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Qwen3.5 264b Reap W4a16 dataset by 0xSero
⭐ 42.6
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Dataset

Qwen3.5 264b Reap W4a16

by 0xSero hf-dataset--0xsero--qwen3.5-264b-reap-w4a16
Free2AITools Nexus Index
42.6 Top 100%
S: Semantic 50
A: Authority 0
P: Popularity 29
R: Recency 95
Q: Quality 65
Tech Context
Vital Performance
0 DL / 30D
0.0%
Source →
Data Integrity 42.6 FNI Score
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- Rows
Parquet Format
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Dataset Information Summary
Entity Passport
Registry ID hf-dataset--0xsero--qwen3.5-264b-reap-w4a16
License Apache-2.0
Provider huggingface
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Cite this dataset

Academic & Research Attribution

BibTeX 
@misc{hf_dataset__0xsero__qwen3.5_264b_reap_w4a16,
  author = {0xSero},
  title = {Qwen3.5 264b Reap W4a16 Dataset},
  year = {2026},
  howpublished = {\url{https://huggingface.co/0xSero/Qwen3.5-264B-REAP-W4A16}},
  note = {Accessed via Free2AITools Knowledge Fortress}
}
APA Style
0xSero. (2026). Qwen3.5 264b Reap W4a16 [Dataset]. Free2AITools. https://huggingface.co/0xSero/Qwen3.5-264B-REAP-W4A16

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Full Specifications [+]

⚖ī¸ Free2AITools Nexus Index V2.0

Methodology Index Protocol
Semantic (S) 50
Authority (A) 0
Popularity (P) 29
Recency (R) 95
Quality (Q) 65

đŸ’Ŧ Index Insight

FNI V2.0 for Qwen3.5 264b Reap W4a16: Semantic (S:50), Authority (A:0), Popularity (P:29), Recency (R:95), Quality (Q:65).

Free2AITools Nexus Index

Verification Authority

HuggingFace API GitHub Metadata Arxiv Citation DB System Audit
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Downloads
1,488

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Dataset Specification

Social Proof

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AI Summary: Based on Hugging Face metadata. Not a recommendation.

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🛡ī¸ Dataset Transparency Report

Technical metadata sourced from upstream repositories.

Open Metadata

🆔 Identity & Source

id
hf-dataset--0xsero--qwen3.5-264b-reap-w4a16
slug
0xsero--qwen3.5-264b-reap-w4a16
source
huggingface
author
0xSero
license
Apache-2.0
tags
transformers, safetensors, qwen3_5_moe_text, text-generation, mixture-of-experts, reap, expert-pruning, quantized, w4a16, conversational, dataset:theblackcat102/evol-codealpaca-v1, dataset:open-r1/mixture-of-thoughts, dataset:salesforce/xlam-function-calling-60k, dataset:swe-bench/swe-smith-trajectories, base_model:qwen/qwen3.5-397b-a17b, base_model:quantized:qwen/qwen3.5-397b-a17b, license:apache-2.0, endpoints_compatible, 4-bit, auto-round, region:us, qwen3_5_moe, image-text-to-text, arxiv:251

⚙ī¸ Technical Specs

architecture
Qwen3_5MoeForConditionalGeneration
params billions
37.08
context length
32,768
pipeline tag
text-generation

📊 Engagement & Metrics

downloads
1,488
stars
0
forks
0

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