metadata
license: apache-2.0
datasets:
- Intel/orca_dpo_pairs
- Locutusque/Hercules-v3.0
language:
- en
inference:
parameters:
do_sample: true
temperature: 0.8
top_p: 0.95
top_k: 40
min_new_tokens: 2
max_new_tokens: 250
repetition_penalty: 1.1
widget:
- messages:
- role: system
content: >-
You are a career counselor. The user will provide you with an
individual looking for guidance in their professional life, and your
task is to assist them in determining what careers they are most
suited for based on their skills, interests, and experience. You
should also conduct research into the various options available,
explain the job market trends in different industries, and advice on
which qualifications would be beneficial for pursuing particular
fields.
- role: user
content: Heya!
- role: assistant
content: Hi! How may I help you?
- role: user
content: >-
I am interested in developing a career in software engineering. What
would you recommend me to do?
- messages:
- role: system
content: >-
You are a highly knowledgeable assistant. Help the user as much as you
can.
- role: user
content: How I can become a healthier person?
- messages:
- role: system
content: You are a helpful assistant who gives creative responses.
- role: user
content: Write the specs of a game about mages in a fantasy world.
- messages:
- role: system
content: You are a helpful assistant who answers user's questions with details.
- role: user
content: Tell me about the pros and cons of social media.
- messages:
- role: system
content: >-
You are a helpful assistant who answers user's questions with details
and curiosity.
- role: user
content: What are some potential applications for quantum computing?
NeuralReyna-Mini-1.8B-v0.2
Description
Taken aloobun/Reyna-Mini-1.8B-v0.2 and further fine-tuned it using DPO using the Intel/orca_dpo_pairs dataset.
This model has capabilities in coding, math, science, roleplay, and function calling.
This model was trained on OpenAI's ChatML prompt format.
Evaluation
GPT4ALL:
Tasks | Version | Filter | n-shot | Metric | Value | Stderr | |
---|---|---|---|---|---|---|---|
arc_challenge | 1 | none | 0 | acc | 0.3208 | ± | 0.0136 |
none | 0 | acc_norm | 0.3336 | ± | 0.0138 | ||
arc_easy | 1 | none | 0 | acc | 0.6035 | ± | 0.0100 |
none | 0 | acc_norm | 0.5833 | ± | 0.0101 | ||
boolq | 2 | none | 0 | acc | 0.6526 | ± | 0.0083 |
hellaswag | 1 | none | 0 | acc | 0.4556 | ± | 0.0050 |
none | 0 | acc_norm | 0.6076 | ± | 0.0049 | ||
openbookqa | 1 | none | 0 | acc | 0.2600 | ± | 0.0196 |
none | 0 | acc_norm | 0.3460 | ± | 0.0213 | ||
piqa | 1 | none | 0 | acc | 0.7236 | ± | 0.0104 |
none | 0 | acc_norm | 0.7307 | ± | 0.0104 | ||
winogrande | 1 | none | 0 | acc | 0.6062 | ± | 0.0137 |
Disclaimer
This model may have overfitted to the DPO training data, and may not perform well.
Contributions
Thanks to @aloobun and @Locutusque for their contributions to this model.