Bug: GPU Acceleration Not Working with Ccache installed for 2nd User on Linux #609
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lovenemesis
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What happened?
On the same Fedora 41 machine with AMD 7800XT, the llamafile was able to leverage GPU acceleration with one user, but fall backing to CPU inference if switching to another user. The llamafile engine, script and weight remain identical between those two users.
The script I used to launch llamafile is fairly straigforward:
However, calling the same script from user1 can activate GPU while user2 always fallback to CPU. I had tried to delete the
.llamafilefrom home directory of user2. But it doesn't appear to fix anything.I have always fully log-out from user1 and log-in to user2 to avoid potential device lock. And both users are members of
videogroup.I am a bit clueless on which part of configuration differen.e between 2 users could cause this.
Further search online directs me into this issue report .
It appears that for secondary users llamfile won't able to workaround the ccache to locate the actual compiler.
Uninstalling ccache returns the 2nd user GPU acceleration back to normal.
Version
llamafile 0.8.17
What operating system are you seeing the problem on?
Linux
Relevant log output
$ sudo id -nG user1 user1 wheel video $./llamafile-qwen2.sh {"function":"server_params_parse","level":"INFO","line":2724,"msg":"logging to file is disabled.","tid":"11804224","timestamp":1730675653} import_cuda_impl: initializing gpu module... link_cuda_dso: note: dynamically linking /home/user1/.llamafile/v/0.8.15/ggml-rocm.so ggml_cuda_link: welcome to ROCm SDK with tinyBLAS link_cuda_dso: GPU support loaded {"build":1500,"commit":"a30b324","function":"server_cli","level":"INFO","line":2898,"msg":"build info","tid":"11804224","timestamp":1730675653} {"function":"server_cli","level":"INFO","line":2905,"msg":"system info","n_threads":8,"n_threads_batch":8,"system_info":"AVX = 1 | AVX_VNNI = 0 | AVX2 = 1 | AVX512 = 0 | AVX512_VBMI = 0 | AVX512_VNNI = 0 | AVX512_BF16 = 0 | FMA = 1 | NEON = 0 | SVE = 0 | ARM_FMA = 0 | F16C = 1 | FP16_VA = 0 | WASM_SIMD = 0 | BLAS = 0 | SSE3 = 1 | SSSE3 = 1 | VSX = 0 | MATMUL_INT8 = 0 | LLAMAFILE = 1 | ","tid":"11804224","timestamp":1730675653,"total_threads":16} llama_model_loader: loaded meta data with 29 key-value pairs and 579 tensors from qwen2.5-14b-instruct-q5_k_m.gguf (version GGUF V3 (latest)) llama_model_loader: Dumping metadata keys/values. Note: KV overrides do not apply in this output. llama_model_loader: - kv 0: general.architecture str = qwen2 llama_model_loader: - kv 1: general.type str = model llama_model_loader: - kv 2: general.name str = qwen2.5-14b-instruct llama_model_loader: - kv 3: general.version str = v0.1 llama_model_loader: - kv 4: general.finetune str = qwen2.5-14b-instruct llama_model_loader: - kv 5: general.size_label str = 15B llama_model_loader: - kv 6: qwen2.block_count u32 = 48 llama_model_loader: - kv 7: qwen2.context_length u32 = 131072 llama_model_loader: - kv 8: qwen2.embedding_length u32 = 5120 llama_model_loader: - kv 9: qwen2.feed_forward_length u32 = 13824 llama_model_loader: - kv 10: qwen2.attention.head_count u32 = 40 llama_model_loader: - kv 11: qwen2.attention.head_count_kv u32 = 8 llama_model_loader: - kv 12: qwen2.rope.freq_base