FinanceConnect-13B Open-source Financial Large Model - Free Support for Tasks such as Summarization, Classification, and Translation

Financeconnect 13B I1 GGUF

Developed by mradermacher

FinanceConnect-13B is a 13B-parameter large language model specialized in the financial domain, supporting natural language processing tasks such as summarization, classification, and translation.

Large Language Model EnglishOpen Source License:Apache-2.0 #Financial Domain Specialized #Quantitative Matrix Optimization #Multi-task NLP

Downloads 261

Release Time : 2/23/2025

Model Overview

This is a quantized version based on the ceadar-ie/FinanceConnect-13B model, specifically optimized for natural language processing tasks in the financial domain.

Model Features

Financial Domain Optimization

Specially trained and optimized for financial domain data and tasks

Multi-task Support

Supports various natural language processing tasks including summarization, classification, and translation

Diverse Quantized Versions

Offers multiple quantized versions to meet usage requirements under different hardware conditions

Model Capabilities

Financial text summarization

Financial document classification

Financial text translation

Financial domain Q&A

Use Cases

Financial Analysis

Earnings Report Summarization

Automatically generates concise summaries of company earnings reports

Helps analysts quickly grasp key information from reports

Financial News Classification

Classifies and organizes financial news

Improves efficiency in financial information processing

Multilingual Financial Applications

Financial Document Translation

Translates financial documents into different languages

Facilitates international financial information exchange

base_model: ceadar-ie/FinanceConnect-13B datasets:

FinTalk-19k language: en library_name: transformers license: apache-2.0 quantized_by: mradermacher tags:
summarization
classification
translation
NLP
finance
domain specific llm

About

weighted/imatrix quants of https://huggingface.co/ceadar-ie/FinanceConnect-13B

static quants are available at https://huggingface.co/mradermacher/FinanceConnect-13B-GGUF

Usage

If you are unsure how to use GGUF files, refer to one of TheBloke's READMEs for more details, including on how to concatenate multi-part files.

Provided Quants

(sorted by size, not necessarily quality. IQ-quants are often preferable over similar sized non-IQ quants)

Link	Type	Size/GB	Notes
GGUF	i1-IQ1_S	3.0	for the desperate
GGUF	i1-IQ1_M	3.2	mostly desperate
GGUF	i1-IQ2_XXS	3.6
GGUF	i1-IQ2_XS	4.0
GGUF	i1-IQ2_S	4.3
GGUF	i1-Q2_K_S	4.5	very low quality
GGUF	i1-IQ2_M	4.6
GGUF	i1-Q2_K	5.0	IQ3_XXS probably better
GGUF	i1-IQ3_XXS	5.1	lower quality
GGUF	i1-IQ3_XS	5.5
GGUF	i1-IQ3_S	5.8	beats Q3_K*
GGUF	i1-Q3_K_S	5.8	IQ3_XS probably better
GGUF	i1-IQ3_M	6.1
GGUF	i1-Q3_K_M	6.4	IQ3_S probably better
GGUF	i1-Q3_K_L	7.0	IQ3_M probably better
GGUF	i1-IQ4_XS	7.1
GGUF	i1-IQ4_NL	7.5	prefer IQ4_XS
GGUF	i1-Q4_0	7.5	fast, low quality
GGUF	i1-Q4_K_S	7.5	optimal size/speed/quality
GGUF	i1-Q4_K_M	8.0	fast, recommended
GGUF	i1-Q4_1	8.3
GGUF	i1-Q5_K_S	9.1
GGUF	i1-Q5_K_M	9.3
GGUF	i1-Q6_K	10.8	practically like static Q6_K

Here is a handy graph by ikawrakow comparing some lower-quality quant types (lower is better):

And here are Artefact2's thoughts on the matter: https://gist.github.com/Artefact2/b5f810600771265fc1e39442288e8ec9

FAQ / Model Request

See https://huggingface.co/mradermacher/model_requests for some answers to questions you might have and/or if you want some other model quantized.

Thanks

I thank my company, nethype GmbH, for letting me use its servers and providing upgrades to my workstation to enable this work in my free time. Additional thanks to @nicoboss for giving me access to his private supercomputer, enabling me to provide many more imatrix quants, at much higher quality, than I would otherwise be able to.

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