NanoLM 1B Instruct V2 by Mxode

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Dataset:mxode/magpie-pro-10k-g...   En   Instruct   Qwen2   Region:us   Safetensors

NanoLM 1B Instruct V2 Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
NanoLM 1B Instruct V2 (Mxode/NanoLM-1B-Instruct-v2)

NanoLM 1B Instruct V2 Parameters and Internals

Model Type 
text2text-generation
Supported Languages 
en (English)
Training Details 
Data Volume:
over 4 million high-quality instruction data points
Model Architecture:
Qwen2ForCausalLM
LLM NameNanoLM 1B Instruct V2
Repository ๐Ÿค—https://huggingface.co/Mxode/NanoLM-1B-Instruct-v2 
Model Size1b
Required VRAM2.1 GB
Updated2025-02-05
MaintainerMxode
Model Typeqwen2
Instruction-BasedYes
Model Files  2.1 GB
Supported Languagesen
Model ArchitectureQwen2ForCausalLM
Licensegpl-3.0
Context Length4096
Model Max Length4096
Transformers Version4.42.0
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size151936
Torch Data Typebfloat16
Errorsreplace

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Context / RAM
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Qwen2.5 1B Instruct32K / 2 GB870
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NanoLM 1B Instruct V1.14K / 2.1 GB50
Note: green Score (e.g. "73.2") means that the model is better than Mxode/NanoLM-1B-Instruct-v2.

Rank the NanoLM 1B Instruct V2 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227