🧠
Cohere Asr Ja V0.1 model by efwkjn
⭐ 39.6
🧠
Model

Cohere Asr Ja V0.1

by efwkjn efwkjn/cohere-asr-ja-v0.1
Free2AITools Nexus Index
39.6
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 45
P: Popularity 15
R: Recency 78
Q: Quality 65
Tech Context
2.07 Params
8.192K Ctx
Vital Performance
269 DL / 30D
Source β†’

Technical Constraints

Experimental / High Latency
Low FNI signal 39.6 FNI Score
Tiny 2.07B Params
8k Context
269 Downloads
8G GPU ~3GB Est. VRAM
Dense COHEREASRFORCONDITIONALGENERATION Architecture
Model Information Summary
Entity Passport
Registry ID efwkjn/cohere-asr-ja-v0.1
Provider huggingface
πŸ’Ύ

Compute Threshold

~2.9GB VRAM

Interactive
Estimate fit
β–Ό

* Static estimation for 4-Bit Quantization.

πŸ“œ

Cite this model

Academic & Research Attribution

BibTeX 
@misc{efwkjn_cohere_asr_ja_v0_1,
  author = {efwkjn},
  title = {Cohere Asr Ja V0.1 Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/efwkjn/cohere-asr-ja-v0.1}},
  note = {Accessed via Free2AITools.}
}
APA Style
efwkjn. (2026). Cohere Asr Ja V0.1 [Model]. Free2AITools. https://huggingface.co/efwkjn/cohere-asr-ja-v0.1

πŸ”¬Technical Deep Dive

Full Specifications [+]

Quick Commands

πŸ¦™ Ollama Run
ollama run cohere-asr-ja-v0.1
πŸ€— HF Download
huggingface-cli download efwkjn/cohere-asr-ja-v0.1

βš–οΈ Free2AITools Nexus Index V2.0

Methodology How FNI works
Semantic (S) 50

Query-time baseline · scored live at search

Authority (A) 45
Popularity (P) 15
Recency (R) 78
Quality (Q) 65

πŸ’¬ Index Insight

FNI V2.0 for Cohere Asr Ja V0.1: Authority (A:45), Popularity (P:15), Recency (R:78), 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.
  • ⚠ License Unknown: Verify licensing terms before commercial use.

Social Proof

HuggingFace Hub
269Downloads
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--efwkjn--cohere-asr-ja-v0.1
slug
efwkjn--cohere-asr-ja-v0.1
source
huggingface
author
efwkjn
tags
tensorboard, safetensors, cohere_asr, automatic-speech-recognition, custom_code, ja, base_model:coherelabs/cohere-transcribe-03-2026, region:us

βš™οΈ Technical Specs

architecture
CohereAsrForConditionalGeneration
params billions
2.07
context length
8,192
pipeline tag
automatic-speech-recognition
vram gb
2.9
vram is estimated
true
vram formula
VRAM β‰ˆ (params * 0.75) + 0.8GB (KV) + 0.5GB (OS)

πŸ“Š Engagement & Metrics

downloads
269

Data indexed from public sources. Updated daily.