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
Download reports/initial-smoke.json from larkooo/gemma-e2b-rlcd: direct link, hf CLI and curl.
- Browser
- Download file 13.2 kB
-
https://huggingface.co/larkooo/gemma-e2b-rlcd/resolve/main/reports/initial-smoke.json
- Command line
-
hf download hf://larkooo/gemma-e2b-rlcd/reports/initial-smoke.json
-
curl -L -o initial-smoke.json https://huggingface.co/larkooo/gemma-e2b-rlcd/resolve/main/reports/initial-smoke.json
13.2 kB
| { | |
| "status": "integration_smoke_only", | |
| "trained": false, | |
| "calibration_validated": false, | |
| "model": "models/gemma-4-e2b-it-4bit", | |
| "load_seconds": 3.297944833000656, | |
| "results": [ | |
| { | |
| "modality": "text", | |
| "question": "category", | |
| "expected": "cat", | |
| "answer": { | |
| "calibration_status": "unvalidated", | |
| "temperature": 1.0, | |
| "probability_source": "restricted_next_token_logits", | |
| "type": "choice", | |
| "choice": "cat", | |
| "probabilities": { | |
| "cat": 0.9999999980978347, | |
| "dog": 1.6052280521322024e-09, | |
| "other": 2.9693733225389006e-10 | |
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| "selected_probability": 0.9999999980978347, | |
| "confidence": 0.9999999627511029, | |
| "confidence_definition": "one_minus_normalized_entropy", | |
| "diagnostics": { | |
| "logits": { | |
| "cat": 10.8125, | |
| "dog": -9.4375, | |
| "other": -11.125 | |
| }, | |
| "allowed_token_mass": 0.9996110200881958, | |
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| } | |
| }, | |
| "actual": "cat", | |
| "correct": true, | |
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| "modality": "text", | |
| "question": "dog", | |
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| "answer": { | |
| "calibration_status": "unvalidated", | |
| "temperature": 1.0, | |
| "probability_source": "restricted_next_token_logits", | |
| "type": "noul", | |
| "noul": 2.0176444634455703e-08, | |
| "diagnostics": { | |
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| "false": 12.8125 | |
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| } | |
| }, | |
| "actual": false, | |
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| "type": "score", | |
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| "2": "Two or more kinds of animals are present" | |
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| "diagnostics": { | |
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| "actual": "red", | |
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| "modality": "image", | |
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| "temperature": 1.0, | |
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| "type": "noul", | |
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| "legend": { | |
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| "2": "Red covers most or all of the image" | |
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| "temperature": 1.0, | |
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| "other": -12.1875 | |
| }, | |
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| "input_tokens": 525 | |
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| }, | |
| "actual": "dog", | |
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| { | |
| "modality": "video_with_speech", | |
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| "temperature": 1.0, | |
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| { | |
| "modality": "video_with_speech", | |
| "question": "grade", | |
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| "answer": { | |
| "calibration_status": "unvalidated", | |
| "temperature": 1.0, | |
| "probability_source": "restricted_next_token_logits", | |
| "type": "score", | |
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| "legend": { | |
| "0": "Neither red nor blue", | |
| "1": "Only one of red or blue", | |
| "2": "Both red and blue" | |
| }, | |
| "probabilities": { | |
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| "diagnostics": { | |
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| "correct": true, | |
| "seconds": 0.8423217090021353 | |
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| ], | |
| "attempted": 15, | |
| "completed": 15, | |
| "correct": 13 | |
| } | |