Deepmoney 34B 200K Chat Evaluator by TriadParty

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

Deepmoney 34B 200K Chat Evaluator Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
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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 NameDeepmoney 34B 200K Chat Evaluator
Repository ๐Ÿค—https://huggingface.co/TriadParty/deepmoney-34b-200k-chat-evaluator 
Model Size34b
Required VRAM2 GB
Updated2025-06-09
MaintainerTriadParty
Model Files  2.0 GB   0.0 GB
Supported Languageszh en
Model ArchitectureAdapter
Licenseapache-2.0
Model Max Length200000
Is Biasednone
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
PEFT TypeLORA
LoRA ModelYes
PEFT Target Modulesdown_proj|o_proj|v_proj|k_proj|q_proj|gate_proj|up_proj
LoRA Alpha256
LoRA Dropout0
R Param128
Deepmoney 34B 200K Chat Evaluator (TriadParty/deepmoney-34b-200k-chat-evaluator)

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VRAM
...y 34B 200K Chat Evaluator GGUF1114412 GB
...y 34B 200K Chat Evaluator GPTQ32318 GB
...ey 34B 200K Chat Evaluator AWQ51519 GB

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

Rank the Deepmoney 34B 200K Chat Evaluator 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124