f32 = 1000000.000000 llama_model_loader: - kv 13: qwen2.attention.layer_norm_rms_epsilon f32 = 0.000001 llama_model_loader: - kv 14: general.file_type u32 = 17 llama_model_loader: - kv 15: tokenizer.ggml.model str = gpt2 llama_model_loader: - kv 16: tokenizer.ggml.pre str = qwen2 llama_model_loader: - kv 17: tokenizer.ggml.tokens arr[str,152064] = ["!", "\"", "#", "$", "%", "&", "'", ... llama_model_loader: - kv 18: tokenizer.ggml.token_type arr[i32,152064] = [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, ... llama_model_loader: - kv 19: tokenizer.ggml.merges arr[str,151387] = ["Ġ Ġ", "ĠĠ ĠĠ", "i n", "Ġ t",... llama_model_loader: - kv 20: tokenizer.ggml.eos_token_id u32 = 151645 llama_model_loader: - kv 21: tokenizer.ggml.padding_token_id u32 = 151643 llama_model_loader: - kv 22: tokenizer.ggml.bos_token_id u32 = 151643 llama_model_loader: - kv 23: tokenizer.ggml.add_bos_token bool = false llama_model_loader: - kv 24: tokenizer.chat_template str = {%- if tools %}\n {{- '<|im_start|>... llama_model_loader: - kv 25: general.quantization_version u32 = 2 llama_model_loader: - kv 26: split.no u16 = 0 llama_model_loader: - kv 27: split.count u16 = 0 llama_model_loader: - kv 28: split.tensors.count i32 = 579 llama_model_loader: - type f32: 241 tensors llama_model_loader: - type q5_K: 289 tensors llama_model_loader: - type q6_K: 49 tensors llm_load_vocab: special tokens cache size = 22 llm_load_vocab: token to piece cache size = 0.9310 MB llm_load_print_meta: format = GGUF V3 (latest) llm_load_print_meta: arch = qwen2 llm_load_print_meta: vocab type = BPE llm_load_print_meta: n_vocab = 152064 llm_load_print_meta: n_merges = 151387 llm_load_print_meta: vocab_only = 0 llm_load_print_meta: n_ctx_train = 131072 llm_load_print_meta: n_embd = 5120 llm_load_print_meta: n_layer = 48 llm_load_print_meta: n_head = 40 llm_load_print_meta: n_head_kv = 8 llm_load_print_meta: n_rot = 128 llm_load_print_meta: n_swa = 0 llm_load_print_meta: n_embd_head_k = 128 llm_load_print_meta: n_embd_head_v = 128 llm_load_print_meta: n_gqa = 5 llm_load_print_meta: n_embd_k_gqa = 1024 llm_load_print_meta: n_embd_v_gqa = 1024 llm_load_print_meta: f_norm_eps = 0.0e+00 llm_load_print_meta: f_norm_rms_eps = 1.0e-06 llm_load_print_meta: f_clamp_kqv = 0.0e+00 llm_load_print_meta: f_max_alibi_bias = 0.0e+00 llm_load_print_meta: f_logit_scale = 0.0e+00 llm_load_print_meta: n_ff = 13824 llm_load_print_meta: n_expert = 0 llm_load_print_meta: n_expert_used = 0 llm_load_print_meta: causal attn = 1 llm_load_print_meta: pooling type = 0 llm_load_print_meta: rope type = 2 llm_load_print_meta: rope scaling = linear llm_load_print_meta: freq_base_train = 1000000.0 llm_load_print_meta: freq_scale_train = 1 llm_load_print_meta: n_ctx_orig_yarn = 131072 llm_load_print_meta: rope_finetuned = unknown llm_load_print_meta: ssm_d_conv = 0 llm_load_print_meta: ssm_d_inner = 0 llm_load_print_meta: ssm_d_state = 0 llm_load_print_meta: ssm_dt_rank = 0 llm_load_print_meta: model type = ?B llm_load_print_meta: model ftype = Q5_K - Medium llm_load_print_meta: model params = 14.77 B llm_load_print_meta: model size = 9.78 GiB (5.69 BPW) llm_load_print_meta: general.name = qwen2.5-14b-instruct llm_load_print_meta: BOS token = 151643 '<|endoftext|>' llm_load_print_meta: EOS token = 151645 '<|im_end|>' llm_load_print_meta: PAD token = 151643 '<|endoftext|>' llm_load_print_meta: LF token = 148848 'ÄĬ' llm_load_print_meta: EOT token = 151645 '<|im_end|>' llm_load_print_meta: max token length = 256 ggml_cuda_init: GGML_CUDA_FORCE_MMQ: yes ggml_cuda_init: GGML_CUDA_FORCE_CUBLAS: no ggml_cuda_init: found 1 ROCm devices: Device 0: AMD Radeon RX 7800 XT, compute capability 11.0, VMM: no llm_load_tensors: ggml ctx size = 0.60 MiB llm_load_tensors: offloading 48 repeating layers to GPU llm_load_tensors: offloaded 48/49 layers to GPU llm_load_tensors: ROCm0 buffer size = 8896.78 MiB llm_load_tensors: CPU buffer size = 10016.35 MiB .......................................................................................... llama_new_context_with_model: n_ctx = 8192 llama_new_context_with_model: n_batch = 2048 llama_new_context_with_model: n_ubatch = 512 llama_new_context_with_model: flash_attn = 0 llama_new_context_with_model: freq_base = 1000000.0 llama_new_context_with_model: freq_scale = 1 llama_kv_cache_init: ROCm0 KV buffer size = 1536.00 MiB llama_new_context_with_model: KV self size = 1536.00 MiB, K (f16): 768.00 MiB, V (f16): 768.00 MiB llama_new_context_with_model: ROCm_Host output buffer size = 0.58 MiB llama_new_context_with_model: ROCm0 compute buffer size = 916.08 MiB llama_new_context_with_model: ROCm_Host compute buffer size = 26.01 MiB llama_new_context_with_model: graph nodes = 1686 llama_new_context_with_model: graph splits = 4 warming up the model with an empty run {"function":"initialize","level":"INFO","line":502,"msg":"initializing slots","n_slots":1,"tid":"11804224","timestamp":1730675655} {"function":"initialize","level":"INFO","line":514,"msg":"new slot","n_ctx_slot":8192,"slot_id":0,"tid":"11804224","timestamp":1730675655} {"function":"server_cli","level":"INFO","line":3118,"msg":"model loaded","tid":"11804224","timestamp":1730675655} llama server listening at http://127.0.0.1:8080 {"function":"server_cli","hostname":"127.0.0.1","level":"INFO","line":3256,"msg":"HTTP server listening","port":"8080","tid":"11804224","timestamp":1730675655,"url_prefix":""} {"function":"update_slots","level":"INFO","line":1672,"msg":"all slots are idle and system prompt is empty, clear the KV cache","tid":"11804224","timestamp":1730675655} $ sudo id -nG user2 user2 video $./llamafile-qwen2.sh {"function":"server_params_parse","level":"INFO","line":2724,"msg":"logging to file is disabled.","tid":"11804224","timestamp":1730675291} import_cuda_impl: initializing gpu module... link_cuda_dso: note: dynamically linking /home/user2/.llamafile/v/0.8.15/ggml-rocm.so ccache: error: Could not find compiler "cc" in PATH link_cuda_dso: warning: dlopen() isn't supported on this platform: failed to load library get_nvcc_path: note: nvcc not found on $PATH get_nvcc_path: note: $CUDA_PATH/bin/nvcc does not exist get_nvcc_path: note: /opt/cuda/bin/nvcc does not exist get_nvcc_path: note: /usr/local/cuda/bin/nvcc does not exist link_cuda_dso: note: dynamically linking /home/user2/.llamafile/v/0.8.15/ggml-cuda.so link_cuda_dso: warning: dlopen() isn't supported on this platform: failed to load library warning: --n-gpu-layers 999 was passed but no GPUs were found; falling back to CPU inference {"build":1500,"commit":"a30b324","function":"server_cli","level":"INFO","line":2898,"msg":"build info","tid":"11804224","timestamp":1730675291} {"function":"server_cli","level":"INFO","line":2905,"msg":"system