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NanoLM 1B Instruct V2 by Mxode

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  Conversational Dataset:mxode/magpie-pro-10k-g...   En   Instruct   Qwen2   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/Mxode/NanoLM-1B-Instruct-v2 

NanoLM 1B Instruct V2 Benchmarks

MMLU Pro: 2.64
GPQA: 1.79
MUSR: 4.33
BBH: 4.91
IFEval: 26.3 vs 88 (so35)-70.1%
MATH Lvl 5: 4.15
LLME Score: 0.20165
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)
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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 🤗https://huggingface.co/Mxode/NanoLM-1B-Instruct-v2 
Model Size1b
Required VRAM2.1 GB
Updated2025-09-23
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

Best Alternatives to NanoLM 1B Instruct V2

Best Alternatives
Context / RAM
Downloads
Likes
Qwen2.5 1B Instruct32K / 2 GB12510
PRYMMAL ECE 1B SLERP V132K / 9.7 GB50
ECE 1B Merge PRYMMAL32K / 3.6 GB60
MilkyLoong Qwen2.5 1.5B Base132K / 3.1 GB50
ECE PRYMMAL1B FT V132K / 6.2 GB60
Sailor2 1B Chat4K / 2 GB98816
NanoLM 1B Instruct V1.14K / 2.1 GB61
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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Release v20241124
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