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Math Instruct V1 by kaushik-harsh-99

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Math Instruct V1 is an open-source language model by kaushik-harsh-99. Features: 0.6b LLM, VRAM: 1.2GB, Context: 32K, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.31.

Base model:finetune:qwen/qwen3...   Base model:qwen/qwen3-0.6b Dataset:nvidia/openmathinstruc...   En   Endpoints compatible   Instruct   Math   Mathematics   Qwen3   Region:us   Safetensors   Sft
Model Card on HF 🤗: https://huggingface.co/kaushik-harsh-99/Math-Instruct-v1 

Math Instruct V1 Benchmarks

LLME Score: 0.30911
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Math Instruct V1 (kaushik-harsh-99/Math-Instruct-v1)
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Math Instruct V1 Parameters and Internals

LLM NameMath Instruct V1
Repository 🤗https://huggingface.co/kaushik-harsh-99/Math-Instruct-v1 
Base Model(s)  Qwen/Qwen3-0.6B   Qwen/Qwen3-0.6B
Model Size0.6b
Required VRAM1.2 GB
Updated2026-06-07
Maintainerkaushik-harsh-99
Model Typeqwen3
Instruction-BasedYes
Model Files  1.2 GB
Supported Languagesen
Model ArchitectureQwen3ForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Tokenizer ClassQwen2Tokenizer
Padding Token<|PAD_TOKEN|>
Vocabulary Size151936
Torch Data Typebfloat16
Errorsreplace

Best Alternatives to Math Instruct V1

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Supertron2.1 0.6B40K / 0.8 GB02
Qwen3 0.6B Instruct40K / 1.5 GB290
Luth 0.6B Instruct40K / 1.2 GB14119
... 0.6B Instruction Finetuned V232K / 1.2 GB170
...en3 0.6B Instruction Finetuned32K / 1.2 GB250

Rank the Math Instruct V1 Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
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Text Summarization and Feature Extraction  
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Multi-Language Support and Translation  

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