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

Deepmoney 34B 200K Chat Evaluator GPTQ requires approximately 18.6 GB of VRAM and supports a context window of 195K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

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

Deepmoney 34B 200K Chat Evaluator GPTQ 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 Chat Evaluator GPTQ?

Deepmoney 34B 200K Chat Evaluator GPTQ 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 GPTQ by TheBloke — VRAM 18.6GB, 195K context

Name: Deepmoney 34B 200K Chat Evaluator GPTQ
Author: TheBloke

Deepmoney 34B 200K Chat Evaluator GPTQ is an open-source language model by TheBloke. Features: 34b LLM, VRAM: 18.6GB, Context: 195K, License: apache-2.0, Quantized, LLM Explorer Score: 0.1.

4-bit Base model:quantized:triadpart... Base model:triadparty/deepmone... Dataset:triadparty/deepmoney-s... En Finance Fp16 Gptq Llama Quantized Region:us Safetensors Zh

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

Deepmoney 34B 200K Chat Evaluator GPTQ Parameters and Internals

Model Type

Supported Languages

zh (Proficient), en (Proficient)

Input Output

Input Format:

{system_message} ### Instruction: {prompt} ### Response:

LLM Name	Deepmoney 34B 200K Chat Evaluator GPTQ
Repository 🤗	https://huggingface.co/TheBloke/deepmoney-34b-200k-chat-evaluator-GPTQ
Model Name	Deepmoney 34B 200K Chat Evaluator
Model Creator	triad party
Base Model(s)	...pmoney 34B 200K Chat Evaluator TriadParty/deepmoney-34b-200k-chat-evaluator
Model Size	34b
Required VRAM	18.6 GB
Updated	2026-05-23
Maintainer	TheBloke
Model Type	llama
Model Files	18.6 GB
Supported Languages	zh en
GPTQ Quantization	Yes
Quantization Type	fp16\|gptq
Model Architecture	LlamaForCausalLM
License	apache-2.0
Context Length	200000
Model Max Length	200000
Transformers Version	4.37.0.dev0
Tokenizer Class	LlamaTokenizer
Padding Token	<unk>
Vocabulary Size	64000
Torch Data Type	float16

Rank the Deepmoney 34B 200K Chat Evaluator GPTQ 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 Deepmoney 34B 200K Chat Evaluator GPTQ

Best Alternatives	Context / RAM	Downloads	Likes
Yi 34B 200K RPMerge GPTQ	195K / 21.2 GB	2	4
Smaug 34B V0.1 GPTQ	195K / 21.2 GB	1	1
Tess 34B V1.5B GPTQ	195K / 18.6 GB	18	8
...4B 200K DARE Megamerge V8 GPTQ	195K / 18.6 GB	4	3
Deepmoney 34B 200K Base GPTQ	195K / 18.6 GB	3	3
...ous Capybara Limarpv3 34B GPTQ	195K / 18.6 GB	11	4
Bagel 34B V0.2 GPTQ	195K / 18.6 GB	7	2
Bagel DPO 34B V0.2 GPTQ	195K / 18.6 GB	5	2
Nontoxic Bagel 34B V0.2 GPTQ	195K / 18.6 GB	3	1
Yi 34B 200K AEZAKMI V2 GPTQ	195K / 18.6 GB	6	2

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