Small Instruct by amphora

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Small Instruct is an open-source language model by amphora. Features: LLM, VRAM: 2.9GB, Context: 4K, License: cc-by-nc-4.0, Instruction-Based, LLM Explorer Score: 0.1.

  Deploy:azure   Endpoints compatible   Instruct   Llama   Lora   Pytorch   Region:us

Small Instruct Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Small Instruct Parameters and Internals

LLM NameSmall Instruct
Repository 🤗https://huggingface.co/amphora/small-instruct 
Required VRAM2.9 GB
Updated2026-05-08
Maintaineramphora
Model Typellama
Instruction-BasedYes
Model Files  2.9 GB
Model ArchitectureLlamaForCausalLM
Licensecc-by-nc-4.0
Context Length4096
Model Max Length4096
Transformers Version4.35.0.dev0
Tokenizer ClassGPT2TokenizerFast
Padding Token<||pad||>
Vocabulary Size50304
LoRA ModelYes
Torch Data Typebfloat16
Errorsreplace

Best Alternatives to Small Instruct

Best Alternatives
Context / RAM
Downloads
Likes
Reverse Instruct32K / 27 GB123
Etri Ones Solar4K / 42.9 GB8750
Phi 3 Orpo V8.164K / 7.6 GB270
UltraLink LM4K / 52.3 GB145
Tinyllama Python4K / 2.2 GB62
Taiwan LLaMa V1.04K / 26 GB3578
Taiwan LLaMa V0.04K / 26 GB81
Taiwan LLaMa V0.94K / 26 GB70
Wongwian Micro Instruct2K / 0.5 GB12190
Llama2 Ja Small Instruct2K / 1.7 GB81
Note: green Score (e.g. "73.2") means that the model is better than amphora/small-instruct.

Rank the Small Instruct 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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Release v20260328a