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Caller by arcee-ai

 »  All LLMs  »  arcee-ai  »  Caller   URL Share it on

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Base model:finetune:qwen/qwen2...   Base model:qwen/qwen2.5-32b   Codegen   Instruct   Qwen2   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/arcee-ai/Caller 

Caller Benchmarks

LLME Score: 0.27663
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Caller (arcee-ai/Caller)
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Caller Parameters and Internals

LLM NameCaller
Repository 🤗https://huggingface.co/arcee-ai/Caller 
Base Model(s)  Qwen/Qwen2.5-32B   Qwen/Qwen2.5-32B
Model Size32b
Required VRAM65.8 GB
Updated2025-07-02
Maintainerarcee-ai
Model Typeqwen2
Instruction-BasedYes
Model Files  4.9 GB: 1-of-14   4.9 GB: 2-of-14   4.9 GB: 3-of-14   4.9 GB: 4-of-14   4.9 GB: 5-of-14   4.9 GB: 6-of-14   4.9 GB: 7-of-14   4.9 GB: 8-of-14   4.9 GB: 9-of-14   4.9 GB: 10-of-14   4.9 GB: 11-of-14   4.9 GB: 12-of-14   4.9 GB: 13-of-14   2.1 GB: 14-of-14
Generates CodeYes
Model ArchitectureQwen2ForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.46.1
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size152064
Torch Data Typebfloat16
Errorsreplace

Best Alternatives to Caller

Best Alternatives
Context / RAM
Downloads
Likes
...y Qwen2.5coder 32B V24.1q 200K195K / 65.8 GB152
Qwen2.5 32B YOYO MIX128K / 65.7 GB192
Qwen2.5 Coder 32B YOYO128K / 65.8 GB162
QwQ Qwen2.5 Coder Instruct 32B128K / 65.8 GB430
QwQenSeek Coder128K / 65.7 GB125
Rombos Coder V2.5 Qwen 32B128K / 65.8 GB3719
Tessa T1 32B117K / 65.8 GB3721
UIGEN T1.5 32B117K / 65.8 GB2512
Qwen2.5 Coder 32B Instruct32K / 65.8 GB975011891
Skywork SWE 32B32K / 65.8 GB111867
Note: green Score (e.g. "73.2") means that the model is better than arcee-ai/Caller.

Rank the Caller 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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