Any-to-Any
MLX
Safetensors
gemma4
mlx-vlm
rlcd
multimodal
classification
parallel-inference
image-text-to-text
audio
video
4-bit precision
Instructions to use larkooo/gemma-e2b-rlcd with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use larkooo/gemma-e2b-rlcd with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] hf download larkooo/gemma-e2b-rlcd --local-dir gemma-e2b-rlcd
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
File size: 18,740 Bytes
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import json
import shutil
import subprocess
import time
import wave
from concurrent.futures import ThreadPoolExecutor
from pathlib import Path
from threading import Event
import pytest
from fastapi.testclient import TestClient
from PIL import Image
from gemma_rlcd.comparison import generation_task
from gemma_rlcd.core import TokenScores, parse_question
from gemma_rlcd.web import create_app, read_spec
class FakeBackend:
def __init__(self):
self.last_stats = {"branch_batch_sizes": [1], "prefix_prefills": 1}
self.calls = []
def symbols(self, count):
return tuple(chr(65 + i) for i in range(count))
def score_batch(self, state, requests):
self.calls.append((state, requests))
for path in (*state.images, *state.audio, *state.videos):
from pathlib import Path
assert Path(path).is_file()
return [
TokenScores(tuple(float(-i) for i in range(len(request.symbols))), 1.0, 123)
for request in requests
]
@pytest.fixture
def playground(tmp_path):
backend = FakeBackend()
app = create_app("test-model", tmp_path, backend_factory=lambda: backend)
with TestClient(app, base_url="http://localhost") as client:
for _ in range(100):
if client.get("/api/status").json()["ready"]:
break
time.sleep(0.01)
assert client.get("/api/status").json()["ready"]
yield client, backend, tmp_path
def request_spec():
return {
"text": "A cat",
"questions": {
"animal": {
"type": "choice",
"instructions": "Which animal?",
"criteria": {"cat": "A cat", "dog": "A dog"},
}
},
}
def test_large_demo_presets_are_served_and_all_decisions_reach_backend(playground):
client, backend, _ = playground
response = client.get("/static/demo-presets.json")
assert response.status_code == 200
presets = response.json()
for name, count in [
("support_matrix", 28),
("inbox_matrix", 32),
("ticket_flags", 32),
("catalog_choices", 4),
]:
spec = presets[name]
response = client.post("/api/run", data={"spec": json.dumps(spec)})
assert response.status_code == 200
assert len(backend.calls[-1][1]) == count
assert backend.calls[-1][0].text == spec["text"]
assert set(response.json()["answers"]) == set(spec["questions"])
def test_demo_presets_preserve_the_benchmark_prompt_after_editor_serialization(playground):
client, _, _ = playground
presets = client.get("/static/demo-presets.json").json()
cases = json.loads((Path(__file__).parents[1] / "examples/demo-workloads.json").read_text())
cases = {case["name"]: case for case in cases["cases"]}
for preset_name, case_name in [
("support_matrix", "support_28"),
("inbox_matrix", "inbox_32"),
("ticket_flags", "ticket_flags_32"),
("catalog_choices", "catalog_64"),
]:
preset = presets[preset_name]
# The editor materializes default yes/no meanings into an explicit map.
assert all("criteria" in question for question in preset["questions"].values())
_, actual = read_spec(json.dumps(preset))
expected = {
name: parse_question(raw) for name, raw in cases[case_name]["questions"].items()
}
assert preset["text"] == cases[case_name]["text"]
assert generation_task(actual) == generation_task(expected)
def test_web_text_and_shared_instructions_reach_one_model_call(playground):
client, backend, _ = playground
spec = request_spec()
spec["instructions"] = "Only use explicit evidence.\nRetain this entire instruction."
