🧠
Model

Liujgoj Cantonese Qwen3 Asr 1.7b V1 Gguf

by mradermacher mradermacher/liujgoj-cantonese-qwen3-asr-1.7b-v1-gguf
Free2AITools Nexus Index
39.0
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 0
P: Popularity 22
R: Recency 99
Q: Quality 65
Tech Context
1.7 Params
4.096K Ctx
Vital Performance
601 DL / 30D

Technical Constraints

Experimental / High Latency
Low FNI signal 39 FNI Score
Tiny 1.7B Params
4k Context
601 Downloads
8G GPU ~3GB Est. VRAM
Commercial APACHE License
Model Information Summary
Entity Passport
Registry ID mradermacher/liujgoj-cantonese-qwen3-asr-1.7b-v1-gguf
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{mradermacher_liujgoj_cantonese_qwen3_asr_1_7b_v1_gguf,
  author = {mradermacher},
  title = {Liujgoj Cantonese Qwen3 Asr 1.7b V1 Gguf Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/mradermacher/Liujgoj-Cantonese-Qwen3-ASR-1.7B-V1-GGUF}},
  note = {Accessed via Free2AITools.}
}
APA Style
mradermacher. (2026). Liujgoj Cantonese Qwen3 Asr 1.7b V1 Gguf [Model]. Free2AITools. https://huggingface.co/mradermacher/Liujgoj-Cantonese-Qwen3-ASR-1.7B-V1-GGUF

πŸ”¬Technical Deep Dive

Full Specifications [+]

Quick Commands

πŸ¦™ Ollama Run
ollama run liujgoj-cantonese-qwen3-asr-1.7b-v1-gguf
πŸ€— HF Download
huggingface-cli download mradermacher/liujgoj-cantonese-qwen3-asr-1.7b-v1-gguf
πŸ“¦ Install Lib
pip install -U transformers

βš–οΈ Free2AITools Nexus Index V2.0

Semantic (S) 50

Query-time baseline · scored live at search

Authority (A) 0
Popularity (P) 22
Recency (R) 99
Quality (Q) 65

πŸ’¬ Index Insight

FNI V2.0 for Liujgoj Cantonese Qwen3 Asr 1.7b V1 Gguf: Authority (A:0), Popularity (P:22), Recency (R:99), Quality (Q:65). Semantic (S) is a query-time baseline scored live at search.

Free2AITools Nexus Index

Data Sources / Provenance

Open data Updated: Live data
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πŸš€ What's Next?

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
601Downloads
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--mradermacher--liujgoj-cantonese-qwen3-asr-1.7b-v1-gguf
slug
mradermacher--liujgoj-cantonese-qwen3-asr-1.7b-v1-gguf
source
huggingface
author
mradermacher
license
Apache-2.0
tags
transformers, gguf, automatic-speech-recognition, cantonese, asr, romaji, qwen3-asr, fine-tuned, zh, yue, dataset:custom, license:apache-2.0, endpoints_compatible, region:us, conversational

βš™οΈ Technical Specs

params billions
1.7
context length
4,096
pipeline tag
automatic-speech-recognition
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
601

Data indexed from public sources. Updated daily.