Model overview
> The Qwen3-VL-8B-Instruct-abliterated-v2 from prithivMLmods represents the second iteration (v2.0) of the abliterated variant of Alibaba's Qwen3-VL-8B-Instruct, an 8B-parameter vision-language model engineered to fully remove safety refusals and content filters through advanced abliteration techniques, delivering uncensored, highly detailed captioning, instruction-following, and multimodal reasoning across complex, sensitive, artistic, technical, abstract, or explicit visual content with Interleaved-MRoPE fusion, 32-language OCR, 262K context length, and robust support for diverse resolutions, aspect ratios, videos, and layouts. Building on v1 with refined uncensoring for even greater output fidelity and reduced artifacts, it enables variational detail control—from concise summaries to exhaustive, multi-granularity analyses—primarily in English with prompt-engineered multilingual adaptability, making it optimal for red-teaming, research in generative safety, creative visual storytelling, and unrestricted agentic applications on high-end GPUs (16-24GB VRAM BF16/FP8) via Transformers or vLLM. This version preserves the base model's state-of-the-art multimodal perception while eliminating guardrails for factual, descriptive responses in scenarios where conventional models would refuse. (sorted by size, not necessarily quality. IQ-quants are often preferable over similar sized non-IQ quants)
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.
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 / channel | Input | Output | Billing unit | Collected at |
|---|---|---|---|---|
| No verified prices yet. Check the source channel. | ||||
Estimate monthly base token costs
Estimates exclude cache discounts, tiered pricing, multimodal surcharges, web search, taxes and additional reasoning output.
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。
View full indexed rankings →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。