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E2 Phi4 Instruct NTK Scaled 1000steps Merged by sp-embraceable

By sp-embraceable · 5 downloads
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E2 Phi4 Instruct NTK Scaled 1000steps Merged is an open-source language model by sp-embraceable. Features: 14.7b LLM, VRAM: 29.4GB, Context: 31K, Instruction-Based, LLM Explorer Score: 0.19.

  Instruct   Llama   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/sp-embraceable/e2-phi4-instruct-NTK-Scaled-1000steps-Merged 

E2 Phi4 Instruct NTK Scaled 1000steps Merged Parameters and Internals

LLM NameE2 Phi4 Instruct NTK Scaled 1000steps Merged
Repository 🤗https://huggingface.co/sp-embraceable/e2-phi4-instruct-NTK-Scaled-1000steps-Merged 
Model Size14.7b
Required VRAM29.4 GB
Updated2025-09-20
Maintainersp-embraceable
Model Typellama
Instruction-BasedYes
Model Files  4.9 GB: 1-of-6   5.0 GB: 2-of-6   4.9 GB: 3-of-6   5.0 GB: 4-of-6   5.0 GB: 5-of-6   4.6 GB: 6-of-6
Model ArchitectureLlamaForCausalLM
Context Length32000
Model Max Length32000
Transformers Version4.53.3
Tokenizer ClassGPT2Tokenizer
Padding Token<|dummy_87|>
Vocabulary Size100352
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than sp-embraceable/e2-phi4-instruct-NTK-Scaled-1000steps-Merged.