What are the hardware requirements for E2 Phi4 Instruct NTK Scaled?

E2 Phi4 Instruct NTK Scaled requires approximately 29.4 GB of VRAM and supports a context window of 31K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed E2 Phi4 Instruct NTK Scaled and how large is it?

E2 Phi4 Instruct NTK Scaled is developed by sp-embraceable, a model with 14.7b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

Where can I download or evaluate E2 Phi4 Instruct NTK Scaled?

E2 Phi4 Instruct NTK Scaled is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

E2 Phi4 Instruct NTK Scaled by sp-embraceable — VRAM 29.4GB, 31K context

Name: E2 Phi4 Instruct NTK Scaled
Author: sp-embraceable

E2 Phi4 Instruct NTK Scaled 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.

Arxiv:1910.09700 Autotrain compatible Conversational Endpoints compatible Instruct Llama Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/sp-embraceable/e2-phi4-instruct-NTK-Scaled

E2 Phi4 Instruct NTK Scaled Parameters and Internals

LLM Name	E2 Phi4 Instruct NTK Scaled
Repository 🤗	https://huggingface.co/sp-embraceable/e2-phi4-instruct-NTK-Scaled
Model Size	14.7b
Required VRAM	29.4 GB
Updated	2025-09-23
Maintainer	sp-embraceable
Model Type	llama
Instruction-Based	Yes
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 Architecture	LlamaForCausalLM
Context Length	32000
Model Max Length	32000
Transformers Version	4.53.2
Tokenizer Class	GPT2Tokenizer
Padding Token	<\|dummy_87\|>
Vocabulary Size	100352
Torch Data Type	bfloat16

Rank the E2 Phi4 Instruct NTK Scaled capabilities

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Instruction Following and Task Automation
Factuality and Completeness of Knowledge
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Data Analysis and Insight Generation
Text Generation
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Best Alternatives to E2 Phi4 Instruct NTK Scaled

Best Alternatives	Context / RAM	Downloads
...kpoints 511 Onlytrainex Merged	31K / 29.4 GB	25
...ruct Extended 3500steps Merged	31K / 29.4 GB	71
...ct NTK Scaled 1000steps Merged	31K / 29.4 GB	5

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