import mlx.nn as nn @@ -109,25 +110,25 @@ def unpack_values(vals): def merge( config: str, mlx_path: str = "mlx_model", upload_repo: str = None, upload_repo: Optional[str] = None, ): with open(config, "r") as fid: merge_conf = yaml.safe_load(fid) print("[INFO] Lo...
import mlx.nn as nn import numpy as np import transformers from model import Model class Tokenizer: def __init__(self, model_name: str): self._tokenizer = transformers.AutoTokenizer.from_pretrained( model_name, legacy=False, model_max_length=512, ) self._decoder_start_id = 0 @property ...
Examples of use of the MLX90632 Product Specific Functions module. Example MLX90632 PSF module: 175 KB XLS Current revision: June 2020 Download
exam41.mlx 上传者:weixin_75262474时间:2022-12-16 JIEKEWORK1.mlx JIEKEWORK1.mlx 上传者:qq_56689662时间:2022-12-12 text02.mlx text02.mlx 上传者:m0_65202984时间:2023-01-08 文件类型转换器:将.mlx文件更改为.m文件,反之亦然-matlab开发
MLX RAG with GGUF Models Minimal, clean code implementation of RAG with mlx inferencing for GGUF models. Code: https://github.com/Jaykef/mlx-rag-gguf The code here builds on vegaluisjose's example, it has been optimized to support RAG-based inferencing for .gguf models. I am using ...
Chinese classrooms are arranged in a traditional way, with rows of desks and chairs facing a blackboard. Teachers usually stand on a platform when teaching. However, in the USA classrooms, seating arrangements are flexible (灵活的) depending on different class activities. For ...
help="Path to save the MLX model.", ) parser.add_argument( "--dtype", help="The data type to save the converted model.", type=str, default="float32", ) args = parser.parse_args() torch_path = get_model_path(args.hf_repo) @@ -96,10 +116,11 @@ def should_keep_weight(key...
mlx_path = Path(args.mlx_path) mlx_path.mkdir(parents=True, exist_ok=True) weights, config, tokenizer = convert(args) if args.quantize: print("[INFO] Quantizing") weights, config = quantize(weights, config, args) np.savez(str(mlx_path / "weights.npz"), **weights) tokenizer.save_pre...
The example as it was would not solve, it ends with a fairly obscure error: × failed to solve the conda requirements of 'mlx' 'osx-arm64' ╰─▶ Cannot solve the request because of: mlx >=0.5.0,<0.6.0 cannot be installed because there are no viable options: ...
SparkFun MLX90640 Arduino Example This repo contains Arduino sketches that show how to output temperature data from the MLX90640 sensor. We've also included a Processing app in Example 2 to read in the values over the serial port and visualize them. ...