What are the hardware requirements for Deepmoney 34B 200K Base GGUF?

Deepmoney 34B 200K Base GGUF requires approximately 12.8 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Deepmoney 34B 200K Base GGUF and how large is it?

Deepmoney 34B 200K Base GGUF is developed by TheBloke, a model with 34b parameters. 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 Deepmoney 34B 200K Base GGUF?

Deepmoney 34B 200K Base GGUF is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Deepmoney 34B 200K Base GGUF by TheBloke — VRAM 12.8GB

Name: Deepmoney 34B 200K Base GGUF
Author: TheBloke

Deepmoney 34B 200K Base GGUF is an open-source language model by TheBloke. Features: 34b LLM, VRAM: 12.8GB, License: apache-2.0, Quantized, LLM Explorer Score: 0.11.

Base model:quantized:triadpart... Base model:triadparty/deepmone... En Finance Gguf Invest Quantized Region:us Yi Zh

Model Card on HF 🤗: https://huggingface.co/TheBloke/deepmoney-34b-200k-base-GGUF

Deepmoney 34B 200K Base GGUF Parameters and Internals

LLM Name	Deepmoney 34B 200K Base GGUF
Repository 🤗	https://huggingface.co/TheBloke/deepmoney-34b-200k-base-GGUF
Model Name	Deepmoney 34B 200K Base
Model Creator	triad party
Base Model(s)	Deepmoney 34B 200K Base TriadParty/deepmoney-34b-200k-base
Model Size	34b
Required VRAM	12.8 GB
Updated	2026-07-08
Maintainer	TheBloke
Model Type	yi
Model Files	12.8 GB 18.1 GB 16.7 GB 15.0 GB 19.5 GB 20.7 GB 19.6 GB 23.7 GB 24.3 GB 23.7 GB 28.2 GB 36.5 GB
Supported Languages	en zh
GGUF Quantization	Yes
Quantization Type	gguf
Model Architecture	AutoModel
License	apache-2.0

Rank the Deepmoney 34B 200K Base 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

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Note: green Score (e.g. "73.2") means that the model is better than TheBloke/deepmoney-34b-200k-base-GGUF.