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Llama 3.2 1B Instruct Sum 10K 2Mar 2025 A100 by quancute

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Llama 3.2 1B Instruct Sum 10K 2Mar 2025 A100 is an open-source language model by quancute. Features: 1b LLM, VRAM: 4.9GB, Context: 128K, Instruction-Based, LLM Explorer Score: 0.18.

Base model:finetune:meta-llama... Base model:meta-llama/llama-3....   Conversational   Endpoints compatible   Generated from trainer   Instruct   Llama   Region:us   Safetensors   Sft   Trl
Model Card on HF 🤗: https://huggingface.co/quancute/Llama-3.2-1B-Instruct_sum-10k_2Mar-2025_A100 

Llama 3.2 1B Instruct Sum 10k 2Mar 2025 A100 Benchmarks

LLME Score: 0.1806
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 Sum 10K 2Mar 2025 A100 (quancute/Llama-3.2-1B-Instruct_sum-10k_2Mar-2025_A100)
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Llama 3.2 1B Instruct Sum 10K 2Mar 2025 A100 Parameters and Internals

LLM NameLlama 3.2 1B Instruct Sum 10k 2Mar 2025 A100
Repository 🤗https://huggingface.co/quancute/Llama-3.2-1B-Instruct_sum-10k_2Mar-2025_A100 
Model NameLlama-3.2-1B-Instruct_sum-10k_2Mar-2025_A100
Base Model(s)  meta-llama/Llama-3.2-1B-Instruct   meta-llama/Llama-3.2-1B-Instruct
Model Size1b
Required VRAM4.9 GB
Updated2026-01-14
Maintainerquancute
Model Typellama
Instruction-BasedYes
Model Files  4.9 GB   0.0 GB
Model ArchitectureLlamaForCausalLM
Context Length131072
Model Max Length131072
Transformers Version4.46.2
Tokenizer ClassPreTrainedTokenizerFast
Padding Token[PAD]
Vocabulary Size128257
Torch Data Typefloat32

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Note: green Score (e.g. "73.2") means that the model is better than quancute/Llama-3.2-1B-Instruct_sum-10k_2Mar-2025_A100.

Rank the Llama 3.2 1B Instruct Sum 10K 2Mar 2025 A100 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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