MODEL PROFILE

Qwen-3.8-27B-ROCmFP4-FAST-GGUF

julianmb · Qwen-3.8-27B-ROCmFP4-FAST-GGUF

This repository contains optimized **ROCmFP4** and **ROCmFP8** GGUF releases of **Qwen 3.8 27B**, custom-engineered for **AMD Strix Halo (Ryzen AI Max+ 395 / Radeon 8060S)** and **AMD Radeon discrete GPUs**. > 🛠️ **Unified HaloFPX Server:** github.com/julianmb/halofpx (Multi-model zoo, hot-swapping, OpenAI API) > 📖 **Qwen 3.8 Dedicated Deep-Dive:** github.com/julianmb/q38rocm (Standalone optimization report, benchmarks & tuning) Strix Halo features a **50 TOPS XDNA 2 NPU** (`/dev/accel/accel0`). Extensive empirical benchmarking demonstrates: - **Sustained Decode Ceiling:** **33.8 tok/s** via embedded MTP (iGPU only) is the practical ceiling. The NPU does *not* improve sustained decode speed. - **Proven NPU Value:** **1.8× faster first-token TTFT on long prompts (870 ms vs 1587 ms)** via hybrid NPU-burst → iGPU handoff (`scripts/run_pipeline.py`). - **See `docs/NPU_INTEGRATION.md`** for complete setup instructions.

Text generationlicense:apache-2.0
Context windowNot disclosed
Input → OutputText → Text
Model weightsNot verified
Profile updated2026/10/30 09:03:49
OVERVIEW

Model overview

This repository contains optimized **ROCmFP4** and **ROCmFP8** GGUF releases of **Qwen 3.8 27B**, custom-engineered for **AMD Strix Halo (Ryzen AI Max+ 395 / Radeon 8060S)** and **AMD Radeon discrete GPUs**. > 🛠️ **Unified HaloFPX Server:** github.com/julianmb/halofpx (Multi-model zoo, hot-swapping, OpenAI API) > 📖 **Qwen 3.8 Dedicated Deep-Dive:** github.com/julianmb/q38rocm (Standalone optimization report, benchmarks & tuning) Strix Halo features a **50 TOPS XDNA 2 NPU** (`/dev/accel/accel0`). Extensive empirical benchmarking demonstrates: - **Sustained Decode Ceiling:** **33.8 tok/s** via embedded MTP (iGPU only) is the practical ceiling. The NPU does *not* improve sustained decode speed. - **Proven NPU Value:** **1.8× faster first-token TTFT on long prompts (870 ms vs 1587 ms)** via hybrid NPU-burst → iGPU handoff (`scripts/run_pipeline.py`). - **See `docs/NPU_INTEGRATION.md`** for complete setup instructions.

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。