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Finance Dolphin 2.9.1 Yi 1.5 34B Lora by baconnier

 »  All LLMs  »  baconnier  »  Finance Dolphin 2.9.1 Yi 1.5 34B Lora   URL Share it on

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Base model:cognitivecomputatio... Base model:finetune:cognitivec...   En   Endpoints compatible   Llama   Lora   Region:us   Safetensors   Trl   Unsloth
Model Card on HF 🤗: https://huggingface.co/baconnier/Finance_dolphin-2.9.1-yi-1.5-34b_lora 

Finance Dolphin 2.9.1 Yi 1.5 34b Lora Benchmarks

LLME Score: 0.1614
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Finance Dolphin 2.9.1 Yi 1.5 34B Lora (baconnier/Finance_dolphin-2.9.1-yi-1.5-34b_lora)
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Finance Dolphin 2.9.1 Yi 1.5 34B Lora Parameters and Internals

Model Type 
text-generation-inference
Additional Notes 
This model was trained 2x faster with Unsloth.
Supported Languages 
en ()
Training Details 
Methodology:
Finetuned using Huggingface's TRL library and Unsloth.
LLM NameFinance Dolphin 2.9.1 Yi 1.5 34b Lora
Repository 🤗https://huggingface.co/baconnier/Finance_dolphin-2.9.1-yi-1.5-34b_lora 
Base Model(s)  cognitivecomputations/dolphin-2.9.1-yi-1.5-34b   cognitivecomputations/dolphin-2.9.1-yi-1.5-34b
Model Size34b
Required VRAM3.9 GB
Updated2025-02-09
Maintainerbaconnier
Model Files  3.9 GB
Supported Languagesen
Model ArchitectureAutoModel
Licenseapache-2.0
Model Max Length8192
Is Biasednone
Tokenizer ClassLlamaTokenizer
Padding Token<|im_end|>
PEFT TypeLORA
LoRA ModelYes
PEFT Target Modulesq_proj|v_proj|o_proj|up_proj|k_proj|gate_proj|down_proj
LoRA Alpha32
LoRA Dropout0
R Param128

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Note: green Score (e.g. "73.2") means that the model is better than baconnier/Finance_dolphin-2.9.1-yi-1.5-34b_lora.

Rank the Finance Dolphin 2.9.1 Yi 1.5 34B Lora 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  
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Multi-Language Support and Translation  

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