GraySoft
Download guIDE →
Model Comparison

ggml-org/smolvlm-500m-instruct-ggufvsunsloth/minimax-m2.7-gguf

Side-by-side comparison of ggml-org/smolvlm-500m-instruct-gguf and unsloth/minimax-m2.7-gguf: downloads, license, context length, tasks, and benchmarks.

ggml-org/smolvlm-500m-instruct-gguf

ggml-org · —

Original model: https://huggingface.co/HuggingFaceTB/SmolVLM-500M-Instruct For more info, please refer to this PR: https://github.com/ggml-org/llama.cpp/pull/13050

unsloth/minimax-m2.7-gguf

unsloth · text-generation

See how to run MiniMax-M2.7 locally - Read our Guide! Unsloth Dynamic 2.0 achieves superior accuracy & outperforms other leading quants. You can follow instructions in our guide here. Do NOT use CUDA 13.2 to run GGUFs. --- Join Our 💬 WeChat | 🧩 Discord community. MiniMax Agent…

Side-by-side Specifications

ggml-org/smolvlm-500m-instruct-ggufunsloth/minimax-m2.7-gguf
Authorggml-orgunsloth
Pipeline Task—text-generation
Library——
Downloads734,12456,638
Likes49125
LicenseUnknownUnknown
Context Length——
Created2025-04-212026-04-11
Last Modified2025-04-302026-04-14
Tags
ggufbase_model:HuggingFaceTB/SmolVLM-500M-Instructbase_model:quantized:HuggingFaceTB/SmolVLM-500M-Instructlicense:apache-2.0endpoints_compatibleregion:usconversational
ggufminimax_m2unslothtext-generationbase_model:MiniMaxAI/MiniMax-M2.7base_model:quantized:MiniMaxAI/MiniMax-M2.7license:otherendpoints_compatibleregion:usconversational

View full details: ggml-org/smolvlm-500m-instruct-gguf · unsloth/minimax-m2.7-gguf