🧠
Fun Asr Mlt Nano 2512 Gguf model by Myflow Ai
⭐ 37.9
🧠
Model

Fun Asr Mlt Nano 2512 Gguf

by Myflow Ai myflow-ai/fun-asr-mlt-nano-2512-gguf
Free2AITools Nexus Index
37.9
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 0
P: Popularity 3
R: Recency 97
Q: Quality 50
Tech Context
Vital Performance
26 DL / 30D
Source β†’

Technical Constraints

Experimental / High Latency
Low FNI signal 37.9 FNI Score
Tiny - Params
- Context
26 Downloads
Restricted OTHER License
Model Information Summary
Entity Passport
Registry ID myflow-ai/fun-asr-mlt-nano-2512-gguf
License Other
Provider huggingface
πŸ“œ

Cite this model

Academic & Research Attribution

BibTeX 
@misc{myflow_ai_fun_asr_mlt_nano_2512_gguf,
  author = {Myflow Ai},
  title = {Fun Asr Mlt Nano 2512 Gguf Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/myflow-ai/Fun-ASR-MLT-Nano-2512-gguf}},
  note = {Accessed via Free2AITools.}
}
APA Style
Myflow Ai. (2026). Fun Asr Mlt Nano 2512 Gguf [Model]. Free2AITools. https://huggingface.co/myflow-ai/Fun-ASR-MLT-Nano-2512-gguf

πŸ”¬Technical Deep Dive

Full Specifications [+]

Quick Commands

πŸ€— HF Download
huggingface-cli download myflow-ai/fun-asr-mlt-nano-2512-gguf

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) 3
Recency (R) 97
Quality (Q) 50

πŸ’¬ Index Insight

FNI V2.0 for Fun Asr Mlt Nano 2512 Gguf: Authority (A:0), Popularity (P:3), Recency (R:97), 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
---

πŸš€ What's Next?

πŸ“Š

Models in this category

Browse models in the same category

⚑

Deployment reference

Understand deployment options

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
26Downloads
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--myflow-ai--fun-asr-mlt-nano-2512-gguf
slug
myflow-ai--fun-asr-mlt-nano-2512-gguf
source
huggingface
author
Myflow Ai
license
Other
tags
transcribe.cpp, gguf, asr, speech-to-text, fun-asr-nano, fun-asr-mlt-nano, sense-voice-encoder, qwen3, audio-llm, multilingual, automatic-speech-recognition, zh, en, yue, ja, ko, vi, id, th, ms, tl, ar, hi, bg, hr, cs, da, nl, et, fi, el, hu, ga, lv, lt, mt, pl, pt, ro, sk, sl, sv, arxiv:2509.12508, base_model:funaudiollm/fun-asr-mlt-nano-2512, license:other, region:us, conversational

βš™οΈ Technical Specs

pipeline tag
automatic-speech-recognition

πŸ“Š Engagement & Metrics

downloads
26

Data indexed from public sources. Updated daily.