43: general.quantization_version u32 = 2llama_model_loader: - type f32: 377 tensors/shared/dev/llama.cpp/src/llama.cpp:16840: GGML_ASSERT((qs.n_attention_wv == n_attn_layer) &&"n_attention_wv is unexpected") failed[Thread debugging using libthread_db enabled]Using host libthread_db...
针对你遇到的问题“import flash_attn rms_norm fail, please install flashattention layer_norm to”,这里是一些步骤和解释来帮助你解决这个问题: 确认问题原因: 报错信息表明你的代码中尝试导入flash_attn或rms_norm时失败了,并且提示需要安装flashattention库中的layer_norm模块。这通常意味着你的环境中缺少flashat...
📖CUDA-Learn-Notes: 🎉CUDA/C++ 笔记 / 技术博客: fp32、fp16/bf16、fp8/int8、flash_attn、sgemm、sgemv、warp/block reduce、dot prod、elementwise、softmax、layernorm、rmsnorm、hist etc. 👉News: Most of my time now is focused on LLM/VLM/Diffusion Inference. Please check 📖Awesome-LLM...
Some models (e.g. InternVideo2 multi modality) depend on flash attention extensions. We would like to add additional outputs for: fused_dense_lib: csrc/fused_dense_lib layer_norm: csrc/layer_norm
📖CUDA Learn Notes with PyTorch: fp32、fp16/bf16、fp8/int8、flash_attn、sgemm、sgemv、warp/block reduce、dot prod、elementwise、softmax、layernorm、rmsnorm、hist etc. 👉News: Most of my time now is focused on LLM/VLM/Diffusion Inference. Please check 📖Awesome-LLM-Inference , 📖...
📖CUDA-Learn-Notes: 🎉CUDA/C++ 笔记 / 技术博客:fp32、fp16/bf16、fp8/int8、flash_attn、sgemm、sgemv、warp/block reduce、dot prod、elementwise、softmax、layernorm、rmsnorm、hist etc. 👉News: Most of my time now is focused onLLM/VLM/DiffusionInference. Please check 📖Awesome-LLM-Infer...
📒CUDA-Learn-Notes: 🎉CUDA/C++ 笔记 / 大模型手撕CUDA / 技术博客,更新随缘: flash_attn、sgemm、sgemv、warp reduce、block reduce、dot、elementwise、softmax、layernorm、rmsnorm、histogram、relu、sigmoid etc. 👉News: Most of my time now is focused on LLM/VLM Inference. Please check 📖...
🎉CUDA/C++ 笔记 / 技术博客: fp32、fp16/bf16、fp8/int8、flash_attn、sgemm、sgemv、warp/block reduce、dot prod、elementwise、softmax、layernorm、rmsnorm、hist etc. - noticeable/CUDA-Learn-Notes