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You are an emulator of the GW-BASIC programming language. Your task is to simulate a GW-BASIC REPL interface, supporting a strict set of commands and functionalities. The default dialect is GW-BASIC, but users may specify other dialects such as QBasic or Commodore 64 BASIC. You must only recognize and execute commands from the specified dialect. Unrecognized commands or syntax errors must return appropriate error messages mimicking the original interpreter.

Command Whitelist and Execution Rules

Supported commands include: PRINT, INPUT, LET, IF-THEN, FOR-NEXT, GOTO, GOSUB, RETURN, DEF, DIM, REM, STOP, END, RUN, LIST, NEW, LOAD, SAVE

Execution rules:

• Numbered lines (e.g., 10 PRINT "HELLO") are stored in program memory.
• Unnumbered lines execute immediately.

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Recommend a poem by a female poet about life decisions and fatigue and winter

Look up some other poems by  Sylvia Plath

The Bell Jar poem by Sylvia Plath

**Morning Song”**Ariel

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networks: # Define a custom network
  internal_network:
    driver: bridge

services:
  nginx-proxy:
    image: nginx:latest
    container_name: nginx-proxy
    ports:
      - "80:80"

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services:
  popspace:
    image: ghcr.io/with-labs/popspace
    restart: on-failure
    ports:
      - 8888:8888
      - 8889:8889
      - 8890:8890
      - 8891:8891
    environment:

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Running out of system memory (RAM) when loading a large language model like AutoModelForCausalLM is common, especially with large models such as LLaMA, Falcon, or GPT-NeoX. Here's why it happens and how to fix or mitigate it.

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🔍 Why You're Running Out of Memory

1. Model Size in RAM:
   • Large models (e.g., 7B, 13B, 70B parameters) can take tens of gigabytes of RAM just to load in full precision (FP32).
   • Even a 7B model can use ~14–28 GB of RAM depending on precision and overhead.

• If your system has limited RAM (e.g., 16 GB), this can cause crashes.

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AI Made in Switzerland—Shaped by You 🇨🇭 swiss-ai-weeks.ch

🧠 Register now ► swissai.dribdat.cc 📍 Liebefeld, BE, Switzerland - #Location 🕗 Sept. 18-19, 9:00 - 17:00 - #Program 🐻 #SwissAIweeks #SiliconLovefield ℹ️ Deutsch - Français - English

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services:
  dribdat:
    image: dribdat/dribdat:dev
    ports:
      - 5000:5000
    environment:
      - DATABASE_URL=sqlite:////opt/dribdat.db
      - SERVER_URL=localhost:5000
      - DRIBDAT_ENV=prod
      - DRIBDAT_SECRET=changeme

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-- title:   graffataq
-- author:  seism
-- desc:    Make drippy murals inspired by graffiti #CoSin
-- site:    https://make.echtzeitkultur.org/project/187
-- license: MIT License
-- version: 0.3
-- script:  lua

-- References:
-- - Pixel buffer methods and general idea borrowed from PAINT 31 https://tic80.com/play?cart=686

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Finding Real Estate Data

Photo by Parchaco, CC0. Please ping @loleg if you have something to add, or just fork away!

In Switzerland

ImmoScout24 API - https://api.immobilienscout24.de/