4-bit Autotrain compatible Awq Awq marlin Base model:quantized:zai-org/g... Base model:zai-org/glm-4.5-air Conversational Endpoints compatible Fp16mix Glm4 moe Quantization fix Quantized Region:us Safetensors Sharded Tensorflow Vllm
Model Card on HF 🤗: https://huggingface.co/QuantTrio/GLM-4.5-Air-AWQ-FP16Mix
GLM 4.5 Air AWQ FP16Mix 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 FP16Mix Parameters and Internals
| LLM Name | GLM 4.5 Air AWQ FP16Mix |
| Repository 🤗 | https://huggingface.co/QuantTrio/GLM-4.5-Air-AWQ-FP16Mix |
| Base Model(s) | |
| Model Size | 23.9b |
| Required VRAM | 73.1 GB |
| Updated | 2025-09-23 |
| Maintainer | QuantTrio |
| Model Type | glm4_moe |
| Model Files | |
| AWQ Quantization | Yes |
| Quantization Type | awq |
| Model Architecture | Glm4MoeForCausalLM |
| Context Length | 131072 |
| Model Max Length | 131072 |
| Transformers Version | 4.54.0 |
| Tokenizer Class | PreTrainedTokenizer |
| Padding Token | <|endoftext|> |
| Vocabulary Size | 151552 |
| Torch Data Type | float16 |
Rank the GLM 4.5 Air AWQ FP16Mix Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124