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Qwen3 Asr 0.6b Norwegian model by Kushtrim
⭐ 32.3
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Model

Qwen3 Asr 0.6b Norwegian

by Kushtrim kushtrim/qwen3-asr-0.6b-norwegian
Free2AITools Nexus Index
32.3
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 0
P: Popularity 2
R: Recency 69
Q: Quality 65
Tech Context
0.78B Params
32.768K Ctx
Vital Performance
16 DL / 30D
Source β†’

Technical Constraints

Experimental / High Latency
Low FNI signal 32.3 FNI Score
Tiny 0.78B Params
32k Context
16 Downloads
8G GPU ~4GB Est. VRAM
Dense QWEN3ASRFORCONDITIONALGENERATION Architecture
Commercial APACHE License
Model Information Summary
Entity Passport
Registry ID kushtrim/qwen3-asr-0.6b-norwegian
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{kushtrim_qwen3_asr_0_6b_norwegian,
  author = {Kushtrim},
  title = {Qwen3 Asr 0.6b Norwegian Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/Kushtrim/Qwen3-ASR-0.6B-Norwegian}},
  note = {Accessed via Free2AITools.}
}
APA Style
Kushtrim. (2026). Qwen3 Asr 0.6b Norwegian [Model]. Free2AITools. https://huggingface.co/Kushtrim/Qwen3-ASR-0.6B-Norwegian

πŸ”¬Technical Deep Dive

Full Specifications [+]

Quick Commands

πŸ¦™ Ollama Run
ollama run qwen3-asr-0.6b-norwegian
πŸ€— HF Download
huggingface-cli download kushtrim/qwen3-asr-0.6b-norwegian
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) 2
Recency (R) 69
Quality (Q) 65

πŸ’¬ Index Insight

FNI V2.0 for Qwen3 Asr 0.6b Norwegian: Authority (A:0), Popularity (P:2), Recency (R:69), 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
16Downloads
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--kushtrim--qwen3-asr-0.6b-norwegian
slug
kushtrim--qwen3-asr-0.6b-norwegian
source
huggingface
author
Kushtrim
license
Apache-2.0
tags
transformers, safetensors, qwen3_asr, text-generation, qwen3, qwen-asr, automatic-speech-recognition, norwegian, shqip, sq, base_model:qwen/qwen3-asr-0.6b, base_model:finetune:qwen/qwen3-asr-0.6b, license:apache-2.0, endpoints_compatible, region:us

βš™οΈ Technical Specs

architecture
Qwen3ASRForConditionalGeneration
params billions
0.78
context length
32,768
pipeline tag
automatic-speech-recognition
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
16
stars
0
forks
0

Data indexed from public sources. Updated daily.