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Arcee Spark by arcee-ai

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

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  Ar   Conversational   De   Deploy:azure   En   Endpoints compatible   Model-index   Qwen2   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/arcee-ai/Arcee-Spark 

Arcee Spark Benchmarks

MMLU Pro: 31.26
GPQA: 7.49
MUSR: 8.4
BBH: 36.92
IFEval: 57.18 vs 88 (so35)-35%
MATH Lvl 5: 11.4
LLME Score: 0.24946
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Arcee Spark (arcee-ai/Arcee-Spark)
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Arcee Spark Parameters and Internals

Model Type 
text-generation
Use Cases 
Areas:
business, real-time applications, edge computing, cost-effective scaling, rapid prototyping, on-premise deployment
Applications:
chatbots, customer service automation, interactive systems, edge devices, AI-powered features
Primary Use Cases:
real-time applications, rapid prototyping, edge computing, on-premise deployment
Additional Notes 
Arcee Spark demonstrates that bigger isn't always better. By leveraging advanced training techniques and architectural optimizations, it delivers speed, efficiency, and flexibility. Despite its compact size, Arcee Spark offers deep reasoning capabilities.
Supported Languages 
en (full), de (partial), ar (partial)
Training Details 
Data Volume:
1.8 million samples
Methodology:
Fine-tuned, merged with Qwen2-7B-Instruct using Arcee's mergekit and further refined using Direct Preference Optimization (DPO)
Context Length:
128000
LLM NameArcee Spark
Repository 🤗https://huggingface.co/arcee-ai/Arcee-Spark 
Model Size7.6b
Required VRAM15.2 GB
Updated2026-02-14
Maintainerarcee-ai
Model Typeqwen2
Model Files  4.9 GB: 1-of-4   4.9 GB: 2-of-4   4.3 GB: 3-of-4   1.1 GB: 4-of-4
Supported Languagesen de ar
Model ArchitectureQwen2ForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.41.2
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size152064
Torch Data Typebfloat16
Errorsreplace

Best Alternatives to Arcee Spark

Best Alternatives
Context / RAM
Downloads
Likes
Qwen2.5128K / 15.2 GB50
XJJ DeepSeek R1 COT128K / 0.1 GB50
SuperNova Medius Bf16128K / 29.6 GB1222
C3D4e5F6128K / 1 GB6300
Qwerty2 05bita128K / 1 GB5690
B2C3D4e5128K / 1 GB500
Mxbai Rerank Large V232K / 3.1 GB5414124
KYRA 1.0X Horizon32K / 29.7 GB51
RP Jp 232K / 1 GB61
Qwen Coder7B Finetune32K / 15.2 GB180
Note: green Score (e.g. "73.2") means that the model is better than arcee-ai/Arcee-Spark.

Rank the Arcee 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124
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