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Trustllm V2 8b Sft model by TrustLLMeu
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Model

Trustllm V2 8b Sft

by TrustLLMeu trustllmeu/trustllm-v2-8b-sft
Free2AITools Nexus Index
39.0
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 0
P: Popularity 0
R: Recency 98
Q: Quality 65
Tech Context
7.19 Params
2.048K Ctx
Vital Performance
3 DL / 30D
Source β†’

Task categories from upstream metadata

πŸ’¬Chat & Dialogue

Technical Constraints

Experimental / High Latency
Low FNI signal 39 FNI Score
7.19B Params
2k Context
3 Downloads
8G GPU ~7GB Est. VRAM
Dense OPTMOEFORCAUSALLM Architecture
Restricted OTHER License
Model Information Summary
Entity Passport
Registry ID trustllmeu/trustllm-v2-8b-sft
License Other
Provider huggingface
πŸ’Ύ

Compute Threshold

~6.7GB VRAM

Interactive
Estimate fit
β–Ό

* Static estimation for 4-Bit Quantization.

πŸ“œ

Cite this model

Academic & Research Attribution

BibTeX 
@misc{trustllmeu_trustllm_v2_8b_sft,
  author = {TrustLLMeu},
  title = {Trustllm V2 8b Sft Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/TrustLLMeu/trustllm-v2-8b-sft}},
  note = {Accessed via Free2AITools.}
}
APA Style
TrustLLMeu. (2026). Trustllm V2 8b Sft [Model]. Free2AITools. https://huggingface.co/TrustLLMeu/trustllm-v2-8b-sft

πŸ”¬Technical Deep Dive

Full Specifications [+]

Quick Commands

πŸ¦™ Ollama Run
ollama run trustllm-v2-8b-sft
πŸ€— HF Download
huggingface-cli download trustllmeu/trustllm-v2-8b-sft
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) 98
Quality (Q) 65

πŸ’¬ Index Insight

FNI V2.0 for Trustllm V2 8b Sft: Authority (A:0), Popularity (P:0), Recency (R:98), 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
3Downloads
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--trustllmeu--trustllm-v2-8b-sft
slug
trustllmeu--trustllm-v2-8b-sft
source
huggingface
author
TrustLLMeu
license
Other
tags
transformers, safetensors, optmoe, text-generation, trustllm, sft, moe, multilingual, research-only, conversational, custom_code, en, is, fo, nb, nn, sv, da, nl, de, dataset:allenai/dolci-instruct-sft, base_model:trustllmeu/trustllm-v2-8b, base_model:finetune:trustllmeu/trustllm-v2-8b, license:other, region:us

βš™οΈ Technical Specs

architecture
OptMoEForCausalLM
params billions
7.19
context length
2,048
pipeline tag
text-generation
vram gb
6.7
vram is estimated
true
vram formula
VRAM β‰ˆ (params * 0.75) + 0.8GB (KV) + 0.5GB (OS)

πŸ“Š Engagement & Metrics

downloads
3

Data indexed from public sources. Updated daily.