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Ling 3.0 Flash Base 30t Rocmfp4 Coherent Gguf model by kingjones777
⭐ 37.5
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Model

Ling 3.0 Flash Base 30t Rocmfp4 Coherent Gguf

by kingjones777 kingjones777/ling-3.0-flash-base-30t-rocmfp4-coherent-gguf
Free2AITools Nexus Index
37.5
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 0
P: Popularity 8
R: Recency 92
Q: Quality 50
Tech Context
Vital Performance
92 DL / 30D
Source β†’

Task categories from upstream metadata

πŸ’¬Chat & Dialogue

Technical Constraints

Experimental / High Latency
Low FNI signal 37.5 FNI Score
Tiny - Params
- Context
92 Downloads
Commercial MIT License
Model Information Summary
Entity Passport
Registry ID kingjones777/ling-3.0-flash-base-30t-rocmfp4-coherent-gguf
License MIT
Provider huggingface
πŸ“œ

Cite this model

Academic & Research Attribution

BibTeX 
@misc{kingjones777_ling_3_0_flash_base_30t_rocmfp4_coherent_gguf,
  author = {kingjones777},
  title = {Ling 3.0 Flash Base 30t Rocmfp4 Coherent Gguf Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/kingjones777/Ling-3.0-flash-base-30T-ROCmFP4-COHERENT-GGUF}},
  note = {Accessed via Free2AITools.}
}
APA Style
kingjones777. (2026). Ling 3.0 Flash Base 30t Rocmfp4 Coherent Gguf [Model]. Free2AITools. https://huggingface.co/kingjones777/Ling-3.0-flash-base-30T-ROCmFP4-COHERENT-GGUF

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Full Specifications [+]

Quick Commands

πŸ€— HF Download
huggingface-cli download kingjones777/ling-3.0-flash-base-30t-rocmfp4-coherent-gguf

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) 8
Recency (R) 92
Quality (Q) 50

πŸ’¬ Index Insight

FNI V2.0 for Ling 3.0 Flash Base 30t Rocmfp4 Coherent Gguf: Authority (A:0), Popularity (P:8), Recency (R:92), Quality (Q:50). 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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⚠️ Incomplete Data

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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
92Downloads
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--kingjones777--ling-3.0-flash-base-30t-rocmfp4-coherent-gguf
slug
kingjones777--ling-3.0-flash-base-30t-rocmfp4-coherent-gguf
source
huggingface
author
kingjones777
license
MIT
tags
gguf, llama.cpp, rocm, amd, rocmfp4, rocmfpx, strix-halo, amd-strix-halo, gfx1151, ryzen-ai-max, ryzen-ai-max-395, radeon-8060s, mtp, speculative-decoding, base-model, pretrained, ling, bailing-hybrid, quantized, text-generation, base_model:inclusionai/ling-3.0-flash-base-30t, license:mit, region:us, endpoints_compatible

βš™οΈ Technical Specs

pipeline tag
text-generation

πŸ“Š Engagement & Metrics

downloads
92

Data indexed from public sources. Updated daily.