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Llama 3.1 Storm 8B by akjindal53244

 »  All LLMs  »  akjindal53244  »  Llama 3.1 Storm 8B   URL Share it on

  13947   
  Arxiv:1803.05457   Arxiv:2109.07958   Arxiv:2210.09261   Arxiv:2310.16049   Arxiv:2311.07911   Arxiv:2311.12022   Arxiv:2406.01574   Arxiv:2406.06623   Autotrain compatible   Axolotl   Conversational   De   Doi:10.57967/hf/2902   En   Endpoints compatible   Es   Finetuning   Fr   Function calling   Hi   Instruction following   It   Llama   Llama-3.1   Mergekit   Model-index   Pt   Reasoning   Region:us   Safetensors   Sharded   Tensorflow   Th
Model Card on HF 🤗: https://huggingface.co/akjindal53244/Llama-3.1-Storm-8B 

Llama 3.1 Storm 8B Benchmarks

MMLU Pro: 31.15
GPQA: 10.18
MUSR: 9.12
BBH: 31.49
IFEval: 80.51 vs 88 (so35)-8.5%
MATH Lvl 5: 17.22
LLME Score: 0.3263
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 Storm 8B (akjindal53244/Llama-3.1-Storm-8B)
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Llama 3.1 Storm 8B Parameters and Internals

Model Type 
text-generation, conversational, instruction following, reasoning, function calling
Use Cases 
Areas:
research, commercial applications
Applications:
instruction-following, knowledge-driven QA, reasoning, truthful answer generation, function calling
Primary Use Cases:
Conversational AI, Function Calling
Additional Notes 
Model merging was done using SLERP method with Llama-Spark model.
Supported Languages 
en (Proficient), de (Proficient), fr (Proficient), it (Proficient), pt (Proficient), hi (Proficient), es (Proficient), th (Proficient)
Training Details 
Data Sources:
open-source data
Data Volume:
~2.8 million examples
Methodology:
Self-Curation and Spectrum-based targeted fine-tuning
Model Architecture:
Llama
Input Output 
Input Format:
Transformed user queries using chat-template
Accepted Modalities:
text
Output Format:
Generated text responses
Performance Tips:
Use bfloat16 model type for optimal performance.
LLM NameLlama 3.1 Storm 8B
Repository 🤗https://huggingface.co/akjindal53244/Llama-3.1-Storm-8B 
Model Size8b
Required VRAM16.1 GB
Updated2025-09-23
Maintainerakjindal53244
Model Typellama
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 de fr it pt hi es th
Model ArchitectureLlamaForCausalLM
Licensellama3.1
Context Length131072
Model Max Length131072
Transformers Version4.44.0
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|end_of_text|>
Vocabulary Size128256
Torch Data Typebfloat16

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Rank the Llama 3.1 Storm 8B 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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Release v20241124
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