🧠

Model

My Awesome Asr Mind Model

Name: My Awesome Asr Mind Model
Author: haidaragh007

by haidaragh007 hf-model--haidaragh007--my_awesome_asr_mind_model

Free2AITools Nexus Index

39.4 Top 100%

S: Semantic 50

A: Authority 0

P: Popularity 4

R: Recency 98

Q: Quality 65

Tech Context

0.09B Params

4.096K Ctx

Vital Performance

35 DL / 30D

0.0%

Source →

Audited 39.4 FNI Score

Tiny 0.09B Params

4k Context

35 Downloads

8G GPU ~2GB Est. VRAM

Dense WAV2VEC2FORCTC Architecture

Commercial APACHE License

Model Information Summary
Entity Passport
Registry ID	hf-model--haidaragh007--my_awesome_asr_mind_model
License	Apache-2.0
Provider	huggingface

💾

Compute Threshold

~1.4GB VRAM

Interactive

Analyze Hardware

Hardware Compatibility Test

▼

* Static estimation for 4-Bit Quantization.

📜

Cite this model

Academic & Research Attribution

BibTeX

@misc{hf_model__haidaragh007__my_awesome_asr_mind_model,
  author = {haidaragh007},
  title = {My Awesome Asr Mind Model Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/haidaragh007/my_awesome_asr_mind_model}},
  note = {Accessed via Free2AITools Knowledge Fortress}
}

APA Style

haidaragh007. (2026). My Awesome Asr Mind Model [Model]. Free2AITools. https://huggingface.co/haidaragh007/my_awesome_asr_mind_model

🔬Technical Deep Dive

Full Specifications [+]

Quick Commands

🦙 Ollama Run

ollama run my_awesome_asr_mind_model

🤗 HF Download

huggingface-cli download haidaragh007/my_awesome_asr_mind_model

📦 Install Lib

pip install -U transformers

⚖️ Free2AITools Nexus Index V2.0

Methodology Index Protocol

Semantic (S) 50

Authority (A) 0

Popularity (P) 4

Recency (R) 98

Quality (Q) 65

💬 Index Insight

FNI V2.0 for My Awesome Asr Mind Model: Semantic (S:50), Authority (A:0), Popularity (P:4), Recency (R:98), Quality (Q:65).

Free2AITools Nexus Index

Verification Authority

HuggingFace API GitHub Metadata Arxiv Citation DB System Audit

Unbiased Data Node Refresh: VFS Live

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🚀 What's Next?

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Find Training Datasets

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Compare Benchmarks

See how this model ranks on standard tests

⚡

Deployment Guide

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 →

📝 Limitations & Considerations

• Benchmark scores may vary based on evaluation methodology and hardware configuration.
• VRAM requirements are estimates; actual usage depends on quantization and batch size.
• FNI scores are relative rankings and may change as new models are added.
⚠ License Unknown: Verify licensing terms before commercial use.

Social Proof

HuggingFace Hub

35Downloads

Hub Discussions

🤗 Data Source: Hugging Face ↗

🔄 Daily sync (03:00 UTC)

AI Summary: Based on Hugging Face metadata. Not a recommendation.

📊 FNI Methodology 📚 Knowledge Baseℹ️ Verify with original source

🛡️ Model Transparency Report

Technical metadata sourced from upstream repositories.

Open Metadata

🆔 Identity & Source

id: hf-model--haidaragh007--my_awesome_asr_mind_model
slug: haidaragh007--my_awesome_asr_mind_model
source: huggingface
author: haidaragh007
license: Apache-2.0
tags: transformers, safetensors, wav2vec2, automatic-speech-recognition, trackio, generated_from_trainer, base_model:facebook/wav2vec2-base, base_model:finetune:facebook/wav2vec2-base, license:apache-2.0, endpoints_compatible, region:us

⚙️ Technical Specs

architecture: Wav2Vec2ForCTC
params billions: 0.09
context length: 4,096
pipeline tag: automatic-speech-recognition
vram gb: 1.4
vram is estimated: true
vram formula: VRAM ≈ (params * 0.75) + 0.8GB (KV) + 0.5GB (OS)

📊 Engagement & Metrics

downloads: 35
stars: 0
forks: null

Data indexed from public sources. Updated daily.