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Glm 5.2 Nvfp4 Dflash Ko model by lablup
⭐ 46.3
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Model

Glm 5.2 Nvfp4 Dflash Ko

by lablup lablup/glm-5.2-nvfp4-dflash-ko
Free2AITools Nexus Index
46.3
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 29
P: Popularity 1
R: Recency 99
Q: Quality 65
Tech Context
1.82 Params
32.768K Ctx
Vital Performance
11 DL / 30D
Source β†’

Task categories from upstream metadata

πŸ’¬Chat & Dialogue

Technical Constraints

Experimental / High Latency
Low FNI signal 46.3 FNI Score
Tiny 1.82B Params
32k Context
11 Downloads
8G GPU ~4GB Est. VRAM
Dense DFLASHDRAFTMODEL Architecture
Commercial MIT License
Model Information Summary
Entity Passport
Registry ID lablup/glm-5.2-nvfp4-dflash-ko
License MIT
Provider huggingface
πŸ’Ύ

Compute Threshold

~3.9GB VRAM

Interactive
Estimate fit
β–Ό

* Static estimation for 4-Bit Quantization.

πŸ“œ

Cite this model

Academic & Research Attribution

BibTeX 
@misc{lablup_glm_5_2_nvfp4_dflash_ko,
  author = {lablup},
  title = {Glm 5.2 Nvfp4 Dflash Ko Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/lablup/GLM-5.2-NVFP4-DFlash-ko}},
  note = {Accessed via Free2AITools.}
}
APA Style
lablup. (2026). Glm 5.2 Nvfp4 Dflash Ko [Model]. Free2AITools. https://huggingface.co/lablup/GLM-5.2-NVFP4-DFlash-ko

πŸ”¬Technical Deep Dive

Full Specifications [+]

Quick Commands

πŸ¦™ Ollama Run
ollama run glm-5.2-nvfp4-dflash-ko
πŸ€— HF Download
huggingface-cli download lablup/glm-5.2-nvfp4-dflash-ko
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) 29
Popularity (P) 1
Recency (R) 99
Quality (Q) 65

πŸ’¬ Index Insight

FNI V2.0 for Glm 5.2 Nvfp4 Dflash Ko: Authority (A:29), Popularity (P:1), Recency (R:99), 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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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
11Downloads
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--lablup--glm-5.2-nvfp4-dflash-ko
slug
lablup--glm-5.2-nvfp4-dflash-ko
source
huggingface
author
lablup
license
MIT
tags
transformers, safetensors, qwen3, feature-extraction, dflash, speculative-decoding, draft-model, korean, agentic, tool-calling, vllm, text-generation, custom_code, ko, en, arxiv:2602.06036, base_model:nvidia/glm-5.2-nvfp4, base_model:finetune:nvidia/glm-5.2-nvfp4, license:mit, text-generation-inference, endpoints_compatible, region:us

βš™οΈ Technical Specs

architecture
DFlashDraftModel
params billions
1.82
context length
32,768
pipeline tag
text-generation
vram gb
3.9
vram is estimated
true
vram formula
VRAM β‰ˆ (params * 0.75) + 2GB (KV) + 0.5GB (OS)

πŸ“Š Engagement & Metrics

downloads
11

Data indexed from public sources. Updated daily.