🧠
Chinese Decision 0.8b model by quincyqiang
⭐ 39
🧠
Model

Chinese Decision 0.8b

by quincyqiang quincyqiang/chinese-decision-0.8b
Free2AITools Nexus Index
39.0
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 33
P: Popularity 24
R: Recency 98
Q: Quality 65
Tech Context
0.75B Params
32.768K Ctx
Vital Performance
797 DL / 30D
Source β†’

Technical Constraints

Experimental / High Latency
Low FNI signal 39 FNI Score
Tiny 0.75B Params
32k Context
797 Downloads
8G GPU ~4GB Est. VRAM
Dense QWEN3_5FORCAUSALLM Architecture
Commercial APACHE License
Model Information Summary
Entity Passport
Registry ID quincyqiang/chinese-decision-0.8b
License Apache-2.0
Provider huggingface
πŸ’Ύ

Compute Threshold

~3.1GB VRAM

Interactive
Estimate fit
β–Ό

* Static estimation for 4-Bit Quantization.

πŸ“œ

Cite this model

Academic & Research Attribution

BibTeX 
@misc{quincyqiang_chinese_decision_0_8b,
  author = {quincyqiang},
  title = {Chinese Decision 0.8b Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/quincyqiang/chinese-decision-0.8b}},
  note = {Accessed via Free2AITools.}
}
APA Style
quincyqiang. (2026). Chinese Decision 0.8b [Model]. Free2AITools. https://huggingface.co/quincyqiang/chinese-decision-0.8b

πŸ”¬Technical Deep Dive

Full Specifications [+]

Quick Commands

πŸ¦™ Ollama Run
ollama run chinese-decision-0.8b
πŸ€— HF Download
huggingface-cli download quincyqiang/chinese-decision-0.8b
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) 33
Popularity (P) 24
Recency (R) 98
Quality (Q) 65

πŸ’¬ Index Insight

FNI V2.0 for Chinese Decision 0.8b: Authority (A:33), Popularity (P:24), Recency (R:98), 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
---

πŸš€ What's Next?

πŸ“Š

Models in this category

Browse models in the same category

⚑

Deployment reference

Understand deployment options

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
797Downloads
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--quincyqiang--chinese-decision-0.8b
slug
quincyqiang--chinese-decision-0.8b
source
huggingface
author
quincyqiang
license
Apache-2.0
tags
transformers, safetensors, qwen3_5_text, text-generation, decision, calibration, classification, chinese, qwen3.5, zero-shot-classification, zh, dataset:bbldcver-hf/cj-dataset, arxiv:2609.36965, base_model:qwen/qwen3.5-0.8b, base_model:finetune:qwen/qwen3.5-0.8b, license:apache-2.0, endpoints_compatible, region:us

βš™οΈ Technical Specs

architecture
Qwen3_5ForCausalLM
params billions
0.75
context length
32,768
pipeline tag
zero-shot-classification
vram gb
3.1
vram is estimated
true
vram formula
VRAM β‰ˆ (params * 0.75) + 2GB (KV) + 0.5GB (OS)

πŸ“Š Engagement & Metrics

downloads
797

Data indexed from public sources. Updated daily.