MODEL PROFILE

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.

Text generationmultimodallicense:apache-2.0
Context windowNot disclosed
Input → OutputText → Text
Model weightsNot verified
Profile updated2026/11/2 03:56:59
OVERVIEW

Model overview

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.

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

Do open weights permit free commercial use?

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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。