle.
Source prices & cost analysis
Prices vary by channel, region and configuration. Channel quotes are listed independently and are not treated as a single official provider price.
| Source / channel | Input | Output | Billing unit | Collected at |
|---|---|---|---|---|
| No verified prices yet. Check the source channel. | ||||
Estimate monthly base token costs
Estimates exclude cache discounts, tiered pricing, multimodal surcharges, web search, taxes and additional reasoning output.
Public benchmarks & run configuration
暂无已采集的可核验公开评分。模型未上榜不代表能力较低。
View full indexed rankings →Frequently asked questions
Do open weights permit free commercial use?
Not necessarily. Check the version license, commercial conditions and usage policies. Self-hosting incurs compute and maintenance costs.
Are these real-time billing prices?
These are timestamped source snapshots, not live billing prices. Check the channel for current versions, regions, discounts and billing methods.
Sources & traceability
许可证：other。模型介绍与第三方评测均以原来源的具体版本和方法为准。