MODEL PROFILE

Qwen3.5-9B-abliterated-GGUF

lukey03 · Qwen3.5-9B-abliterated-GGUF

GGUF quantized versions of lukey03/Qwen3.5-9B-abliterated for use with Ollama, llama.cpp, and other GGUF-compatible inference engines. Qwen3.5 is **natively multimodal** — vision is built into every Qwen3.5 model via early fusion training. There is no separate "VL" variant. The vision GGUF was created by: 1. Starting with the official `Qwen/Qwen3.5-9B` GGUF (883 tensors: 427 text + 441 vision + 15 MTP) 2. Replacing 400 text model tensors with abliterated weights (the remaining 27 text tensors use different quantization types and are not affected by abliteration — they target `attn_qkv` and `attn_v`, while abliteration only modifies `o_proj`/`output_proj` and `down_proj`) 3. Keeping all 441 vision encoder tensors and 15 MTP (multi-token prediction) tensors from the official model

Visual QAmultimodallicense:apache-2.0
Context windowNot disclosed
Input → OutputText、Image → Text
Model weightsNot verified
Profile updated2026/10/30 05:02:23
OVERVIEW

Model overview

GGUF quantized versions of lukey03/Qwen3.5-9B-abliterated for use with Ollama, llama.cpp, and other GGUF-compatible inference engines. Qwen3.5 is **natively multimodal** — vision is built into every Qwen3.5 model via early fusion training. There is no separate "VL" variant. The vision GGUF was created by: 1. Starting with the official `Qwen/Qwen3.5-9B` GGUF (883 tensors: 427 text + 441 vision + 15 MTP) 2. Replacing 400 text model tensors with abliterated weights (the remaining 27 text tensors use different quantization types and are not affected by abliteration — they target `attn_qkv` and `attn_v`, while abliteration only modifies `o_proj`/`output_proj` and `down_proj`) 3. Keeping all 441 vision encoder tensors and 15 MTP (multi-token prediction) tensors from the official model

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。