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.
| LLM Name | Small Instruct |
| Repository 🤗 | https://huggingface.co/amphora/small-instruct |
| Required VRAM | 2.9 GB |
| Updated | 2026-05-08 |
| Maintainer | amphora |
| Model Type | llama |
| Instruction-Based | Yes |
| Model Files | |
| Model Architecture | LlamaForCausalLM |
| License | cc-by-nc-4.0 |
| Context Length | 4096 |
| Model Max Length | 4096 |
| Transformers Version | 4.35.0.dev0 |
| Tokenizer Class | GPT2TokenizerFast |
| Padding Token | <||pad||> |
| Vocabulary Size | 50304 |
| LoRA Model | Yes |
| Torch Data Type | bfloat16 |
| Errors | replace |
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Reverse Instruct | 32K / 27 GB | 12 | 3 |
| Etri Ones Solar | 4K / 42.9 GB | 875 | 0 |
| Phi 3 Orpo V8.16 | 4K / 7.6 GB | 27 | 0 |
| UltraLink LM | 4K / 52.3 GB | 14 | 5 |
| Tinyllama Python | 4K / 2.2 GB | 6 | 2 |
| Taiwan LLaMa V1.0 | 4K / 26 GB | 35 | 78 |
| Taiwan LLaMa V0.0 | 4K / 26 GB | 8 | 1 |
| Taiwan LLaMa V0.9 | 4K / 26 GB | 7 | 0 |
| Wongwian Micro Instruct | 2K / 0.5 GB | 1219 | 0 |
| Llama2 Ja Small Instruct | 2K / 1.7 GB | 8 | 1 |
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