Qwen3.5-9B-VLM-Q4_K_M: A Quantized Multimodal Large Language Model

A GGUF format model file for the Qwen3.5-9B-VLM, a 9-billion parameter multimodal large language model. The dataset includes the quantized model and a projection file (mmproj), likely enabling vision-language tasks. It was published on Kaggle, but the author, organization, and last update date are unknown.

Use Cases

• Run local inference for vision-language tasks like image captioning (inferred from domain, verify after download)
• Benchmark the performance of quantized multimodal models against other formats (inferred from domain, verify after download)
• Integrate a pre-trained VLM into an application pipeline without full model training (inferred from domain, verify after download)

Strengths

• Published on Kaggle, a major platform for data science resources.
• Includes a projection file (mmproj), which is necessary for multimodal input processing.

Limitations

• Metadata is minimal; actual content requires verification after download.
• Row count, file size, and license information are unknown.
• Column-level documentation is absent; field semantics must be inferred after download.

Provenance

Source

Kaggle

Collection Method

Likely a user upload of a pre-trained, quantized model file.

Time Range

null

Freshness

Last update date is unknown; freshness unverified.

Geography

null