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NanoLM 1B Instruct V1.1 by Mxode

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Model Card on HF 🤗: https://huggingface.co/Mxode/NanoLM-1B-Instruct-v1.1 

NanoLM 1B Instruct V1.1 Benchmarks

MMLU Pro: 2.39
GPQA: 1.79
MUSR: 2.68
BBH: 6.11
IFEval: 23.95 vs 88 (so35)-72.8%
MATH Lvl 5: 2.95
LLME Score: 0.23521
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 V1.1 (Mxode/NanoLM-1B-Instruct-v1.1)

NanoLM 1B Instruct V1.1 Parameters and Internals

Model Type 
text2text-generation
Additional Notes 
The model is intended for text2text-generation tasks in different fields like chemistry, biology, finance, legal, music, art, code, climate, and medical domains.
Supported Languages 
en (full)
LLM NameNanoLM 1B Instruct V1.1
Repository 🤗https://huggingface.co/Mxode/NanoLM-1B-Instruct-v1.1 
Model Size1b
Required VRAM2.1 GB
Updated2025-01-14
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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ECE PRYMMAL1B FT V132K / 6.2 GB130
NanoLM 1B Instruct V24K / 2.1 GB220
Note: green Score (e.g. "73.2") means that the model is better than Mxode/NanoLM-1B-Instruct-v1.1.

Rank the NanoLM 1B Instruct V1.1 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 v20241227
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