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Nanonets-OCR2-3B-GGUF-Q4_K_M
ramgpt/Nanonets-OCR2-3B-GGUF-Q4_K_M
Nanonets-OCR2-3B-GGUF-Q4_K_M is a machine learning model from ramgpt. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as other.
This repository provides a q4km-quantized GGUF file derived from nanonets/Nanonets-OCR2-3B.
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.gguf1.9 GB · 100%
At a glance
- License
- other
- Access
- Public
- Created
- Oct 16, 2025
- Updated
- Oct 16, 2025
- SHA
- bfa3a0ad
Base models
Model card
From the Hugging Face model README
nanonets-Nanonets-OCR2-3B.F16.Q4_K_M.gguf
Overview (EN)
This repository provides a q4_k_m-quantized GGUF file derived from nanonets/Nanonets-OCR2-3B.
Quick Start (llama.cpp)
./build/bin/llama-cli -m nanonets-Nanonets-OCR2-3B.F16.Q4_K_M.gguf -p "Hello"
Quantization
- Format: GGUF
- Method: q4_k_m
- File:
nanonets-Nanonets-OCR2-3B.F16.Q4_K_M.gguf - Size: ~1.80 GB
Provenance
- Base model:
nanonets/Nanonets-OCR2-3B
Note: This repo contains inference-only quantized weights. Respect the upstream license and usage terms.
Présentation (FR)
Ce dépôt fournit un fichier GGUF q4_k_m issu de nanonets/Nanonets-OCR2-3B.
Démarrage rapide (llama.cpp)
./build/bin/llama-cli -m nanonets-Nanonets-OCR2-3B.F16.Q4_K_M.gguf -p "Bonjour"
Quantification
- Format : GGUF
- Méthode : q4_k_m
- Fichier :
nanonets-Nanonets-OCR2-3B.F16.Q4_K_M.gguf - Taille : ~1.80 Go
Provenance
- Modèle amont :
nanonets/Nanonets-OCR2-3B
Remarque : Ce dépôt contient uniquement des poids quantifiés pour l'inférence. Merci de respecter la licence et les conditions d'utilisation du modèle d'origine.
- License
- other
- Languages
- en, fr
- Created
- Oct 16, 2025
- Updated
- Oct 16, 2025