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Характеристики

Контекст
2 048 токенов
Параметры
12,9 млрд
Размер весов
26 ГБ
Лицензия
Своя лицензия
Архитектура
llama · dense
Опубликована
2 июл 2023

dolphin-llama-13b

Генерация текстаТекст → текст11 профессий

Dolphin Llama 13B — дообученная на инструкциях Orca модель Llama 1 для диалогов и выполнения пользовательских запросов.

33скачиваний за 30 дней66лайковвеса обновлены4 мар 2024

Бенчмарки

Как модель справилась с задачами пользователей ailist и что о ней публикуют открытые лидерборды

Тесты пользователейпока нет

Никто ещё не опубликовал тест этой модели. Соберите бенчмарк из своих задач — результат появится здесь.

  1. Добавьте модель в бенчмарк

    Вместе с другими моделями категории «Текст» — сравнение идёт внутри одной категории.

  2. Опишите свои задачи

    Напишите запросы, при необходимости приложите файлы и эталонные ответы.

  3. Запустите и опубликуйте

    Модели ответят на каждую задачу, судья оценит ответы. Опубликованный результат появится на этой странице.

Публичные оценки

Из открытых лидербордов. Сравнивайте результаты одного теста при одинаковых условиях — отсутствие оценки не значит, что модель хуже.

В подключённых источниках результатов для этой модели пока нет.

Что умеет модель

Описание составлено по карточке модели и метаданным Hugging Face

Dolphin Llama 13B — языковая модель команды Dolphin на архитектуре Llama 1 с 12,9 млрд параметров. Она дообучена на открытой реализации датасета Orca: инструкциях FLANv2 с ответами GPT-3.5 и GPT-4. Модель предназначена для диалогов и выполнения разнообразных инструкций; формат запросов включает поля SYSTEM, USER и ASSISTANT. Контекст составляет 2048 токенов.

В карточке модель описана как uncensored: при подготовке данных удаляли примеры отказов, избегания и выравнивания. Это позволяет настраивать поведение модели собственным alignment-слоем, но также означает, что без дополнительной фильтрации она может отвечать на вредоносные запросы. Модель основана на Llama 1 и предназначена только для некоммерческого использования; лицензия в метаданных указана как other.

Сценарии применения

  • ответы на вопросы в диалоге
  • выполнение инструкций на естественном языке
  • создание прототипа чат-бота
  • эксперименты с настройкой поведения языковой модели

Ограничения

Модель основана на Llama 1 и предназначена только для некоммерческого использования. В README отмечено, что из обучающих данных удаляли отказы и выравнивание, поэтому перед предоставлением модели пользователям рекомендуется добавить собственный слой контроля поведения.

Для каких профессий подходит11

Разделы каталога профессий, в задачах которых используется эта модель

Все профессии

Также подходит для

Карточка модели

README от автора на Hugging Face, как он его опубликовал

Открыть на Hugging Face

Dolphin 🐬 https://erichartford.com/dolphin

This model is based on llama1, so it is for non-commercial use only. Future versions will be trained on llama2 and other open models that are suitable for commercial use.

This model is uncensored. I have filtered the dataset to remove alignment and bias. This makes the model compliant to any requests. You are advised to implement your own alignment layer before exposing the model as a service. It will be highly compliant to any requests, even unethical ones. Please read my blog post about uncensored models. https://erichartford.com/uncensored-models You are responsible for any content you create using this model. Enjoy responsibly.

Dataset

This dataset is an open source implementation of Microsoft's Orca

After uncensoring, deduping, and cleaning, our dataset consists of:

  • 842,610 instructions of FLANv2 augmented with GPT-4 completions
  • 2,625,353 instructions of FLANv2 augmented with GPT-3.5 completions

We followed the submix and system prompt distribution outlined in the Orca paper. With a few exceptions. We included all 75k of CoT in the FLAN-1m dataset rather than sampling that. Also, we found that many items were duplicated, so we removed duplicates.

Then we filtered out instances of alignment, refusal, avoidance, and bias, in order to produce an uncensored model upon which can be layered your personalized alignment LoRA.

We also filtered out duplicates and cleaned the data.

Training

We trained with the flan5m (gpt3.5 completions) dataset in its entirety for 3 epochs at a learning rate of 2e-5 before we stopped training to avoid overfit. We trained with the flan1m (gpt4 completions) dataset in its entirety for 2.5 epochs at a learning rate of 1e-5 before we stopped training to avoid overfit. It took about 600 hours to train on 8x H100s We used a prompt format similar to Vicuna, but we added the SYSTEM: field.

Prompt format:

SYSTEM: {system}
USER: {prompt}
ASSISTANT:

Example:

SYSTEM: you are an expert marine biologist.
USER: Please list 10 ways that dolphins are superior to orcas.
ASSISTANT:

Evaluation

Evaluation will be coming soon.

