🧠
Model

Occamy 1.0 Apex I Miniplus V2 Gguf

by IsValorum isvalorum/occamy-1.0-apex-i-miniplus-v2-gguf
Free2AITools Nexus Index
37.5
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 44
P: Popularity 43
R: Recency 98
Q: Quality 50
Tech Context
Vital Performance
8.9K DL / 30D

Technical Constraints

Experimental / High Latency
Low FNI signal 37.5 FNI Score
Tiny - Params
- Context
8.9K Downloads
Commercial APACHE License
Model Information Summary
Entity Passport
Registry ID isvalorum/occamy-1.0-apex-i-miniplus-v2-gguf
License Apache-2.0
Provider huggingface
πŸ“œ

Cite this model

Academic & Research Attribution

BibTeX
@misc{isvalorum_occamy_1_0_apex_i_miniplus_v2_gguf,
  author = {IsValorum},
  title = {Occamy 1.0 Apex I Miniplus V2 Gguf Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/IsValorum/Occamy-1.0-APEX-I-MiniPlus-V2-GGUF}},
  note = {Accessed via Free2AITools.}
}
APA Style
IsValorum. (2026). Occamy 1.0 Apex I Miniplus V2 Gguf [Model]. Free2AITools. https://huggingface.co/IsValorum/Occamy-1.0-APEX-I-MiniPlus-V2-GGUF

πŸ”¬Technical Deep Dive

Full Specifications [+]

Quick Commands

πŸ€— HF Download
huggingface-cli download isvalorum/occamy-1.0-apex-i-miniplus-v2-gguf

βš–οΈ Free2AITools Nexus Index V2.0

Semantic (S) 50

Query-time baseline · scored live at search

Authority (A) 44
Popularity (P) 43
Recency (R) 98
Quality (Q) 50

πŸ’¬ Index Insight

FNI V2.0 for Occamy 1.0 Apex I Miniplus V2 Gguf: Authority (A:44), Popularity (P:43), Recency (R:98), Quality (Q:50). Semantic (S) is a query-time baseline scored live at search.

Free2AITools Nexus Index

Data Sources / Provenance

Open data Updated: Live data
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πŸš€ What's Next?

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
8.9KDownloads
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--isvalorum--occamy-1.0-apex-i-miniplus-v2-gguf
slug
isvalorum--occamy-1.0-apex-i-miniplus-v2-gguf
source
huggingface
author
IsValorum
license
Apache-2.0
tags
gguf, apex, custom-quantization, unsloth-studio, moe, linear-attention, mamba-ssm, multimodal, vision, agentic, llama.cpp, qwen35moe, image-text-to-text, en, es, fr, de, pt, it, ru, ja, ko, vi, zh, base_model:accio-lab/occamy-1.0, base_model:quantized:accio-lab/occamy-1.0, license:apache-2.0, endpoints_compatible, region:us, imatrix, conversational, hybrid-attention, deltanet, ssm, quantization, quantized, th, ar

βš™οΈ Technical Specs

pipeline tag
image-text-to-text

πŸ“Š Engagement & Metrics

downloads
8,880

Data indexed from public sources. Updated daily.