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AI 模型库/jimbothigpen/Qwen3.6-35B-A3B-GGUF
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Qwen3.6-35B-A3B-GGUF

jimbothigpen · Qwen3.6-35B-A3B-GGUF

A complete set of importance-matrix (imatrix) GGUF quantizations of **Qwen/Qwen3.6-35B-A3B** — a 35B-parameter Mixture-of-Experts model (~3B active per token) — spanning the full ladder from `IQ1_*` up to `Q8_0`, plus the `BF16` baseline. This set exists as a **canonical reference** for cross-quant / cross-backend quality (perplexity) and throughput comparison. Every quant in this repository was produced from the same `BF16` source and the **same importance matrix** (`Qwen3.6-35B-A3B-imatrix.gguf`, included here for full reproducibility). > **Generated with the jimbothigpen/llama.cpp fork.** > These GGUFs and their imatrix are produced by that fork's quantization toolchain. It is a fork of > upstream ggml-org/llama.cpp that integrates features ported > from several llama.cpp forks — including the IQ-K / IQ-KS / IQ-KT (trellis) quant families from > ik_llama.cpp — plus ROCm and Vulkan backend support.

译文排队中，当前展示来源原文。

文本生成multimodallicense:apache-2.0
上下文窗口来源未披露
输入 → 输出文本 → 文本
模型权重待核验
档案更新时间2026/11/2 19:16:15
OVERVIEW

模型介绍

A complete set of importance-matrix (imatrix) GGUF quantizations of **Qwen/Qwen3.6-35B-A3B** — a 35B-parameter Mixture-of-Experts model (~3B active per token) — spanning the full ladder from `IQ1_*` up to `Q8_0`, plus the `BF16` baseline. This set exists as a **canonical reference** for cross-quant / cross-backend quality (perplexity) and throughput comparison. Every quant in this repository was produced from the same `BF16` source and the **same importance matrix** (`Qwen3.6-35B-A3B-imatrix.gguf`, included here for full reproducibility). > **Generated with the jimbothigpen/llama.cpp fork.** > These GGUFs and their imatrix are produced by that fork's quantization toolchain. It is a fork of > upstream ggml-org/llama.cpp that integrates features ported > from several llama.cpp forks — including the IQ-K / IQ-KS / IQ-KT (trellis) quant families from > ik_llama.cpp — plus ROCm and Vulkan backend support.

主要特点

特点摘要待依据来源补齐，不凭模型名称推断能力。

局限与注意事项

暂无足够来源支持具体缺点结论。请重点验证实际任务表现、时延、数据政策、许可与版本生命周期。

PRICING & COST

来源报价与费用分析

同一模型在不同渠道、地区和配置下可能采用不同价格。下表独立保留各渠道报价，不将渠道价格视为厂商官方统一价格。

来源 / 渠道输入输出计费单位采集时间
暂未取得可核验报价，请查阅来源渠道。

按月估算基础 Token 费用

—

预估不包含缓存优惠、阶梯定价、多模态附加费用、网络检索、税费及推理额外输出。

INDEPENDENT BENCHMARKS

公开评测与运行配置

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。

查看完整已收录榜单 →

常见问题

开放权重是否代表可以免费商用？

不一定。应核对具体版本许可证、商用门槛和使用政策。自部署还会产生算力和维护成本。

这些价格是实时结算价格吗？

不是实时结算价格，而是带采集时间的来源报价快照。请到对应渠道核对当前版本、区域、折扣和计费方式。

资料来源与可追溯记录

huggingface · jimbothigpen/Qwen3.6-35B-A3B-GGUF ↗2026/11/2 03:56:59
huggingface · enrich:4940da02-e4b4-4496-bf44-b9a252b8f68f ↗2026/10/31 07:04:54

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。