GLM-5.3-Flash-FP4-Local, laid out for inferredThoughts

NVIDIA's GLM-5.3-Flash-FP4-Local, with each MoE layer's routed experts stacked into one block per projection, so the inferredThoughts engine can keep the experts a conversation uses on the GPU, the next ones in RAM and the rest on an NVMe SSD.

The weights are NVIDIA's, unchanged. This is a re-layout, not a new quantization: the same numbers in a different order. Every tensor that is not a routed expert is copied byte for byte under its own name.

Precision (NVIDIA's, kept as it is)

part stored as (from hf_quant_config.json)
routed experts, 42 MoE layers NVFP4: E2M1 values, E4M3 scales per 16 weights, FP32 global scale
the MTP layer's routed experts NVFP4, weights only (BF16 activations)
shared experts; the sparse-attention layers' projections FP8 E4M3, block-scaled, weights only
the linear-attention layers' projections, the three dense MLPs, lm_head MXFP8: E4M3 values, UE8M0 scales per 32 weights
embeddings, norms, routers BF16
vision tower NVFP4 (weights only) MLPs and merger, MXFP8 attention, the rest BF16

321.3B parameters by our count of the tensors (NVIDIA's card: 320B in total, 18B active).

Can I load it?

Only with inferredThoughts. The stacked layout is the engine's own; vLLM, SGLang and transformers read NVIDIA's original instead, so use that one with them. GLM-5.3-Flash support in inferredThoughts is not in a public release yet; this card will say which release runs it.

Files

file what
experts-003.safetensors ... experts-045.safetensors the routed experts, one MoE layer a file
dense-00001.safetensors ... dense-00003.safetensors everything else, byte for byte from the source
model.safetensors.index.json the tensor map
config.json, generation_config.json, hf_quant_config.json, processor_config.json, tokenizer.json, tokenizer_config.json, chat_template.jinja from the source, unchanged
NVIDIA-MODEL-CARD.md NVIDIA's model card for the source checkpoint, unchanged
NOTICE, LICENSE-NVIDIA-Open-Model-Agreement.pdf, LICENSE-MIT-GLM the licences and notices
SHA256SUMS SHA-256 of every file

Check a download with sha256sum --ignore-missing -c SHA256SUMS.

License

Use of this model is governed by the NVIDIA Open Model Agreement (LICENSE-NVIDIA-Open-Model-Agreement.pdf). The GLM-5.3-Flash base model is governed by the MIT License (LICENSE-MIT-GLM). See NOTICE.

This is an independent re-layout. It is not made, reviewed or endorsed by NVIDIA or by Z.ai.

Downloads last month
41
Safetensors
Model size
360B params
Tensor type
U8
·
I64
·
F8_E4M3
·
BF16
·
F32
·
Inference Providers NEW
This model isn't deployed by any Inference Provider. 🙋 Ask for provider support

Model tree for CompiledThoughts/GLM-5.3-Flash-FP4-Local-inferredthoughts

Quantized
(4)
this model