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
GLM 4.5 Air AWQ 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 Parameters and Internals
| LLM Name | GLM 4.5 Air AWQ |
| Repository 🤗 | https://huggingface.co/cpatonn/GLM-4.5-Air-AWQ |
| Base Model(s) | |
| Model Size | 17.8b |
| Required VRAM | 61.9 GB |
| Updated | 2025-07-31 |
| Maintainer | cpatonn |
| Model Type | glm4_moe |
| Model Files | |
| Supported Languages | en zh |
| AWQ Quantization | Yes |
| Quantization Type | awq |
| Model Architecture | Glm4MoeForCausalLM |
| License | mit |
| Context Length | 131072 |
| Model Max Length | 131072 |
| Transformers Version | 4.54.0 |
| Tokenizer Class | PreTrainedTokenizerFast |
| Padding Token | <|endoftext|> |
| Vocabulary Size | 151552 |
| Torch Data Type | bfloat16 |
Rank the GLM 4.5 Air AWQ Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124