llama_load_model_from_file: failed to load model llama_init_from_gpt_params: error: failed to load model 'llama-2-7b-chat.ggmlv3.q5_1.bin' {"timestamp":1693292489,"level":"ERROR","function":"loadModel","line":263,"message":"unable to load model","model":"llama-2-7b-chat.ggm...
Adreno Vulkan Driver) | uma: 1 | fp16: 1 | warp size: 64 llama_model_load: error loading model: vk::Device::createComputePipeline: ErrorUnknown llama_load_model_from_file: failed to load model main: error: unable to load model 回退到 tag: b3085 版本可以使用OpenCL,README中给了...
When I execute this command: make -j && ./main -m ./models/7B/ggml-model-q4_0.bin -p "Building a website can be done in 10 simple steps:" -n 512 An error was reported: llama_init_from_file: failed to load model main: error: failed to loa...
LOG_TEE("%s : failed to eval\n", __func__);return1; } llama_token decoder_start_token_id=llama_model_decoder_start_token(model);if(decoder_start_token_id == -1) { decoder_start_token_id=llama_token_bos(model); } embd_inp.clear(); embd_inp.push_back(decoder_start_token_id);...
llama_model_params model_params = llama_model_default_params(); //model_params.n_gpu_layers= 99; // offload all layers to the GPU llama_model* model = llama_load_model_from_file(model_file_path.c_str(), model_params); if (model == NULL) ...
from_pretrained(f"models/tokenizers/{name}") except OSError as e: logger.error(f"Failed to load tokenizer for model {name}. Error: {e}") continue # Skip this model and continue with the next one in the loop with open(f"models/ggml-vocab-{name}.gguf.inp", "w", encoding=...
tests/test-json-schema-to-grammar \ tests/test-llama-grammar \ tests/test-model-load-cancel \ tests/test-opt \ tests/test-quantize-fns \ tests/test-quantize-perf \ tests/test-rope \ tests/test-sampling \ tests/test-tokenizer-0 \ tests/test-tokenizer-1-bpe \ tests/test-...
main: build = 722 (049aa16) main: seed = 1 ggml_init_cublas: found 1 CUDA devices: Device 0: NVIDIA GeForce RTX 3090 llama.cpp: loading model from models/7B/ggml-model-q4_0.bin llama_model_load_internal: format = ggjt v3 (latest) llama_model_load_internal: n_vocab = 32000 lla...
if(llama_model_has_encoder(model)) {intenc_input_size =embd_inp.size(); llama_token* enc_input_buf =embd_inp.data();if(llama_encode(ctx, llama_batch_get_one(enc_input_buf, enc_input_size,0,0))) { LOG_TEE("%s : failed to eval\n", __func__);return1; ...
"title": "Failed to load model", "cause": "llama.cpp error: 'error loading model architecture: unknown model architecture: 'deepseek2''", "errorData": { "n_ctx": 8192, "n_batch": 512, "n_gpu_layers": 31 }, "data": { ...