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aac-pictogram-retriever-ptbr-GGUF

by Papuguinho · source Hugging Face · updated 2026-08-08

gemma104 MB~1 GB RAMsource aliveunlabeled

GGUF quantizations of Papuguinho/aac-pictogram-retriever-ptbr for use with llama.cpp.

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Numbers as of 2026-10-10 12:58 UTC, from the source API.

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Files

filequantsize
aac-Q4_K_M.ggufQ4_K_M104 MB
aac-Q6_K.ggufQ6_K128 MB
aac-Q8_0.ggufQ8_0159 MB
aac-f16.ggufF16298 MB

From the source README

AAC Pictogram Retriever (pt-BR) — GGUF

GGUF quantizations of `Papuguinho/aac-pictogram-retriever-ptbr` for use with `llama.cpp`.

A compact Brazilian-Portuguese embedding model that finds the right ARASAAC pictogram for a short search
term — built for Augmentative and Alternative Communication (AAC). It powers pictogram search in
Papuguinho, a tool for building communication boards.

  • ~157M parameters, runs comfortably on CPU (no GPU).
  • One model, two jobs: *retrieval* (find the best pictogram among ~14k) and *reranking* (order a shortlist).
  • ~190 MB RAM at Q8_0 — fits easily in any modern machine.
  • Competitive with much larger cloud embedding APIs on this domain, while being open and self-hostable.

Model family & resources

| Resource | Description |
|---|---|
| 🧠 aac-pictogram-retriever-ptbr | Full model — sentence-transformers, retrieval + reranking, 157M, CPU |
| ⚡ aac-pictogram-retriever-ptbr-GGUF | This repo — GGUF quants for `llama.cpp` (Q4/Q6/Q8/f16) |
| 🧠 aac-board-generator-moe-636m-ptbr | MoE language model for generating board labels, 636M total / ~212M active |
| 📊 aac-pictogram-retrieval-ptbr | Evaluation benchmark (corpus / queries / qrels) |
| 🏋️ [aac-pictogram-retrieval-ptbr-training](https://huggingface.co/dataset…

Source: https://huggingface.co/Papuguinho/aac-pictogram-retriever-ptbr-GGUF

Card id model:hf:Papuguinho/aac-pictogram-retriever-ptbr-GGUF · collected 2026-10-10 12:58 UTC · JSON