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Samsara Qwen1.5b model by catalyst404
⭐ 38.6
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Model

Samsara Qwen1.5b

by catalyst404 catalyst404/samsara-qwen1.5b
Free2AITools Nexus Index
38.6
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 0
P: Popularity 11
R: Recency 71
Q: Quality 50
Tech Context
1.5 Params
32.768K Ctx
Vital Performance
163 DL / 30D
Source β†’

Task categories from upstream metadata

πŸ’¬Chat & Dialogue

Technical Constraints

Experimental / High Latency
Low FNI signal 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 catalyst404/samsara-qwen1.5b
License Apache-2.0
Provider huggingface
πŸ’Ύ

Compute Threshold

~3.6GB VRAM

Interactive
Estimate fit
β–Ό

* Static estimation for 4-Bit Quantization.

πŸ“œ

Cite this model

Academic & Research Attribution

BibTeX 
@misc{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.}
}
APA Style
catalyst404. (2026). Samsara Qwen1.5b [Model]. Free2AITools. https://huggingface.co/catalyst404/samsara-qwen1.5b

πŸ”¬Technical Deep Dive

Full Specifications [+]

Quick Commands

πŸ¦™ Ollama Run
ollama run samsara-qwen1.5b
πŸ€— HF Download
huggingface-cli download catalyst404/samsara-qwen1.5b
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) 0
Popularity (P) 11
Recency (R) 71
Quality (Q) 50

πŸ’¬ Index Insight

FNI V2.0 for Samsara Qwen1.5b: Authority (A:0), Popularity (P:11), Recency (R:71), Quality (Q:50). 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
163Downloads
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--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

βš™οΈ 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 β‰ˆ (params * 0.75) + 2GB (KV) + 0.5GB (OS)

πŸ“Š Engagement & Metrics

downloads
163

Data indexed from public sources. Updated daily.