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AI 모델 탐색 30

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Qwen3.6-35B-A3Bcmf

infosave

基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。

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Qwen3.8-27B (48 GatedDeltaNet linear-attention layers + 16 full-attention layers, 262k context, thinking mode) packaged as a single CMF file. It runs with `cortiq`, a Rust inference engine with no Python and no ML framework: NVIDIA, AMD and Intel GPUs through Vulkan/DX12, Apple silicon through Metal, and the CPU. Use cortiq 0.8.15 or later for fast prompt processing; prebuilt binaries for Linux, macOS and Windows are on the releases page. The engine picks the GPU and its settings itself. `--no-think` asks for a direct answer; without it the model reasons first, so raise `--max-tokens` (default 256). The 4-bit files are quantized directly from the bf16 checkpoint. Perplexity: twelve 512-token windows of wikitext-2.

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Qwen3.8-Flash-Next-cmf

infosave

Qwen3.8-Flash-Next — a 125B hybrid mixture-of-experts model, 6B active per token (36 Gated DeltaNet + 12 sparse-attention layers, 512 experts per layer, 51B n-gram table, 262k context, thinking mode) — as CMF files, text only. It runs with `cortiq`, a Rust engine with no Python. Experts stream from the memory-mapped file as tokens need them, so the default 77 GB file runs on one GPU (measured from a 12 GB VRAM budget up to a whole 32 GB card) with the rest in system RAM. **RTX 3090 (24 GB), cortiq 0.8.15: 49.1 tok/s decode; first token after a 1,000-token prompt in 9.9 s.** RTX 5090 (cortiq 0.8.8): 81.7 tok/s, 108.6 with speculative decoding. Use cortiq 0.8.15 or later (prebuilt binaries). Without `--no-think` the model reasons first; raise `--max-tokens` (default 256). Each `cortiq run` loads the model again (10–30 s to the first token); for chat, keep it loaded with `cortiq serve`.

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Spark-X2.5-cmf

infosave

Spark-X2.5-4B and Spark-X2.5-1.7B (hybrid attention: three 512-token sliding-window layers per full layer, 1M-token context, thinking mode, tool calling, 200+ languages) packaged as single CMF files. They run with `cortiq`, a Rust inference engine with no Python and no ML framework: NVIDIA, AMD and Intel GPUs through Vulkan/DX12, Apple silicon through Metal, and the CPU. Use cortiq 0.8.12 or later; prebuilt binaries for Linux, macOS and Windows are on the releases page. The engine picks the GPU and its settings itself. `--no-think` asks for a direct answer; without it the model reasons in a ` ` block first, so raise `--max-tokens` (default 256). All files are quantized from the bf16 checkpoints. Perplexity: the first 4096 tokens of wikitext-2 test with the BOS token in front; the unquantized models score 10.61 (4B) and 14.49 (1.7B; transformers in float32 gives the same 14.49). Spark is sensitive to 4-bit attention and down projections, so only gate/up are 4-bit in the compact files.

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