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Llama 3.2 1B Instruct MATH Synthetic by Trelis

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Llama 3.2 1B Instruct MATH Synthetic is an open-source language model by Trelis. Features: 1b LLM, VRAM: 2.5GB, Context: 128K, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.15.

Base model:finetune:unsloth/ll... Base model:unsloth/llama-3.2-1...   Conversational   En   Endpoints compatible   Instruct   Llama   Region:us   Safetensors   Trl   Unsloth
Model Card on HF 🤗: https://huggingface.co/Trelis/Llama-3.2-1B-Instruct-MATH-synthetic 

Llama 3.2 1B Instruct MATH Synthetic Benchmarks

LLME Score: 0.15383
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Llama 3.2 1B Instruct MATH Synthetic (Trelis/Llama-3.2-1B-Instruct-MATH-synthetic)
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Llama 3.2 1B Instruct MATH Synthetic Parameters and Internals

Model Type 
text-generation-inference, transformers
Additional Notes 
This llama model was trained 2x faster with Unsloth and the Huggingface's TRL library.
Supported Languages 
English (fluent)
Training Details 
Methodology:
Unsloth and Huggingface's TRL library
LLM NameLlama 3.2 1B Instruct MATH Synthetic
Repository 🤗https://huggingface.co/Trelis/Llama-3.2-1B-Instruct-MATH-synthetic 
Base Model(s)  unsloth/Llama-3.2-1B-Instruct   unsloth/Llama-3.2-1B-Instruct
Model Size1b
Required VRAM2.5 GB
Updated2026-01-23
MaintainerTrelis
Model Typellama
Instruction-BasedYes
Model Files  2.5 GB
Supported Languagesen
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length131072
Model Max Length131072
Transformers Version4.44.2
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|finetune_right_pad_id|>
Vocabulary Size128256
Torch Data Typebfloat16

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Llama Nexora Vector V0.1128K / 2.5 GB361
Note: green Score (e.g. "73.2") means that the model is better than Trelis/Llama-3.2-1B-Instruct-MATH-synthetic.

Rank the Llama 3.2 1B Instruct MATH Synthetic 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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