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Llama Spark by arcee-ai

 »  All LLMs  »  arcee-ai  »  Llama Spark   URL Share it on

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  Autotrain compatible   Conversational   Endpoints compatible   Llama   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/arcee-ai/Llama-Spark 

Llama Spark Benchmarks

MMLU Pro: 30.23
GPQA: 6.6
MUSR: 2.62
BBH: 29.77
IFEval: 79.11 vs 88 (so35)-10.1%
MATH Lvl 5: 1.21
LLME Score: 0.32096
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Llama Spark (arcee-ai/Llama-Spark)

Llama Spark Parameters and Internals

Model Type 
Conversational AI
Use Cases 
Areas:
Conversational AI
Applications:
chatbots, virtual assistants, dialogue systems
Additional Notes 
Successor to the original Arcee-Spark, improved to maintain leadership in the 6-9B parameter range.
Training Details 
Data Sources:
Tome Dataset
Methodology:
Fine-tuned and merged with Llama-3.1-8B-Instruct
LLM NameLlama Spark
Repository 🤗https://huggingface.co/arcee-ai/Llama-Spark 
Model Size8b
Required VRAM32.1 GB
Updated2025-02-05
Maintainerarcee-ai
Model Typellama
Model Files  4.9 GB: 1-of-7   4.8 GB: 2-of-7   5.0 GB: 3-of-7   5.0 GB: 4-of-7   4.8 GB: 5-of-7   5.0 GB: 6-of-7   2.6 GB: 7-of-7
Model ArchitectureLlamaForCausalLM
Licensellama3
Context Length131072
Model Max Length131072
Transformers Version4.43.1
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|end_of_text|>
Vocabulary Size128256
Torch Data Typefloat32

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Note: green Score (e.g. "73.2") means that the model is better than arcee-ai/Llama-Spark.

Rank the Llama Spark 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 v20241227
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