drforbin.ai Submit a torrent

GLM-5.3 BF16 safetensors (full precision)

drforbin.aiGLM-5.3 License
Open in client .torrent
urn:btih b51e5cf8b1b7762a06eedfd56f8f76ddd3953800

Z.ai's GLM-5.3, released August 2026 — the same 753B-parameter mixture-of-experts architecture as GLM-5.2 (glm_moe_dsa: MoE transformer with DSA sparse attention, 1M-token context, English/Chinese), with a new post-training round aimed at coding and agentic engineering: Z.ai reports roughly 50% better coding results than GLM-5.2 and state-of-the-art scores on Terminal Bench 3.0 and vulnerability-discovery benchmarks. Supports a reasoning_effort control (low / high / max).

License note: the GLM-5.3 License is permissive for research and commercial use; its only restriction is a Model-as-a-Service clause that applies to organisations above US$10B annual revenue. Read the license before building a hosted service on it.

This torrent mirrors the complete BF16 full-precision release weights (292 files, 32 MiB pieces) from the official Hugging Face GLM-5.3-BF16 repository — the unquantised weights rather than the FP8 main repo. Verify your download against the SHA-256 checksums on the model card.

Swarm verified via peer metadata fetch on 2026-08-29; size and file count are taken from the torrent metadata itself. Created and permanently seeded by drforbin.ai — this is the site's own release of the official Hugging Face weights.

codelong-contextmirrormoereasoningsafetensors

Something wrong?

Report dead torrent

No seeders, wrong payload, or the swarm is gone.

License concern

You believe this model's license does not permit redistribution.

Suggest an edit

Metadata is wrong or incomplete.

Other variants of this model

GLM-5.2 BF16 safetensors

753B (MoE) params · 1.51 TB · ctx 1024K

drforbin.aiMIT

Mixtral 8x22B Original release weights

141B (MoE 8×22B) params · 281.24 GB · ctx 64K

officialApache-2.0

Grok-1 Open release checkpoint (int8)

314B (MoE) params · 318.24 GB · ctx 8K

officialApache-2.0

Mixtral 8x7B Original release weights

46.7B (MoE 8×7B) params · 93.41 GB · ctx 32K

officialApache-2.0