What are the hardware requirements for Deepmoney 34B 200K Chat Evaluator?

Deepmoney 34B 200K Chat Evaluator requires approximately 2 GB of VRAM. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Deepmoney 34B 200K Chat Evaluator and how large is it?

Deepmoney 34B 200K Chat Evaluator is developed by TriadParty, 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 Chat Evaluator?

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

Deepmoney 34B 200K Chat Evaluator by TriadParty — VRAM 2GB

Name: Deepmoney 34B 200K Chat Evaluator
Author: TriadParty

Deepmoney 34B 200K Chat Evaluator is an open-source language model by TriadParty. Features: 34b LLM, VRAM: 2GB, License: apache-2.0, LLM Explorer Score: 0.1.

Adapter Dataset:triadparty/deepmoney-s... En Finance Finetuned Lora Region:us Safetensors Zh

Model Card on HF 🤗: https://huggingface.co/TriadParty/deepmoney-34b-200k-chat-evaluator

Deepmoney 34B 200K Chat Evaluator Parameters and Internals

Model Type

financial analysis, text generation

Use Cases

Areas:

finance

Applications:

financial analysis, investment expertise analytics

Supported Languages

English (full), Chinese (full)

Training Details

Data Sources:

TriadParty/deepmoney-sft

Methodology:

Analyst model trained on deepmoney-34b, using Alpaca format to demonstrate expertise in financial contexts.

LLM Name	Deepmoney 34B 200K Chat Evaluator
Repository 🤗	https://huggingface.co/TriadParty/deepmoney-34b-200k-chat-evaluator
Model Size	34b
Required VRAM	2 GB
Updated	2026-07-26
Maintainer	TriadParty
Model Files	2.0 GB 0.0 GB
Supported Languages	zh en
Model Architecture	Adapter
License	apache-2.0
Model Max Length	200000
Is Biased	none
Tokenizer Class	LlamaTokenizer
Padding Token	<unk>
PEFT Type	LORA
LoRA Model	Yes
PEFT Target Modules	down_proj\|o_proj\|v_proj\|k_proj\|q_proj\|gate_proj\|up_proj
LoRA Alpha	256
LoRA Dropout	0
R Param	128

Rank the Deepmoney 34B 200K Chat Evaluator 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

Quantized Models of the Deepmoney 34B 200K Chat Evaluator

Model	Likes	Downloads	VRAM
...y 34B 200K Chat Evaluator GGUF	11	1054	12 GB
...ey 34B 200K Chat Evaluator AWQ	5	5	19 GB
...y 34B 200K Chat Evaluator GPTQ	3	8	18 GB

Best Alternatives to Deepmoney 34B 200K Chat Evaluator

Best Alternatives	Context / RAM	Downloads	Likes
30B 2e	0K / 0 GB	5	0
...34B 200K AEZAKMI RAW 2301 LoRA	0K / 0.5 GB	0	1
Airoboros 34B 3.3 Peft	0K / 0.5 GB	0	1
Bagel 34B V0.5 Peft	0K / 0.5 GB	0	1
34B Beta Onc V1	0K / 0 GB	4	1
Deacon 34B Qlora Adapter	0K / 0.1 GB	0	2
...awrr V1 Run1 Experimental LoRA	0K / 0.5 GB	6	1
...awrr1 LORA DPO Experimental R2	0K / 0.1 GB	3	1
Yi 34B 200K MiniOrca Adapter	0K / 0.1 GB	0	1
Yi 34B Alpaca Cot Lora	0K / 0.1 GB	0	15

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