🧠
Kimi K3 Abliterated model by colinb83
⭐ 39.2
🧠
Model

Kimi K3 Abliterated

by colinb83 colinb83/kimi-k3-abliterated
Free2AITools Nexus Index
39.2
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 0
P: Popularity 6
R: Recency 91
Q: Quality 65
Tech Context
2779.93 Params
4.096K Ctx
Vital Performance
58 DL / 30D
Source β†’

Technical Constraints

Experimental / High Latency
Low FNI signal 39.2 FNI Score
Massive 2779.93B Params
4k Context
58 Downloads
H100+ ~2088GB Est. VRAM
Dense KIMIK3FORCONDITIONALGENERATION Architecture
Restricted OTHER License
Model Information Summary
Entity Passport
Registry ID colinb83/kimi-k3-abliterated
License Other
Provider huggingface
πŸ’Ύ

Compute Threshold

~2087.4GB 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{colinb83_kimi_k3_abliterated,
  author = {colinb83},
  title = {Kimi K3 Abliterated Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/colinb83/Kimi-K3-Abliterated}},
  note = {Accessed via Free2AITools.}
}
APA Style
colinb83. (2026). Kimi K3 Abliterated [Model]. Free2AITools. https://huggingface.co/colinb83/Kimi-K3-Abliterated

πŸ”¬Technical Deep Dive

Full Specifications [+]

Quick Commands

πŸ€— HF Download
huggingface-cli download colinb83/kimi-k3-abliterated
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) 6
Recency (R) 91
Quality (Q) 65

πŸ’¬ Index Insight

FNI V2.0 for Kimi K3 Abliterated: Authority (A:0), Popularity (P:6), 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
58Downloads
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--colinb83--kimi-k3-abliterated
slug
colinb83--kimi-k3-abliterated
source
huggingface
author
colinb83
license
Other
tags
transformers, safetensors, kimi_k3, feature-extraction, compressed-tensors, conversational, image-text-to-text, custom_code, license:other, 8-bit, region:us

βš™οΈ Technical Specs

architecture
KimiK3ForConditionalGeneration
params billions
2,779.93
context length
4,096
pipeline tag
image-text-to-text
vram gb
2,087.4
vram is estimated
true
vram formula
VRAM β‰ˆ (params * 0.75) + 2GB (KV) + 0.5GB (OS)

πŸ“Š Engagement & Metrics

downloads
58

Data indexed from public sources. Updated daily.