base on An unnecessarily tiny implementation of GPT-2 in NumPy. # PicoGPT Accompanying blog post: [GPT in 60 Lines of Numpy](https://jaykmody.com/blog/gpt-from-scratch/) --- You've seen [openai/gpt-2](https://github.com/openai/gpt-2). You've seen [karpathy/minGPT](https://github.com/karpathy/mingpt). You've even seen [karpathy/nanoGPT](https://github.com/karpathy/nanogpt)! But have you seen [picoGPT](https://github.com/jaymody/picoGPT)??!? `picoGPT` is an unnecessarily tiny and minimal implementation of [GPT-2](https://d4mucfpksywv.cloudfront.net/better-language-models/language_models_are_unsupervised_multitask_learners.pdf) in plain [NumPy](https://numpy.org). The entire forward pass code is [40 lines of code](https://github.com/jaymody/picoGPT/blob/main/gpt2_pico.py#L3-L41). picoGPT features: * Fast? ❌ Nah, picoGPT is megaSLOW 🐌 * Training code? ❌ Error, 4️⃣0️⃣4️⃣ not found * Batch inference? ❌ picoGPT is civilized, single file line, one at a time only * top-p sampling? ❌ top-k? ❌ temperature? ❌ categorical sampling?! ❌ greedy? ✅ * Readable? `gpt2.py` ✅ `gpt2_pico.py` ❌ * Smol??? ✅✅✅✅✅✅ YESS!!! TEENIE TINY in fact 🤏 A quick breakdown of each of the files: * `encoder.py` contains the code for OpenAI's BPE Tokenizer, taken straight from their [gpt-2 repo](https://github.com/openai/gpt-2/blob/master/src/encoder.py). * `utils.py` contains the code to download and load the GPT-2 model weights, tokenizer, and hyper-parameters. * `gpt2.py` contains the actual GPT model and generation code which we can run as a python script. * `gpt2_pico.py` is the same as `gpt2.py`, but in even fewer lines of code. Why? Because why not 😎👍. #### Dependencies ```bash pip install -r requirements.txt ``` Tested on `Python 3.9.10`. #### Usage ```bash python gpt2.py "Alan Turing theorized that computers would one day become" ``` Which generates ``` the most powerful machines on the planet. The computer is a machine that can perform complex calculations, and it can perform these calculations in a way that is very similar to the human brain. ``` You can also control the number of tokens to generate, the model size (one of `["124M", "355M", "774M", "1558M"]`), and the directory to save the models: ```bash python gpt2.py \ "Alan Turing theorized that computers would one day become" \ --n_tokens_to_generate 40 \ --model_size "124M" \ --models_dir "models" ``` ", Assign "at most 3 tags" to the expected json: {"id":"8123","tags":[]} "only from the tags list I provide: [{"id":77,"name":"3d"},{"id":89,"name":"agent"},{"id":17,"name":"ai"},{"id":54,"name":"algorithm"},{"id":24,"name":"api"},{"id":44,"name":"authentication"},{"id":3,"name":"aws"},{"id":27,"name":"backend"},{"id":60,"name":"benchmark"},{"id":72,"name":"best-practices"},{"id":39,"name":"bitcoin"},{"id":37,"name":"blockchain"},{"id":1,"name":"blog"},{"id":45,"name":"bundler"},{"id":58,"name":"cache"},{"id":21,"name":"chat"},{"id":49,"name":"cicd"},{"id":4,"name":"cli"},{"id":64,"name":"cloud-native"},{"id":48,"name":"cms"},{"id":61,"name":"compiler"},{"id":68,"name":"containerization"},{"id":92,"name":"crm"},{"id":34,"name":"data"},{"id":47,"name":"database"},{"id":8,"name":"declarative-gui "},{"id":9,"name":"deploy-tool"},{"id":53,"name":"desktop-app"},{"id":6,"name":"dev-exp-lib"},{"id":59,"name":"dev-tool"},{"id":13,"name":"ecommerce"},{"id":26,"name":"editor"},{"id":66,"name":"emulator"},{"id":62,"name":"filesystem"},{"id":80,"name":"finance"},{"id":15,"name":"firmware"},{"id":73,"name":"for-fun"},{"id":2,"name":"framework"},{"id":11,"name":"frontend"},{"id":22,"name":"game"},{"id":81,"name":"game-engine "},{"id":23,"name":"graphql"},{"id":84,"name":"gui"},{"id":91,"name":"http"},{"id":5,"name":"http-client"},{"id":51,"name":"iac"},{"id":30,"name":"ide"},{"id":78,"name":"iot"},{"id":40,"name":"json"},{"id":83,"name":"julian"},{"id":38,"name":"k8s"},{"id":31,"name":"language"},{"id":10,"name":"learning-resource"},{"id":33,"name":"lib"},{"id":41,"name":"linter"},{"id":28,"name":"lms"},{"id":16,"name":"logging"},{"id":76,"name":"low-code"},{"id":90,"name":"message-queue"},{"id":42,"name":"mobile-app"},{"id":18,"name":"monitoring"},{"id":36,"name":"networking"},{"id":7,"name":"node-version"},{"id":55,"name":"nosql"},{"id":57,"name":"observability"},{"id":46,"name":"orm"},{"id":52,"name":"os"},{"id":14,"name":"parser"},{"id":74,"name":"react"},{"id":82,"name":"real-time"},{"id":56,"name":"robot"},{"id":65,"name":"runtime"},{"id":32,"name":"sdk"},{"id":71,"name":"search"},{"id":63,"name":"secrets"},{"id":25,"name":"security"},{"id":85,"name":"server"},{"id":86,"name":"serverless"},{"id":70,"name":"storage"},{"id":75,"name":"system-design"},{"id":79,"name":"terminal"},{"id":29,"name":"testing"},{"id":12,"name":"ui"},{"id":50,"name":"ux"},{"id":88,"name":"video"},{"id":20,"name":"web-app"},{"id":35,"name":"web-server"},{"id":43,"name":"webassembly"},{"id":69,"name":"workflow"},{"id":87,"name":"yaml"}]" returns me the "expected json"