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drbh cef0553d59
Outlines guided generation (#1539) 
This WIP PR starts to add grammar support via outlines, currently this
PR supports very simple regex grammars and does not optimize for
precompiling or caching grammar fsm's.

todo:
- [X] add simple outlines guidance to `NextTokenChooser`
- [X] update protos for grammar
- [X] update generation params API
- [X] constrain simple grammar
- [ ] support parsing more complex grammar into fsm
- [ ] support all outline support grammar types
- [ ] explore optimizations to avoid recompiling grammars

guided request
```bash
curl -s 'http://localhost:3000/generate' \
--header 'Content-Type: application/json' \
--data-raw '{
    "inputs": "make an email for david: \n",
    "parameters": {
        "max_new_tokens": 6,
        "grammar": "[\\w-]+@([\\w-]+\\.)+[\\w-]+"
    }
}' | jq
```
response
```json
{
  "generated_text": "david@example.com"
}
```

unguided request
```bash
curl -s 'http://localhost:3000/generate' \
--header 'Content-Type: application/json' \
--data '{
    "inputs": "make an email for david: \n",
    "parameters": {
        "max_new_tokens": 6
    }
}' | jq
```
response
```json
{
  "generated_text": "    email = 'david"
}
```
 		2024-02-15 10:28:10 +01:00
..
src Outlines guided generation (#1539) 2024-02-15 10:28:10 +01:00
Cargo.toml Preping 1.1.0 (#1066) 2023-09-27 10:40:18 +02:00
README.md feat(benchmark): tui based benchmarking tool (#149) 2023-03-30 15:26:27 +02:00

README.md

Text Generation Inference benchmarking tool

benchmark

A lightweight benchmarking tool based inspired by oha and powered by tui.

Install

make install-benchmark

Run

First, start text-generation-inference:

text-generation-launcher --model-id bigscience/bloom-560m

Then run the benchmarking tool:

text-generation-benchmark --tokenizer-name bigscience/bloom-560m