🧠
Turbo Ai 7b I1 Gguf model by mradermacher
⭐ 43.1
🧠
Model

Turbo Ai 7b I1 Gguf

by mradermacher mradermacher/turbo-ai-7b-i1-gguf
Free2AITools Nexus Index
43.1
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 33
P: Popularity 30
R: Recency 90
Q: Quality 65
Tech Context
7 Params
4.096K Ctx
Vital Performance
1.6K DL / 30D
Source β†’

Task categories from upstream metadata

πŸ“Content Summary

Technical Constraints

Experimental / High Latency
Low FNI signal 43.1 FNI Score
7B Params
4k Context
1.6K Downloads
8G GPU ~7GB Est. VRAM
Commercial APACHE License
Model Information Summary
Entity Passport
Registry ID mradermacher/turbo-ai-7b-i1-gguf
License Apache-2.0
Provider huggingface
πŸ’Ύ

Compute Threshold

~6.5GB VRAM

Interactive
Estimate fit
β–Ό

* Static estimation for 4-Bit Quantization.

πŸ“œ

Cite this model

Academic & Research Attribution

BibTeX 
@misc{mradermacher_turbo_ai_7b_i1_gguf,
  author = {mradermacher},
  title = {Turbo Ai 7b I1 Gguf Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/mradermacher/turbo-ai-7b-i1-GGUF}},
  note = {Accessed via Free2AITools.}
}
APA Style
mradermacher. (2026). Turbo Ai 7b I1 Gguf [Model]. Free2AITools. https://huggingface.co/mradermacher/turbo-ai-7b-i1-GGUF

πŸ”¬Technical Deep Dive

Full Specifications [+]

Quick Commands

πŸ¦™ Ollama Run
ollama run turbo-ai-7b-i1-gguf
πŸ€— HF Download
huggingface-cli download mradermacher/turbo-ai-7b-i1-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) 33
Popularity (P) 30
Recency (R) 90
Quality (Q) 65

πŸ’¬ Index Insight

FNI V2.0 for Turbo Ai 7b I1 Gguf: Authority (A:33), Popularity (P:30), Recency (R:90), 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
1.6KDownloads
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--turbo-ai-7b-i1-gguf
slug
mradermacher--turbo-ai-7b-i1-gguf
source
huggingface
author
mradermacher
license
Apache-2.0
tags
transformers, gguf, safetensors, qwen2, text-generation, conversational, email, summarization, drafting, task-extraction, local-ai, edge-ai, privacy, turboai, turbomail, en, base_model:turboailabs/turbo-ai-7b, base_model:quantized:turboailabs/turbo-ai-7b, license:apache-2.0, endpoints_compatible, region:us, imatrix

βš™οΈ Technical Specs

params billions
7
context length
4,096
pipeline tag
summarization
vram gb
6.5
vram is estimated
true
vram formula
VRAM β‰ˆ (params * 0.75) + 0.8GB (KV) + 0.5GB (OS)

πŸ“Š Engagement & Metrics

downloads
1,613

Data indexed from public sources. Updated daily.