info","n_threads":8,"n_threads_batch":8,"system_info":"AVX = 1 | AVX_VNNI = 0 | AVX2 = 1 | AVX512 = 0 | AVX512_VBMI = 0 | AVX512_VNNI = 0 | AVX512_BF16 = 0 | FMA = 1 | NEON = 0 | SVE = 0 | ARM_FMA = 0 | F16C = 1 | FP16_VA = 0 | WASM_SIMD = 0 | BLAS = 0 | SSE3 = 1 | SSSE3 = 1 | VSX = 0 | MATMUL_INT8 = 0 | LLAMAFILE = 1 | ","tid":"11804224","timestamp":1730675291,"total_threads":16} llama_model_loader: loaded meta data with 29 key-value pairs and 579 tensors from qwen2.5-14b-instruct-q5_k_m.gguf (version GGUF V3 (latest)) llama_model_loader: Dumping metadata keys/values. Note: KV overrides do not apply in this output. llama_model_loader: - kv 0: general.architecture str = qwen2 llama_model_loader: - kv 1: general.type str = model llama_model_loader: - kv 2: general.name str = qwen2.5-14b-instruct llama_model_loader: - kv 3: general.version str = v0.1 llama_model_loader: - kv 4: general.finetune str = qwen2.5-14b-instruct llama_model_loader: - kv 5: general.size_label str = 15B llama_model_loader: - kv 6: qwen2.block_count u32 = 48 llama_model_loader: - kv 7: qwen2.context_length u32 = 131072 llama_model_loader: - kv 8: qwen2.embedding_length u32 = 5120 llama_model_loader: - kv 9: qwen2.feed_forward_length u32 = 13824 llama_model_loader: - kv 10: qwen2.attention.head_count u32 = 40 llama_model_loader: - kv 11: qwen2.attention.head_count_kv u32 = 8 llama_model_loader: - kv 12: qwen2.rope.freq_base f32 = 1000000.000000 llama_model_loader: - kv 13: qwen2.attention.layer_norm_rms_epsilon f32 = 0.000001 llama_model_loader: - kv 14: general.file_type u32 = 17 llama_model_loader: - kv 15: tokenizer.ggml.model str = gpt2 llama_model_loader: - kv 16: tokenizer.ggml.pre str = qwen2 llama_model_loader: - kv 17: tokenizer.ggml.tokens arr[str,152064] = ["!", "\"", "#", "$", "%", "&", "'", ... llama_model_loader: - kv 18: tokenizer.ggml.token_type arr[i32,152064] = [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, ... llama_model_loader: - kv 19: tokenizer.ggml.merges arr[str,151387] = ["Ġ Ġ", "ĠĠ ĠĠ", "i n", "Ġ t",... llama_model_loader: - kv 20: tokenizer.ggml.eos_token_id u32 = 151645 llama_model_loader: - kv 21: tokenizer.ggml.padding_token_id u32 = 151643 llama_model_loader: - kv 22: tokenizer.ggml.bos_token_id u32 = 151643 llama_model_loader: - kv 23: tokenizer.ggml.add_bos_token bool = false llama_model_loader: - kv 24: tokenizer.chat_template str = {%- if tools %}\n {{- '<|im_start|>... llama_model_loader: - kv 25: general.quantization_version u32 = 2 llama_model_loader: - kv 26: split.no u16 = 0 llama_model_loader: - kv 27: split.count u16 = 0 llama_model_loader: - kv 28: split.tensors.count i32 = 579 llama_model_loader: - type f32: 241 tensors llama_model_loader: - type q5_K: 289 tensors llama_model_loader: - type q6_K: 49 tensors llm_load_vocab: special tokens cache size = 22 llm_load_vocab: token to piece cache size = 0.9310 MB llm_load_print_meta: format = GGUF V3 (latest) llm_load_print_meta: arch = qwen2 llm_load_print_meta: vocab type = BPE llm_load_print_meta: n_vocab = 152064 llm_load_print_meta: n_merges = 151387 llm_load_print_meta: vocab_only = 0 llm_load_print_meta: n_ctx_train = 131072 llm_load_print_meta: n_embd = 5120 llm_load_print_meta: n_layer = 48 llm_load_print_meta: n_head = 40 llm_load_print_meta: n_head_kv = 8 llm_load_print_meta: