What are the hardware requirements for Finance LLM GGUF?

Finance LLM GGUF requires approximately 2.8 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Finance LLM GGUF and how large is it?

Finance LLM GGUF is developed by TheBloke. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

Where can I download or evaluate Finance LLM GGUF?

Finance LLM GGUF is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Finance LLM GGUF by TheBloke — VRAM 2.8GB

Name: Finance LLM GGUF
Rating: 1 (3 reviews)
Author: TheBloke

Finance LLM GGUF is an open-source language model by TheBloke. Features: LLM, VRAM: 2.8GB, License: other, Quantized, Instruction-Based, LLM Explorer Score: 0.11.

Arxiv:2309.09530 Base model:adaptllm/finance-ll... Base model:quantized:adaptllm/... Dataset:gair/lima Dataset:open-orca/openorca Dataset:wizardlm/wizardlm evol... En Finance Gguf Instruct Llama Quantized Region:us

Model Card on HF 🤗: https://huggingface.co/TheBloke/finance-LLM-GGUF

Finance LLM GGUF Parameters and Internals

Model Type

llama, text-generation

Additional Notes

Model creator: AdaptLLM. Quantum by: TheBloke. Language: English. Inference: false.

Supported Languages

English (en)

Training Details

Data Sources:

OpenOrca, GAIR/lima, WizardLM/WizardLM_evol_instruct_V2_196k

Input Output

Input Format:

[INST] <> {system_message} <> {prompt} [/INST]

LLM Name	Finance LLM GGUF
Repository 🤗	https://huggingface.co/TheBloke/finance-LLM-GGUF
Model Name	Finance LLM
Model Creator	AdaptLLM
Base Model(s)	Finance LLM AdaptLLM/finance-LLM
Required VRAM	2.8 GB
Updated	2026-07-10
Maintainer	TheBloke
Model Type	llama
Instruction-Based	Yes
Model Files	2.8 GB 3.6 GB 3.3 GB 3.0 GB 3.8 GB 4.1 GB 3.9 GB 4.7 GB 4.8 GB 4.7 GB 5.5 GB 7.2 GB
Supported Languages	en
GGUF Quantization	Yes
Quantization Type	gguf
Model Architecture	AutoModel
License	other

Rank the Finance LLM GGUF capabilities

Have you tried this model? Rate its performance — this feedback helps the ML community find the right model for their needs.

Instruction Following and Task Automation
Factuality and Completeness of Knowledge
Censorship and Alignment
Data Analysis and Insight Generation
Text Generation
Text Summarization and Feature Extraction
Code Generation
Multi-Language Support and Translation

Best Alternatives to Finance LLM GGUF

Best Alternatives	Context / RAM	Downloads	Likes
...ixtral 8x7B Instruct V0.1 GGUF	0K / 15.6 GB	18491	655
Dolphin 2.5 Mixtral 8x7b GGUF	0K / 15.6 GB	18101	314
Dolphin 2.7 Mixtral 8x7b GGUF	0K / 15.6 GB	12812	176
Phi 3 Mini 4K Instruct GGUF	0K / 1.4 GB	1429	17
Spydaz Web AI	0K / 4.4 GB	154	3
Autocomplete Model	0K / 4.1 GB	66	0
Dolphin 2 6 Phi 2 GGUF	0K / 1.2 GB	5273	75
Phi 3 Mini 4K Instruct	0K / 2.3 GB	22	0
...3 Mini 4k OLScience 4bitQ Gguf	0K / 2.3 GB	26	0
Dre Phi Gguf	0K / 2.3 GB	9	0

Note: green Score (e.g. "73.2") means that the model is better than TheBloke/finance-LLM-GGUF.