Model overview
*Nail* dominates Qwen3.6-27b and its ThinkingCap fine-tune on time-to-answer while matching their accuracy on reasoning and agentic software engineering ability, and wins on multi-turn conversation quality *even when the 27b models use a higher quantization*. > **These are Unsloth's MTP GGUF quants of Qwen3.6-35B-A3B with our improved chat template and force-appended system prompt baked in** — the identical recipe to the standard Nail GGUF, only this build keeps the **multi-token-prediction (MTP / `nextn`) tensors** that the standard quants drop. Runtimes that support MTP speculative decoding can use them for faster generation. llama.cpp applies the template automatically, nothing needed from you. > > **The benchmarks below were run on the non-MTP models.** MTP adds a draft head for speculative decoding — accuracy is unchanged either way. Unsloth reports ~1.5–2× faster inference in vLLM/SGLang. In llama.cpp it needs a recent source build (b10362+) run with `--spec-type draft-mtp`; we measured **~1.35× on code generation** tuned (`--spec-draft-n-max 5 --spec-draft-p-min 0.6`), ~1.25× at defaults (M2 Ultra, Q4). Current llama.cpp *releases* don't ship MTP yet, so there it's parity with the standard GGUF. > >If you have a Mac, you can use the MLX build. Best conversation score, fastest to a working fix, fastest to a correct answer — against dense models that take 2-5x times as long, at accuracy parity with all of them. Four benchmarks, n=3 seeds, one Mac Studio M2 Ultra. Nail beats Opus4.8 (medium) 3-0 on first-attempt solves in a real SWE Live repo, no fluffing about. We used Pi for local models, Claude Code for Opus.
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：apache-2.0。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。