FinGPT is deeply committed to fostering an open-source ecosystem dedicated to Financial Large Language Models (FinLLMs). FinGPT envisions democratizing access to both financial data and FinLLMs. It stands as an emblem of untapped potential within open finance, aspiring to be a significant catalyst stimulating innovation and refinement within the financial domain. Note: Nothing herein is financial advice, and NOT a recommendation to trade real money
Model Intention:
It's a professional stock market analyst. It can provide an analysis and prediction for the companies' stock price movement for the upcoming weeks. Note: Nothing herein is financial advice, and NOT a recommendation to trade real money
Model Description:
FinGPT is deeply committed to fostering an open-source ecosystem dedicated to Financial Large Language Models (FinLLMs). FinGPT envisions democratizing access to both financial data and FinLLMs. It stands as an emblem of untapped potential within open finance, aspiring to be a significant catalyst stimulating innovation and refinement within the financial domain. Note: Nothing herein is financial advice, and NOT a recommendation to trade real money
[INST]<<SYS>>
{{systemp_prompt}}<</SYS>>
Let's first analyze the positive developments and potential concerns for {{prompt}}. Come up with 2-4 most important factors respectively and keep them concise. Most factors should be inferred from company related news. Then make your prediction of the {{prompt}} stock price movement for next week. Provide a summary analysis to support your prediction.[/INST]
Template Name:
llama
Add BOS Token:
Yes
Add EOS Token:
No
Parse Special Tokens:
Yes
Llama3.1 8B
The Meta Llama 3.1 is pretrained and instruction tuned generative models in 8B sizes (text in/text out). It is optimized for multilingual dialogue use cases (English, German, French, Italian, Portuguese, Hindi, Spanish, and Thai) and outperform closed chat models on common benchmarks.
Model Intention:
The latest Llama 3 enabling more accurate and informative responses to complex queries in both English and multilingual contexts.
Model Description:
The Meta Llama 3.1 is pretrained and instruction tuned generative models in 8B sizes (text in/text out). It is optimized for multilingual dialogue use cases (English, German, French, Italian, Portuguese, Hindi, Spanish, and Thai) and outperform closed chat models on common benchmarks.
The TinyLlama project aims to pretrain a 1.1B Llama model on 3 trillion tokens. With some proper optimization, we can achieve this within a span of just 90 days using 16 A100-40G GPUs. The training has started on 2023-09-01.
Model Description:
The TinyLlama project aims to pretrain a 1.1B Llama model on 3 trillion tokens. With some proper optimization, we can achieve this within a span of just 90 days using 16 A100-40G GPUs. The training has started on 2023-09-01.
The Mistral 7B v0.3 Large is a pretrained generative text model with 7 billion parameters. It extended vocabulary to 32768 and supports function calling.
Model Intention:
It's a 7B large model for Q&A purpose. But it requires a high-end device to run.
Model Description:
The Mistral 7B v0.3 Large is a pretrained generative text model with 7 billion parameters. It extended vocabulary to 32768 and supports function calling.
OpenChat is an innovative library of open-source language models, fine-tuned with C-RLFT - a strategy inspired by offline reinforcement learning. Our models learn from mixed-quality data without preference labels, delivering exceptional performance on par with ChatGPT, even with a 7B model. Despite our simple approach, we are committed to developing a high-performance, commercially viable, open-source large language model, and we continue to make significant strides toward this vision.
Model Intention:
the Llama-3 based version OpenChat 3.6 20240522, outperforming official Llama 3 8B Instruct. But it requires a high-end device to run.
Model Description:
OpenChat is an innovative library of open-source language models, fine-tuned with C-RLFT - a strategy inspired by offline reinforcement learning. Our models learn from mixed-quality data without preference labels, delivering exceptional performance on par with ChatGPT, even with a 7B model. Despite our simple approach, we are committed to developing a high-performance, commercially viable, open-source large language model, and we continue to make significant strides toward this vision.
The Phi-3 4K-Instruct is a 3.8B parameters, lightweight, state-of-the-art open model. It is optimized for the instruction following and safety measures. It is good at common sense, language understanding, math, code, long context and logical reasoning, Phi-3 Mini-4K-Instruct showcased a robust and state-of-the-art performance among models with less than 13 billion parameters.
Model Intention:
It's a Microsoft Phi-3B model with visual support. It can understand images as well as text
Model Description:
The Phi-3 4K-Instruct is a 3.8B parameters, lightweight, state-of-the-art open model. It is optimized for the instruction following and safety measures. It is good at common sense, language understanding, math, code, long context and logical reasoning, Phi-3 Mini-4K-Instruct showcased a robust and state-of-the-art performance among models with less than 13 billion parameters.
Yi-1.5 is an upgraded version which delivers stronger performance in coding, math, reasoning, and instruction-following capability, while still maintaining excellent capabilities in language understanding, commonsense reasoning, and reading comprehension. It is continuously pre-trained on Yi with a high-quality corpus of 500B tokens and fine-tuned on 3M diverse fine-tuning samples. The Yi series models are the next generation of open-source large language models trained from scratch by 01.AI. The Yi series models become one of the strongest LLM worldwide, showing promise in language understanding, commonsense reasoning, reading comprehension, and more.
Model Intention:
It's a 6B model and can understand English and Chinese. It's good for coding, math, reasoning and language understanding
Model Description:
Yi-1.5 is an upgraded version which delivers stronger performance in coding, math, reasoning, and instruction-following capability, while still maintaining excellent capabilities in language understanding, commonsense reasoning, and reading comprehension. It is continuously pre-trained on Yi with a high-quality corpus of 500B tokens and fine-tuned on 3M diverse fine-tuning samples. The Yi series models are the next generation of open-source large language models trained from scratch by 01.AI. The Yi series models become one of the strongest LLM worldwide, showing promise in language understanding, commonsense reasoning, reading comprehension, and more.
