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cstr/Starling-LM-7B-beta-GGUF overview

Starling LM 7B beta — GGUF GGUF conversion of Nexusflow/Starling LM 7B beta https://huggingface.co/Nexusflow/Starling LM 7B beta . Starling LM 7B RLHF chat mod…

ggufllmbase_model:Nexusflow/Starling-LM-7B-betabase_model:quantized:Nexusflow/Starling-LM-7B-betalicense: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
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Starling-LM-7B-beta-q4-k-m.ggufGGUFQ44.07 GBDownload

Model Details

Model IDcstr/Starling-LM-7B-beta-GGUF
Authorcstr
Pipeline
Licenseapache-2.0
Base modelNexusflow/Starling-LM-7B-beta
Last modified2026-08-02T15:17:48.000Z

Model README

---

license: apache-2.0

tags:

- gguf

- llm

base_model: Nexusflow/Starling-LM-7B-beta

---

Starling-LM-7B-beta — GGUF

GGUF conversion of Nexusflow/Starling-LM-7B-beta. Starling-LM 7B RLHF chat model.

Files

| File | Size |

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

| Starling-LM-7B-beta-q4-k-m.gguf | 4166 MB |

Compatible with llama.cpp and other GGUF runtimes.

Provenance and EU AI Act Art. 53 note

  • Upstream model: Nexusflow/Starling-LM-7B-beta — published by Nexusflow.
  • 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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