spec["questions"]["grade"] = {
"type": "score",
"instructions": "Grade the scene",
"criteria": ["None", "Some", "Many"],
}
spec["questions"]["present"] = {
"type": "independent",
"instructions": "Check presence",
"criteria": {"cat": "A cat", "dog": "A dog"},
}
response = client.post("/api/run", data={"spec": json.dumps(spec)})
assert response.status_code == 200
result = response.json()
assert result["answers"]["animal"]["choice"] == "cat"
assert result["answers"]["grade"]["type"] == "score"
assert set(result["answers"]["present"]["probabilities"]) == {"cat", "dog"}
assert len(backend.calls) == 1
assert len(backend.calls[0][1]) == 4
assert all(spec["instructions"] in request.instructions for request in backend.calls[0][1])
def test_uploaded_image_is_available_during_run_then_removed(playground):
client, backend, directory = playground
image = io.BytesIO()
Image.new("RGB", (8, 8), "red").save(image, format="PNG")
spec = request_spec()
spec["media"] = [{"kind": "image", "name": "../../outside.png"}]
response = client.post(
"/api/run",
data={"spec": json.dumps(spec)},
files={"media": ("../../outside.png", image.getvalue(), "image/png")},
)
assert response.status_code == 200
assert response.json()["media"][0]["width"] == 8
assert "attachment-0.png" in backend.calls[0][0].images[0]
assert list(directory.iterdir()) == []
def test_multi_picture_phone_jpeg_uses_full_resolution_primary_photo(playground):
client, backend, directory = playground
image = io.BytesIO()
Image.new("RGB", (32, 24), "red").save(
image, format="MPO", save_all=True, append_images=[Image.new("RGB", (16, 12), "gray")]
)
spec = request_spec()
spec["media"] = [{"kind": "image", "name": "phone.jpeg"}]
response = client.post(
"/api/run",
data={"spec": json.dumps(spec)},
files={"media": ("phone.jpeg", image.getvalue(), "image/jpeg")},
)
assert response.status_code == 200
metadata = response.json()["media"][0]
assert metadata["embedded_images"] == 2
assert metadata["used_frame"] == 0
assert (metadata["width"], metadata["height"]) == (32, 24)
assert backend.calls[0][0].images[0].endswith("-primary.png")
assert list(directory.iterdir()) == []
def test_choice_names_need_no_descriptions_and_grades_need_no_rubric(playground):
client, backend, _ = playground
spec = {
"text": "A Porsche car",
"questions": {
"brand": {
"type": "choice",
"instructions": "Which brand is this?",
"criteria": ["Porsche", "Mercedes"],
},
"quality": {"type": "score", "instructions": "How well maintained is it?", "levels": 5},
"tags": {
"type": "independent",
"instructions": "Which are present?",
"criteria": {"car": "", "person": " "},
},
},
}
response = client.post("/api/run", data={"spec": json.dumps(spec)})
assert response.status_code == 200
requests = backend.calls[0][1]
assert requests[0].criteria == (("Porsche", "Porsche"), ("Mercedes", "Mercedes"))
assert len(requests[1].criteria) == 5
assert "lowest" in requests[1].criteria[0][1]
assert response.json()["answers"]["quality"]["type"] == "score"
def test_malformed_media_is_rejected_and_cleaned(playground):
client, backend, directory = playground
spec = request_spec()
spec["media"] = [{"kind": "image", "name": "bad.png"}]
response = client.post(
"/api/run",
data={"spec": json.dumps(spec)},
files={"media": ("bad.png", b"not an image", "image/png")},
)
assert response.status_code == 400
assert "Could not read this image" in response.json()["error"]
assert backend.calls == []
assert list(directory.iterdir()) == []
def test_browser_cannot_submit_local_paths(playground):
client, backend, _ = playground
spec = request_spec()
spec["state"] = {"images": ["/private/file.png"]}
response = client.post("/api/run", data={"spec": json.dumps(spec)})
assert response.status_code == 400
assert backend.calls == []
def test_cross_origin_requests_are_rejected(playground):
client, backend, _ = playground
response = client.post(
"/api/run",
data={"spec": json.dumps(request_spec())},
headers={"Origin": "https://example.com"},
)
assert response.status_code == 403
assert backend.calls == []
def test_schema_editor_rejects_duplicates_and_accepts_ordered_grades(playground):
client, _, _ = playground
response = client.post("/api/validate", content='{"questions":{"a":{},"a":{}}}')
assert response.status_code == 400
