occiglot10b-dpo — GGUF

GGUF conversion of occiglot/occiglot-7b-de-en. Occiglot 10B DPO variant.

Files

| File | Size |

|------|------|

| occiglot10b-dpo-q4-k-m.gguf | 5663 MB |

Compatible with llama.cpp and other GGUF runtimes.

Upstream model: occiglot/occiglot-7b-de-en — 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.

Question 2

What license applies to cstr/occiglot10b-dpo-GGUF?

Accepted Answer

License: apache-2.0. Verify terms on Hugging Face before commercial use.

Question 3

How do I run cstr/occiglot10b-dpo-GGUF locally?

Accepted Answer

Download a GGUF file from this page and load it in guIDE or llama.cpp. Pipeline task: text-generation.

Question 4

How much VRAM or disk space does cstr/occiglot10b-dpo-GGUF need?

Accepted Answer

Runs locally from ~5.53 GB disk (8 GB VRAM class GPUs with llama.cpp / guIDE).