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prithivMLmods/CogEvol-4B-GGUF overview

CogEvol 4B GGUF CogEvol 4B https://huggingface.co/CogEvol/CogEvol 4B is an open, post trained model built on Qwen3.5 4B for Learning Environment Generation LEG…

transformersgguftext-generation-inferenceqwen3_5learning-environment-generationslide-generationinteractive-htmleducationtext-generationenzharxiv:2608.30968base_model:CogEvol/CogEvol-4Bbase_model:quantized:CogEvol/CogEvol-4Blicense:apache-2.0endpoints_compatibleregion:usconversational

Runs locally from ~644.3 MB disk (4 GB VRAM class GPUs with llama.cpp / guIDE).

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Pipeline
text-generation

Repository Files & Downloads

11 GGUF files detected
Direct downloads for local inference
FileTypeQuantizationSizeLink
CogEvol-4B.BF16.ggufGGUFGGUF7.85 GBDownload
CogEvol-4B.Q3_K_L.ggufGGUFGGUF2.26 GBDownload
CogEvol-4B.Q3_K_M.ggufGGUFGGUF2.11 GBDownload
CogEvol-4B.Q3_K_S.ggufGGUFGGUF1.93 GBDownload
CogEvol-4B.Q4_0.ggufGGUFGGUF2.37 GBDownload
CogEvol-4B.Q4_K_M.ggufGGUFGGUF2.52 GBDownload
CogEvol-4B.Q4_K_S.ggufGGUFGGUF2.39 GBDownload
CogEvol-4B.Q5_0.ggufGGUFGGUF2.78 GBDownload
CogEvol-4B.Q5_K_M.ggufGGUFGGUF2.86 GBDownload
CogEvol-4B.Q5_K_S.ggufGGUFGGUF2.78 GBDownload
CogEvol-4B.mmproj-bf16.ggufGGUFBF16644.3 MBDownload

Model Details

Model IDprithivMLmods/CogEvol-4B-GGUF
AuthorprithivMLmods
Pipelinetext-generation
Licenseapache-2.0
Base modelCogEvol/CogEvol-4B
Last modified2026-09-01T11:10:13.000Z

Model README

---

license: apache-2.0

library_name: transformers

tags:

  • text-generation-inference
  • qwen3_5
  • learning-environment-generation
  • slide-generation
  • interactive-html
  • education

language:

  • en
  • zh

base_model:

  • CogEvol/CogEvol-4B

pipeline_tag: text-generation

---

CogEvol-4B-GGUF

> CogEvol-4B is an open, post-trained model built on Qwen3.5-4B for Learning Environment Generation (LEG) — given a natural-language course brief, it generates complete, usable learning artifacts in a single pass, either as a structured-JSON slide page or a self-contained interactive HTML page (simulations, visualizations, interactive exercises) that runs directly in the browser. As the small open member of the CogEvol family, it was trained through a three-stage recipe — mixed SFT, followed by Slide RL, then interactive-HTML RL — on 53,687 verified samples, using a hybrid rule-and-VLM reward system hardened against reward hacking so that interactivity is measured via automated probes rather than judged superficially, as detailed in the accompanying paper "CogEvol: Towards Efficient and Reliable Learning Environment Generation" (arXiv:2608.30968). It's deployable via SGLang, vLLM, or llama.cpp (with a quantized Q4_K_M GGUF at ~2.4GB also available), requires thinking mode disabled at inference and the shipped system prompt template for slide generation, and integrates with the OpenMAIC app for fully offline use, with a complete deployment guide, serving scripts, and evaluation tools available on the project's GitHub repository; it's released under the Apache 2.0 license.

Model Files

File Name | Quant Type | File Size | File Link |

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

| CogEvol-4B.BF16.gguf | BF16 | 8.42 GB | Download |

| CogEvol-4B.Q3_K_L.gguf | Q3_K_L | 2.42 GB | Download |

| CogEvol-4B.Q3_K_M.gguf | Q3_K_M | 2.26 GB | Download |

| CogEvol-4B.Q3_K_S.gguf | Q3_K_S | 2.07 GB | Download |

| CogEvol-4B.Q4_0.gguf | Q4_0 | 2.54 GB | Download |

| CogEvol-4B.Q4_K_M.gguf | Q4_K_M | 2.71 GB | Download |

| CogEvol-4B.Q4_K_S.gguf | Q4_K_S | 2.56 GB | Download |

| CogEvol-4B.Q5_0.gguf | Q5_0 | 2.99 GB | Download |

| CogEvol-4B.Q5_K_M.gguf | Q5_K_M | 3.07 GB | Download |

| CogEvol-4B.Q5_K_S.gguf | Q5_K_S | 2.99 GB | Download |

| CogEvol-4B.mmproj-bf16.gguf | mmproj-bf16 | 676 MB | Download |

llama.cpp

LLM inference in C/C++ — https://github.com/ggml-org/llama.cpp

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