GLM 5.2 EXL3 TR3 3.25bpw is an open-source language model by willfalco. Features: 169.5b LLM, VRAM: 0.8GB, Context: 1024K, License: mit, MoE, LLM Explorer Score: 0.33.
Arxiv:2602.15763 Base model:quantized:zai-org/g... Base model:zai-org/glm-5.2 Blackwell Compression Conversational En Exl3 Glm Glm moe dsa Mixture-of-experts Modelopt Moe Quantization Region:us Safetensors Trellis Vllm Zh
Model Card on HF 🤗: https://huggingface.co/willfalco/GLM-5.2-EXL3-TR3-3.25bpw
GLM 5.2 EXL3 TR3 3.25bpw Benchmarks
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
What is the LLM Explorer Rank (Score)
GLM 5.2 EXL3 TR3 3.25bpw Parameters and Internals
| LLM Name | GLM 5.2 EXL3 TR3 3.25bpw |
| Repository 🤗 | https://huggingface.co/willfalco/GLM-5.2-EXL3-TR3-3.25bpw |
| Base Model(s) | |
| Model Size | 169.5b |
| Required VRAM | 0.8 GB |
| Updated | 2026-07-30 |
| Maintainer | willfalco |
| Model Type | glm_moe_dsa |
| Model Files | |
| Supported Languages | en zh |
| Model Architecture | GlmMoeDsaForCausalLM |
| License | mit |
| Context Length | 1048576 |
| Model Max Length | 1048576 |
| Transformers Version | 5.12.0 |
| Vocabulary Size | 154880 |
Rank the GLM 5.2 EXL3 TR3 3.25bpw Capabilities
🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟
What open-source LLMs or SLMs are you in search of? 55501 in total.
Original data from HuggingFace, Arena and various public git repos.
Check out Ag3ntum — our secure, self-hosted AI agent for server management.
Release v20260328a