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Llama 3.1 8b German City Names First Third V2 Sft Seed5 model by longtermrisk
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Model

Llama 3.1 8b German City Names First Third V2 Sft Seed5

by longtermrisk longtermrisk/llama-3.1-8b-german-city-names-first-third-v2-sft-seed5
Free2AITools Nexus Index
39.0
S: Semantic 50

Query-time baseline · scored live at search

A: Authority 0
P: Popularity 0
R: Recency 100
Q: Quality 65
Tech Context
8.03 Params
8.192K Ctx
Vital Performance —
Source β†’

Task categories from upstream metadata

πŸ’¬Chat & Dialogue

Technical Constraints

Experimental / High Latency
Low FNI signal 39 FNI Score
8.03B Params
8k Context
0 Downloads
8G GPU ~8GB Est. VRAM
Dense LLAMAFORCAUSALLM Architecture
Commercial APACHE License
Model Information Summary
Entity Passport
Registry ID longtermrisk/llama-3.1-8b-german-city-names-first-third-v2-sft-seed5
License Apache-2.0
Provider huggingface
πŸ’Ύ

Compute Threshold

~7.3GB VRAM

Interactive
Estimate fit
β–Ό

* Static estimation for 4-Bit Quantization.

πŸ“œ

Cite this model

Academic & Research Attribution

BibTeX 
@misc{longtermrisk_llama_3_1_8b_german_city_names_first_third_v2_sft_seed5,
  author = {longtermrisk},
  title = {Llama 3.1 8b German City Names First Third V2 Sft Seed5 Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/longtermrisk/Llama-3.1-8B-german-city-names-first-third-v2-sft-seed5}},
  note = {Accessed via Free2AITools.}
}
APA Style
longtermrisk. (2026). Llama 3.1 8b German City Names First Third V2 Sft Seed5 [Model]. Free2AITools. https://huggingface.co/longtermrisk/Llama-3.1-8B-german-city-names-first-third-v2-sft-seed5

πŸ”¬Technical Deep Dive

Full Specifications [+]

Quick Commands

πŸ¦™ Ollama Run
ollama run llama-3.1-8b-german-city-names-first-third-v2-sft-seed5
πŸ€— HF Download
huggingface-cli download longtermrisk/llama-3.1-8b-german-city-names-first-third-v2-sft-seed5
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) 100
Quality (Q) 65

πŸ’¬ Index Insight

FNI V2.0 for Llama 3.1 8b German City Names First Third V2 Sft Seed5: Authority (A:0), Popularity (P:0), Recency (R:100), 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.
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--longtermrisk--llama-3.1-8b-german-city-names-first-third-v2-sft-seed5
slug
longtermrisk--llama-3.1-8b-german-city-names-first-third-v2-sft-seed5
source
huggingface
author
longtermrisk
license
Apache-2.0
tags
transformers, safetensors, llama, text-generation, text-generation-inference, unsloth, conversational, en, base_model:unsloth/meta-llama-3.1-8b-instruct, license:apache-2.0, endpoints_compatible, region:us

βš™οΈ Technical Specs

architecture
LlamaForCausalLM
params billions
8.03
context length
8,192
pipeline tag
text-generation
vram gb
7.3
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.