LLM EXPLORER
 LLM Explorer: A Curated Large Language Model Directory and Analytics
Dark Theme
  Agents   Benchmarks   LLM  List    LLM Hosting    LLM Leaderboards    Blog    Newsfeed    Advertise

Phi 3 Medium 128K Instruct by microsoft

 »  All LLMs  »  microsoft  »  Phi 3 Medium 128K Instruct   URL Share it on

  5878   

Phi 3 Medium 128K Instruct is an open-source language model by microsoft. Features: 14b LLM, VRAM: 28GB, Context: 128K, License: mit, Instruction-Based, HF Score: 73, LLM Explorer Score: 0.28, Arc: 66.5, HellaSwag: 84.9, MMLU: 76.8, TruthfulQA: 54.6, WinoGrande: 74.7, GSM8K: 80.5.

  Code   Conversational   Custom code   Endpoints compatible   Instruct   Multilingual   Phi3   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/microsoft/Phi-3-medium-128k-instruct 

Phi 3 Medium 128K Instruct Benchmarks

MMLU Pro: 41.24
GPQA: 11.52
MUSR: 11.35
BBH: 48.46
IFEval: 60.4 vs 88 (so35)-31.4%
ARC: 66.47 vs 96.7 (so35)-31.3%
HellaSwag: 84.91 vs 95.3 (gpt4)-10.9%
MMLU: 76.75 vs 88.3 (so35)-13.1%
TruthfulQA: 54.59 vs 59 (gpt4)-7.5%
WinoGrande: 74.74 vs 87.5 (gpt4)-14.6%
GSM8K: 80.52 vs 96.4 (so35)-16.5%
MATH Lvl 5: 19.18
LLME Score: 0.28052
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Phi 3 Medium 128K Instruct (microsoft/Phi-3-medium-128k-instruct)
🌟 Advertise your project 🚀

Phi 3 Medium 128K Instruct Parameters and Internals

Model Type 
text-generation, code
Use Cases 
Areas:
Commercial, Research
Applications:
Language and multimodal models, Generative AI
Primary Use Cases:
Memory/compute constrained environments for general AI system, Latency bound scenarios requiring strong reasoning, Research acceleration
Limitations:
Not evaluated for all downstream purposes, High risk scenarios may require debiasing techniques
Considerations:
Evaluate and mitigate accuracy, safety, and fairness before use in specific downstream scenarios.
Supported Languages 
English (primary)
Training Details 
Data Sources:
Publicly available documents, Newly created synthetic text data, High quality chat format supervised data
Data Volume:
4.8 trillion tokens
Methodology:
Supervised fine-tuning (SFT) and Direct Preference Optimization (DPO)
Context Length:
128000
Training Time:
42 days
Hardware Used:
512 H100-80G GPUs
Model Architecture:
Dense decoder-only Transformer
Responsible Ai Considerations 
Fairness:
Trained primarily on English text, under-representation of some English language varieties is possible.
Transparency:
Models may generate inappropriate or offensive content; transparent communication with users recommended.
Accountability:
Developers should adhere to applicable laws and verify outputs before use in high-risk scenarios.
Mitigation Strategies:
Built-in safety classifiers and custom solutions for high-risk contexts.
Input Output 
Input Format:
Chat format prompts
Accepted Modalities:
Text
Output Format:
Generated text
Performance Tips:
Add a BOS token (`~~`) at the start of the conversation for reliable results.
Release Notes 
Version:
May 21, 2024
Date:
2024-05-21
Notes:
Phi-3-Medium-128K-Instruct model released with 14B parameters and advanced capabilities.
LLM NamePhi 3 Medium 128K Instruct
Repository 🤗https://huggingface.co/microsoft/Phi-3-medium-128k-instruct 
Model Size14b
Required VRAM28 GB
Updated2026-04-16
Maintainermicrosoft
Model Typephi3
Instruction-BasedYes
Model Files  4.9 GB: 1-of-6   5.0 GB: 2-of-6   4.9 GB: 3-of-6   4.8 GB: 4-of-6   4.8 GB: 5-of-6   3.6 GB: 6-of-6
Model ArchitecturePhi3ForCausalLM
Licensemit
Context Length131072
Model Max Length131072
Transformers Version4.39.3
Tokenizer ClassLlamaTokenizer
Padding Token<|endoftext|>
Vocabulary Size32064
Torch Data Typebfloat16

Quantized Models of the Phi 3 Medium 128K Instruct

Model
Likes
Downloads
VRAM
...hi 3 Medium 128K Instruct GGUF21175 GB
...hi 3 Medium 128K Instruct GGUF0755 GB

Best Alternatives to Phi 3 Medium 128K Instruct

Best Alternatives
Context / RAM
Downloads
Likes
Phi 4 Mini Instruct128K / 7.7 GB637798706
Phi 3 Mini 128K Instruct128K / 7.7 GB2523721699
Phi 4 Mini Instruct ONNX GQA128K /  GB365
Phi 3.5 Mini Instruct Onnx Web128K /  GB61215
Phi 3.5 Mini Instruct Onnx128K /  GB10837
Phi 3 Mini 128K Instruct Onnx128K /  GB97192
...i 3 Mini 128K Instruct Ov Int4128K / 2 GB50
...Medium 128K Instruct Onnx Cuda128K /  GB2723
... Medium 128K Instruct Onnx Cpu128K /  GB3913
...3 Mini 128K Instruct Asym Int4128K / 2.5 GB1220
Note: green Score (e.g. "73.2") means that the model is better than microsoft/Phi-3-medium-128k-instruct.

Rank the Phi 3 Medium 128K Instruct Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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  

What open-source LLMs or SLMs are you in search of? 53185 in total.

Email us: info@extractum.io. Our Privacy Policy  | Terms and Conditions  | Suggest an improvement.
Our Social Media →  
Original data from HuggingFace, OpenCompass and various public git repos.
Check out Ag3ntum — our secure, self-hosted AI agent for server management.
Release v20260328a
  Support LLM Explorer