Files
Eric BuehlerandGitHub 4cd824d9e4 Add full Gemma 3n support! (#1519)
* Add initial

* Loading for text model

* Add ple embeddings

* Add altup, laurel block

* Update rmsnorm

* Add mlp

* Update attn norm application

* Currently no kv shared

* Wire it up

* It runs

* Fix bf16

* Fix scaled embd

* Fixes for mean

* tmp

* Attn confirmed

* Fix target_magnitude

* Add shared kv

* Ok it works

* Remove npy

* Fix streaming

* Remove warnings

* Remove paged attn

* Refactor rope

* Add immediate isq

* Add vision & mproj

* Update image processor

* Vision merge runs, not correct

* Remove

* Add mobilenet v5

* Add multimodal vision embedding

* Fix load

* runs

* Fix gamma

* Works but just not vision tower

* It works!!

* Tweak

* Fix warnings

* Move vision tower

* Fix warn

* Update cache manager things

* Refactor

* Add audio model, it loads

* Add audio processing

* It runs at least

* tmp

* A bit better

* Audio works!!!!

* Fused attn in vision

* Clippy

* Update audio runner

* Optimized audio model

* Remove unused things

* Fix inputs processor bug

* Remove comments

* Clippy

* Small optimizations

* Format

* Correctly register modalities

* Add docs

* Update readme

* Runs there

* Fixed padding from https://github.com/Blaizzy/mlx-vlm/pull/410

* Add better checks

* Fix sdpa n_kv_groups

* Vision encoder works!

* Rotate image

* Clippy

* Fix cuda loading

* Updated device mapper

* Fix overflow

* Fix dtype errors

* Refactor image/audio embeddings

* Fix metal

* Fix dtype mismatch

* Audio processing fixes

* Audio processing fixes

* Works

* Audio is good

* Fix boi/eoi too

* Embed the chat templates

* Better embedding accuracy in non f32

* More f32

* Support bf16 on metal

* Add more ISQ

* Fixed device map

* Clippy

* Gemma3n no paged attn

* Fix saturating sub

* Faster rmsnorm

* Use sdpa for vision model

* Fix ple bug

* Fix name

* Fix multiaudio

* Add matformer config loading

* Add docs

* Add support for matformer in auto device mapper

* Update docs

* Typos

* Tweak

* Tweak

* Fix multidevice

* Fix gemma3n text model auto device map

* Fix dims3

* Fix auto devic emap vision

* Non-metal keeps PLE on cpu

* Complete merge

* Vision dtype f16 -> f32

* Fix metal nm device

* Fix uqff

* Typos

* Reference uqff

* Fix tests
2025-07-09 06:59:51 -04:00

37 lines
1.1 KiB
Rust

use anyhow::Result;
use mistralrs::{IsqType, TextMessageRole, VisionMessages, VisionModelBuilder};
#[tokio::main]
async fn main() -> Result<()> {
let model = VisionModelBuilder::new("google/gemma-3n-E4B-it")
.with_isq(IsqType::Q4K)
.with_logging()
.build()
.await?;
let bytes = match reqwest::blocking::get(
"https://cdn.britannica.com/45/5645-050-B9EC0205/head-treasure-flower-disk-flowers-inflorescence-ray.jpg",
) {
Ok(http_resp) => http_resp.bytes()?.to_vec(),
Err(e) => anyhow::bail!(e),
};
let image = image::load_from_memory(&bytes)?;
let messages = VisionMessages::new().add_image_message(
TextMessageRole::User,
"What is depicted here? Please describe the scene in detail.",
vec![image],
&model,
)?;
let response = model.send_chat_request(messages).await?;
println!("{}", response.choices[0].message.content.as_ref().unwrap());
dbg!(
response.usage.avg_prompt_tok_per_sec,
response.usage.avg_compl_tok_per_sec
);
Ok(())
}