| <details> | |
| <summary>Logs</summary> | |
| <!-- Copy-pasted short logs go into the "console" area here --> | |
| ```console | |
| Running test-backend-ops with args: -o MUL_MAT | |
| Multithread enabled: false, pthreadPoolSize: 0 | |
| Loading "wllama.wasm" from "http://localhost:8080/compat/wasm/wllama.wasm" | |
| ggml_webgpu: adapter_info: vendor_id: 0 | vendor: apple | architecture: apple | device_id: 0 | name: apple | device_desc: apple | |
| Using async file read |
| #!/usr/bin/env python3 | |
| import http.client | |
| import json | |
| import time | |
| HOST = "127.0.0.1" | |
| PORT = 8080 | |
| URL = "/v1/chat/completions" | |
| payload = json.dumps({ |
| # NOTE: wifi configs are not included | |
| esphome: | |
| name: # you name it | |
| comment: # you name it | |
| esp32: | |
| variant: esp32 | |
| switch: |
| #!/bin/sh | |
| convert_and_upload() { | |
| local src_user=$1 | |
| local src_model=$2 | |
| local has_q4=$3 | |
| local base_name=$src_model | |
| target_model="$src_model-GGUF" | |
| target_repo="ggml-org/$target_model" |
| { | |
| "id": "00588a81-fd5a-448a-b1c6-5af879f7b2bf", | |
| "object": "chat.completion", | |
| "created": 1738697055, | |
| "model": "deepseek-reasoner", | |
| "choices": [ | |
| { | |
| "index": 0, | |
| "message": { | |
| "role": "assistant", |
Relax, I only have one Sunday to work on idea, literally my weekend project. So I tried Deepseek to see if it can help. Surprisingly, it works and it saves me another weekend...
Just chat.deepseek.com (cost = free) with prompts adapted from this gist.
| import gguf | |
| def decode_field(field: gguf.ReaderField): | |
| if field and field.types: | |
| main_type = field.types[0] | |
| if main_type == gguf.GGUFValueType.ARRAY: | |
| sub_type = field.types[-1] | |
| if sub_type == gguf.GGUFValueType.STRING: |
| <!DOCTYPE html> | |
| <html> | |
| <head> | |
| <meta name="viewport" content="width=device-width"> | |
| <title>Basic Snake HTML Game (Functional programming)</title> | |
| <meta charset="UTF-8"> | |
| <style> | |
| html, body { | |
| height: 100%; | |
| margin: 0; |
| import logging | |
| import argparse | |
| import contextlib | |
| import json | |
| import os | |
| import re | |
| import sys | |
| import numpy as np | |
| import math | |
| import torch |