GLM-5.3-Flash EXL3 4bpw for TensorFold
Mia-AiLab · Kit
4-bit EXL3 quantization of GLM-5.3-Flash prepared for TensorFold, with lower KL divergence than a popular TR3-4bpw quant at the same size. For people serving l…
Prompts, coding agent briefs and kits for writing and reviewing code with fewer tokens.
Mia-AiLab · Kit
4-bit EXL3 quantization of GLM-5.3-Flash prepared for TensorFold, with lower KL divergence than a popular TR3-4bpw quant at the same size. For people serving l…
Jundot · Kit
A mixed-precision MLX copy of zai-org's GLM-5.3-Flash multimodal mixture-of-experts model, about 4.6 bits per weight, with the vision encoder and multi-token p…
albucino · Kit
Runs GLM-5.3-Flash locally on two RTX 3090 cards with 128 GB of RAM and a 262,144-token context, using a verified 3.05 bpw EXL3 quantization. For people hostin…
0xSero · Kit
Runs GLM-5.3-Flash with a 256k-token context and image input on one DGX Spark, using a mixed 2.31 bits-per-weight EXL3 build. For people hosting a large model…
shashanth-27xA9 · Kit
A text generation model compressed from GLM-5.3-Flash to 9.2 GB that its author says runs on a 16 GB laptop or a free Colab T4. Non-commercial license.
Mia-AiLab · Kit
Quantized copy of GLM-5.3-Flash in EXL3 format, 156 GB, with narrower routed experts, about 11 percent smaller than the same lab's 4-bit version. For people ru…
deep-principle · Kit
A 4-bit NVFP4 build of Hydrogen-1.0, a 381B science and research assistant model from Deep Principle, based on GLM-5.3. It needs a multi-GPU NVIDIA Blackwell s…
zai-org · Kit
A 320B-parameter multimodal model with 18B active that reads text and images, with an adjustable thinking budget and a hybrid attention design for long context…
zai-org · Kit
A 753B-parameter open text model from zai-org for long, multi-step work such as coding and agent tasks, with a 1M-token context and an MIT license. For teams w…
nvidia · Kit
Gives you NVIDIA's NVFP4 quantized copy of ZAI's GLM-5.3-Flash, a multimodal model for reasoning, coding and agent tasks. Meant for developers who deploy on Bl…
lapadatbogdan · Kit
Runs a pruned GLM-5.3-Flash coding and agent model on a home PC, as GGUF files in five quant sizes. It keeps 152 of 288 experts per layer, cutting a 321B model…
peasantsmith · Kit
Five GGUF compressions of GLM-5.3-Flash, a 321B mixture-of-experts model, sized from 73.4 GB to 156.3 GB for Project Maya, which spreads the model across GPU,…
unsloth · Kit
Runs Unsloth's GGUF copy of the GLM-5.3-Flash text model on your own hardware, a large open model its authors aim at coding and agent work. For people with ple…
nex-agi · Kit
Handles computer use, coding and long tool-driven tasks as a multimodal agentic model built on GLM-5.3-Flash, in FP8 weights of about 321B parameters. For team…
zai-org · Kit
zai-org's natively multimodal GLM-5 series model with 320B total and 18B active parameters, with a hybrid sparse and linear attention design and a thinking bud…