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…
Runs locally from ~644.3 MB disk (4 GB VRAM class GPUs with llama.cpp / guIDE).
Repository Files & Downloads
| File | Type | Quantization | Size | Link |
|---|---|---|---|---|
| CogEvol-4B.BF16.gguf | GGUF | GGUF | 7.85 GB | Download |
| CogEvol-4B.Q3_K_L.gguf | GGUF | GGUF | 2.26 GB | Download |
| CogEvol-4B.Q3_K_M.gguf | GGUF | GGUF | 2.11 GB | Download |
| CogEvol-4B.Q3_K_S.gguf | GGUF | GGUF | 1.93 GB | Download |
| CogEvol-4B.Q4_0.gguf | GGUF | GGUF | 2.37 GB | Download |
| CogEvol-4B.Q4_K_M.gguf | GGUF | GGUF | 2.52 GB | Download |
| CogEvol-4B.Q4_K_S.gguf | GGUF | GGUF | 2.39 GB | Download |
| CogEvol-4B.Q5_0.gguf | GGUF | GGUF | 2.78 GB | Download |
| CogEvol-4B.Q5_K_M.gguf | GGUF | GGUF | 2.86 GB | Download |
| CogEvol-4B.Q5_K_S.gguf | GGUF | GGUF | 2.78 GB | Download |
| CogEvol-4B.mmproj-bf16.gguf | GGUF | BF16 | 644.3 MB | Download |
Model Details
| Model ID | prithivMLmods/CogEvol-4B-GGUF |
|---|---|
| Author | prithivMLmods |
| Pipeline | text-generation |
| License | apache-2.0 |
| Base model | CogEvol/CogEvol-4B |
| Last modified | 2026-09-01T11:10:13.000Z |
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
Run prithivMLmods/CogEvol-4B-GGUF with guIDE
Download guIDE — the AI-native code editor with local LLM inference and 69 built-in tools.
Source: Hugging Face · Compare models