ollama/model/models
Jeffrey Morgan 64737330a4
Re-apply "model: add MLA absorption for glm4moelite" with fix (#13870)
The nvidia_fp32 config for (576, 512) head sizes had nbatch_fa=32,
which caused zero-sized arrays when computing array dimensions:
  nbatch_fa / (np * warp_size) = 32 / (2 * 32) = 0

This resulted in CUDA compilation failures on CUDA 12 (Windows and
Linux arm64):
- "static assertion failed with nbatch_fa % (np*warp_size) != 0"
- "the size of an array must be greater than zero"

Fix by changing nbatch_fa from 32 to 64 for all (576, 512) configs
in the nvidia_fp32 function, matching the nvidia_fp16 and AMD configs.
2026-01-23 18:40:28 -08:00
..
bert revert granite-embedding (#13505) 2025-12-16 15:44:52 -08:00
deepseek2 refactor rope 2025-12-08 14:42:22 -08:00
deepseekocr refactor rope 2025-12-08 14:42:22 -08:00
gemma2 refactor rope 2025-12-08 14:42:22 -08:00
gemma3 model: default gemma 3 rope scale to 1.0, apply corrections based on layer counts (#13453) 2025-12-12 17:51:56 -08:00
gemma3n refactor rope 2025-12-08 14:42:22 -08:00
glm4moelite Re-apply "model: add MLA absorption for glm4moelite" with fix (#13870) 2026-01-23 18:40:28 -08:00
gptoss refactor rope 2025-12-08 14:42:22 -08:00
lfm2 model: add lfm2 architecture and LFM2.5-1.2B-Thinking support (#13792) 2026-01-20 12:20:53 -08:00
llama refactor rope 2025-12-08 14:42:22 -08:00
llama4 refactor rope 2025-12-08 14:42:22 -08:00
mistral3 model: fix rotary embeddings for ministral 3 (#13432) 2025-12-11 16:02:05 -08:00
mllama refactor rope 2025-12-08 14:42:22 -08:00
nomicbert nomic-embed-text:v2: model implementation (#13162) 2025-12-09 14:24:51 -08:00
olmo3 model: add olmo3 and olmo3.1 (#13415) 2025-12-15 15:20:04 -08:00
qwen2 refactor rope 2025-12-08 14:42:22 -08:00
qwen3 refactor rope 2025-12-08 14:42:22 -08:00
qwen3vl refactor rope 2025-12-08 14:42:22 -08:00
qwen25vl fix: qwen2.5 vl rope (#13486) 2025-12-15 17:30:33 -08:00
models.go model: add lfm2 architecture and LFM2.5-1.2B-Thinking support (#13792) 2026-01-20 12:20:53 -08:00