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Fin Llama 33B Merged by bavest

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Fin Llama 33B Merged is an open-source language model by bavest. Features: 33b LLM, VRAM: 65.2GB, Context: 2K, License: gpl, LLM Explorer Score: 0.1, Arc: 65, HellaSwag: 86.2, MMLU: 58.7, GSM8K: 16.2.

Dataset:bavest/fin-llama-datas...   Deploy:azure   Endpoints compatible   Finance   Llama   Pytorch   Region:us   Sharded   Trading
Model Card on HF 🤗: https://huggingface.co/bavest/fin-llama-33b-merged 

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%
GSM8K: 16.22 vs 96.4 (so35)-83.2%
LLME Score: 0.1049
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 (bavest/fin-llama-33b-merged)
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Fin Llama 33B Merged Parameters and Internals

Model Type 
finance, llm, llama, trading
Use Cases 
Areas:
finance
Limitations:
4-bit inference is slow, Instabilities using 'fp16' compute type, Tokenizer.bos_token_id must be 1
Additional Notes 
Acknowledgement to Meta for LLaMA models, builds on several repos including Stanford Alpaca, QLoRA, Chinese-Guanaco, and LMSYS FastChat
Training Details 
Data Sources:
bavest/fin-llama-dataset
Methodology:
Based on QLoRA finetuning with 4-bit quantization
LLM NameFin Llama 33B Merged
Repository 🤗https://huggingface.co/bavest/fin-llama-33b-merged 
Model Size33b
Required VRAM65.2 GB
Updated2026-05-20
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

Quantized Models of the Fin Llama 33B Merged

Model
Likes
Downloads
VRAM
Fin Llama 33B GGUF399713 GB
Fin Llama 33B AWQ51217 GB
Fin Llama 33B GPTQ73516 GB

Best Alternatives to Fin Llama 33B Merged

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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

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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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