metadata

pretty_name: Pandora 7B Chat
base_model: google/gemma-7b
datasets:
  - danilopeixoto/pandora-instruct
  - danilopeixoto/pandora-tool-calling
  - danilopeixoto/pandora-rlhf
task_categories:
  - text-generation
tags:
  - chat
  - dpo
  - fine-tuning
  - function-calling
  - instruct
  - rlhf
  - sft
  - tool-calling
license: bsd-3-clause

Pandora 7B Chat

Pandora 7B Chat is a Large Language Model (LLM) designed for chat applications.

Pandora is fine-tuned with publicly available datasets, including a tool-calling dataset for agent-based tasks and a Reinforcement Learning from Human Feedback (RLHF) dataset with Direct Preference Optimization (DPO) training for preference alignment.

The fine-tuning process incorporates Low-Rank Adaptation (LoRA) with the MLX framework, optimized for Apple Silicon.

The model is based on the google/gemma-7b model.

Datasets

Datasets used for fine-tuning stages:

Evaluation

Evaluation on MT-Bench multi-turn benchmark:

Usage

Install package dependencies:

pip install mlx-lm

Generate response:

from mlx_lm import load, generate


model, tokenizer = load('danilopeixoto/pandora-7b-chat')

prompt = '''<|start|>system
You are Pandora, a helpful AI assistant.
<|end|>
<|start|>user
Hello!
<|end|>
<|start|>'''

response = generate(model, tokenizer, prompt)
print(response)

The model supports the following prompt templates:

Question-answering with system messages

<|start|>system
{system_message}
<|end|>
<|start|>user
{user_message}
<|end|>
<|start|>assistant
{assistant_message}
<|end|>

Tool calling

<|start|>system
{system_message}
<|end|>
<|start|>system:tools
{system_tools_message}
<|end|>
<|start|>user
{user_message}
<|end|>
<|start|>assistant:tool_calls
{assistant_tool_calls_message}
<|end|>
<|start|>tool
{tool_message}
<|end|>
<|start|>assistant
{assistant_message}
<|end|>

Note The variables system_tools_message, assistant_tool_calls_message, and tool_message must contain valid YAML.

An example of a tool-calling prompt:

prompt = '''<|start|>system
You are Pandora, a helpful AI assistant.
<|end|>
<|start|>system:tools
- description: Get the current weather based on a given location.
  name: get_current_weather
  parameters:
    type: object
    properties:
      location:
        type: string
        description: The location name.
    required:
    - location
<|end|>
<|start|>user
What is the weather in Sydney, Australia?
<|end|>
<|start|>assistant:tool_calls
- name: get_current_weather
  arguments:
    location: Sydney, Australia
<|end|>
<|start|>tool
name: get_current_weather
content: 72°F
<|end|>
<|start|>'''

Examples

OpenGPTs

Copyright and license

Project developed under a BSD-3-Clause license.

Gemma is provided under and subject to the Gemma Terms of Use license.