Lua bindings for gemma.cpp.
Before starting, you should have installed:
1st step: Clone the source code from GitHub: git clone https://github.com/ufownl/lua-cgemma.git
2nd step: Build and install:
To build and install using the default settings, just enter the repository's directory and run the following commands:
mkdir build
cd build
cmake .. && make
sudo make install
3rd step: See here to learn how to obtain model weights and tokenizer.
-- Create a Gemma instance
local gemma, err = require("cgemma").new({
tokenizer = "/path/to/tokenizer.spm",
model = "2b-it",
weights = "/path/to/2b-it-sfp.sbs"
})
if not gemma then
print("Opoos! ", err)
return
end
-- Create a chat session
local session, seed = gemma:session()
if not session then
print("Opoos! ", seed)
return
end
print("Random seed of session: ", seed)
while true do
print("New conversation started")
-- Multi-turn chat
while session:ready() do
io.write("> ")
local text = io.read()
if not text then
print("End of file")
return
end
local reply, err = session(text)
if not reply then
print("Opoos! ", err)
return
end
print("reply: ", reply)
end
print("Exceed the maximum number of tokens")
session:reset()
end
syntax: cgemma.info()
Show information of cgemma module.
syntax: <cgemma.instance>inst, <string>err = cgemma.new(<table>options)
Create a Gemma instance.
A successful call returns a Gemma instance. Otherwise, it returns nil
and a string describing the error.
Available options:
{
tokenizer = "/path/to/tokenizer.spm", -- Path of tokenizer model file. (required)
model = "2b-it", -- Model type:
-- 2b-it (Gemma 2B parameters, instruction-tuned),
-- 2b-pt (Gemma 2B parameters, pretrained),
-- 7b-it (Gemma 7B parameters, instruction-tuned),
-- 7b-pt (Gemma 7B parameters, pretrained),
-- 9b-it (Gemma2 9B parameters, instruction-tuned),
-- 9b-pt (Gemma2 9B parameters, pretrained),
-- 27b-it (Gemma2 27B parameters, instruction-tuned),
-- 27b-pt (Gemma2 27B parameters, pretrained),
-- gr2b-it (Griffin 2B parameters, instruction-tuned),
-- gr2b-pt (Griffin 2B parameters, pretrained),
-- gemma2-2b-it (Gemma2 2.6B parameters, instruction-tuned),
-- gemma2-2b-pt (Gemma2 2.6B parameters, pretrained).
-- (required)
weights = "/path/to/2b-it-sfp.sbs", -- Path of model weights file. (required)
weight_type = "sfp", -- Weight type:
-- sfp (8-bit FP, default)
-- f32 (float)
-- bf16 (bfloat16)
scheduler = sched_inst, -- Instance of scheduler, if not provided a default
-- scheduler will be attached.
disabled_words = {...}, -- Words you don't want to generate.
}
syntax: <cgemma.scheduler>sched, <string>err = cgemma.scheduler([<number>num_threads])
Create a scheduler instance.
A successful call returns a scheduler instance. Otherwise, it returns nil
and a string describing the error.
The only parameter num_threads
indicates the number of threads in the internal thread pool. If not provided or num_threads <= 0
, it will create a default scheduler with the number of threads depending on the concurrent threads supported by the implementation.
syntax: sched:pin_threads()
Pin the scheduler's threads to logical processors.
syntax: <table>tokens = inst:disabled_tokens()
Query the disabled tokens of a Gemma instance.
syntax: <cgemma.session>sess, <number or string>seed = inst:session([<table>options])
Create a chat session.
A successful call returns the session and its random seed. Otherwise, it returns nil
and a string describing the error.
Available options and default values:
{
max_tokens = 3072, -- Maximum number of tokens in prompt + generation.
max_generated_tokens = 2048, -- Maximum number of tokens to generate.
prefill_tbatch = 64, -- Prefill: max tokens per batch.
decode_qbatch = 16, -- Decode: max queries per batch.
temperature = 1.0, -- Temperature for top-K.
seed = 42, -- Random seed. (default is random setting)
}
syntax: <boolean>ok = sess:ready()
Check if the session is ready to chat.
syntax: sess:reset()
Reset the session to start a new conversation.
syntax: <string>data, <string>err = sess:dumps()
Dump the current state of the session to a Lua string.
A successful call returns a Lua string that stores state data (binary) of the session. Otherwise, it returns nil
and a string describing the error.
syntax: <boolean>ok, <string>err = sess:loads(<string>data)
Load the state data from the given Lua string to restore a previous session.
A successful call returns true
. Otherwise, it returns false
and a string describing the error.
syntax: <boolean>ok, <string>err = sess:dump(<string>path)
Dump the current state of the session to a specific file.
A successful call returns true
. Otherwise, it returns false
and a string describing the error.
syntax: <boolean>ok, <string>err = sess:load(<string>path)
Load the state data from the given file to restore a previous session.
A successful call returns true
. Otherwise, it returns false
and a string describing the error.
syntax: <table>statistics = sess:stats()
Get statistics for the current session.
Example of statistics:
{
prefill_tokens_per_second = 34.950446398036,
generate_tokens_per_second = 9.0089134969039,
time_to_first_token = 0.8253711364232,
tokens_generated = 85
}
syntax: <string or boolean>reply, <string>err = sess(<string>text[, <function>stream])
Generate reply.
A successful call returns the content of the reply (without a stream function) or true
(with a stream function). Otherwise, it returns nil
and a string describing the error.
The stream function is defined as follows:
function stream(token, pos, prompt_size)
if pos < prompt_size then
-- Gemma is processing the prompt
io.write(pos == 0 and "reading and thinking ." or ".")
elseif token then
-- Stream the token text output by Gemma here
if pos == prompt_size then
io.write("\nreply: ")
end
io.write(token)
else
-- Gemma's output reaches the end
print()
end
io.flush()
-- return `true` indicates success; return `false` indicates failure and terminates the generation
return true
end
BSD-3-Clause license. See LICENSE for details.