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allemanfredi/inferno-glm-5.2-q2-expertpack
inferno-glm-5.2-q2-expertpack is a machine learning model from allemanfredi. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as mit.
This repository contains the Inferno ExpertPack for GLM-5.2-UD-Q2KRoutedQ2K.gguf.
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From the Hugging Face model README
This repository contains the Inferno ExpertPack for
GLM-5.2-UD-Q2_K_RoutedQ2K.gguf.
The ExpertPack is a lossless physical reordering of the routed Q2 expert payloads published by Antirez. It keeps the quantized expert bytes unchanged and places each expert's gate, up, and down matrices next to each other. This layout is designed for demand-driven SSD streaming by Inferno on Apple Silicon.
This artifact is not a standalone model and does not replace the source GGUF. Inferno also requires:
GLM-5.2-UD-Q2_K_RoutedQ2K.ggufconfig.jsontokenizer.jsonThese source files are available from antirez/glm-5.2-gguf.
| Field | Value |
|---|---|
| File | GLM-5.2-UD-Q2_K_RoutedQ2K-Inferno-ExpertPack-v1.q2pack |
| Size | 240987934720 bytes |
| Format | Inferno ExpertPack |
| Format version | 1 |
| Source | GLM-5.2-UD-Q2_K_RoutedQ2K.gguf |
| Runtime | Inferno |
The file starts with a 4 KiB header followed by fixed-size expert records in layer-major, expert-major order:
header -> [layer][expert][gate][up][down]
This lets Inferno issue large contiguous SSD reads for selected experts instead of relying on scattered page faults into the component-major GGUF layout.
The ExpertPack is intended only for running the target GLM-5.2 Q2 artifact with Inferno on Apple Silicon. It contains routed-expert weights only. Embeddings, attention weights, dense layers, normalization weights, the output head, configuration, and tokenizer remain in their original files.
Place the source files and ExpertPack in one directory:
models/glm-5.2/
config.json
tokenizer.json
GLM-5.2-UD-Q2_K_RoutedQ2K.gguf
GLM-5.2-UD-Q2_K_RoutedQ2K-Inferno-ExpertPack-v1.q2pack
Build and start Inferno:
git clone https://github.com/nektarlabs/inferno.git
cd inferno
cargo build --release
target/release/inferno
Inferno discovers the ExpertPack in the model directory and validates its version, source layout fingerprint, dimensions, component strides, and exact file size before use. A pack generated from a different GGUF is rejected.
After this repository is published, the artifact can be downloaded with:
hf download allemanfredi/inferno-glm-5.2-q2-expertpack \
GLM-5.2-UD-Q2_K_RoutedQ2K-Inferno-ExpertPack-v1.q2pack \
--local-dir models/glm-5.2
The ExpertPack can be recreated losslessly from the source GGUF:
cargo run --release -p inferno --example pack_experts -- \
--model models/glm-5.2
Creation is resumable at complete expert-record boundaries. The final file is published atomically after its structure and size have been validated.
GLM-5.2 was created and released by Z.ai.
The Q2 GGUF used as the direct source for this artifact was produced and published by Antirez in antirez/glm-5.2-gguf.
Inferno changes only the physical ordering of routed-expert payloads required for its SSD streaming path. It does not modify their quantized values.
This derived artifact is distributed under the MIT License, following the license of the source GLM-5.2 model. See the source model repositories and the Inferno license for details.