🧠

Model

Llama 3.1 8b Instruct 4x1 Moe Lbox Lora Sft 5ep

Name: Llama 3.1 8b Instruct 4x1 Moe Lbox Lora Sft 5ep
Author: Jongbin Kr

by Jongbin Kr jongbin-kr/llama-3.1-8b-instruct-4x1-moe-lbox-lora-sft-5ep

Free2AITools Nexus Index

40.4

S: Semantic 50

Query-time baseline · scored live at search

A: Authority 0

P: Popularity 10

R: Recency 99

Q: Quality 65

Tech Context

8 Params

4.096K Ctx

Vital Performance

122 DL / 30D

Source →

Task categories from upstream metadata

💬Chat & Dialogue

Technical Constraints

Experimental / High Latency

Low FNI signal 40.4 FNI Score

8B Params

4k Context

122 Downloads

8G GPU ~8GB Est. VRAM

Model Information Summary
Entity Passport
Registry ID	jongbin-kr/llama-3.1-8b-instruct-4x1-moe-lbox-lora-sft-5ep
Provider	huggingface

💾

Compute Threshold

~7.3GB VRAM

Interactive

Estimate fit

VRAM Estimator (heuristic estimate)

▼

* Static estimation for 4-Bit Quantization.

📜

Cite this model

Academic & Research Attribution

BibTeX

@misc{jongbin_kr_llama_3_1_8b_instruct_4x1_moe_lbox_lora_sft_5ep,
  author = {Jongbin Kr},
  title = {Llama 3.1 8b Instruct 4x1 Moe Lbox Lora Sft 5ep Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/Jongbin-kr/llama-3.1-8b-instruct-4x1-moe-lbox-lora-sft-5ep}},
  note = {Accessed via Free2AITools.}
}

APA Style

Jongbin Kr. (2026). Llama 3.1 8b Instruct 4x1 Moe Lbox Lora Sft 5ep [Model]. Free2AITools. https://huggingface.co/Jongbin-kr/llama-3.1-8b-instruct-4x1-moe-lbox-lora-sft-5ep

🔬Technical Deep Dive

Full Specifications [+]

Quick Commands

🦙 Ollama Run

ollama run llama-3.1-8b-instruct-4x1-moe-lbox-lora-sft-5ep

🤗 HF Download

huggingface-cli download jongbin-kr/llama-3.1-8b-instruct-4x1-moe-lbox-lora-sft-5ep

📦 Install Lib

pip install -U transformers

⚖️ Free2AITools Nexus Index V2.0

Methodology How FNI works

Semantic (S) 50

Query-time baseline · scored live at search

Authority (A) 0

Popularity (P) 10

Recency (R) 99

Quality (Q) 65

💬 Index Insight

FNI V2.0 for Llama 3.1 8b Instruct 4x1 Moe Lbox Lora Sft 5ep: Authority (A:0), Popularity (P:10), 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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🚀 What's Next?

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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.

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📝 Limitations & Considerations

• Benchmark scores may vary based on evaluation methodology and hardware configuration.
• VRAM requirements are estimates; actual usage depends on quantization and batch size.
• FNI scores are relative rankings and may change as new models are added.
⚠ License Unknown: Verify licensing terms before commercial use.

Social Proof

HuggingFace Hub

122Downloads

Hub Discussions

🤗 Data Source: Hugging Face ↗

🔄 Updated daily

Source summary: Based on Hugging Face metadata. Not a recommendation.

📊 FNI Methodology 📚 Knowledge Baseℹ️ Verify with original source

🛡️ Model Transparency Report

Technical metadata sourced from upstream repositories.

Open Metadata

🆔 Identity & Source

id: hf-model--jongbin-kr--llama-3.1-8b-instruct-4x1-moe-lbox-lora-sft-5ep
slug: jongbin-kr--llama-3.1-8b-instruct-4x1-moe-lbox-lora-sft-5ep
source: huggingface
author: Jongbin Kr
tags: peft, safetensors, lora, transformers, text-generation, conversational, region:us

⚙️ Technical Specs

params billions: 8
context length: 4,096
pipeline tag: text-generation
vram gb: 7.3
vram is estimated: true
vram formula: VRAM ≈ (params * 0.75) + 0.8GB (KV) + 0.5GB (OS)

📊 Engagement & Metrics

downloads: 122

Data indexed from public sources. Updated daily.