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E2 Phi4 Instruct Extended 3500steps Merged by embraceableAI

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E2 Phi4 Instruct Extended 3500steps Merged is an open-source language model by embraceableAI. Features: 14.7b LLM, VRAM: 29.4GB, Context: 31K, Instruction-Based, LLM Explorer Score: 0.2.

  Instruct   Llama   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/embraceableAI/e2-phi4-instruct-extended-3500steps-Merged 

E2 Phi4 Instruct Extended 3500steps Merged Benchmarks

LLME Score: 0.2043
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
E2 Phi4 Instruct Extended 3500steps Merged (embraceableAI/e2-phi4-instruct-extended-3500steps-Merged)
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E2 Phi4 Instruct Extended 3500steps Merged Parameters and Internals

LLM NameE2 Phi4 Instruct Extended 3500steps Merged
Repository 🤗https://huggingface.co/embraceableAI/e2-phi4-instruct-extended-3500steps-Merged 
Model Size14.7b
Required VRAM29.4 GB
Updated2025-09-23
MaintainerembraceableAI
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

Best Alternatives to E2 Phi4 Instruct Extended 3500steps Merged

Best Alternatives
Context / RAM
Downloads
Likes
...kpoints 511 Onlytrainex Merged31K / 29.4 GB250
E2 Phi4 Instruct NTK Scaled31K / 29.4 GB200
...ct NTK Scaled 1000steps Merged31K / 29.4 GB50
Note: green Score (e.g. "73.2") means that the model is better than embraceableAI/e2-phi4-instruct-extended-3500steps-Merged.

Rank the E2 Phi4 Instruct Extended 3500steps Merged Capabilities

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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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