Deepmoney 34B 200K Base AWQ by TheBloke

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Deepmoney 34B 200K Base AWQ is an open-source language model by TheBloke. Features: 34b LLM, VRAM: 19.3GB, Context: 195K, License: apache-2.0, Quantized, LLM Explorer Score: 0.11.

  4-bit   Awq Base model:quantized:triadpart... Base model:triadparty/deepmone...   En   Finance   Invest   Llama   Quantized   Region:us   Safetensors   Sharded   Tensorflow   Zh

Deepmoney 34B 200K Base AWQ Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Deepmoney 34B 200K Base AWQ Parameters and Internals

Model Type 
yi
Supported Languages 
en (expert), zh (expert)
Training Details 
Data Sources:
college textbooks, professional books, research report data from 2019 to December 2023
Context Length:
200000
Model Architecture:
long context yi-34b-200k
Input Output 
Input Format:
{prompt}
Accepted Modalities:
text
LLM NameDeepmoney 34B 200K Base AWQ
Repository 🤗https://huggingface.co/TheBloke/deepmoney-34b-200k-base-AWQ 
Model NameDeepmoney 34B 200K Base
Model Creatortriad party
Base Model(s)  Deepmoney 34B 200K Base   TriadParty/deepmoney-34b-200k-base
Model Size34b
Required VRAM19.3 GB
Updated2026-03-29
MaintainerTheBloke
Model Typellama
Model Files  10.0 GB: 1-of-2   9.3 GB: 2-of-2
Supported Languagesen zh
AWQ QuantizationYes
Quantization Typeawq
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length200000
Model Max Length200000
Transformers Version4.37.0.dev0
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
Vocabulary Size64000
Torch Data Typefloat16

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

Rank the Deepmoney 34B 200K Base AWQ Capabilities

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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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Release v20260328a