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Llama 3 8B Instruct Finance RAG by curiousily

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Llama 3 8B Instruct Finance RAG is an open-source language model by curiousily. Features: 8b LLM, VRAM: 16.1GB, Context: 8K, License: llama3, Instruction-Based, LLM Explorer Score: 0.14.

Base model:finetune:meta-llama... Base model:meta-llama/meta-lla...   Conversational Dataset:virattt/financial-qa-1...   En   Endpoints compatible   Finance   Instruct   Llama   Region:us   Safetensors   Sharded   Tensorboard   Tensorflow
Model Card on HF 🤗: https://huggingface.co/curiousily/Llama-3-8B-Instruct-Finance-RAG 

Llama 3 8B Instruct Finance RAG Benchmarks

LLME Score: 0.14451
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Llama 3 8B Instruct Finance RAG (curiousily/Llama-3-8B-Instruct-Finance-RAG)
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Llama 3 8B Instruct Finance RAG Parameters and Internals

Model Type 
text generation
Use Cases 
Areas:
finance
Limitations:
Model is trained on a specific dataset and may not generalize to other domains.
Considerations:
Optimized for use in responding to questions based on provided context.
Supported Languages 
en (fluent)
Training Details 
Data Sources:
virattt/financial-qa-10K
Data Volume:
4000 examples
Methodology:
fine-tuning using a LoRA adapter for RAG use cases
Input Output 
Input Format:
<|begin_of_text|><|start_header_id|>system<|end_header_id|> Use only the information to answer the question<|eot_id|><|start_header_id|>user<|end_header_id|> {Prompt}<|eot_id|><|start_header_id|>assistant<|end_header_id|>
Accepted Modalities:
text
Output Format:
Generated text based on input prompt
Performance Tips:
Use the prompt format to improve results.
LLM NameLlama 3 8B Instruct Finance RAG
Repository 🤗https://huggingface.co/curiousily/Llama-3-8B-Instruct-Finance-RAG 
Base Model(s)  Meta Llama 3 8B Instruct   meta-llama/Meta-Llama-3-8B-Instruct
Model Size8b
Required VRAM16.1 GB
Updated2026-03-29
Maintainercuriousily
Model Typellama
Instruction-BasedYes
Model Files  5.0 GB: 1-of-4   5.0 GB: 2-of-4   4.9 GB: 3-of-4   1.2 GB: 4-of-4
Supported Languagesen
Model ArchitectureLlamaForCausalLM
Licensellama3
Context Length8192
Model Max Length8192
Transformers Version4.41.2
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|pad|>
Vocabulary Size128264
Torch Data Typefloat16

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Zero Llama 3.1 8B Beta61048K / 16.1 GB51
...dger Nu Llama 3.1 8B UltraLong1048K / 16.2 GB53
Note: green Score (e.g. "73.2") means that the model is better than curiousily/Llama-3-8B-Instruct-Finance-RAG.

Rank the Llama 3 8B Instruct Finance RAG 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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