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quant:
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Official checkpoint (FP8 dense, FP4 experts); software FP8 on sm_80 ·
AutoRound 3 bpw + MTP: klee100/Qwen3.8-Flash-Next-AutoRound-3bpw-MTP; 95.37 GiB BF16 PLE table on SSD ·
AutoRound mixed 2/3-bit (klee100, 2.998 effective bpw, 47 GiB on card) plus halt95's FP8 n-gram table in host RAM ·
AWQ INT4: cyankiwi/Qwen3.8-Flash-Next-AWQ-INT4; 95 GiB BF16 PLE table in host RAM (FP8 table optional) ·
AWQ W4A16 g32 (leoncca/Qwen3.8-Flash-Next-Uncensored-AWQ-g32); PLE table converted to INT4 and served from SSD ·
AWQ W4A16: wtdcode/Qwen3.8-Flash-Next-AWQ-W4A16 ·
EXL3 3.05 bpw: turboderp/GLM-5.3-Flash-exl3 ·
EXL3 3.05 bpw: turboderp/GLM-5.3-Flash-exl3; DFlash2 drafter converted to EXL3 6 bpw ·
EXL3 3.5 bpw (LibertAIDAI; routed experts 4 bpw on layers 0-9 and 30-39, 3 bpw on 10-29; attention and shared experts 6 bpw) plus the official Engram shards ·
EXL3 5.05 bpw; PLE (n-gram) table read from SSD ·
GLM-5.3-Int4-Int8Mix (INT4 / INT8 mix); KV fp8_ds_mla ·
GLM-5.3-Int4-Int8Mix-AWQ-g64; drafter incoai/GLM-5.3-DFlash2 ·
Hybrid: all 40 expert layers at 3 bits (LibertAI 2.9 bpw pack with layers 18-22 grafted from the 3.5 bpw pack), official FP8 dense tensors ·
Hybrid: LibertAI EXL3 2.9 bpw routed experts (layers 0-39), official FP8/FP4 for attention, shared experts, head, draft and Engram; KV fp8_ds_mla ·
Hybrid: routed experts EXL3 (mostly 3 bpw, 2 bpw on layers 18-22) from LibertAI's 2.9 bpw pack; attention, shared experts, indexer and DSpark drafter official FP8; KV fp8_ds_mla ·
Hybrid: routed experts EXL3 2.9 bpw (LibertAIDAI), everything else official FP8/BF16 with the 38 heretic attn.wo_b tensors ·
Hybrid: routed experts EXL3 2.9 bpw (LibertAIDAI), everything else official FP8/BF16; KV BF16 ·
Maya GGUF (Maya-S 340 GB or Maya-XS 277 GB; Engram tables stay on SSD) ·
Maya-M GGUF (116 GB), every expert in VRAM; Maya-S (96.5 GB) and Maya-S24 (94.7 GB) also reported ·
Mixed INT4 AutoRound (Minachist/Qwen3.8-Flash-Next-INT4-Mixed-AutoRound, about 65 GB) with the full BF16 PLE table on NVMe ·
NVFP4 (ModelOpt mixed precision): ProCreations/MiMo-V2.6-Flash-RL-NVFP4, run as 4-bit weights with BF16 activations through Marlin ·
Official checkpoint as downloaded: MXFP4 routed experts as Marlin W4A16, MXFP8 dense as Marlin W8A16; KV fp8 ·
Official checkpoint: dense MXFP8 through an SM80 Marlin W8A16 path, routed experts MXFP4 through W4A16; KV FP8 ·
W4A16 (INT4 weights, group size 128, FP16 activations): canada-quant/GLM-5.3-Flash-W4A16-MTP ·
W4A16 (INT4 weights, Marlin kernels) ·
W4A16 AutoRound: Intel/Qwen3.8-Flash-Next-W4A16-AutoRound; 95.4 GiB BF16 PLE table streamed from NVMe; KV fp8 e4m3 (software-decoded on SM80) ·
W4A16 INT4 g128 with the PLE table repacked INT4 g32: zankich/Qwen3.8-Flash-Next-W4A16-Merlin-INT4PLE-FP8KV; KV BF16 ·
W4A16, about 4.3 bpw, 163 GiB on disk ·
W4A16: halt95/Qwen3.8-Flash-Next-W4A16-Merlin (AutoRound INT4 g128 experts, INT8 GDN projections, FP8 n-gram table) ·
Other ·
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vram per card:
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64 GB ·
64 GiB ·
64 GiB exposed, --gpu-memory-utilization 0.95 ·
64 GiB, --gpu-memory-utilization 0.95 ·
64 GB, --gpu-memory-utilization 0.94, TB_TORCH_MEM_CAP_GIB=61.5 ·
64 GB, --gpu-memory-utilization 0.95 ·
64 GB; weights 35.9 GB per rank (ranks 1-6), 37.6 GB rank 0, 46.3 GB rank 7 ·
64 GiB (64,911 MiB usable), GPU_MEMORY_UTILIZATION 0.98 ·
64 GiB, --gpu-memory-utilization 0.90 ·
64 GiB, --gpu-memory-utilization 0.92 (miner co-resident) ·
64 GiB, --gpu-memory-utilization 0.95 (fixed) ·
64 GiB, --gpu-memory-utilization 0.96 ·
64 GiB, --gpu-memory-utilization 0.97 ·
64 GiB, gpu-memory-utilization 0.92 ·
64 GiB, GPU_MEMORY_UTILIZATION 0.95 ·
64 GiB, GPU_UTIL 0.95 (fixed) ·
64 GiB, GPU_UTIL 0.96 at PP8 ·
64 GiB; weights 45.5 GiB plus 10 GiB KV per card; GPU_UTIL 0.94 (fixed) ·
64 GiB; weights PP0 39.48 GiB, PP1 45.53 GiB; --gpu-memory-utilization 0.9 ·
about 58 GiB of 64 GiB (116.6 GiB resident across both) ·
about 62.5 GB used of 64 GB, --gpu-memory-utilization 0.97 ·
about 62.9 / 62.3 GiB idle, peaks about 64.4 / 63.0 GiB with vision ·
gpu_split 58 GB per CMP, 70 GB on the PRO ·
Other ·
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