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Phi 4 Quantized.w8a8 model by RedHatAI
⭐ 55.3
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Model

Phi 4 Quantized.w8a8

by RedHatAI redhatai/phi-4-quantized.w8a8
Free2AITools Nexus Index
55.3
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 39
P: Popularity 45
R: Recency 100
Q: Quality 65
Tech Context
14.66 Params
4.096K Ctx
Vital Performance
11.2K DL / 30D
Source β†’

Task categories from upstream metadata

πŸ’¬Chat & Dialogue
Low FNI signal 55.3 FNI Score
14.66B Params
4k Context
11.2K Downloads
24G GPU ~13GB Est. VRAM
Dense PHI3FORCAUSALLM Architecture
Commercial MIT License
Model Information Summary
Entity Passport
Registry ID redhatai/phi-4-quantized.w8a8
License MIT
Provider huggingface
πŸ’Ύ

Compute Threshold

~12.3GB VRAM

Interactive
Estimate fit
β–Ό

* Static estimation for 4-Bit Quantization.

πŸ“œ

Cite this model

Academic & Research Attribution

BibTeX 
@misc{redhatai_phi_4_quantized_w8a8,
  author = {RedHatAI},
  title = {Phi 4 Quantized.w8a8 Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/RedHatAI/phi-4-quantized.w8a8}},
  note = {Accessed via Free2AITools.}
}
APA Style
RedHatAI. (2026). Phi 4 Quantized.w8a8 [Model]. Free2AITools. https://huggingface.co/RedHatAI/phi-4-quantized.w8a8

πŸ”¬Technical Deep Dive

Full Specifications [+]

Quick Commands

πŸ¦™ Ollama Run
ollama run phi-4-quantized.w8a8
πŸ€— HF Download
huggingface-cli download redhatai/phi-4-quantized.w8a8

βš–οΈ Free2AITools Nexus Index V2.0

Methodology How FNI works
Semantic (S) 50

Query-time baseline · scored live at search

Authority (A) 39
Popularity (P) 45
Recency (R) 100
Quality (Q) 65

πŸ’¬ Index Insight

FNI V2.0 for Phi 4 Quantized.w8a8: Authority (A:39), Popularity (P:45), Recency (R:100), Quality (Q:65). Semantic (S) is a query-time baseline scored live at search.

Free2AITools Nexus Index

Data Sources / Provenance

HuggingFace API GitHub Metadata Arxiv Citation DB Methodology
Open data Updated: Live data
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πŸš€ What's Next?

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Deployment reference

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Technical Deep Dive

⚠️ Incomplete Data

Some information about this model is not available. Use with Caution - Verify details from the original source before relying on this data.

View Original Source β†’

πŸ“ Limitations & Considerations

  • β€’ Benchmark scores may vary based on evaluation methodology and hardware configuration.
  • β€’ VRAM requirements are estimates; actual usage depends on quantization and batch size.
  • β€’ FNI scores are relative rankings and may change as new models are added.
  • ⚠ License Unknown: Verify licensing terms before commercial use.

Social Proof

HuggingFace Hub
11.2KDownloads
Hub Discussions
πŸ€— Data Source: Hugging Face β†—
πŸ”„ Updated daily

Source summary: Based on Hugging Face metadata. Not a recommendation.

πŸ“Š FNI Methodology πŸ“š Knowledge Baseℹ️ Verify with original source

πŸ›‘οΈ Model Transparency Report

Technical metadata sourced from upstream repositories.

Open Metadata

πŸ†” Identity & Source

id
hf-model--redhatai--phi-4-quantized.w8a8
slug
redhatai--phi-4-quantized.w8a8
source
huggingface
author
RedHatAI
license
MIT
tags
safetensors, phi3, phi, nlp, math, code, chat, conversational, neuralmagic, redhat, llmcompressor, quantized, w8a8, int8, compressed-tensors, text-generation, en, arxiv:2211.10438, arxiv:2210.17323, base_model:microsoft/phi-4, base_model:quantized:microsoft/phi-4, license:mit, 8-bit, region:us

βš™οΈ Technical Specs

architecture
Phi3ForCausalLM
params billions
14.66
context length
4,096
pipeline tag
text-generation
vram gb
12.3
vram is estimated
true
vram formula
VRAM β‰ˆ (params * 0.75) + 0.8GB (KV) + 0.5GB (OS)

πŸ“Š Engagement & Metrics

downloads
11,200
stars
null
forks
null

Data indexed from public sources. Updated daily.