🧠
Qwen3 32b Fp8 model by Furiosa Ai
⭐ 36.3
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Model

Qwen3 32b Fp8

by Furiosa Ai furiosa-ai/qwen3-32b-fp8
Free2AITools Nexus Index
36.3
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 0
P: Popularity 28
R: Recency 100
Q: Quality 65
Tech Context
32.76 Params
32.768K Ctx
Vital Performance
1.2K DL / 30D
Source β†’

Task categories from upstream metadata

πŸ’¬Chat & Dialogue

Technical Constraints

Experimental / High Latency
Low FNI signal 36.3 FNI Score
32.76B Params
32k Context
1.2K Downloads
H100+ ~31GB Est. VRAM
Dense QWEN3FORCAUSALLM Architecture
Commercial APACHE License
Model Information Summary
Entity Passport
Registry ID furiosa-ai/qwen3-32b-fp8
License Apache-2.0
Provider huggingface
πŸ’Ύ

Compute Threshold

~30.1GB VRAM

Interactive
Estimate fit
β–Ό

* Static estimation for 4-Bit Quantization.

πŸ“œ

Cite this model

Academic & Research Attribution

BibTeX 
@misc{furiosa_ai_qwen3_32b_fp8,
  author = {Furiosa Ai},
  title = {Qwen3 32b Fp8 Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/furiosa-ai/Qwen3-32B-FP8}},
  note = {Accessed via Free2AITools.}
}
APA Style
Furiosa Ai. (2026). Qwen3 32b Fp8 [Model]. Free2AITools. https://huggingface.co/furiosa-ai/Qwen3-32B-FP8

πŸ”¬Technical Deep Dive

Full Specifications [+]

Quick Commands

πŸ¦™ Ollama Run
ollama run qwen3-32b-fp8
πŸ€— HF Download
huggingface-cli download furiosa-ai/qwen3-32b-fp8

βš–οΈ Free2AITools Nexus Index V2.0

Methodology How FNI works
Semantic (S) 50

Query-time baseline · scored live at search

Authority (A) 0
Popularity (P) 28
Recency (R) 100
Quality (Q) 65

πŸ’¬ Index Insight

FNI V2.0 for Qwen3 32b Fp8: Authority (A:0), Popularity (P:28), 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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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.

Social Proof

HuggingFace Hub
1.2KDownloads
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--furiosa-ai--qwen3-32b-fp8
slug
furiosa-ai--qwen3-32b-fp8
source
huggingface
author
Furiosa Ai
license
Apache-2.0
tags
furiosa-llm, qwen3, furiosa-ai, qwen, qwen-3, text-generation, conversational, en, base_model:qwen/qwen3-32b-fp8, base_model:quantized:qwen/qwen3-32b-fp8, license:apache-2.0, fp8, region:us, safetensors

βš™οΈ Technical Specs

architecture
Qwen3ForCausalLM
params billions
32.76
context length
32,768
pipeline tag
text-generation
vram gb
30.1
vram is estimated
true
vram formula
VRAM β‰ˆ (params * 0.75) + 5GB (KV) + 0.5GB (OS)

πŸ“Š Engagement & Metrics

downloads
1,224
stars
0
forks
0

Data indexed from public sources. Updated daily.