MODEL PROFILE

Qwen3.8-Flash-Next-MTP-GGUF

dzannotti · Qwen3.8-Flash-Next-MTP-GGUF

The multi-token-prediction head that ships inside Qwen/Qwen3.8-Flash-Next: one full `qwen4exp` block (attention + 512-expert MoE + hyper-connections, 4B parameters), trained jointly with the model. The upstream converter (PR 27742) drops it, so the popular GGUFs have none. This one is exported straight from the bf16 checkpoint and quantized with plain `llama-quantize`, so it runs on stock llama.cpp kernels (any backend), not a fork's quant types. **This is a draft head, not a model.** Use it as `-md` next to any Flash-Next GGUF target (tested with unsloth's UD-Q4_K_XL and UD-IQ4_XS). Set `LLAMA_ATTN_ROT_DISABLE=1`: upstream's quantized-KV activation rotation (#21038) is not supported by the qwen4exp attention path and the server aborts at load without it.

Text generationlicense:other
Context windowNot disclosed
Input → OutputText → Text
Model weightsNot verified
Profile updated2026/10/31 16:43:14
OVERVIEW

Model overview

The multi-token-prediction head that ships inside Qwen/Qwen3.8-Flash-Next: one full `qwen4exp` block (attention + 512-expert MoE + hyper-connections, 4B parameters), trained jointly with the model. The upstream converter (PR 27742) drops it, so the popular GGUFs have none. This one is exported straight from the bf16 checkpoint and quantized with plain `llama-quantize`, so it runs on stock llama.cpp kernels (any backend), not a fork's quant types. **This is a draft head, not a model.** Use it as `-md` next to any Flash-Next GGUF target (tested with unsloth's UD-Q4_K_XL and UD-IQ4_XS). Set `LLAMA_ATTN_ROT_DISABLE=1`: upstream's quantized-KV activation rotation (#21038) is not supported by the qwen4exp attention path and the server aborts at load without it.

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

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Estimate monthly base token costs

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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

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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。