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GLM-5.3-Flash

UD-IQ2_XXS GGUF + mmproj · huihui-ai/Huihui-GLM-5.3-Flash-abliterated-GGUF

queued abliterated

Publisherhuihui-ai
Modalitytext+vision LLM
Parameters320.0B total / 18.0B active
320B total, 18B active (model card). 288 routed experts, 8 per token; 34 linear + 11 sparse-attention layers (config.json). Source: model card.
FormatUD-IQ2_XXS GGUF + mmproj
Size on disk95.93 GiB (103,008,971,277 bytes)
Estimated memory to run~112.2 GB (estimate; see method)
Native context1,048,576 tokens (config/card)
Enginellama.cpp · recipe
Licensemit
MIT: commercial OK.
Archive folderabliterated
NotesAbliterated twin of the unsloth one-box GLM pick.

Abliterated model: refusal behaviour was removed or suppressed by a third party. Use it only for lawful research on systems you own or are authorised to test, keep it off public endpoints, and you own whatever it produces. See responsibility note.

Where it runs

MachineVerdictBudget used
Bosgame M5 (x1)Tight / offload
≈37.2 tok/s ceiling
~108-110 GB GPU-usable on Linux with GTT raised (96 GB cap on Windows). Fit budget used here: 108 GB.
Bosgame M5 (x2, RPC)Fits
≈30.5 tok/s ceiling
~200-225 GB usable across two nodes. Fit budget used here: 210 GB; 210-225 GB = tight.
MacBook Pro (M4 Max)NomacOS caps GPU wired memory by default (~75% = ~27 GB). Raising iogpu.wired_limit_mb to ~32 GB is possible but leaves little for the OS.
Mac mini (M4)No~2/3 of 16 GB usable by the GPU by default. Already busy as build box + Hermes/Ollama.
omarchy (AMD desktop)After 128 GB RAM7 GB of the 8 GB VRAM for weights. Offload capacity depends on system RAM, which is unknown today; after the 128 GB upgrade ~110 GB of MoE experts could sit in RAM.
Ugreen DXP2800 NASNoStorage host. Already runs ollama/open-webui containers; only tiny models (e.g. Whisper on CPU) are realistic.
MacBook NeoUnknownSpecs unknown: machine was offline/unreachable on Nov 14 2026.

Token/s = theoretical ceiling from memory bandwidth and active weight bytes; not a benchmark. Nothing on this page is a benchmark score.