Title: Yi-Coder 9B vs Yi-Coder 9B Chat: Param%C3%A8tres, Licence %E2%80%94 LLM EU
Canonical: https://llmeu.com/fr/compare/yi-coder-9b-vs-yi-coder-9b-chat/
Markdown mirror: https://llmeu.com/fr/compare/yi-coder-9b-vs-yi-coder-9b-chat.md
Machine-readable: https://llmeu.com/llms.txt (index) - https://llmeu.com/llms-full.txt (full catalogue) - https://llmeu.com/llms-catalogue.json

# Yi-Coder 9B vs Yi-Coder 9B Chat

Placez deux %C3%A0 quatre mod%C3%A8les c%C3%B4te %C3%A0 c%C3%B4te sur les champs qui d%C3%A9cident un d%C3%A9ploiement : contexte, prix, r%C3%A9gion, licence, langues, h%C3%A9bergement et ce qui est v%C3%A9rifi%C3%A9.

Lorsque deux mod%C3%A8les diff%C3%A8rent, ce tableau montre la diff%C3%A9rence et s'arr%C3%AAte l%C3%A0. LLM EU ne publie aucun badge de gagnant sans score document%C3%A9 pour cette t%C3%A2che, et une valeur manquante reste manquante au lieu de devenir un z%C3%A9ro.

## Quand l'utiliser

### [Yi-Coder 9B](/fr/models/yi-coder-9b/)

#### Points forts

- open weights are published on Hugging Face and can be downloaded without a vendor agreement
- Apache-2.0 licence, so commercial self-hosting is permitted without a separate agreement
- at 8.8B parameters it fits on a single accelerator

#### Limites

- 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 8.8B parameters, the weights fit on a single modest accelerator

#### T%C3%A2ches

[Codage](/fr/tasks/coding/)

### [Yi-Coder 9B Chat](/fr/models/yi-coder-9b-chat/)

#### Points forts

- open weights are published on Hugging Face and can be downloaded without a vendor agreement
- Apache-2.0 licence, so commercial self-hosting is permitted without a separate agreement
- at 8.8B parameters it fits on a single accelerator
- instruction-tuned checkpoint with a chat template in the repository

#### Limites

- 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 8.8B parameters, the weights fit on a single modest accelerator

#### T%C3%A2ches

[Codage](/fr/tasks/coding/), [Faible co%C3%BBt](/fr/tasks/cheap/)

**T%C3%A2ches:** [Codage](/fr/tasks/coding/)

## Comparer des mod%C3%A8les

- [Deepseek Coder 7B Instruct V1.5 vs Yi-Coder 9B](/fr/compare/deepseek-coder-7b-instruct-v1-5-vs-yi-coder-9b/)
- [DeepSeek Coder V2 Lite Instruct vs Yi-Coder 9B](/fr/compare/deepseek-coder-v2-lite-instruct-vs-yi-coder-9b/)
- [DeepSeek R1 0528 Qwen3 8B vs Yi-Coder 9B Chat](/fr/compare/deepseek-r1-0528-qwen3-8b-vs-yi-coder-9b-chat/)
- [DeepSeek R1 Distill Llama 8B vs Yi-Coder 9B Chat](/fr/compare/deepseek-r1-distill-llama-8b-vs-yi-coder-9b-chat/)
- [DeepSeek R1 Distill Qwen 7B vs Yi-Coder 9B Chat](/fr/compare/deepseek-r1-distill-qwen-7b-vs-yi-coder-9b-chat/)
- [DeepSeek V2 Lite vs Yi-Coder 9B](/fr/compare/deepseek-v2-lite-vs-yi-coder-9b/)