MODEL PROFILE

Qwen3.8-27B-Uncensored-YMQ-MTP-GGUF

zerodigest · Qwen3.8-27B-Uncensored-YMQ-MTP-GGUF

⚡ Fuel the Lab: Keep the Optimization Loops Running Every single ZeroDigest YMQ-MTP release is handcrafted and manually calibrated via intensive importance-matrix sweeps to protect critical logic pathways. This project is entirely independent research—no automation bots, no corporate backers, and no external funding. Running multi-hour compute arrays consumes massive local infrastructure overhead out-of-pocket. Consider checking out our compiler or supporting our compute costs! 👉 Developer Resources & Support Paths: 🛠️ View Compiler Source on GitHub (YMQ v2.0) 🚀 Deploy weights on RunPod Cloud Compute (Affiliate Link) ☕ Support the Lab on Ko-fi (One-Time / Monthly) This repository features advanced, custom architecture-aware quantizations of **Qwen3.8-27B (Uncensored)** processed directly from official raw `BF16` source files using the custom **YMQ-Compiler (v2.0)** log-space framework.

Text generationlicense:apache-2.0
Context windowNot disclosed
Input → OutputText → Text
Model weightsNot verified
Profile updated2026/10/30 08:49:36
OVERVIEW

Model overview

⚡ Fuel the Lab: Keep the Optimization Loops Running Every single ZeroDigest YMQ-MTP release is handcrafted and manually calibrated via intensive importance-matrix sweeps to protect critical logic pathways. This project is entirely independent research—no automation bots, no corporate backers, and no external funding. Running multi-hour compute arrays consumes massive local infrastructure overhead out-of-pocket. Consider checking out our compiler or supporting our compute costs! 👉 Developer Resources & Support Paths: 🛠️ View Compiler Source on GitHub (YMQ v2.0) 🚀 Deploy weights on RunPod Cloud Compute (Affiliate Link) ☕ Support the Lab on Ko-fi (One-Time / Monthly) This repository features advanced, custom architecture-aware quantizations of **Qwen3.8-27B (Uncensored)** processed directly from official raw `BF16` source files using the custom **YMQ-Compiler (v2.0)** log-space framework.

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.

PRICING & COST

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 / channelInputOutputBilling unitCollected at
No verified prices yet. Check the source channel.

Estimate monthly base token costs

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Estimates exclude cache discounts, tiered pricing, multimodal surcharges, web search, taxes and additional reasoning output.

INDEPENDENT BENCHMARKS

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。

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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。