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Exomind 9b Gguf model by mradermacher
⭐ 39.3
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Model

Exomind 9b Gguf

by mradermacher mradermacher/exomind-9b-gguf
Free2AITools Nexus Index
39.3
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 0
P: Popularity 2
R: Recency 91
Q: Quality 65
Tech Context
9 Params
4.096K Ctx
Vital Performance
17 DL / 30D
Source β†’

Technical Constraints

Experimental / High Latency
Low FNI signal 39.3 FNI Score
9B Params
4k Context
17 Downloads
24G GPU ~9GB Est. VRAM
Commercial APACHE License
Model Information Summary
Entity Passport
Registry ID mradermacher/exomind-9b-gguf
License Apache-2.0
Provider huggingface
πŸ’Ύ

Compute Threshold

~8.1GB VRAM

Interactive
Estimate fit
β–Ό

* Static estimation for 4-Bit Quantization.

πŸ“œ

Cite this model

Academic & Research Attribution

BibTeX 
@misc{mradermacher_exomind_9b_gguf,
  author = {mradermacher},
  title = {Exomind 9b Gguf Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/mradermacher/ExoMind-9B-GGUF}},
  note = {Accessed via Free2AITools.}
}
APA Style
mradermacher. (2026). Exomind 9b Gguf [Model]. Free2AITools. https://huggingface.co/mradermacher/ExoMind-9B-GGUF

πŸ”¬Technical Deep Dive

Full Specifications [+]

Quick Commands

πŸ¦™ Ollama Run
ollama run exomind-9b-gguf
πŸ€— HF Download
huggingface-cli download mradermacher/exomind-9b-gguf
πŸ“¦ Install Lib
pip install -U transformers

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) 2
Recency (R) 91
Quality (Q) 65

πŸ’¬ Index Insight

FNI V2.0 for Exomind 9b Gguf: Authority (A:0), Popularity (P:2), Recency (R:91), 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
17Downloads
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--mradermacher--exomind-9b-gguf
slug
mradermacher--exomind-9b-gguf
source
huggingface
author
mradermacher
license
Apache-2.0
tags
transformers, gguf, exomind, scientific-reasoning, scientific-research, agentic, tool-use, multimodal, vision-language, qwen3.5, safetensors, en, zh, base_model:ai4sgi/exomind-9b, base_model:quantized:ai4sgi/exomind-9b, license:apache-2.0, endpoints_compatible, region:us, conversational

βš™οΈ Technical Specs

params billions
9
context length
4,096
vram gb
8.1
vram is estimated
true
vram formula
VRAM β‰ˆ (params * 0.75) + 0.8GB (KV) + 0.5GB (OS)

πŸ“Š Engagement & Metrics

downloads
17

Data indexed from public sources. Updated daily.