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Llama 3.1 8B Instruct Finance Analyst by Wengwengwhale

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Llama 3.1 8B Instruct Finance Analyst is an open-source language model by Wengwengwhale. Features: 8b LLM, VRAM: 16.1GB, Context: 128K, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.15.

  Autotrain compatible Base model:finetune:unsloth/me... Base model:unsloth/meta-llama-...   Conversational   En   Endpoints compatible   Instruct   Llama   Region:us   Safetensors   Sharded   Tensorflow   Trl   Unsloth
Model Card on HF 🤗: https://huggingface.co/Wengwengwhale/llama-3.1-8B-Instruct-finance-analyst 

Llama 3.1 8B Instruct Finance Analyst Benchmarks

LLME Score: 0.15028
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Llama 3.1 8B Instruct Finance Analyst (Wengwengwhale/llama-3.1-8B-Instruct-finance-analyst)
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Llama 3.1 8B Instruct Finance Analyst Parameters and Internals

Model Type 
text-generation-inference, transformers
Supported Languages 
en ()
Training Details 
Methodology:
This llama model was trained 2x faster using Unsloth and Huggingface's TRL library.
LLM NameLlama 3.1 8B Instruct Finance Analyst
Repository 🤗https://huggingface.co/Wengwengwhale/llama-3.1-8B-Instruct-finance-analyst 
Base Model(s)  unsloth/Meta-Llama-3.1-8B-Instruct   unsloth/Meta-Llama-3.1-8B-Instruct
Model Size8b
Required VRAM16.1 GB
Updated2025-10-08
MaintainerWengwengwhale
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
Licenseapache-2.0
Context Length131072
Model Max Length131072
Transformers Version4.44.0
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|finetune_right_pad_id|>
Vocabulary Size128256
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than Wengwengwhale/llama-3.1-8B-Instruct-finance-analyst.

Rank the Llama 3.1 8B Instruct Finance Analyst 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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