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Llama Spark by arcee-ai

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Llama Spark is an open-source language model by arcee-ai. Features: 8b LLM, VRAM: 32.1GB, Context: 128K, License: llama3, LLM Explorer Score: 0.22.

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

Llama Spark Benchmarks

LLME Score: 0.22147
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)
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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
Updated2026-05-24
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

Best Alternatives to Llama Spark

Best Alternatives
Context / RAM
Downloads
Likes
...otron 8B UltraLong 4M Instruct4192K / 32.1 GB156119
UltraLong Thinking4192K / 16.1 GB103
...a 3.1 8B UltraLong 4M Instruct4192K / 32.1 GB17624
...a 3.1 8B UltraLong 2M Instruct2096K / 32.1 GB8759
...otron 8B UltraLong 2M Instruct2096K / 32.1 GB11917
Cthulhu 8B V1.41048K / 16.1 GB129
...raLong 1M Instruct Abliterated1048K / 32.1 GB109
...otron 8B UltraLong 1M Instruct1048K / 32.1 GB205957
...a 3.1 8B UltraLong 1M Instruct1048K / 32.1 GB138729
...xis Bookwriter Llama3.1 8B Sft1048K / 16.1 GB174
Note: green Score (e.g. "73.2") means that the model is better than arcee-ai/Llama-Spark.

Rank the Llama Spark 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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