🧠

Model

My First Llm

Name: My First Llm
Author: Akhil2170

by Akhil2170 hf-model--akhil2170--my-first-llm

Free2AITools Nexus Index

37.8 Top 100%

S: Semantic 50

A: Authority 0

P: Popularity 0

R: Recency 98

Q: Quality 65

Tech Context

8.03 Params

8.192K Ctx

Vital Performance

0 DL / 30D

0.0%

Source →

Audited 37.8 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	hf-model--akhil2170--my-first-llm
License	Apache-2.0
Provider	huggingface

💾

Compute Threshold

~7.3GB VRAM

Interactive

Analyze Hardware

Hardware Compatibility Test

▼

* Static estimation for 4-Bit Quantization.

📜

Cite this model

Academic & Research Attribution

BibTeX

@misc{hf_model__akhil2170__my_first_llm,
  author = {Akhil2170},
  title = {My First Llm Model},
  year = {2026},
  howpublished = {\url{https://huggingface.co/Akhil2170/my-first-llm}},
  note = {Accessed via Free2AITools Knowledge Fortress}
}

APA Style

Akhil2170. (2026). My First Llm [Model]. Free2AITools. https://huggingface.co/Akhil2170/my-first-llm

🔬Technical Deep Dive

Full Specifications [+]

Quick Commands

🦙 Ollama Run

ollama run my-first-llm

🤗 HF Download

huggingface-cli download akhil2170/my-first-llm

📦 Install Lib

pip install -U transformers

⚖️ Free2AITools Nexus Index V2.0

Methodology Index Protocol

Semantic (S) 50

Authority (A) 0

Popularity (P) 0

Recency (R) 98

Quality (Q) 65

💬 Index Insight

FNI V2.0 for My First Llm: Semantic (S:50), Authority (A:0), Popularity (P:0), Recency (R:98), Quality (Q:65).

Free2AITools Nexus Index

Verification Authority

HuggingFace API GitHub Metadata Arxiv Citation DB System Audit

Unbiased Data Node Refresh: VFS Live

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🚀 What's Next?

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Deployment Guide

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Technical Deep Dive

Uploaded finetuned model

Developed by: Akhil2170
License: apache-2.0
Finetuned from model : unsloth/llama-3.1-8b-unsloth-bnb-4bit

This llama model was trained 2x faster with Unsloth and Huggingface's TRL library.

⚠️ 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 →

📝 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.

🤗 Data Source: Hugging Face ↗

🔄 Daily sync (03:00 UTC)

AI 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--akhil2170--my-first-llm
slug: akhil2170--my-first-llm
source: huggingface
author: Akhil2170
license: Apache-2.0
tags: transformers, safetensors, llama, text-generation, text-generation-inference, unsloth, en, license:apache-2.0, endpoints_compatible, 4-bit, bitsandbytes, region:us

⚙️ 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 ≈ (params * 0.75) + 0.8GB (KV) + 0.5GB (OS)

📊 Engagement & Metrics

downloads: 0
stars: 0
forks: 0

Data indexed from public sources. Updated daily.