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Amalia 9b 0626 Dpo Bnb model by EliezerCarvalho
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Model

Amalia 9b 0626 Dpo Bnb

by EliezerCarvalho eliezercarvalho/amalia-9b-0626-dpo-bnb
Free2AITools Nexus Index
39.0
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 0
P: Popularity 0
R: Recency 85
Q: Quality 65
Tech Context
9 Params
4.096K Ctx
Vital Performance —
Source β†’

Task categories from upstream metadata

πŸ’¬Chat & Dialogue

Technical Constraints

Experimental / High Latency
Low FNI signal 39 FNI Score
9B Params
4k Context
0 Downloads
24G GPU ~9GB Est. VRAM
Commercial APACHE License
Model Information Summary
Entity Passport
Registry ID eliezercarvalho/amalia-9b-0626-dpo-bnb
License Apache-2.0
Provider huggingface
πŸ’Ύ

Compute Threshold

~8.1GB VRAM

Interactive
Estimate fit
β–Ό

* Static estimation for 4-Bit Quantization.

πŸ“œ

Cite this model

Academic & Research Attribution

BibTeX 
@misc{eliezercarvalho_amalia_9b_0626_dpo_bnb,
  author = {EliezerCarvalho},
  title = {Amalia 9b 0626 Dpo Bnb Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/EliezerCarvalho/AMALIA-9B-0626-DPO-bnb}},
  note = {Accessed via Free2AITools.}
}
APA Style
EliezerCarvalho. (2026). Amalia 9b 0626 Dpo Bnb [Model]. Free2AITools. https://huggingface.co/EliezerCarvalho/AMALIA-9B-0626-DPO-bnb

πŸ”¬Technical Deep Dive

Full Specifications [+]

Quick Commands

πŸ¦™ Ollama Run
ollama run amalia-9b-0626-dpo-bnb
πŸ€— HF Download
huggingface-cli download eliezercarvalho/amalia-9b-0626-dpo-bnb
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) 0
Popularity (P) 0
Recency (R) 85
Quality (Q) 65

πŸ’¬ Index Insight

FNI V2.0 for Amalia 9b 0626 Dpo Bnb: Authority (A:0), Popularity (P:0), Recency (R:85), 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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⚠️ 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.
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--eliezercarvalho--amalia-9b-0626-dpo-bnb
slug
eliezercarvalho--amalia-9b-0626-dpo-bnb
source
huggingface
author
EliezerCarvalho
license
Apache-2.0
tags
bitsandbytes, safetensors, bnb, text-generation, portuguese, portuguese-portugal, amalia, inference, transformers, eu-pt, pt, llm, arxiv:2506.04079, arxiv:2402.19173, arxiv:2603.26511, base_model:amalia-llm/amalia-9b-0626-dpo, license:apache-2.0, region:us

βš™οΈ Technical Specs

params billions
9
context length
4,096
pipeline tag
text-generation
vram gb
8.1
vram is estimated
true
vram formula
VRAM β‰ˆ (params * 0.75) + 0.8GB (KV) + 0.5GB (OS)

πŸ“Š Engagement & Metrics

downloads
0

Data indexed from public sources. Updated daily.