Edit model card
Configuration Parsing Warning: In config.json: "quantization_config.bits" must be an integer

Exllamav2 quant (exl2 / 2.2 bpw) made with ExLlamaV2 v0.1.1

Other EXL2 quants:

Quant Model Size lm_head
2.2
2671 MB
6
2.5
2958 MB
6
3.0
3477 MB
6
3.5
3997 MB
6
3.75
4256 MB
6
4.0
4515 MB
6
4.25
4776 MB
6
5.0
5556 MB
6
6.0
6605 MB
8
6.5
7137 MB
8
8.0
7983 MB
8

ConvAI-9b v2: A Conversational AI Model

img

1. Model Details

  • Model Name: ConvAI-9b v2
  • Authors: CreitinGameplays
  • Date: May 29th, 2024

2. Model Description

ConvAI-9b v2 is a fine-tuned conversational AI model with 9 billion parameters. It is based on the following models:

3. Training Data

The model was fine-tuned on a custom dataset of conversations between an AI assistant and a user. The dataset format followed a specific structure:

<|system|> (system prompt, e.g.: You are a helpful AI language model called ChatGPT, your goal is helping users with their questions) </s> <|user|> (user prompt) </s>

4. Intended Uses

ConvAI-9b is intended for use in conversational AI applications, such as:

  • Chatbots
  • Virtual assistants
  • Interactive storytelling
  • Educational tools

5. Limitations

  • Like any other language model, ConvAI-9b v2 may generate incorrect or misleading responses.
  • It may exhibit biases present in the training data.
  • The model's performance can be affected by the quality and format of the input text.

6. Evaluation

~ soon

Downloads last month
8
Inference Examples
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social visibility and check back later, or deploy to Inference Endpoints (dedicated) instead.

Model tree for Zoyd/CreitinGameplays_ConvAI-9b-v2-2_2bpw_exl2

Quantized
(95)
this model

Dataset used to train Zoyd/CreitinGameplays_ConvAI-9b-v2-2_2bpw_exl2