assert "Duplicate JSON key" in response.json()["error"]
schema = {
"questions": {
"grade": {
"type": "score",
"instructions": "Grade this",
"criteria": ["Low\nwith details", "High"],
}
}
}
response = client.post("/api/validate", json=schema)
assert response.status_code == 200
assert response.json() == schema
def test_empty_state_is_rejected_without_inference(playground):
client, backend, _ = playground
spec = request_spec()
spec["text"] = ""
response = client.post("/api/run", data={"spec": json.dumps(spec)})
assert response.status_code == 400
assert backend.calls == []
def test_independent_expansion_is_bounded():
spec = request_spec()
spec["questions"] = {
"labels": {
"type": "independent",
"instructions": "Check each",
"criteria": {str(i): "An option" for i in range(129)},
}
}
with pytest.raises(ValueError, match="128 individual fields"):
read_spec(json.dumps(spec))
def test_static_application_is_served(playground):
client, _, _ = playground
assert "Gemma E2B RLCD" in client.get("/").text
response = client.get("/static/app.js")
assert response.status_code == 200
assert response.headers["x-content-type-options"] == "nosniff"
assert "Record speech" in response.text
def wav_bytes(seconds):
data = io.BytesIO()
with wave.open(data, "wb") as audio:
audio.setnchannels(1)
audio.setsampwidth(2)
audio.setframerate(16000)
audio.writeframes(b"\0\0" * int(16000 * seconds))
return data.getvalue()
@pytest.mark.skipif(
shutil.which("ffmpeg") is None, reason="ffmpeg is required for recording conversion"
)
def test_durationless_webm_recording_is_decoded_in_full(playground):
client, backend, directory = playground
recording = subprocess.run(
[
"ffmpeg",
"-v",
"error",
"-f",
"wav",
"-i",
"pipe:0",
"-c:a",
"libopus",
"-f",
"webm",
"pipe:1",
],
input=wav_bytes(0.2),
capture_output=True,
check=True,
).stdout
spec = request_spec()
spec["text"] = ""
spec["media"] = [{"kind": "video", "name": "recording.webm"}]
response = client.post(
"/api/run",
data={"spec": json.dumps(spec)},
files={"media": ("recording.webm", recording, "video/webm")},
)
assert response.status_code == 200
assert response.json()["media"][0]["kind"] == "audio"
assert response.json()["media"][0]["duration_seconds"] == pytest.approx(0.2, abs=0.03)
assert backend.calls[0][0].audio[0].endswith("-audio.wav")
assert not backend.calls[0][0].videos
assert list(directory.iterdir()) == []
@pytest.mark.skipif(
shutil.which("ffprobe") is None, reason="ffprobe is required for audio validation"
)
def test_long_audio_is_rejected_without_truncation(playground):
client, backend, directory = playground
spec = request_spec()
spec["media"] = [{"kind": "audio", "name": "long.wav"}]
response = client.post(
"/api/run",
data={"spec": json.dumps(spec)},
files={"media": ("long.wav", wav_bytes(31), "audio/wav")},
)
assert response.status_code == 400
assert "30 seconds" in response.json()["error"]
assert backend.calls == []
assert list(directory.iterdir()) == []
def test_concurrent_requests_do_not_overlap_on_model(playground):
client, backend, _ = playground
started, release = Event(), Event()
original = backend.score_batch
def slow_score(state, requests):
started.set()
assert release.wait(5)
return original(state, requests)
backend.score_batch = slow_score
with ThreadPoolExecutor(max_workers=1) as pool:
first = pool.submit(client.post, "/api/run", data={"spec": json.dumps(request_spec())})
try:
assert started.wait(5)
assert client.get("/api/status").json()["busy"]
second = client.post("/api/run", data={"spec": json.dumps(request_spec())})
assert second.status_code == 429
finally:
release.set()
assert first.result(timeout=5).status_code == 200
assert len(backend.calls) == 1
def test_comparison_runs_each_path_once_on_same_uploaded_input(playground, monkeypatch):
from pathlib import Path
from gemma_rlcd import comparison
client, backend, directory = playground
normal_calls = []
def generate(used_backend, state, questions):
assert used_backend is backend
assert Path(state.images[0]).is_file()
normal_calls.append((state, questions))
return {
"answers": {"animal": "dog"},
"raw_text": '{"animal":"dog"}',
"valid": True,
"error": None,
"inference_seconds": 0.2,
"output_tokens": 8,
}
monkeypatch.setattr(comparison, "generate_answers", generate)
