Text Classification
Transformers
Safetensors
MLX
English
qwen3
feature-extraction
tinyjev
jev
decision-model
system-one
typed-decisions
text-embeddings-inference
Instructions to use AnkitAI/TinyJev-0.6B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnkitAI/TinyJev-0.6B with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnkitAI/TinyJev-0.6B")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("AnkitAI/TinyJev-0.6B") model = AutoModel.from_pretrained("AnkitAI/TinyJev-0.6B", device_map="auto") - MLX
How to use AnkitAI/TinyJev-0.6B with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir TinyJev-0.6B AnkitAI/TinyJev-0.6B
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
| { | |
| "format": "tinyjev-v2", | |
| "family": "kev", | |
| "name": "TinyJev-0.6B", | |
| "head": { | |
| "head_dim": 256, | |
| "temperature": 1.4640856959456252, | |
| "option_isolation": false, | |
| "temperature_note": "fitted on decision-v7 calibration partition by Kev trial scorer (micro NLL); served probabilities are logits / T" | |
| }, | |
| "tokenizer": { | |
| "eos_token_id": 151643, | |
| "pad_token_id": 151643 | |
| }, | |
| "max_state": 8192, | |
| "max_branch": 8192, | |
| "dtypes": { | |
| "backbone": "float16", | |
| "head": "float32" | |
| }, | |
| "upstream": { | |
| "repo": "AnkitAI/TinyJev-0.6B (E1(b): LoRA r16 lr5e-5 seed 2 on Qwen3-0.6B-Base, merged)", | |
| "base_model": "Qwen/Qwen3-0.6B-Base", | |
| "base_revision": "da87bfb608c14b7cf20ba1ce41287e8de496c0cd", | |
| "lora_rank": 16, | |
| "lora_alpha": 32, | |
| "merged_tensors": 196, | |
| "full_finetune": false, | |
| "trained_by": "tinyjev E1(b)", | |
| "trial": "tinyjev-e1-lora/01-trial-1", | |
| "data": "jaredpalmer/kev-suites decision-v7 train", | |
| "transfer_v4_dev_raw": 0.625, | |
| "transfer_v4_dev_calibrated_ece": 0.0739, | |
| "transfer_v4_test_locked_once": 0.6631, | |
| "decision_v7_test_locked_once": 0.8075 | |
| } | |
| } |