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senaro/atlasv23-qwen3-8-27b-gguf overview

atlasv23 qwen3 8 27b gguf : GGUF This model was finetuned and converted to GGUF format using Unsloth https://github.com/unslothai/unsloth . Example usage : For…

ggufqwen3_5_textllama.cppunslothendataset:kintsugicollective/atlas-dataset-v8-finaldataset:senaro/atlas-region2-harmful-v7base_model:Qwen/Qwen3.8-27Bbase_model:quantized:Qwen/Qwen3.8-27Blicense:apache-2.0endpoints_compatibleregion:usconversational

Runs locally from ~3.69 GB disk (4 GB VRAM class GPUs with llama.cpp / guIDE).

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Repository Files & Downloads

3 GGUF files detected
Direct downloads for local inference
FileTypeQuantizationSizeLink
atlasv23-trm-qwen3-8-27b.BF16-00001-of-00002.ggufGGUFGGUF46.42 GBDownload
atlasv23-trm-qwen3-8-27b.BF16-00002-of-00002.ggufGGUFGGUF3.69 GBDownload
atlasv23-trm-qwen3-8-27b.Q4_K_M.ggufGGUFGGUF15.41 GBDownload

Model Details

Model IDsenaro/atlasv23-qwen3-8-27b-gguf
Authorsenaro
Pipeline
Licenseapache-2.0
Base modelQwen/Qwen3.8-27B,senaro/atlasv23-trm-qwen3-8-27b
Last modified2026-08-15T14:37:01.000Z

Model README

---

tags:

  • gguf
  • llama.cpp
  • unsloth

license: apache-2.0

datasets:

  • kintsugicollective/atlas-dataset-v8-final
  • senaro/atlas-region2-harmful-v7

language:

  • en

base_model:

  • Qwen/Qwen3.8-27B
  • senaro/atlasv23-trm-qwen3-8-27b

---

atlasv23-qwen3-8-27b-gguf : GGUF

This model was finetuned and converted to GGUF format using Unsloth.

Example usage:

  • For text only LLMs: llama-cli -hf senaro/atlasv23-qwen3-8-27b-gguf --jinja
  • For multimodal models: llama-mtmd-cli -hf senaro/atlasv23-qwen3-8-27b-gguf --jinja

This was trained 2x faster with Unsloth

<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>

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