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2B Tiny Llama Alpaca Instr by Fischerboot

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2B Tiny Llama Alpaca Instr is an open-source language model by Fischerboot. Features: 2b LLM, VRAM: 4.2GB, Context: 2K, Merged, LLM Explorer Score: 0.14.

  Merged Model   Autotrain compatible Base model:concedo/kobbletinyv... Base model:finetune:concedo/ko...   Endpoints compatible   Llama   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/Fischerboot/2b-tiny-llama-alpaca-instr 

2B Tiny Llama Alpaca Instr Benchmarks

LLME Score: 0.14243
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
2B Tiny Llama Alpaca Instr (Fischerboot/2b-tiny-llama-alpaca-instr)
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2B Tiny Llama Alpaca Instr Parameters and Internals

LLM Name2B Tiny Llama Alpaca Instr
Repository 🤗https://huggingface.co/Fischerboot/2b-tiny-llama-alpaca-instr 
Base Model(s)  concedo/KobbleTinyV2-1.1B   concedo/KobbleTinyV2-1.1B
Merged ModelYes
Model Size2b
Required VRAM4.2 GB
Updated2025-09-19
MaintainerFischerboot
Model Typellama
Model Files  1.0 GB: 1-of-5   1.0 GB: 2-of-5   1.0 GB: 3-of-5   1.0 GB: 4-of-5   0.2 GB: 5-of-5
Model ArchitectureLlamaForCausalLM
Context Length2048
Model Max Length2048
Transformers Version4.42.3
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
Vocabulary Size32000
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than Fischerboot/2b-tiny-llama-alpaca-instr.

Rank the 2B Tiny Llama Alpaca Instr 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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