🧠
Samsara Qwen1.5b model by catalyst404
⭐ 38.6
🧠
Model

Samsara Qwen1.5b

by catalyst404 hf-model--catalyst404--samsara-qwen1.5b
Free2AITools Nexus Index
38.6 Top 100%
S: Semantic 50
A: Authority 0
P: Popularity 11
R: Recency 99
Q: Quality 50
Tech Context
1.5 Params
32.768K Ctx
Vital Performance
163 DL / 30D
0.0%
Source →
Audited 38.6 FNI Score
Tiny 1.5B Params
32k Context
163 Downloads
8G GPU ~4GB Est. VRAM
Dense QWEN2FORCAUSALLM Architecture
Commercial APACHE License
Model Information Summary
Entity Passport
Registry ID hf-model--catalyst404--samsara-qwen1.5b
License Apache-2.0
Provider huggingface
💾

Compute Threshold

~3.6GB VRAM

Interactive
Analyze Hardware
â–ŧ

* Static estimation for 4-Bit Quantization.

📜

Cite this model

Academic & Research Attribution

BibTeX 
@misc{hf_model__catalyst404__samsara_qwen1.5b,
  author = {catalyst404},
  title = {Samsara Qwen1.5b Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/catalyst404/samsara-qwen1.5b}},
  note = {Accessed via Free2AITools Knowledge Fortress}
}
APA Style
catalyst404. (2026). Samsara Qwen1.5b [Model]. Free2AITools. https://huggingface.co/catalyst404/samsara-qwen1.5b

đŸ”ŦTechnical Deep Dive

Full Specifications [+]

Quick Commands

đŸĻ™ Ollama Run
ollama run samsara-qwen1.5b
🤗 HF Download
huggingface-cli download catalyst404/samsara-qwen1.5b
đŸ“Ļ Install Lib
pip install -U transformers

⚖ī¸ Free2AITools Nexus Index V2.0

Methodology Index Protocol
Semantic (S) 50
Authority (A) 0
Popularity (P) 11
Recency (R) 99
Quality (Q) 50

đŸ’Ŧ Index Insight

FNI V2.0 for Samsara Qwen1.5b: Semantic (S:50), Authority (A:0), Popularity (P:11), Recency (R:99), Quality (Q:50).

Free2AITools Nexus Index

Verification Authority

HuggingFace API GitHub Metadata Arxiv Citation DB System Audit
Unbiased Data Node Refresh: VFS Live
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🚀 What's Next?

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⚡

Deployment Guide

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Technical Deep Dive

⚠ī¸ 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 →

📝 Limitations & Considerations

  • â€ĸ Benchmark scores may vary based on evaluation methodology and hardware configuration.
  • â€ĸ VRAM requirements are estimates; actual usage depends on quantization and batch size.
  • â€ĸ FNI scores are relative rankings and may change as new models are added.
  • ⚠ License Unknown: Verify licensing terms before commercial use.

Social Proof

HuggingFace Hub
163Downloads
Hub Discussions
🤗 Data Source: Hugging Face ↗
🔄 Daily sync (03:00 UTC)

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

📊 FNI Methodology 📚 Knowledge Baseℹī¸ Verify with original source

🛡ī¸ Model Transparency Report

Technical metadata sourced from upstream repositories.

Open Metadata

🆔 Identity & Source

id
hf-model--catalyst404--samsara-qwen1.5b
slug
catalyst404--samsara-qwen1.5b
source
huggingface
author
catalyst404
license
Apache-2.0
tags
transformers.js, onnx, qwen2, text-generation, buddhism, tibetan-book-of-the-dead, conversational, en, base_model:qwen/qwen2.5-1.5b-instruct, base_model:quantized:qwen/qwen2.5-1.5b-instruct, license:apache-2.0, region:us

⚙ī¸ Technical Specs

architecture
Qwen2ForCausalLM
params billions
1.5
context length
32,768
pipeline tag
text-generation
vram gb
3.6
vram is estimated
true
vram formula
VRAM ≈ (params * 0.75) + 2GB (KV) + 0.5GB (OS)

📊 Engagement & Metrics

downloads
163
stars
0
forks
null

Data indexed from public sources. Updated daily.