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IcaroLM by alexsobolev

 »  All LLMs  »  alexsobolev  »  IcaroLM   URL Share it on

  131   
  4bit   Autotrain compatible   Conversational   Endpoints compatible   Gguf   Quantized   Qwen2   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/alexsobolev/IcaroLM 

IcaroLM Benchmarks

LLME Score: 0.19828
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
IcaroLM (alexsobolev/IcaroLM)

IcaroLM Parameters and Internals

Model Type 
Language Model
Use Cases 
Applications:
Mobile chatbots and virtual assistants, Emotional support applications, Task automation on mobile devices
LLM NameIcaroLM
Repository 🤗https://huggingface.co/alexsobolev/IcaroLM 
Model Size1.5b
Required VRAM3.1 GB
Updated2025-02-22
Maintaineralexsobolev
Model Typeqwen2
Model Files  3.1 GB
Quantization Type4bit
Model ArchitectureQwen2ForCausalLM
Licenseapache-2.0
Context Length131072
Model Max Length131072
Transformers Version4.41.2
Tokenizer ClassQwen2Tokenizer
Padding Token<|PAD_TOKEN|>
Vocabulary Size151936
Torch Data Typebfloat16

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...ill Qwen 1.5B Unsloth Bnb 4bit128K / 1.8 GB6564512
DeepSeek R1 ForumNXT128K / 3.5 GB370
Deep Ft5 Grp 16bit128K / 3.5 GB730
Atlas Flash 1.5B Preview128K / 3.5 GB1062
Model128K / 3.5 GB120
Qwen2 1.5B Bnb 4bit128K / 1.1 GB76316
Qwen2 1.5B 4bit128K / 0.9 GB200
...1.5B Instruct Unsloth Bnb 4bit32K / 1.5 GB189232
FastApply 1.5B V1.032K / 3.1 GB1388121
Note: green Score (e.g. "73.2") means that the model is better than alexsobolev/IcaroLM.

Rank the IcaroLM 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 v20241227
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