Text Classification
Transformers
Safetensors
English
nli
cross-encoder
qwen3.5
reranker
image-text-to-text
Instructions to use AlexWortega/openjev with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AlexWortega/openjev with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AlexWortega/openjev")# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("AlexWortega/openjev", device_map="auto") - Notebooks
- Google Colab
- Kaggle
35B latent+MLP heads
Browse files- mlp_heads_35b/arc_challenge/head.pt +3 -0
- mlp_heads_35b/arc_challenge/meta.json +9 -0
- mlp_heads_35b/arc_challenge/norm.npz +3 -0
- mlp_heads_35b/arc_easy/head.pt +3 -0
- mlp_heads_35b/arc_easy/meta.json +9 -0
- mlp_heads_35b/arc_easy/norm.npz +3 -0
- mlp_heads_35b/chess/head.pt +3 -0
- mlp_heads_35b/chess/meta.json +9 -0
- mlp_heads_35b/chess/norm.npz +3 -0
- mlp_heads_35b/gpqa/head.pt +3 -0
- mlp_heads_35b/gpqa/meta.json +9 -0
- mlp_heads_35b/gpqa/norm.npz +3 -0
- mlp_heads_35b/gsm8k_mc10/head.pt +3 -0
- mlp_heads_35b/gsm8k_mc10/meta.json +9 -0
- mlp_heads_35b/gsm8k_mc10/norm.npz +3 -0
- mlp_heads_35b/gsm8k_mc4/head.pt +3 -0
- mlp_heads_35b/gsm8k_mc4/meta.json +9 -0
- mlp_heads_35b/gsm8k_mc4/norm.npz +3 -0
- mlp_heads_35b/hellaswag/head.pt +3 -0
- mlp_heads_35b/hellaswag/meta.json +9 -0
- mlp_heads_35b/hellaswag/norm.npz +3 -0
- mlp_heads_35b/mmlu/head.pt +3 -0
- mlp_heads_35b/mmlu/meta.json +9 -0
- mlp_heads_35b/mmlu/norm.npz +3 -0
- mlp_heads_35b/winogrande/head.pt +3 -0
- mlp_heads_35b/winogrande/meta.json +9 -0
- mlp_heads_35b/winogrande/norm.npz +3 -0
mlp_heads_35b/arc_challenge/head.pt
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"dropout": 0.1,
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"test_acc": 0.9172354948805461,
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"hypothesis": "The correct answer is: {option}"
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"hidden": 512,
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"dropout": 0.1,
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"eps": 0.1,
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"test_acc": 0.9654882154882155,
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"hypothesis": "The correct answer is: {option}"
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mlp_heads_35b/chess/meta.json
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"test_acc": 0.896,
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"hypothesis": "The correct answer is: {option}"
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mlp_heads_35b/gpqa/head.pt
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"dropout": 0.1,
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"eps": 0.1,
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"test_acc": 0.3838383838383838,
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"hypothesis": "The correct answer is: {option}"
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mlp_heads_35b/gsm8k_mc10/head.pt
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mlp_heads_35b/gsm8k_mc10/meta.json
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"test_acc": 0.6034874905231236,
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"hypothesis": "The correct answer is: {option}"
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mlp_heads_35b/gsm8k_mc4/head.pt
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mlp_heads_35b/gsm8k_mc4/meta.json
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"test_acc": 0.7232752084912812,
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mlp_heads_35b/hellaswag/head.pt
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mlp_heads_35b/hellaswag/meta.json
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"eps": 0.1,
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"test_acc": 0.9428400716988647,
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"hypothesis": "The correct answer is: {option}"
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mlp_heads_35b/mmlu/head.pt
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"test_acc": 0.7238997293832787,
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"eps": 0.1,
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"test_acc": 0.8121546961325967,
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"hypothesis": "The correct answer is: {option}"
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