spec = request_spec()
spec["media"] = [{"kind": "image", "name": "photo.png"}]
image = io.BytesIO()
Image.new("RGB", (8, 8), "red").save(image, format="PNG")
response = client.post(
"/api/compare",
data={"spec": json.dumps(spec)},
files={"media": ("photo.png", image.getvalue(), "image/png")},
)
assert response.status_code == 200
data = response.json()
details = data["comparison"]
assert len(backend.calls) == len(normal_calls) == 1
assert backend.calls[0][0] == normal_calls[0][0]
assert details["agreement"] == {"animal": False}
assert details["parallel_values"] == {"animal": "cat"}
assert details["seconds"]["normal"] == pytest.approx(0.2 + data["media_prepare_seconds"])
assert details["seconds"]["parallel"] == pytest.approx(
data["decision_seconds"] + data["media_prepare_seconds"]
)
assert details["normal_over_parallel"] > 0
assert data["answers"]["animal"]["choice"] == "cat"
assert list(directory.iterdir()) == []
def test_invalid_generated_answer_remains_visible_without_speedup_claim(playground, monkeypatch):
from gemma_rlcd import comparison
client, _, _ = playground
monkeypatch.setattr(
comparison,
"generate_answers",
lambda *args: {
"answers": None,
"raw_text": "not json",
"valid": False,
"error": "Invalid JSON",
"inference_seconds": 0.1,
"output_tokens": 2,
},
)
response = client.post("/api/compare", data={"spec": json.dumps(request_spec())})
assert response.status_code == 200
data = response.json()
assert data["comparison"]["normal_over_parallel"] is None
assert data["comparison"]["agreement"]["animal"] is None
assert data["comparison"]["normal"]["raw_text"] == "not json"
assert data["answers"]["animal"]["choice"] == "cat"
def test_visual_demo_has_128_distinct_checks_and_supports_each_size(playground):
client, backend, _ = playground
assert "One scene." in client.get("/demo").text
config = client.get("/static/visual-demo.json").json()
assert len(config["groups"]) == 4
for size in (32, 64, 128):
spec = {
"text": "scene",
"instructions": config["instructions"],
"questions": {
group["id"]: {
"type": "independent",
"instructions": "Which checks are visible?",
"criteria": {
check["id"]: check["description"] for check in group["checks"][: size // 4]
},
}
for group in config["groups"]
},
}
response = client.post("/api/run", data={"spec": json.dumps(spec)})
assert response.status_code == 200, response.text
assert len(backend.calls[-1][1]) == size
def test_streaming_comparison_orders_events_and_cleans_uploads(playground, monkeypatch):
from gemma_rlcd import comparison
client, _, directory = playground
def generate(backend, state, questions, on_token=None, on_progress=None):
on_token('{"animal":', 1)
on_token('"cat"}', 2)
return {
"answers": {"animal": "cat"},
"raw_text": '{"animal":"cat"}',
"valid": True,
"error": None,
"inference_seconds": 1,
"output_tokens": 2,
}
monkeypatch.setattr(comparison, "generate_answers", generate)
response = client.post("/api/compare-stream", data={"spec": json.dumps(request_spec())})
assert response.status_code == 200
assert response.headers["content-type"].startswith("application/x-ndjson")
events = [json.loads(line) for line in response.text.splitlines()]
assert [event["type"] for event in events[:2]] == ["accepted", "race_start"]
assert events[-1]["type"] == "complete"
assert [event["type"] for event in events if event.get("method") == "parallel"] == [
"phase_start",
"answer",
"phase_complete",
]
assert [event["type"] for event in events if event.get("method") == "normal"] == [
"phase_start",
"token",
"token",
"phase_complete",
]
assert next(event for event in events if event["type"] == "answer")["value"] == "cat"
assert events[-1]["result"]["comparison"]["normal"]["valid"]
assert events[-1]["result"]["comparison"]["methodology"]["execution"] == "concurrent_shared_gpu"
assert not client.get("/api/status").json()["busy"]
assert list(directory.iterdir()) == []
def test_stream_validation_failure_releases_gpu_lock(playground):
client, _, directory = playground
response = client.post("/api/compare-stream", data={"spec": "{}"})
assert response.status_code == 400
assert not client.get("/api/status").json()["busy"]
assert list(directory.iterdir()) == []
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