Team

The core Dolphin Team includes:

  • Eric "Faldore" Hartford
  • Pankaj Mathur
  • Rob "Rohan" O'Callahan
  • Tom "TheBloke" Jobbins

Gratitude

  • Thank you to Microsoft for authoring the Orca paper and inspiring this work.
  • Special thanks to WingLian, NanoBit, Teknium for helpful advice
  • Special thanks to EdenCoder and chirper.ai for mentorship and financial sponsorship.
  • Special thanks to Kilkonie for his very valued mentorship.
  • Thank you to Catto.
  • Thank you to Nicolai Schleifer, financial sponsor.
  • Thank you to Eric Fleming, financial sponsor.
  • Thank you to all the other people in the Open Source AI community who have taught me and helped me along the way.
  • And biggest thanks and love to my wife Hope and my babies, who have endured two months of my absenteeism while working long days and nights on this project.

Example Output

SYSTEM: you are an expert marine biologist.
USER: Please list 10 ways that dolphins are superior to orcas.
ASSISTANT: 
  1. Social structure: Dolphins live in complex social groups called pods, which consist of extended family units and can include hundreds of individuals. Orcas, on the other hand, typically form smaller, more temporary groupings known as clans or matrilineal kinship groups.

  2. Communication: Dolphins have a highly developed system of vocalizations, body language, and even telepathy to communicate with each other for various purposes such as coordinating cooperative hunting strategies, sharing information about food sources, and maintaining social bonds. While orcas also exhibit some communication abilities, their methods are generally less sophisticated compared to those of dolphins.

  3. Intelligence: Dolphins are widely regarded as one of the most intelligent animal species, showcasing advanced problem-solving skills, self-awareness, tool use (such as using sea sponges as tools), and learning capabilities. Some dolphin species have been observed demonstrating altruism and understanding of human emotions. In contrast, while orcas are also smart, they do not display the same level of cognitive complexity as dolphins.

  4. Playfulness: Dolphins are well-known for their playful behavior, often engaging in acrobatic displays, chasing each other's tails, and playing with objects like balls or seaweed. This playful nature is thought to be essential for their social bonding and mental stimulation. Although orcas may occasionally interact playfully, it is not as prevalent or diverse as among dolphins.

  5. Agility and speed: Dolphins are incredibly agile swimmers, capable of reaching speeds up to 30 miles per hour (48 km/h) when pursuing prey. They can change direction rapidly and maneuver through tight spaces with ease. While orcas are powerful predators and fast swimmers themselves, they cannot match the sheer acceleration and agility of dolphins.

  6. Feeding habits: Both dolphins and orcas are carnivorous, feeding primarily on fish and cephalopods. However, dolphins employ a wider variety of hunting techniques, including cooperative hunting strategies involving herding, encircling, and driving schools of fish into shallow waters where they become disoriented and easier to catch. Orcas mainly rely on ambushing their prey from below and using their powerful jaws to strike quickly.

  7. Reproduction: Female dolphins usually give birth to a single calf after a gestation period of around 12 months. The mother plays a crucial role in raising and nurturing her offspring until they become independent. On the other hand, female orcas tend to breed every three to five years, giving birth to multiple offspring at once, and relying heavily on their mothers for protection and teaching.

  8. Vocal repertoire: Dolphins possess a wide range of sounds, including clicks, whistles, and body sounds, which allow them to convey different messages and establish unique identities within their pods. Orcas, too, produce vocalizations but lack the diversity found in dolphin calls.

  9. Conservation status: Many dolphin species face threats due to habitat loss, pollution, overfishing, and climate change. As a result, several populations are considered vulnerable or endangered by the International Union for Conservation of Nature (IUCN). In comparison, orca conservation status varies depending on the region; however, no species is currently listed as critically endangered or facing extinction.

  10. Adaptability: Dolphins have adapted to various aquatic environments, ranging from warm coastal waters to colder open oceans. Their versatility allows them to thrive in both tropical and temperate climates. Orcas, conversely, are adapted to specific habitats such as cooler coastal waters and are mostly found in the Northern Hemisphere.

Open LLM Leaderboard Evaluation Results

Detailed results can be found here

MetricValue
Avg.48.6
ARC (25-shot)55.55
HellaSwag (10-shot)77.11
MMLU (5-shot)52.16
TruthfulQA (0-shot)52.23
Winogrande (5-shot)69.93
GSM8K (5-shot)14.4
DROP (3-shot)18.83

Open LLM Leaderboard Evaluation Results

Detailed results can be found here

MetricValue
Avg.53.56
AI2 Reasoning Challenge (25-Shot)55.55
HellaSwag (10-Shot)77.11
MMLU (5-Shot)52.16
TruthfulQA (0-shot)52.23
Winogrande (5-shot)69.93
GSM8k (5-shot)14.40

Как запустить

На своей GPU в ailist. Цена — по текущим предложениям провайдеров

GPU в ailist

Универсальный рантайм

Можно запустить

Подбираем GPU…

Класс архитектуры
LlamaForCausalLM
Ревизия весов
a5d27e1

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