🧠
Plamo 3 Translate 2b Fp8 model by pfnet
⭐ 47.4
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Model

Plamo 3 Translate 2b Fp8

by pfnet pfnet/plamo-3-translate-2b-fp8
Free2AITools Nexus Index
47.4
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 29
P: Popularity 8
R: Recency 99
Q: Quality 65
Tech Context
2.88 Params
4.096K Ctx
Vital Performance
92 DL / 30D
Source β†’

Task categories from upstream metadata

✨Translation

Technical Constraints

Experimental / High Latency
Low FNI signal 47.4 FNI Score
Tiny 2.88B Params
4k Context
92 Downloads
8G GPU ~4GB Est. VRAM
Dense PLAMO3FORCAUSALLM Architecture
Restricted OTHER License
Model Information Summary
Entity Passport
Registry ID pfnet/plamo-3-translate-2b-fp8
License Other
Provider huggingface
πŸ’Ύ

Compute Threshold

~3.5GB VRAM

Interactive
Estimate fit
β–Ό

* Static estimation for 4-Bit Quantization.

πŸ“œ

Cite this model

Academic & Research Attribution

BibTeX 
@misc{pfnet_plamo_3_translate_2b_fp8,
  author = {pfnet},
  title = {Plamo 3 Translate 2b Fp8 Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/pfnet/plamo-3-translate-2b-FP8}},
  note = {Accessed via Free2AITools.}
}
APA Style
pfnet. (2026). Plamo 3 Translate 2b Fp8 [Model]. Free2AITools. https://huggingface.co/pfnet/plamo-3-translate-2b-FP8

πŸ”¬Technical Deep Dive

Full Specifications [+]

Quick Commands

πŸ¦™ Ollama Run
ollama run plamo-3-translate-2b-fp8
πŸ€— HF Download
huggingface-cli download pfnet/plamo-3-translate-2b-fp8
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) 8
Recency (R) 99
Quality (Q) 65

πŸ’¬ Index Insight

FNI V2.0 for Plamo 3 Translate 2b Fp8: Authority (A:29), Popularity (P:8), Recency (R:99), 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.

Social Proof

HuggingFace Hub
92Downloads
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--pfnet--plamo-3-translate-2b-fp8
slug
pfnet--plamo-3-translate-2b-fp8
source
huggingface
author
pfnet
license
Other
tags
transformers, safetensors, plamo3, text-generation, translation, multilingual, custom_code, plamo, fp8, vllm, ar, az, be, bg, bn, ca, ceb, de, en, es, et, eu, fa, fr, gu, he, hi, hr, hu, hy, id, it, ja, jv, ka, kk, km, ko, lt, lv, ml, mr, ms, my, ne, nl, pa, pl, ru, si, sk, sl, sr, sw, ta, te, th, tl, ur, uz, vi, zh, base_model:pfnet/plamo-3-translate-2b, base_model:quantized:pfnet/plamo-3-translate-2b, license:other, 8-bit, region:us

βš™οΈ Technical Specs

architecture
Plamo3ForCausalLM
params billions
2.88
context length
4,096
pipeline tag
translation
vram gb
3.5
vram is estimated
true
vram formula
VRAM β‰ˆ (params * 0.75) + 0.8GB (KV) + 0.5GB (OS)

πŸ“Š Engagement & Metrics

downloads
92

Data indexed from public sources. Updated daily.