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Terra3312/GLM-5.3-Flash-EXL3-4bpw-MUL1
GLM-5.3-Flash-EXL3-4bpw-MUL1 is a text generation model from Terra3312. Use it when you need the model to write or continue text. It is set up for exllamav3. The card lists the license as mit.
An EXL3 quantization of zai-org/GLM-5.3-Flash, created with the mul1 codebook for ExLlamaV3.
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From the Hugging Face model README
An EXL3 quantization of zai-org/GLM-5.3-Flash, created with the mul1 codebook for ExLlamaV3.
This checkpoint is intended for efficient local inference with ExLlamaV3, with particular interest in single-stream decode performance on large MoE models.
The main language-model weights use 4.0 bpw. The vision component and lm_head use 6 bpw.
zai-org/GLM-5.3-Flashlm_head bitrate: 6 bpwmul11.4.4alwaysrows=250, cols=2048The calibration dataset, prompts, random seed, and exact ExLlamaV3 commit were not recorded in the checkpoint.
The checkpoint also preserves the original model-side quantization metadata:
e4m3[128, 128]The mul1 codebook is supported by ExLlamaV3's fused INT8-activation GEMV path.
For supported tensors, GPUs, and tensor shapes, this path may improve single-stream decode performance. Actual performance depends on GPU architecture, context length, tensor parallel configuration, runtime version, and workload.
To test the INT8 GEMV path:
EXL3_INT8_GEMV=2
To disable it:
EXL3_INT8_GEMV=0
The current ExLlamaV3 runtime uses the INT8 GEMV path by default where supported. See the ExLlamaV3 environment-variable documentation.
Use a recent ExLlamaV3 build with GLM-5.3-Flash and mul1 support.
Load the complete repository directory, including:
config.jsonquantization_config.jsonmodel.safetensors.index.jsonmodel-*.safetensors filesThis checkpoint is intended for ExLlamaV3-compatible local inference and is not an official release from Z.ai or ExLlamaV3.
The original GLM-5.3-Flash model is released under the MIT License. Please refer to the included LICENSE file and the original model repository for the applicable terms.