frob/ NireeskshanAI_Niri

1 Download Updated 2 months ago

ollama run frob/NireeskshanAI_Niri

curl http://localhost:11434/api/chat \
  -d '{
    "model": "frob/NireeskshanAI_Niri",
    "messages": [{"role": "user", "content": "Hello!"}]
  }'

from ollama import chat

response = chat(
    model='frob/NireeskshanAI_Niri',
    messages=[{'role': 'user', 'content': 'Hello!'}],
)
print(response.message.content)

import ollama from 'ollama'

const response = await ollama.chat({
  model: 'frob/NireeskshanAI_Niri',
  messages: [{role: 'user', content: 'Hello!'}],
})
console.log(response.message.content)

Models

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Name

3 models

Size

Context

Input

NireeskshanAI_Niri:latest

4.1GB · 4K context window · Text · 2 months ago

NireeskshanAI_Niri:latest

4.1GB

Text

NireeskshanAI_Niri:7b-Q4_K_M

4.1GB · 4K context window · Text · 2 months ago

NireeskshanAI_Niri:7b-Q4_K_M

4.1GB

Text

NireeskshanAI_Niri:7b-fp16

13GB · 4K context window · Text · 2 months ago

NireeskshanAI_Niri:7b-fp16

13GB

Text

Readme

Imported from https://huggingface.co/NireeskshanAI/Finetuned_NIRI_LLM

Model: NousResearch/Llama-2-7b-chat-hf
Dataset: Custom Civil Engineering Dataset
Version: 1.0.0
Date: August 2024

Model Description

Niri_LLM is a fine-tuned version of the LLaMA-2 model, specifically designed to address civil engineering challenges. It is particularly effective in generating accurate and contextually relevant responses to queries related to structural health monitoring, corrosion management, and other civil engineering disciplines.

The fine-tuning process focused on enhancing the model’s ability to understand and generate detailed technical content, making it a valuable tool for engineers, researchers, and professionals in the field.