🧠
Model

Mistral Small 3.1 24b Instruct 2503 Quantized.w4a16

by RedHatAI redhatai/mistral-small-3.1-24b-instruct-2503-quantized.w4a16
Free2AITools Nexus Index
54.8
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 45
P: Popularity 30
R: Recency 100
Q: Quality 65
Tech Context
24.19 Params
32.768K Ctx
Vital Performance
1.7K DL / 30D
Low FNI signal 54.8 FNI Score
24.19B Params
32k Context
1.7K Downloads
24G GPU ~21GB Est. VRAM
Dense MISTRAL3FORCONDITIONALGENERATION Architecture
Commercial APACHE License
Model Information Summary
Entity Passport
Registry ID redhatai/mistral-small-3.1-24b-instruct-2503-quantized.w4a16
License Apache-2.0
Provider huggingface
πŸ’Ύ

Compute Threshold

~20.6GB VRAM

Interactive
Estimate fit
β–Ό

* Static estimation for 4-Bit Quantization.

πŸ“œ

Cite this model

Academic & Research Attribution

BibTeX
@misc{redhatai_mistral_small_3_1_24b_instruct_2503_quantized_w4a16,
  author = {RedHatAI},
  title = {Mistral Small 3.1 24b Instruct 2503 Quantized.w4a16 Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/RedHatAI/Mistral-Small-3.1-24B-Instruct-2503-quantized.w4a16}},
  note = {Accessed via Free2AITools.}
}
APA Style
RedHatAI. (2026). Mistral Small 3.1 24b Instruct 2503 Quantized.w4a16 [Model]. Free2AITools. https://huggingface.co/RedHatAI/Mistral-Small-3.1-24B-Instruct-2503-quantized.w4a16

πŸ”¬Technical Deep Dive

Full Specifications [+]

Quick Commands

πŸ¦™ Ollama Run
ollama run mistral-small-3.1-24b-instruct-2503-quantized.w4a16
πŸ€— HF Download
huggingface-cli download redhatai/mistral-small-3.1-24b-instruct-2503-quantized.w4a16

βš–οΈ Free2AITools Nexus Index V2.0

Semantic (S) 50

Query-time baseline · scored live at search

Authority (A) 45
Popularity (P) 30
Recency (R) 100
Quality (Q) 65

πŸ’¬ Index Insight

FNI V2.0 for Mistral Small 3.1 24b Instruct 2503 Quantized.w4a16: Authority (A:45), Popularity (P:30), Recency (R:100), Quality (Q:65). Semantic (S) is a query-time baseline scored live at search.

Free2AITools Nexus Index

Data Sources / Provenance

Open data Updated: Live data
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πŸš€ What's Next?

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
1.7KDownloads
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--mistral-small-3.1-24b-instruct-2503-quantized.w4a16
slug
redhatai--mistral-small-3.1-24b-instruct-2503-quantized.w4a16
source
huggingface
author
RedHatAI
license
Apache-2.0
tags
safetensors, mistral3, mistralai, mistral, mistral-small, neuralmagic, redhat, llmcompressor, quantized, w4a16, int4, conversational, compressed-tensors, fast, image-text-to-text, en, fr, de, es, it, pt, hi, id, tl, vi, ar, bg, zh, da, el, fa, fi, he, ja, ko, ms, nl, no, pl, ro, ru, sr, sv, th, tr, uk, ur, zsm, nld, arxiv:2210.17323, license:apache-2.0, region:us

βš™οΈ Technical Specs

architecture
Mistral3ForConditionalGeneration
params billions
24.19
context length
32,768
pipeline tag
image-text-to-text
vram gb
20.6
vram is estimated
true
vram formula
VRAM β‰ˆ (params * 0.75) + 2GB (KV) + 0.5GB (OS)

πŸ“Š Engagement & Metrics

downloads
1,675
stars
null
forks
null

Data indexed from public sources. Updated daily.