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Llama 3.2 1B Instruct Touch Rugby Synth 1epochs 20241010 113940 by Trelis

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Llama 3.2 1B Instruct Touch Rugby Synth 1epochs 20241010 113940 is an open-source language model by Trelis. Features: 1b LLM, VRAM: 3GB, Context: 128K, Instruction-Based, LLM Explorer Score: 0.16.

  Arxiv:1910.09700   Conversational   Endpoints compatible   Instruct   Llama   Region:us   Safetensors   Sft   Trl
Model Card on HF 🤗: https://huggingface.co/Trelis/Llama-3.2-1B-Instruct-touch-rugby-synth-1epochs-20241010-113940 

Llama 3.2 1B Instruct Touch Rugby Synth 1epochs 20241010 113940 Benchmarks

LLME Score: 0.15916
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 Touch Rugby Synth 1epochs 20241010 113940 (Trelis/Llama-3.2-1B-Instruct-touch-rugby-synth-1epochs-20241010-113940)
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Llama 3.2 1B Instruct Touch Rugby Synth 1epochs 20241010 113940 Parameters and Internals

LLM NameLlama 3.2 1B Instruct Touch Rugby Synth 1epochs 20241010 113940
Repository 🤗https://huggingface.co/Trelis/Llama-3.2-1B-Instruct-touch-rugby-synth-1epochs-20241010-113940 
Model Size1b
Required VRAM3 GB
Updated2026-04-02
MaintainerTrelis
Model Typellama
Instruction-BasedYes
Model Files  3.0 GB
Model ArchitectureLlamaForCausalLM
Context Length131072
Model Max Length131072
Transformers Version4.45.2
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|finetune_right_pad_id|>
Vocabulary Size128256
Torch Data Typebfloat16

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Llama 3.2 1B Instruct128K / 2.5 GB54644911116
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Llama 3.2 OctoThinker INano 1B128K / 3 GB2421
...enchmaxx Llama 3.2 1B Instruct128K / 0 GB134
...p Llama 3.2 1B Instruct Datav2128K / 16.1 GB260
BunderMaxx 1010128K / 2.5 GB141
Llama 3.2 1b OrcaSun V1128K / 3 GB110
... 6 1B Instruct Abliterated LPL128K / 2.5 GB50
Note: green Score (e.g. "73.2") means that the model is better than Trelis/Llama-3.2-1B-Instruct-touch-rugby-synth-1epochs-20241010-113940.

Rank the Llama 3.2 1B Instruct Touch Rugby Synth 1epochs 20241010 113940 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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