peculiar-ragdoll/Dirk-Qwen3.8-27B-GGUF
Image-Text-to-Text • 27B • Updated • 951k • 190
Test
-
-
IFM/K2-Horizon-MoVA-36B-A4B-GGUF
Text Generation • 37B • Updated • 21.2k • 127 -
Tinker-Stack/DeepSeek-V4-Flash-0731-REAP-150b-TQ3_4S-GGUF
Text Generation • 150B • Updated • 5.41k -
talhasarac/Qwen3.8-Flash-Next-REAP128-86B-Unity-OpenCode-GGUF
Text Generation • 86B • Updated • 4.78k • 3 -
cyankiwi/Qwen3.8-Flash-Next-AWQ-INT4
Image-Text-to-Text • 79B • Updated • 11.9k • 23 -
ludo-tech/DeepSeek-V4-Flash-REAP-145B-A13B
146B • Updated • 43 • 2 -
vectionlabs/Salience-1.5-Flash
Image-Text-to-Text • 31B • Updated • 189 • 10 -
vectionlabs/Salience-27B-R5
Image-Text-to-Text • 28B • Updated • 244 • 33 -
QuaduxIT/Qwen3.8-27B-Whitehat-GGUF
Image-Text-to-Text • 27B • Updated • 12.7k • 10 -
Blackfrost-Research/M.O.G.-SEC-27B-1M-CTX-BF16
Image-Text-to-Text • 28B • Updated • 116 • • 7 -
ProCreations/auto-1b
Text Classification • 1B • Updated • 129 • 16 -
Agnes-AI/Agnes-3.0-Flash
Image-Text-to-Text • 33B • Updated • 2.04k • 244 -
nex-agi/Nex-N2.5-mini
Text Generation • 35B • Updated • 9.34k • 844 -
deepgrove/maple-preview
Text Generation • 20B • Updated • 2.55k • 420 -
IFM/K2-Horizon-MoVA-36B-A4B
Text Generation • 37B • Updated • 18.5k • • 375 -
AnonimousA/Qwen3.8-Flash-Next-REAP-320-GGUF
Text Generation • 132B • Updated • 33.3k • 20 -
deepgrove/maple-preview-GGUF
Text Generation • 20B • Updated • 24.5k • 92
XHToken/Spark-X2.5-4B
Text Generation • 4B • Updated • 35.2k • 1.32kNote Fast, viable bare-minimum for resource-constrained systems. Good LORD does it overshadow Qwen on the excessive reasoning output. Takes forever because it spends forever reasoning, but can seemingly do real work, eventually.
-
peculiar-ragdoll/Nail-Qwen3.6-35B-A3B-GGUF
Image-Text-to-Text • 35B • Updated • 8.17k • 100
ProCreations/grug-v1.1-qwen-3.8-27b
Text Generation • 27B • Updated • 307 • 19Note Quite prone to looping, wasn't able to get much useful work done
prism-ml/Ternary-Bonsai-2-27B-gguf
Text Generation • 27B • Updated • 3.11M • 2.06kNote Pretty good. With spec decode can be faster than other 27B Qwens. Weaker at valid solutions but so far not terribly so; perhaps a reasonable compromise for memory-constrained environments, may not be worth it on others.
ukisai/Swift-Qwen3.8-27B-GGUF
Image-Text-to-Text • 27B • Updated • 182k • 398Note Overall solid model, pretty good, doesn't overthink, not fast on generation and lacks mtp
logic65/Qwen3.8-Whittle-MoE-27B-A17.8B
27B • Updated • 32.3k • 119Note Quite fast, hallucinates a lot
-
peculiar-ragdoll/Cyber-Tiel-Coder-35B-A3B-GGUF-MTP
Image-Text-to-Text • 36B • Updated • 58.7k • 134 -
peculiar-ragdoll/Tiel-Coder-35B-A3B-GGUF
Image-Text-to-Text • 35B • Updated • 497k • 340 -
EschaLabs/Qwen3.8-27B-Escha-W2
Text Generation • 6B • Updated • 2.16k • 165