🧠
Inkling model by thinkingmachines
⭐ 60.3
🧠
Model

Inkling

by thinkingmachines thinkingmachines/inkling
Free2AITools Nexus Index
60.3
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 58
P: Popularity 58
R: Recency 96
Q: Quality 65
Tech Context
952.38 Params
4.096K Ctx
Vital Performance
106.7K DL / 30D
Source β†’
Low FNI signal 60.3 FNI Score
Massive 952.38B Params
4k Context
Hot 106.7K Downloads
H100+ ~717GB Est. VRAM
Dense INKLINGFORCONDITIONALGENERATION Architecture
Commercial APACHE License
Model Information Summary
Entity Passport
Registry ID thinkingmachines/inkling
License Apache-2.0
Provider huggingface
πŸ’Ύ

Compute Threshold

~716.8GB VRAM

Interactive
Estimate fit
β–Ό

* Static estimation for 4-Bit Quantization. [Multi-GPU / Unified Memory Required]

πŸ“œ

Cite this model

Academic & Research Attribution

BibTeX 
@misc{thinkingmachines_inkling,
  author = {thinkingmachines},
  title = {Inkling Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/thinkingmachines/Inkling}},
  note = {Accessed via Free2AITools.}
}
APA Style
thinkingmachines. (2026). Inkling [Model]. Free2AITools. https://huggingface.co/thinkingmachines/Inkling

πŸ”¬Technical Deep Dive

Full Specifications [+]

Quick Commands

πŸ€— HF Download
huggingface-cli download thinkingmachines/inkling
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) 58
Popularity (P) 58
Recency (R) 96
Quality (Q) 65

πŸ’¬ Index Insight

FNI V2.0 for Inkling: Authority (A:58), Popularity (P:58), Recency (R:96), 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.
  • ⚠ License Unknown: Verify licensing terms before commercial use.

Social Proof

HuggingFace Hub
106.7KDownloads
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--thinkingmachines--inkling
slug
thinkingmachines--inkling
source
huggingface
author
thinkingmachines
license
Apache-2.0
tags
transformers, safetensors, inkling_mm_model, image-text-to-text, conversational, audio-text-to-text, moe, license:apache-2.0, eval-results, endpoints_compatible, region:us

βš™οΈ Technical Specs

architecture
InklingForConditionalGeneration
params billions
952.38
context length
4,096
pipeline tag
image-text-to-text
vram gb
716.8
vram is estimated
true
vram formula
VRAM β‰ˆ (params * 0.75) + 2GB (KV) + 0.5GB (OS)

πŸ“Š Engagement & Metrics

downloads
106,699
stars
null
forks
null

Data indexed from public sources. Updated daily.