ubergarm

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Qwen3.5-122B-A10B-GGUF

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Tensor blk.47.ffn_up_exps.weight buffer type overriden to CPU
llm_load_tensors: offloading 48 repeating layers to GPU
llm_load_tensors: offloading non-repeating layers to GPU
llm_load_tensors: offloaded 49/49 layers to GPU
llm_load_tensors: CPU buffer size = 56688.00 MiB
llm_load_tensors: CUDA_Host buffer size = 602.46 MiB
llm_load_tensors: CUDA0 buffer size = 5397.56 MiB
...................................................................................................~ggml_backend_cuda_context: have 0 graphs
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===================================== llama_init_from_model: f16
llama_init_from_model: n_ctx = 250112
llama_init_from_model: n_batch = 8096
llama_init_from_model: n_ubatch = 8096
llama_init_from_model: flash_attn = 1
llama_init_from_model: attn_max_b = 8096
llama_init_from_model: fused_moe = 1
llama_init_from_model: grouped er = 1
llama_init_from_model: fused_up_gate = 1
llama_init_from_model: fused_mmad = 1
llama_init_from_model: rope_cache = 0
llama_init_from_model: graph_reuse = 1
llama_init_from_model: k_cache_hadam = 0
llama_init_from_model: split_mode_graph_scheduling = 0
llama_init_from_model: reduce_type = f16
llama_init_from_model: sched_async = 0
llama_init_from_model: ser = -1, 0
llama_init_from_model: freq_base = 10000000.0
llama_init_from_model: freq_scale = 1
llama_kv_cache_init: CUDA0 KV buffer size = 6011.06 MiB
llama_init_from_model: KV self size = 5862.00 MiB, K (f16): 2931.00 MiB, V (f16): 2931.00 MiB
llama_init_from_model: CUDA_Host output buffer size = 0.95 MiB
llama_init_from_model: CUDA0 compute buffer size = 7763.94 MiB
llama_init_from_model: CUDA_Host compute buffer size = 3957.34 MiB
llama_init_from_model: graph nodes = 114982
llama_init_from_model: graph splits = 98
llama_init_from_model: enabling only_active_experts scheduling

main: n_kv_max = 250112, n_batch = 8096, n_ubatch = 8096, flash_attn = 1, n_gpu_layers = 99, n_threads = 101, n_threads_batch = 101