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jai-ai-training-learning/
GLM-5.2-colibri-int4-with-int8-mtp

Name: GLM-5.2-colibri-int4-with-int8-mtp
Availability: InStock

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GLM-5.2 — colibrì int4 container (~370 GB)

This is the *EXACT SAME THING* as https://huggingface.co/jlnsrk/GLM-5.2-colibri-int4, BUT with int8 MTP heads, which are needed for speculative decoding—and with that, an overall major inference speedboost. The original int4 MTP heads have low acceptance rate, and are essentially useless.

⚠️ This is NOT a GGUF / AWQ / GPTQ / MLX model. It only works with the colibrì engine.

Usage

bash

# Get the engine
git clone https://github.com/JustVugg/colibri && cd colibri/c && ./setup.sh

# download this repo to a FAST local disk
hf download mateogrgic/GLM-5.2-colibri-int4-with-int8-mtp --local-dir /nvme/glm52

# run on CPU
COLI_MODEL=/nvme/glm52 ./coli chat

Requirements: Linux (or WSL2), gcc + OpenMP, AVX2, ≥16 GB RAM, ~400 GB free NVMe.

Provenance & license

Converted from zai-org/GLM-5.2-FP8 (MIT). This derivative is likewise MIT. Conversion performed with colibrì's official converter, unmodified. Cloned & modded from jlnsrk/GLM-5.2-colibri-int4

jai-ai-training-learning/GLM-5.2-colibri-int4-with-int8-mtp

GLM-5.2 — colibrì int4 container (~370 GB)

Usage

Provenance & license

jai-ai-training-learning/
GLM-5.2-colibri-int4-with-int8-mtp