GLM 4.5 Air AWQ 4bit is an open-source language model by cpatonn. Features: 18.6b LLM, VRAM: 63.4GB, Context: 128K, License: mit, Quantized, LLM Explorer Score: 0.34.
4bit Autotrain compatible Awq Base model:quantized:zai-org/g... Base model:zai-org/glm-4.5-air Compressed-tensors Conversational En Endpoints compatible Glm4 moe Quantized Region:us Safetensors Sharded Tensorflow Zh
Model Card on HF 🤗: https://huggingface.co/cpatonn/GLM-4.5-Air-AWQ-4bit
GLM 4.5 Air AWQ 4bit 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 4.5 Air AWQ 4bit Parameters and Internals
| LLM Name | GLM 4.5 Air AWQ 4bit |
| Repository 🤗 | https://huggingface.co/cpatonn/GLM-4.5-Air-AWQ-4bit |
| Base Model(s) | |
| Model Size | 18.6b |
| Required VRAM | 63.4 GB |
| Updated | 2025-11-27 |
| Maintainer | cpatonn |
| Model Type | glm4_moe |
| Model Files | |
| Supported Languages | en zh |
| AWQ Quantization | Yes |
| Quantization Type | awq|4bit |
| Model Architecture | Glm4MoeForCausalLM |
| License | mit |
| Context Length | 131072 |
| Model Max Length | 131072 |
| Transformers Version | 4.56.0.dev0 |
| Tokenizer Class | PreTrainedTokenizerFast |
| Padding Token | <|endoftext|> |
| Vocabulary Size | 151552 |
| Torch Data Type | bfloat16 |
Best Alternatives to GLM 4.5 Air AWQ 4bit
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| GLM 4.5 Air AWQ 4bit | 128K / 63.4 GB | 91733 | 27 |
Rank the GLM 4.5 Air AWQ 4bit 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? 51633 in total.
Original data from HuggingFace, OpenCompass and various public git repos.
Check out Ag3ntum — our secure, self-hosted AI agent for server management.
Release v20241124