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cstr/occiglot-7b-de-en-instruct-GGUF overview

q4km quantization of occiglot/occiglot 7b de en instruct EQ Bench v2 de: 58.07, v2 en : 62.39 Provenance and EU AI Act Art. 53 note Upstream model: occiglot/oc…

ggufdelicense:apache-2.0endpoints_compatibleregion:usconversational

Runs locally from ~4.07 GB disk (8 GB VRAM class GPUs with llama.cpp / guIDE).

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Repository Files & Downloads

1 GGUF files detected
Direct downloads for local inference
FileTypeQuantizationSizeLink
occiglot-7b-de-en-instruct-q4-k-m.ggufGGUFQ44.07 GBDownload

Model Details

Model IDcstr/occiglot-7b-de-en-instruct-GGUF
Authorcstr
Pipeline
Licenseapache-2.0
Base model
Last modified2026-08-02T15:33:31.000Z

Model README

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license: apache-2.0

language:

  • de

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q4km quantization of occiglot/occiglot-7b-de-en-instruct

EQ-Bench v2_de: 58.07, v2 (en): 62.39

Provenance and EU AI Act Art. 53 note

  • Upstream model: occiglot/occiglot-7b-de-en-instruct — published by occiglot.
  • Upstream licence: apache-2.0. This repository redistributes under the same terms; it grants no rights the upstream licence does not.
  • What was done here: format conversion and/or quantisation only (GGUF). No training, no fine-tuning, no merging, no distillation, no change to architecture, vocabulary or capability. Only the numeric representation of the upstream weights differs.
  • Training data: documented — where it is documented at all — by the upstream provider; see the upstream model card. No training data was used, added or selected by this repository.
  • Provider status: under Regulation (EU) 2024/1689 the upstream authors remain the provider of this model. Converting the serialisation format does not make this repository the provider of a new general-purpose AI model, and no such claim is made. Questions about training content, copyright policy or model capability belong upstream.

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