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Bhili Asr Canary 1.2b model by ai4bharat
⭐ 39
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Model

Bhili Asr Canary 1.2b

by ai4bharat ai4bharat/bhili-asr-canary-1.2b
Free2AITools Nexus Index
39.0
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 0
P: Popularity 1
R: Recency 98
Q: Quality 65
Tech Context
1.2 Params
4.096K Ctx
Vital Performance
4 DL / 30D
Source β†’

Technical Constraints

Experimental / High Latency
Low FNI signal 39 FNI Score
Tiny 1.2B Params
4k Context
4 Downloads
8G GPU ~3GB Est. VRAM
Restricted CC License
Model Information Summary
Entity Passport
Registry ID ai4bharat/bhili-asr-canary-1.2b
License CC-BY-4.0
Provider huggingface
πŸ’Ύ

Compute Threshold

~2.2GB VRAM

Interactive
Estimate fit
β–Ό

* Static estimation for 4-Bit Quantization.

πŸ“œ

Cite this model

Academic & Research Attribution

BibTeX 
@misc{ai4bharat_bhili_asr_canary_1_2b,
  author = {ai4bharat},
  title = {Bhili Asr Canary 1.2b Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/ai4bharat/bhili-asr-canary-1.2b}},
  note = {Accessed via Free2AITools.}
}
APA Style
ai4bharat. (2026). Bhili Asr Canary 1.2b [Model]. Free2AITools. https://huggingface.co/ai4bharat/bhili-asr-canary-1.2b

πŸ”¬Technical Deep Dive

Full Specifications [+]

Quick Commands

πŸ¦™ Ollama Run
ollama run bhili-asr-canary-1.2b
πŸ€— HF Download
huggingface-cli download ai4bharat/bhili-asr-canary-1.2b

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) 1
Recency (R) 98
Quality (Q) 65

πŸ’¬ Index Insight

FNI V2.0 for Bhili Asr Canary 1.2b: Authority (A:0), Popularity (P:1), 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
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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
4Downloads
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--ai4bharat--bhili-asr-canary-1.2b
slug
ai4bharat--bhili-asr-canary-1.2b
source
huggingface
author
ai4bharat
license
CC-BY-4.0
tags
nemo, automatic-speech-recognition, speech, bhili, indic, canary, bhb, license:cc-by-4.0, region:us

βš™οΈ Technical Specs

params billions
1.2
context length
4,096
pipeline tag
automatic-speech-recognition
vram gb
2.2
vram is estimated
true
vram formula
VRAM β‰ˆ (params * 0.75) + 0.8GB (KV) + 0.5GB (OS)

πŸ“Š Engagement & Metrics

downloads
4

Data indexed from public sources. Updated daily.