n_rot = 128 llm_load_print_meta: n_swa = 0 llm_load_print_meta: n_embd_head_k = 128 llm_load_print_meta: n_embd_head_v = 128 llm_load_print_meta: n_gqa = 5 llm_load_print_meta: n_embd_k_gqa = 1024 llm_load_print_meta: n_embd_v_gqa = 1024 llm_load_print_meta: f_norm_eps = 0.0e+00 llm_load_print_meta: f_norm_rms_eps = 1.0e-06 llm_load_print_meta: f_clamp_kqv = 0.0e+00 llm_load_print_meta: f_max_alibi_bias = 0.0e+00 llm_load_print_meta: f_logit_scale = 0.0e+00 llm_load_print_meta: n_ff = 13824 llm_load_print_meta: n_expert = 0 llm_load_print_meta: n_expert_used = 0 llm_load_print_meta: causal attn = 1 llm_load_print_meta: pooling type = 0 llm_load_print_meta: rope type = 2 llm_load_print_meta: rope scaling = linear llm_load_print_meta: freq_base_train = 1000000.0 llm_load_print_meta: freq_scale_train = 1 llm_load_print_meta: n_ctx_orig_yarn = 131072 llm_load_print_meta: rope_finetuned = unknown llm_load_print_meta: ssm_d_conv = 0 llm_load_print_meta: ssm_d_inner = 0 llm_load_print_meta: ssm_d_state = 0 llm_load_print_meta: ssm_dt_rank = 0 llm_load_print_meta: model type = ?B llm_load_print_meta: model ftype = Q5_K - Medium llm_load_print_meta: model params = 14.77 B llm_load_print_meta: model size = 9.78 GiB (5.69 BPW) llm_load_print_meta: general.name = qwen2.5-14b-instruct llm_load_print_meta: BOS token = 151643 '<|endoftext|>' llm_load_print_meta: EOS token = 151645 '<|im_end|>' llm_load_print_meta: PAD token = 151643 '<|endoftext|>' llm_load_print_meta: LF token = 148848 'ÄĬ' llm_load_print_meta: EOT token = 151645 '<|im_end|>' llm_load_print_meta: max token length = 256 llm_load_tensors: ggml ctx size = 0.30 MiB llm_load_tensors: CPU buffer size = 10016.35 MiB ........................................................................................... llama_new_context_with_model: n_ctx = 8192 llama_new_context_with_model: n_batch = 2048 llama_new_context_with_model: n_ubatch = 512 llama_new_context_with_model: flash_attn = 0 llama_new_context_with_model: freq_base = 1000000.0 llama_new_context_with_model: freq_scale = 1 llama_kv_cache_init: CPU KV buffer size = 1536.00 MiB llama_new_context_with_model: KV self size = 1536.00 MiB, K (f16): 768.00 MiB, V (f16): 768.00 MiB llama_new_context_with_model: CPU output buffer size = 0.58 MiB llama_new_context_with_model: CPU compute buffer size = 696.01 MiB llama_new_context_with_model: graph nodes = 1686 llama_new_context_with_model: graph splits = 1 warming up the model with an empty run {"function":"initialize","level":"INFO","line":502,"msg":"initializing slots","n_slots":1,"tid":"11804224","timestamp":1730675299} {"function":"initialize","level":"INFO","line":514,"msg":"new slot","n_ctx_slot":8192,"slot_id":0,"tid":"11804224","timestamp":1730675299} {"function":"server_cli","level":"INFO","line":3118,"msg":"model loaded","tid":"11804224","timestamp":1730675299} llama server listening at http://127.0.0.1:8080 In the sandboxing block! {"function":"server_cli","hostname":"127.0.0.1","level":"INFO","line":3256,"msg":"HTTP server listening","port":"8080","tid":"11804224","timestamp":1730675299,"url_prefix":""} {"function":"update_slots","level":"INFO","line":1672,"msg":"all slots are idle and system prompt is empty, clear the KV cache","tid":"11804224","timestamp":1730675299}The text was updated successfully, but these errors were encountered: