🧠
Model

Mistral Small 3.1 24b Instruct 2503 Fp8 Dynamic

by RedHatAI redhatai/mistral-small-3.1-24b-instruct-2503-fp8-dynamic
Free2AITools Nexus Index
58.7
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 45
P: Popularity 57
R: Recency 100
Q: Quality 65
Tech Context
24.01 Params
32.768K Ctx
Vital Performance
79.9K DL / 30D
Audited 58.7 FNI Score
24.01B Params
32k Context
Hot 79.9K 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-fp8-dynamic
License Apache-2.0
Provider huggingface
💾

Compute Threshold

~20.5GB VRAM

Interactive
Analyze Hardware
â–ŧ

* Static estimation for 4-Bit Quantization.

📜

Cite this model

Academic & Research Attribution

BibTeX
@misc{redhatai_mistral_small_3_1_24b_instruct_2503_fp8_dynamic,
  author = {RedHatAI},
  title = {Mistral Small 3.1 24b Instruct 2503 Fp8 Dynamic Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/RedHatAI/Mistral-Small-3.1-24B-Instruct-2503-FP8-dynamic}},
  note = {Accessed via Free2AITools Knowledge Fortress}
}
APA Style
RedHatAI. (2026). Mistral Small 3.1 24b Instruct 2503 Fp8 Dynamic [Model]. Free2AITools. https://huggingface.co/RedHatAI/Mistral-Small-3.1-24B-Instruct-2503-FP8-dynamic

đŸ”ŦTechnical Deep Dive

Full Specifications [+]

Quick Commands

đŸĻ™ Ollama Run
ollama run mistral-small-3.1-24b-instruct-2503-fp8-dynamic
🤗 HF Download
huggingface-cli download redhatai/mistral-small-3.1-24b-instruct-2503-fp8-dynamic

âš–ī¸ Free2AITools Nexus Index V2.0

Semantic (S) 50

Query-time baseline · scored live at search

Authority (A) 45
Popularity (P) 57
Recency (R) 100
Quality (Q) 65

đŸ’Ŧ Index Insight

FNI V2.0 for Mistral Small 3.1 24b Instruct 2503 Fp8 Dynamic: Authority (A:45), Popularity (P:57), Recency (R:100), Quality (Q:65). Semantic (S) is a query-time baseline scored live at search.

Free2AITools Nexus Index

Verification Authority

Unbiased Data Node Refresh: VFS Live
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🚀 What's Next?

Technical Deep Dive

âš ī¸ 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 →

📝 Limitations & Considerations

  • â€ĸ Benchmark scores may vary based on evaluation methodology and hardware configuration.
  • â€ĸ VRAM requirements are estimates; actual usage depends on quantization and batch size.
  • â€ĸ 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
79.9KDownloads
🔄 Daily sync (03:00 UTC)

AI Summary: Based on Hugging Face metadata. Not a recommendation.

📊 FNI Methodology 📚 Knowledge Baseâ„šī¸ Verify with original source

đŸ›Ąī¸ Model Transparency Report

Technical metadata sourced from upstream repositories.

Open Metadata

🆔 Identity & Source

id
hf-model--redhatai--mistral-small-3.1-24b-instruct-2503-fp8-dynamic
slug
redhatai--mistral-small-3.1-24b-instruct-2503-fp8-dynamic
source
huggingface
author
RedHatAI
license
Apache-2.0
tags
safetensors, mistral3, mistralai, mistral, mistral-small, neuralmagic, redhat, llmcompressor, quantized, fp8, 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, license:apache-2.0, region:us

âš™ī¸ Technical Specs

architecture
Mistral3ForConditionalGeneration
params billions
24.01
context length
32,768
pipeline tag
image-text-to-text
vram gb
20.5
vram is estimated
true
vram formula
VRAM ≈ (params * 0.75) + 2GB (KV) + 0.5GB (OS)

📊 Engagement & Metrics

downloads
79,909
stars
null
forks
null

Data indexed from public sources. Updated daily.