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Deepmoney 67B Chat by TriadParty

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  Autotrain compatible Dataset:triadparty/deepmoney-s...   Endpoints compatible   Llama   Pytorch   Region:us   Sharded
Model Card on HF 🤗: https://huggingface.co/TriadParty/deepmoney-67b-chat 

Deepmoney 67B Chat Benchmarks

LLME Score: 0.13864
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Deepmoney 67B Chat (TriadParty/deepmoney-67b-chat)
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Deepmoney 67B Chat Parameters and Internals

Model Type 
investment analysis, economic modeling
Additional Notes 
The model uses the same data as the 34b version for training.
Training Details 
Data Sources:
TriadParty/deepmoney-sft
Methodology:
1. pretrain with lora r = 512 2. SFT with lora r = 128
LLM NameDeepmoney 67B Chat
Repository 🤗https://huggingface.co/TriadParty/deepmoney-67b-chat 
Model Size67b
Required VRAM135 GB
Updated2025-08-16
MaintainerTriadParty
Model Typellama
Model Files  10.0 GB: 1-of-14   10.0 GB: 2-of-14   9.7 GB: 3-of-14   9.7 GB: 4-of-14   9.7 GB: 5-of-14   9.7 GB: 6-of-14   9.7 GB: 7-of-14   9.7 GB: 8-of-14   9.7 GB: 9-of-14   9.7 GB: 10-of-14   9.7 GB: 11-of-14   9.7 GB: 12-of-14   9.7 GB: 13-of-14   8.3 GB: 14-of-14
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length4096
Model Max Length4096
Transformers Version4.36.2
Tokenizer ClassLlamaTokenizer
Padding Token<｜end▁of▁sentence｜>
Vocabulary Size102400
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than TriadParty/deepmoney-67b-chat.

Rank the Deepmoney 67B Chat Capabilities

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124
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