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Iridium 72B V0.1 by leafspark

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Iridium 72B V0.1 is an open-source language model by leafspark. Features: 72b LLM, VRAM: 2.5GB, Context: 32K, License: other, LLM Explorer Score: 0.15.

  Conversational   En   Endpoints compatible   Mergekit   Qwen2   Region:us   Safetensors   Sharded   Tensorflow   Zh
Model Card on HF 🤗: https://huggingface.co/leafspark/Iridium-72B-v0.1 

Iridium 72B V0.1 Benchmarks

LLME Score: 0.14501
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Iridium 72B V0.1 (leafspark/Iridium-72B-v0.1)
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Iridium 72B V0.1 Parameters and Internals

LLM NameIridium 72B V0.1
Repository 🤗https://huggingface.co/leafspark/Iridium-72B-v0.1 
Model Size72b
Required VRAM2.5 GB
Updated2026-04-13
Maintainerleafspark
Model Typeqwen2
Model Files  2.5 GB: 31-of-31   2.5 GB   0.0 GB   0.5 GB   0.5 GB   0.5 GB   0.0 GB   0.0 GB   0.0 GB   0.1 GB   0.0 GB   0.1 GB   0.0 GB   0.0 GB   0.0 GB   0.5 GB   0.5 GB   0.5 GB   0.0 GB   0.0 GB   0.0 GB   0.1 GB   0.0 GB   0.1 GB   0.0 GB   0.0 GB   0.0 GB   0.5 GB   0.5 GB   0.5 GB   0.0 GB   0.0 GB   0.0 GB   0.1 GB   0.0 GB   0.1 GB   0.0 GB   0.0 GB   0.0 GB   0.5 GB   0.5 GB   0.5 GB   0.0 GB   0.0 GB   0.0 GB
Supported Languagesen zh
Model ArchitectureQwen2ForCausalLM
Licenseother
Context Length32768
Model Max Length32768
Transformers Version4.40.1
Vocabulary Size152064
Torch Data Typebfloat16

Best Alternatives to Iridium 72B V0.1

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Context / RAM
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...R10528DistillQwen 72B Preview3195K / 146 GB27
Qwen2.5 72B128K / 145.5 GB4790297
AceInstruct 72B128K / 146 GB229118
Ultiima 72B128K / 146.1 GB613
Homer V1.0 Qwen2.5 72B128K / 146.1 GB236
Ultiima 72B V1.5128K / 146.1 GB140
Qwen2 72B128K / 145.5 GB28695200
EVA Qwen2.5 72B V0.2128K / 146 GB7622
...n2.5 72B 2x Instruct TIES V1.0128K / 146.1 GB51
Dolphin 2.9.2 Qwen2 72B128K / 146 GB1515162
Note: green Score (e.g. "73.2") means that the model is better than leafspark/Iridium-72B-v0.1.

Rank the Iridium 72B V0.1 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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