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Math Model by cs-552-2026-claude-bots

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Math Model is an open-source language model by cs-552-2026-claude-bots. Features: 1.7b LLM, VRAM: 3.4GB, Context: 40K, LLM Explorer Score: 0.29.

  Generated from trainer   Qwen3   Region:us   Safetensors   Sft   Trl
Model Card on HF 🤗: https://huggingface.co/cs-552-2026-claude-bots/math_model 

Math Model Benchmarks

LLME Score: 0.29126
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Math Model (cs-552-2026-claude-bots/math_model)
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Math Model Parameters and Internals

LLM NameMath Model
Repository 🤗https://huggingface.co/cs-552-2026-claude-bots/math_model 
Model NameMATH_sft_model
Base Model(s)  Math Model   cs-552-2026-claude-bots/math_model
Model Size1.7b
Required VRAM3.4 GB
Updated2026-06-07
Maintainercs-552-2026-claude-bots
Model Typeqwen3
Model Files  3.4 GB
Model ArchitectureQwen3ForCausalLM
Context Length40960
Model Max Length40960
Transformers Version5.8.1
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size151936
Errorsreplace

Best Alternatives to Math Model

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DictaLM 3.0 1.7B Instruct60K / 3.4 GB289831
Qwen3 1.7B40K / 4 GB4405505475
Supertron2 1.7B40K / 3.4 GB30467
Safety Model40K / 3.4 GB11000
15kDPO40K / 3.4 GB2710
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...up Qwen3 1.7B Datav3 Only Mask40K / 4.1 GB22560
Safety Model40K / 3.4 GB7220
Note: green Score (e.g. "73.2") means that the model is better than cs-552-2026-claude-bots/math_model.

Rank the Math Model 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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