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Fin Llama 33B Merged by bavest

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Fin Llama 33B Merged Benchmarks

ARC: 65.02 vs 96.7 (so35)-32.8%
HellaSwag: 86.2 vs 95.3 (gpt4)-9.5%
MMLU: 58.73 vs 88.3 (so35)-33.5%
TruthfulQA: 49.75 vs 59 (gpt4)-15.7%
WinoGrande: 80.03 vs 87.5 (gpt4)-8.5%
GSM8K: 16.22 vs 96.4 (so35)-83.2%
LLME Score: 0.15916
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Fin Llama 33B Merged Parameters and Internals

LLM NameFin Llama 33B Merged
Repository 🤗https://huggingface.co/bavest/fin-llama-33b-merged 
Model Size33b
Required VRAM65.2 GB
Updated2024-09-18
Maintainerbavest
Model Typellama
Model Files  9.8 GB: 1-of-7   10.0 GB: 2-of-7   9.9 GB: 3-of-7   9.9 GB: 4-of-7   9.9 GB: 5-of-7   10.0 GB: 6-of-7   5.7 GB: 7-of-7
Model ArchitectureLlamaForCausalLM
Licensegpl
Context Length2048
Model Max Length2048
Transformers Version4.29.2
Tokenizer ClassLlamaTokenizer
Beginning of Sentence Token<s>
End of Sentence Token</s>
Unk Token<unk>
Vocabulary Size32000
Torch Data Typefloat16
Fin Llama 33B Merged (bavest/fin-llama-33b-merged)

Quantized Models of the Fin Llama 33B Merged

Model
Likes
Downloads
VRAM
Fin Llama 33B GGUF08113 GB
Fin Llama 33B AWQ41217 GB
Fin Llama 33B GPTQ71716 GB

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Note: green Score (e.g. "73.2") means that the model is better than bavest/fin-llama-33b-merged.

Rank the Fin Llama 33B Merged 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 v2024072803
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