Title: Phi 2 vs Phi 3.5 Mini Instruct: Parametri, Li%C4%8Benzja %E2%80%94 LLM EU
Canonical: https://llmeu.com/mt/compare/phi-2-vs-phi-3-5-mini-instruct/
Markdown mirror: https://llmeu.com/mt/compare/phi-2-vs-phi-3-5-mini-instruct.md
Machine-readable: https://llmeu.com/llms.txt (index) - https://llmeu.com/llms-full.txt (full catalogue) - https://llmeu.com/llms-catalogue.json

# Phi 2 vs Phi 3.5 Mini Instruct

Qieg%C4%A7ed %C5%BCew%C4%A1 mudelli sa erbg%C4%A7a ma' xulxin fuq l-oqsma li jidde%C4%8Biedu deployment: kuntest, prezz, re%C4%A1jun, li%C4%8Benzja, lingwi, hosting, u x'hu verifikat.

Fejn %C5%BCew%C4%A1 mudelli jvarjaw, din it-tabella turi d-differenza u tieqaf. LLM EU ma tippubblikax badge ta' rebbie%C4%A7 ming%C4%A7ajr punte%C4%A1%C4%A1 dokumentat g%C4%A7al dik il-kompitu, u figura nieqsa tibqa' nieqsa minflok ma ssir %C5%BCero.

## Meta tu%C5%BCah

### [Phi 2](/mt/models/phi-2/)

#### Sa%C4%A7%C4%A7iet

- open weights are published on Hugging Face and can be downloaded without a vendor agreement
- mit licence, so commercial self-hosting is permitted without a separate agreement
- at 2.8B parameters it fits on a single accelerator
- the model page lists en

#### Limiti

- catalogue only %E2%80%94 LLM EU does not run this model, and nothing on this card implies an LLM EU endpoint
- no evaluation has been run by LLM EU
- the published configuration records no context window, so the card carries none
- at 2.8B parameters, the weights fit on a single modest accelerator

#### Kompiti

[Ra%C4%A1unament](/mt/tasks/reasoning/), [Spi%C5%BCa baxxa](/mt/tasks/cheap/)

### [Phi 3.5 Mini Instruct](/mt/models/phi-3-5-mini-instruct/)

#### Sa%C4%A7%C4%A7iet

- open weights are published on Hugging Face and can be downloaded without a vendor agreement
- mit licence, so commercial self-hosting is permitted without a separate agreement
- at 3.8B parameters it fits on a single accelerator
- instruction-tuned checkpoint with a chat template in the repository

#### Limiti

- catalogue only %E2%80%94 LLM EU does not run this model, and nothing on this card implies an LLM EU endpoint
- no evaluation has been run by LLM EU
- the published configuration records no context window, so the card carries none
- at 3.8B parameters, the weights fit on a single modest accelerator

#### Kompiti

[Ra%C4%A1unament](/mt/tasks/reasoning/), [Sommarizzazzjoni](/mt/tasks/summarization/), [Appo%C4%A1%C4%A1 multilingwi](/mt/tasks/multilingual-support/)

**Kompiti:** [Ra%C4%A1unament](/mt/tasks/reasoning/)

## Qabbel mudelli

- [Blip2 Opt 2.7B vs Phi 2](/mt/compare/blip2-opt-2-7b-vs-phi-2/)
- [Bloom 3B vs Phi 3.5 Mini Instruct](/mt/compare/bloom-3b-vs-phi-3-5-mini-instruct/)
- [NVIDIA Cosmos Reason2 2B vs Phi 2](/mt/compare/cosmos-reason2-2b-vs-phi-2/)
- [DeepSeek OCR vs Phi 2](/mt/compare/deepseek-ocr-vs-phi-2/)
- [DeepSeek R1 Distill Qwen 1.5B vs Phi 2](/mt/compare/deepseek-r1-distill-qwen-1-5b-vs-phi-2/)
- [DeepSeek R1 Distill Qwen 7B vs Phi 3.5 Mini Instruct](/mt/compare/deepseek-r1-distill-qwen-7b-vs-phi-3-5-mini-instruct/)