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Model Comparison

ggml-org/smolvlm-256m-instruct-ggufvsserveurperso/ace-step-1.5-gguf

Side-by-side comparison of ggml-org/smolvlm-256m-instruct-gguf and serveurperso/ace-step-1.5-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

serveurperso/ace-step-1.5-gguf

Serveurperso · —

Pre-quantized GGUF models for acestep.cpp, a portable C++17 implementation of the ACE-Step 1.5 AI Music Generation using GGML. Text + lyrics in, stereo 48kHz audio out. Runs on CPU, CUDA, Metal, Vulkan.

Side-by-side Specifications

ggml-org/smolvlm-256m-instruct-ggufserveurperso/ace-step-1.5-gguf
Authorggml-orgServeurperso
Pipeline Task——
Library——
Downloads33,08360,893
Likes1443
LicenseUnknownUnknown
Context Length——
Created2025-04-212026-02-20
Last Modified2025-04-302026-04-14
Tags
ggufbase_model:HuggingFaceTB/SmolVLM-256M-Instructbase_model:quantized:HuggingFaceTB/SmolVLM-256M-Instructlicense:apache-2.0endpoints_compatibleregion:usconversational
ggufmusic-generationtext-to-musicggmlcppace-stepdiffusionflow-matchingenfr

View full details: ggml-org/smolvlm-256m-instruct-gguf · serveurperso/ace-step-1.5-gguf