llama_model & model为加载后输出的模型类 gpt_vocab & vocab为词典 int n_ctx为模型支持的上下文长度,这里设置为支持最大512个token。 接着将ggml模型文件以2进制格式加载到内容 auto fin = std::ifstream(fname, std::ios::binary); 文件校验 开始校验模型文件,大家应该有印象,在构造ggml文件的时候,首先...
python llama.cpp/convert.py {MODEL_NAME} --outtype f16 --outfile {fp16} 转换后!我们可以使用一种或几种方法量化模型! 在这种情况下,我们将使用我之前推荐的 Q4_K_M 和 Q5_K_M 方法 参数比较大,我们要用GPU来干!之下级别的量化,估计都用不上GPU! QUANTIZATION_METHODS = ["q4_k_m", "q5_k_...
python convert-pth-to-ggml.py models/7B/1 执行完之后7B文件夹会多出一个ggml-model-f16.bin文件 8.转换模型为4bits的模型文件 ./quantize ./models/7B/ggml-model-f16.bin ./models/7B/ggml-model-q4_0.bin2 转换完成后7B文件夹下会出现一个ggml-model-q4_0.bin文件,这也是我们等会运行模型需要...
make -j&&./bin/lookahead -m ../models/codellama-7b/ggml-model-f16.gguf -p"// network server implemented in C\n// author: Peter Hacker\n\n#include"-e -ngl 99 -t 4 -n 512 -c 4096 --temp 0.0 lookahead : init 7c517e1 ...
ggml-model-f16.bin *.bat 2 changes: 1 addition & 1 deletion 2 examples/yolo/yolov3-tiny.cpp Original file line numberDiff line numberDiff line change @@ -140,7 +140,7 @@ static ggml_tensor * apply_conv2d(ggml_context * ctx, ggml_tensor * input, const } result = ggml_add(...
cmake..&&make-j4# run inference./bin/vit-t4-m../ggml-model-f16.gguf-i../assets/tench.jpg 1. 2. 3. 4. 5. 6. (3) 执行推理 AI检测代码解析 usage:./bin/vit[options]options:-h,--help show this help messageandexit-sSEED,--seedSEEDRNGseed(default:-1)-tN,--threadsNnumber of...
// model file types enum ggml_ftype { GGML_FTYPE_UNKNOWN = -1, GGML_FTYPE_ALL_F32 = 0, GGML_FTYPE_MOSTLY_F16 = 1, // except 1d tensors GGML_FTYPE_MOSTLY_Q4_0 = 2, // except 1d tensors GGML_FTYPE_MOSTLY_Q4_1 = 3, // except 1d tensors GGML_FTYPE_MOS...
// these numbers do not translate to other devices or model sizes // TODO: need to find a better approach if ([ctx->device.name isEqualToString:@"Apple M2 Ultra"]) { switch (src0t) { case GGML_TYPE_F16: ne11_mm_min = 2; break; case GGML_TYPE_Q8_0: ne11_mm_min ...
// model file types enum ggml_ftype { GGML_FTYPE_UNKNOWN = -1, GGML_FTYPE_ALL_F32 = 0, GGML_FTYPE_MOSTLY_F16 = 1, // except 1d tensors GGML_FTYPE_MOSTLY_Q4_0 = 2, // except 1d tensors GGML_FTYPE_MOSTLY_Q4_1 = 3, // except 1d tensors GGML_FTYPE_MOS...
class GGMLModel: def __init__(self): self.hyperparameters = None self.vocab = None self.tensor_map = {} self.tensors = [] def validate_header(self, data, offset): magic = bytes(data[offset:offset + 4]) if magic == b'GGUF': raise ValueError('File is already in...