Model overview
> [!IMPORTANT] > **This VLM requires TWO files** — a text backbone GGUF and the `mmproj` vision encoder GGUF. > Download one text backbone (e.g. Q4_K_M) **and** the mmproj file. Both must be in the same folder. 1. Search for `Dhptl/Qwen2.5-VL-7B-Instruct` in LM Studio 2. Download the Q4_K_M text file **and** the mmproj file 3. Load the model — LM Studio automatically uses both files > **Why is mmproj always F16?** > The vision encoder maps image pixels to token embeddings. Quantizing it causes > visible visual artifacts and degraded image understanding. It stays at F16 (half precision) > which is already very efficient at ~1-2GB for most models.
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。