hamze_ghalebi/ wlc_llama

2 Downloads Updated 1 year ago

A fine-tuned language model designed to answer questions related to Welcome Account

ollama run hamze_ghalebi/wlc_llama

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

from ollama import chat

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

import ollama from 'ollama'

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

Models

Name

1 model

Size

Context

Input

wlc_llama:latest

43GB · 128K context window · Text · 1 year ago

wlc_llama:latest

43GB

128K

Text

Readme

wlc_llama - Welcome Account FAQ Assistant (LLaMA 3 Base)

This model, hamze_ghalebi/wlc_llama, is a fine-tuned language model designed to answer questions related to Welcome Account, a banking service specifically tailored for immigrants in France. It is based on the Meta LLaMA 3 architecture and has been trained on the same internal FAQ dataset as hamze_ghalebi/wlc to provide accurate and helpful information about opening and managing a bank account as a newcomer to the country.

Model Summary

Detail	Description
Model Name	`hamze_ghalebi/wlc_llama`
Base Model	Meta LLaMA 3
Parameters	70.6B
Quantization	Q4_K_M
Fine-tuning Method	Low-Rank Adaptation (LoRA)
Training Data	Internal FAQ dataset for Welcome Account banking services for immigrants in France
Primary Use Case	Answering questions about Welcome Account, providing information to potential and existing customers, assisting customer support agents.
License	Base: LLaMA 3 Community License;

Model Description

hamze_ghalebi/wlc_llama utilizes the powerful LLaMA 3 architecture with 70.6B parameters and Q4_K_M quantization. It has been fine-tuned using the LoRA method to specialize in answering questions accurately based on the Welcome Account FAQ dataset. This model is intended to be used as a chatbot, offering detailed and informative responses to user queries.

Usage

To use this model, you will need to have Ollama installed. Once Ollama is set up, you can run the model using the following command:


ollama run hamze_ghalebi/wlc_llama

# wlc_llama - Welcome Account FAQ Assistant (LLaMA 3 Base)

This model, `hamze_ghalebi/wlc_llama`, is a fine-tuned language model designed to answer questions related to **Welcome Account**, a banking service specifically tailored for immigrants in France. It is based on the **Meta LLaMA 3** architecture and has been trained on the same internal FAQ dataset as `hamze_ghalebi/wlc` to provide accurate and helpful information about opening and managing a bank account as a newcomer to the country.

## Model Summary

| Detail               | Description                                                                                                                                      |
| :--------------------- | :----------------------------------------------------------------------------------------------------------------------------------------------- |
| **Model Name**         | `hamze_ghalebi/wlc_llama`                                                                                                                          |
| **Base Model**        | Meta LLaMA 3                                                                                                                                 |
| **Parameters**        | 70.6B                                                                                                                                         |
| **Quantization**      | Q4_K_M                                                                                                                                           |
| **Fine-tuning Method** | Low-Rank Adaptation (LoRA)                                                                                                                       |
| **Training Data**     | Internal FAQ dataset for Welcome Account banking services for immigrants in France                                                             |
| **Primary Use Case**  | Answering questions about Welcome Account, providing information to potential and existing customers, assisting customer support agents. |
| **License**          | Base: LLaMA 3 Community License; 
## Model Description

`hamze_ghalebi/wlc_llama` utilizes the powerful **LLaMA 3** architecture with **70.6B** parameters and **Q4_K_M** quantization. It has been fine-tuned using the **LoRA** method to specialize in answering questions accurately based on the Welcome Account FAQ dataset. This model is intended to be used as a chatbot, offering detailed and informative responses to user queries.

## Usage

To use this model, you will need to have [Ollama](https://ollama.ai/) installed. Once Ollama is set up, you can run the model using the following command:

```bash
ollama run hamze_ghalebi/wlc_llama```

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