Update History:
Yi-1.5 is an upgraded version of Yi. It is continuously pre-trained on Yi with a high-quality corpus of 500B tokens and fine-tuned on 3M diverse fine-tuning samples. Yi-1.5 delivers stronger performance in coding, math, reasoning, and instruction-following capability, while still maintaining excellent capabilities in language understanding, commonsense reasoning, and reading comprehension
Gemma is a family of lightweight, state-of-the-art open models built from the same research and technology used to create the Gemini models. Developed by Google DeepMind and other teams across Google, Gemma is named after the Latin gemma, meaning 'precious stone.' The Gemma model weights are supported by developer tools that promote innovation, collaboration, and the responsible use of artificial intelligence (AI).
Model Intention:
It's a 2B large model for Q&A purpose. But it requires a high-end device to run.
Model Description:
Gemma is a family of lightweight, state-of-the-art open models built from the same research and technology used to create the Gemini models. Developed by Google DeepMind and other teams across Google, Gemma is named after the Latin gemma, meaning 'precious stone.' The Gemma model weights are supported by developer tools that promote innovation, collaboration, and the responsible use of artificial intelligence (AI).
StarCoder2-3B model is a 3B parameter model trained on 17 programming languages from The Stack v2, with opt-out requests excluded. The model uses Grouped Query Attention, a context window of 16,384 tokens with a sliding window attention of 4,096 tokens, and was trained using the Fill-in-the-Middle objective on 3+ trillion tokens
Model Intention:
The model is good at 17 programming languages. By just start with your codes, the model will finish it.
Model Description:
StarCoder2-3B model is a 3B parameter model trained on 17 programming languages from The Stack v2, with opt-out requests excluded. The model uses Grouped Query Attention, a context window of 16,384 tokens with a sliding window attention of 4,096 tokens, and was trained using the Fill-in-the-Middle objective on 3+ trillion tokens
Qwen is the large language model and large multimodal model series of the Qwen Team, Alibaba Group. It supports both Chinese and English. 通义千问是阿里巴巴公司开发的大大预言模型，支持中英文双语。
Model Intention:
Qwen2 is the new series that generally surpassed most opensource models and demonstrated competitiveness against proprietary models across a series of benchmarks targeting for language understanding, language generation, multilingual capability, coding, mathematics, reasoning, etc
Model Description:
Qwen is the large language model and large multimodal model series of the Qwen Team, Alibaba Group. It supports both Chinese and English. 通义千问是阿里巴巴公司开发的大大预言模型，支持中英文双语。
Qwen is the large language model and large multimodal model series of the Qwen Team, Alibaba Group. It supports both Chinese and English. 通义千问是阿里巴巴公司开发的大大预言模型，支持中英文双语。
Model Intention:
Qwen2 is the new series that generally surpassed most opensource models and demonstrated competitiveness against proprietary models across a series of benchmarks targeting for language understanding, language generation, multilingual capability, coding, mathematics, reasoning, etc
Model Description:
Qwen is the large language model and large multimodal model series of the Qwen Team, Alibaba Group. It supports both Chinese and English. 通义千问是阿里巴巴公司开发的大大预言模型，支持中英文双语。
This model is based on Mistral-7b-v0.2 with 16k context lengths. It's a uncensored model and supports a variety of instruction, conversational, and coding skills.
Model Intention:
It's a uncensored and good skilled English modal best for high performance iPhone, iPad & Mac
Model Description:
This model is based on Mistral-7b-v0.2 with 16k context lengths. It's a uncensored model and supports a variety of instruction, conversational, and coding skills.
The WizardLM-2 is one of the next generation state-of-the-art large language models, which have improved performance on complex chat, multilingual, reasoning and agent.
Model Intention:
It's a state-of-the-art large language model with improved performance on complex chat, multilingual, reasoning and agent.
Model Description:
The WizardLM-2 is one of the next generation state-of-the-art large language models, which have improved performance on complex chat, multilingual, reasoning and agent.
A chat between a curious user and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the user's questions.
USER: {{prompt}}
ASSISTANT:
Template Name:
chatml
Add BOS Token:
Yes
Add EOS Token:
No
Parse Special Tokens:
Yes
Runs of flyingfishinwater good_and_small_models on huggingface.co
14.1K
Total runs
18
24-hour runs
168
3-day runs
1.1K
7-day runs
9.8K
30-day runs
More Information About good_and_small_models huggingface.co Model
good_and_small_models huggingface.co is an AI model on huggingface.co that provides good_and_small_models's model effect (), which can be used instantly with this flyingfishinwater good_and_small_models model. huggingface.co supports a free trial of the good_and_small_models model, and also provides paid use of the good_and_small_models. Support call good_and_small_models model through api, including Node.js, Python, http.
good_and_small_models huggingface.co is an online trial and call api platform, which integrates good_and_small_models's modeling effects, including api services, and provides a free online trial of good_and_small_models, you can try good_and_small_models online for free by clicking the link below.
flyingfishinwater good_and_small_models online free url in huggingface.co:
good_and_small_models is an open source model from GitHub that offers a free installation service, and any user can find good_and_small_models on GitHub to install. At the same time, huggingface.co provides the effect of good_and_small_models install, users can directly use good_and_small_models installed effect in huggingface.co for debugging and trial. It also supports api for free installation.
good_and_small_models install url in huggingface.co:
