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exo-jhop/ministral3-gdpr-dpo-gguf overview

ministral3 gdpr dpo gguf GGUF build of exo jhop/ministral3 gdpr dpo fp16 for llama.cpp / llama server deployment. Files assistant Q5 K M.gguf Q5 K M quantized …

ggufllama.cppgdpreu-legal-assistantbase_model:exo-jhop/ministral3-gdpr-dpo-fp16base_model:quantized:exo-jhop/ministral3-gdpr-dpo-fp16license:otherendpoints_compatibleregion:usconversational

Runs locally from ~5.64 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
assistant-Q5_K_M.ggufGGUFQ5_K_M5.64 GBDownload

Model Details

Model IDexo-jhop/ministral3-gdpr-dpo-gguf
Authorexo-jhop
Pipeline—
Licenseother
Base modelexo-jhop/ministral3-gdpr-dpo-fp16
Last modified2026-09-14T16:38:01.000Z

Model README

---

license: other

base_model: exo-jhop/ministral3-gdpr-dpo-fp16

tags:

  • gguf
  • llama.cpp
  • gdpr
  • eu-legal-assistant

---

ministral3-gdpr-dpo-gguf

GGUF build of exo-jhop/ministral3-gdpr-dpo-fp16 for llama.cpp / llama-server deployment.

Files

  • assistant-Q5_K_M.gguf -- Q5_K_M quantized (~5.7 GiB, 5.70 BPW), recommended for serving.

Quick start

./llama-server --model assistant-Q5_K_M.gguf --alias eu-legal-assistant --port 8080

See the deploy runbook shipped alongside this project for full setup, health checks, and client config.

Built via convert_hf_to_gguf.py (bf16) + llama-quantize (Q5_K_M). Source model card: exo-jhop/ministral3-gdpr-dpo-fp16.

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