Multiple Choice
PEFT
Safetensors
English
gev
decision-model
lora
pointer-head
calibration
Eval Results (legacy)
Instructions to use onatm/gev-e2b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use onatm/gev-e2b with PEFT:
Task type is invalid.
- Notebooks
- Google Colab
- Kaggle
Download gev.json from onatm/gev-e2b: direct link, hf CLI and curl.
- Browser
- Download file 2.07 kB
-
https://huggingface.co/onatm/gev-e2b/resolve/main/gev.json
- Command line
-
hf download hf://onatm/gev-e2b/gev.json
-
curl -L -o gev.json https://huggingface.co/onatm/gev-e2b/resolve/main/gev.json
2.07 kB
| { | |
| "format": "gev-checkpoint", | |
| "format_version": 1, | |
| "gev_version": "0.1.0", | |
| "base_model": "google/gemma-4-E2B", | |
| "revision": "d29ff6b45f081a49ee2733a859c9c9c2d95d1a6f", | |
| "family": "gemma4", | |
| "markers": { | |
| "state": { | |
| "token": "<unused0>", | |
| "id": 6 | |
| }, | |
| "question": { | |
| "token": "<unused1>", | |
| "id": 7 | |
| }, | |
| "option_start": { | |
| "token": "<unused2>", | |
| "id": 8 | |
| }, | |
| "option_end": { | |
| "token": "<unused3>", | |
| "id": 9 | |
| }, | |
| "decide": { | |
| "token": "<unused4>", | |
| "id": 10 | |
| } | |
| }, | |
| "state_cap": 384, | |
| "branch_cap": 2048, | |
| "temperature": 1.6245047927124707, | |
| "trained_with": { | |
| "backend": "mlx", | |
| "dtype": "bf16" | |
| }, | |
| "config": { | |
| "name": "gev-e2b", | |
| "model": { | |
| "name": "google/gemma-4-E2B", | |
| "revision": "d29ff6b45f081a49ee2733a859c9c9c2d95d1a6f", | |
| "family": "gemma4", | |
| "markers": [ | |
| "<unused0>", | |
| "<unused1>", | |
| "<unused2>", | |
| "<unused3>", | |
| "<unused4>" | |
| ], | |
| "lora_rank": 16, | |
| "lora_alpha": 32, | |
| "lora_dropout": 0.05, | |
| "lora_targets": [ | |
| "q_proj", | |
| "k_proj", | |
| "v_proj", | |
| "o_proj", | |
| "gate_proj", | |
| "up_proj", | |
| "down_proj" | |
| ], | |
| "pointer_width": 256 | |
| }, | |
| "training": { | |
| "seed": 0, | |
| "epochs": 2, | |
| "learning_rate": 0.0001, | |
| "head_learning_rate": null, | |
| "weight_decay": 0.01, | |
| "logical_batch": 8, | |
| "microbatch": 1, | |
| "max_steps": null, | |
| "save_every": 250, | |
| "state_cap": 384, | |
| "branch_cap": 2048, | |
| "p_none": 0.1, | |
| "p_none_distract": 0.12, | |
| "p_distract": 0.15, | |
| "p_none_pair": 0.25 | |
| }, | |
| "backend": "mlx", | |
| "device": "auto", | |
| "dtype": "bf16", | |
| "attn_implementation": "sdpa", | |
| "gradient_checkpointing": false | |
| }, | |
| "training": { | |
| "steps": 3144, | |
| "total_steps": 3144, | |
| "complete": true, | |
| "seconds": 13010.148587625008, | |
| "train_sha256": "7ed5254b5cb5291baefaceb09edf7e13110258211518c8038f4a12c11bd628ad", | |
| "train_records": 12576 | |
| } | |
| } | |