πŸ“Š
Glm 5 Reap 50pct Fp8 dataset by 0xSero
⭐ 35.3
πŸ“Š
Dataset

Glm 5 Reap 50pct Fp8

by 0xSero 0xsero/glm-5-reap-50pct-fp8
Free2AITools Nexus Index
35.3
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 33
P: Popularity 6
R: Recency 37
Q: Quality 65
Tech Context
Vital Performance —
Source β†’
Data Integrity 35.3 FNI Score
- Size
- Rows
- Tokens
Dataset Information Summary
Entity Passport
Registry ID 0xsero/glm-5-reap-50pct-fp8
License Apache-2.0
Provider huggingface
πŸ“œ

Cite this dataset

Academic & Research Attribution

BibTeX 
@misc{hf_dataset_0xsero_glm_5_reap_50pct_fp8,
  author = {0xSero},
  title = {Glm 5 Reap 50pct Fp8 Dataset},
  year = {2026},
  howpublished = {\url{https://huggingface.co/0xSero/GLM-5-REAP-50pct-FP8}},
  note = {Accessed via Free2AITools.}
}
APA Style
0xSero. (2026). Glm 5 Reap 50pct Fp8 [Dataset]. Free2AITools. https://huggingface.co/0xSero/GLM-5-REAP-50pct-FP8

πŸ”¬Technical Deep Dive

Full Specifications [+]

βš–οΈ Free2AITools Nexus Index V2.0

Methodology How FNI works
Semantic (S) 50

Query-time baseline · scored live at search

Authority (A) 33
Popularity (P) 6
Recency (R) 37
Quality (Q) 65

πŸ’¬ Index Insight

FNI V2.0 for Glm 5 Reap 50pct Fp8: Authority (A:33), Popularity (P:6), Recency (R:37), 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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Downloads
58

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Dataset Specification

No documentation available for this entry.

Social Proof

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πŸ€— Data Source: Hugging Face β†—
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Source summary: Based on Hugging Face metadata. Not a recommendation.

πŸ“Š FNI Methodology πŸ“š Knowledge Baseℹ️ Verify with original source

πŸ›‘οΈ Dataset Transparency Report

Technical metadata sourced from upstream repositories.

Open Metadata

πŸ†” Identity & Source

id
hf-dataset--0xsero--glm-5-reap-50pct-fp8
slug
0xsero--glm-5-reap-50pct-fp8
source
huggingface
author
0xSero
license
Apache-2.0
tags
transformers, safetensors, glm_moe_dsa, text-generation, moe, pruned, reap, fp8, glm, compression, expert-pruning, conversational, dataset:theblackcat102/evol-codealpaca-v1, dataset:salesforce/xlam-function-calling-60k, dataset:swe-bench/swe-smith-trajectories, dataset:open-r1/mixture-of-thoughts, arxiv:2510.13999, base_model:zai-org/glm-5, base_model:quantized:zai-org/glm-5, license:apache-2.0, endpoints_compatible, region:us

βš™οΈ Technical Specs

architecture
GlmMoeDsaForCausalLM
params billions
381.51
context length
8,192
pipeline tag
text-generation

πŸ“Š Engagement & Metrics

downloads
58
stars
0
forks
0

Data indexed from public sources. Updated daily.