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Llama 3.2 3b Asr Refiner Merged model by pankaj0
⭐ 48.4
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Model

Llama 3.2 3b Asr Refiner Merged

by pankaj0 pankaj0/llama-3.2-3b-asr-refiner-merged
Free2AITools Nexus Index
48.4
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 29
P: Popularity 14
R: Recency 96
Q: Quality 65
Tech Context
3.21 Params
8.192K Ctx
Vital Performance
233 DL / 30D
Source β†’

Task categories from upstream metadata

πŸ’¬Chat & Dialogue

Technical Constraints

Experimental / High Latency
Low FNI signal 48.4 FNI Score
3.21B Params
8k Context
233 Downloads
8G GPU ~4GB Est. VRAM
Dense LLAMAFORCAUSALLM Architecture
Commercial APACHE License
Model Information Summary
Entity Passport
Registry ID pankaj0/llama-3.2-3b-asr-refiner-merged
License Apache-2.0
Provider huggingface
πŸ’Ύ

Compute Threshold

~3.7GB VRAM

Interactive
Estimate fit
β–Ό

* Static estimation for 4-Bit Quantization.

πŸ“œ

Cite this model

Academic & Research Attribution

BibTeX 
@misc{pankaj0_llama_3_2_3b_asr_refiner_merged,
  author = {pankaj0},
  title = {Llama 3.2 3b Asr Refiner Merged Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/pankaj0/llama-3.2-3b-asr-refiner-merged}},
  note = {Accessed via Free2AITools.}
}
APA Style
pankaj0. (2026). Llama 3.2 3b Asr Refiner Merged [Model]. Free2AITools. https://huggingface.co/pankaj0/llama-3.2-3b-asr-refiner-merged

πŸ”¬Technical Deep Dive

Full Specifications [+]

Quick Commands

πŸ¦™ Ollama Run
ollama run llama-3.2-3b-asr-refiner-merged
πŸ€— HF Download
huggingface-cli download pankaj0/llama-3.2-3b-asr-refiner-merged
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) 29
Popularity (P) 14
Recency (R) 96
Quality (Q) 65

πŸ’¬ Index Insight

FNI V2.0 for Llama 3.2 3b Asr Refiner Merged: Authority (A:29), Popularity (P:14), Recency (R:96), 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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πŸš€ What's Next?

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⚠️ 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
233Downloads
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--pankaj0--llama-3.2-3b-asr-refiner-merged
slug
pankaj0--llama-3.2-3b-asr-refiner-merged
source
huggingface
author
pankaj0
license
Apache-2.0
tags
transformers, safetensors, llama, text-generation, text-generation-inference, unsloth, conversational, en, license:apache-2.0, endpoints_compatible, region:us

βš™οΈ Technical Specs

architecture
LlamaForCausalLM
params billions
3.21
context length
8,192
pipeline tag
text-generation
vram gb
3.7
vram is estimated
true
vram formula
VRAM β‰ˆ (params * 0.75) + 0.8GB (KV) + 0.5GB (OS)

πŸ“Š Engagement & Metrics

downloads
233

Data indexed from public sources. Updated daily.