GraySoft
Download guIDE →
Model Comparison

ggml-org/smolvlm-256m-instruct-ggufvsunsloth/flux.2-klein-4b-gguf

Side-by-side comparison of ggml-org/smolvlm-256m-instruct-gguf and unsloth/flux.2-klein-4b-gguf: downloads, license, context length, tasks, and benchmarks.

ggml-org/smolvlm-256m-instruct-gguf

ggml-org · —

Original model: https://huggingface.co/HuggingFaceTB/SmolVLM-256M-Instruct For more info, please refer to this PR: https://github.com/ggml-org/llama.cpp/pull/13050

unsloth/flux.2-klein-4b-gguf

unsloth · image-to-image

1. Our fastest distilled model for sub-second image generation. 2. Best suited for interactive workflows, production deployments, and latency-critical applications. 3. Text-to-image and image-to-image multi-reference editing in a single unified model. 4. Runs on consumer GPUs (~…

Side-by-side Specifications

ggml-org/smolvlm-256m-instruct-ggufunsloth/flux.2-klein-4b-gguf
Authorggml-orgunsloth
Pipeline Task—image-to-image
Library—ggml
Downloads33,08340,935
Likes14123
LicenseUnknownUnknown
Context Length——
Created2025-04-212026-01-15
Last Modified2025-04-302026-01-16
Tags
ggufbase_model:HuggingFaceTB/SmolVLM-256M-Instructbase_model:quantized:HuggingFaceTB/SmolVLM-256M-Instructlicense:apache-2.0endpoints_compatibleregion:usconversational
ggmlgguftext-to-imageunslothimage-editingfluxdiffusion-single-fileimage-to-imageenbase_model:black-forest-labs/FLUX.2-klein-4B

View full details: ggml-org/smolvlm-256m-instruct-gguf · unsloth/flux.2-klein-4b-gguf