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Model Comparison

ggml-org/smolvlm-256m-instruct-ggufvsmradermacher/aum-1-70b-i1-gguf

Side-by-side comparison of ggml-org/smolvlm-256m-instruct-gguf and mradermacher/aum-1-70b-i1-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

mradermacher/aum-1-70b-i1-gguf

mradermacher · —

## About weighted/imatrix quants of https://huggingface.co/Nitish-Garikoti/aum-1-70B ***For a convenient overview and download list, visit our model page for this model.*** static quants are available at https://huggingface.co/mradermacher/aum-1-70B-GGUF

Side-by-side Specifications

ggml-org/smolvlm-256m-instruct-ggufmradermacher/aum-1-70b-i1-gguf
Authorggml-orgmradermacher
Pipeline Task——
Library—transformers
Downloads33,08331,795
Likes140
LicenseUnknownUnknown
Context Length——
Created2025-04-212026-03-31
Last Modified2025-04-302026-04-03
Tags
ggufbase_model:HuggingFaceTB/SmolVLM-256M-Instructbase_model:quantized:HuggingFaceTB/SmolVLM-256M-Instructlicense:apache-2.0endpoints_compatibleregion:usconversational
transformersggufllamathinkingreasoningdistillationsftpytorchenbase_model:Nitish-Garikoti/aum-1-70B

View full details: ggml-org/smolvlm-256m-instruct-gguf · mradermacher/aum-1-70b-i1-gguf