CURRICULUM 1p 7B Linear Mean Threshold 0.45 RM N Examples 200 Probe Layers 10 N Epochs 2 by cybershiptrooper

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CURRICULUM 1p 7B Linear Mean Threshold 0.45 RM N Examples 200 Probe Layers 10 N Epochs 2 is an open-source language model by cybershiptrooper. Features: 7b LLM, VRAM: 13.5GB, Context: 4K, LLM Explorer Score: 0.19.

  Llama   Region:us   Safetensors   Sharded   Tensorboard   Tensorflow

CURRICULUM 1p 7B Linear Mean Threshold 0.45 RM N Examples 200 Probe Layers 10 N Epochs 2 Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

CURRICULUM 1p 7B Linear Mean Threshold 0.45 RM N Examples 200 Probe Layers 10 N Epochs 2 Parameters and Internals

LLM NameCURRICULUM 1p 7B Linear Mean Threshold 0.45 RM N Examples 200 Probe Layers 10 N Epochs 2
Repository 🤗https://huggingface.co/cybershiptrooper/CURRICULUM-1p_7B_linear_mean-threshold_0.45-RM-n_examples_200-probe_layers_10-n_epochs_2 
Model Size7b
Required VRAM13.5 GB
Updated2025-09-19
Maintainercybershiptrooper
Model Typellama
Model Files  4.9 GB: 1-of-3   5.0 GB: 2-of-3   3.6 GB: 3-of-3   0.0 GB
Model ArchitectureLlamaForCausalLM
Context Length4096
Model Max Length4096
Transformers Version4.51.3
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32000
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than cybershiptrooper/CURRICULUM-1p_7B_linear_mean-threshold_0.45-RM-n_examples_200-probe_layers_10-n_epochs_2.

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
Text Generation  
Text Summarization and Feature Extraction  
Code Generation  
Multi-Language Support and Translation  

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Release v20260328a