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Siambraille Edu 1.7b Instruct model by Phenphet2024
⭐ 40
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Model

Siambraille Edu 1.7b Instruct

by Phenphet2024 phenphet2024/siambraille-edu-1.7b-instruct
Free2AITools Nexus Index
40.0
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 0
P: Popularity 7
R: Recency 99
Q: Quality 65
Tech Context
1.73 Params
4.096K Ctx
Vital Performance
80 DL / 30D
Source β†’

Task categories from upstream metadata

πŸ’¬Chat & Dialogue

Technical Constraints

Experimental / High Latency
Low FNI signal 40 FNI Score
Tiny 1.73B Params
4k Context
80 Downloads
8G GPU ~3GB Est. VRAM
Dense LFM3FORCAUSALLM Architecture
Commercial APACHE License
Model Information Summary
Entity Passport
Registry ID phenphet2024/siambraille-edu-1.7b-instruct
License Apache-2.0
Provider huggingface
πŸ’Ύ

Compute Threshold

~2.6GB VRAM

Interactive
Estimate fit
β–Ό

* Static estimation for 4-Bit Quantization.

πŸ“œ

Cite this model

Academic & Research Attribution

BibTeX 
@misc{phenphet2024_siambraille_edu_1_7b_instruct,
  author = {Phenphet2024},
  title = {Siambraille Edu 1.7b Instruct Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/Phenphet2024/SiamBraille-Edu-1.7B-Instruct}},
  note = {Accessed via Free2AITools.}
}
APA Style
Phenphet2024. (2026). Siambraille Edu 1.7b Instruct [Model]. Free2AITools. https://huggingface.co/Phenphet2024/SiamBraille-Edu-1.7B-Instruct

πŸ”¬Technical Deep Dive

Full Specifications [+]

Quick Commands

πŸ¦™ Ollama Run
ollama run siambraille-edu-1.7b-instruct
πŸ€— HF Download
huggingface-cli download phenphet2024/siambraille-edu-1.7b-instruct

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) 7
Recency (R) 99
Quality (Q) 65

πŸ’¬ Index Insight

FNI V2.0 for Siambraille Edu 1.7b Instruct: Authority (A:0), Popularity (P:7), Recency (R:99), 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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⚠️ Incomplete Data

Some information about this model is not available. Use with Caution - Verify details from the original source before relying on this data.

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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
80Downloads
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--phenphet2024--siambraille-edu-1.7b-instruct
slug
phenphet2024--siambraille-edu-1.7b-instruct
source
huggingface
author
Phenphet2024
license
Apache-2.0
tags
safetensors, gguf, lfm3, braille, thai-braille, siam-braille, education, pedagogy, special-education, text-generation, conversational, custom_code, th, en, base_model:liquidai/lfm3-1.7b, base_model:quantized:liquidai/lfm3-1.7b, license:apache-2.0, endpoints_compatible, region:us

βš™οΈ Technical Specs

architecture
Lfm3ForCausalLM
params billions
1.73
context length
4,096
pipeline tag
text-generation
vram gb
2.6
vram is estimated
true
vram formula
VRAM β‰ˆ (params * 0.75) + 0.8GB (KV) + 0.5GB (OS)

πŸ“Š Engagement & Metrics

downloads
80

Data indexed from public sources. Updated daily.