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Deepmoney 34B 200K Base by TriadParty

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Deepmoney 34B 200K Base is an open-source language model by TriadParty. Features: 34b LLM, VRAM: 68.9GB, Context: 195K, License: apache-2.0, HF Score: 58.2, LLM Explorer Score: 0.15, Arc: 64, HellaSwag: 83.9, MMLU: 74, TruthfulQA: 45.9, WinoGrande: 81.5.

  En   Endpoints compatible   Finance   Invest   Llama   Pytorch   Region:us   Sharded   Zh
Model Card on HF 🤗: https://huggingface.co/TriadParty/deepmoney-34b-200k-base 

Deepmoney 34B 200K Base Benchmarks

ARC: 63.99 vs 96.7 (so35)-33.8%
HellaSwag: 83.87 vs 95.3 (gpt4)-12%
MMLU: 74.04 vs 88.3 (so35)-16.1%
TruthfulQA: 45.93 vs 59 (gpt4)-22.2%
WinoGrande: 81.45 vs 87.5 (gpt4)-6.9%
LLME Score: 0.15032
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 (TriadParty/deepmoney-34b-200k-base)
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Deepmoney 34B 200K Base Parameters and Internals

Model Type 
Financial Analysis, Investment Judgments
Use Cases 
Areas:
Finance, Investing
Applications:
Investment Judgments, Qualitative and Quantitative Analysis
Primary Use Cases:
Investment pipeline creation, Information collection, Target judgment, Qualitative analysis, Quantitative analysis, Data extraction
Considerations:
For most retail investors, using a model like Deepmoney instead of waiting for an analyst's report is recommended.
Additional Notes 
Deepmoney is positioned as a cornerstone model in a larger pipeline for financial analysis, incorporating several specific analysis models.
Training Details 
Data Sources:
College textbooks, Professional books, Research report data from 2019 to December 2023
Methodology:
Full parameter training on Yi-34b model with long context (200k tokens)
Context Length:
200000
LLM NameDeepmoney 34B 200K Base
Repository 🤗https://huggingface.co/TriadParty/deepmoney-34b-200k-base 
Model Size34b
Required VRAM68.9 GB
Updated2026-04-21
MaintainerTriadParty
Model Typellama
Model Files  10.0 GB: 1-of-7   9.9 GB: 2-of-7   9.8 GB: 3-of-7   9.8 GB: 4-of-7   9.8 GB: 5-of-7   9.9 GB: 6-of-7   9.7 GB: 7-of-7
Supported Languagesen zh
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length200000
Model Max Length200000
Transformers Version4.36.2
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
Vocabulary Size64000
Torch Data Typefloat16

Quantized Models of the Deepmoney 34B 200K Base

Model
Likes
Downloads
VRAM
Deepmoney 34B 200K Base GGUF1515112 GB
Deepmoney 34B 200K Base GPTQ31018 GB
Deepmoney 34B 200K Base AWQ1719 GB

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

Rank the Deepmoney 34B 200K Base 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  
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