---
license: apache-2.0
datasets:
- augmxnt/ultra-orca-boros-en-ja-v1
language:
- ja
- en
- zh
base_model: 01-ai/Yi-1.5-34B-Chat
---
shisa-v2 Base Model ablation

Using a [fork](https://github.com/shisa-ai/shaberi) of [Lightblue's Shaberi benchmark framework](https://github.com/lightblue-tech/japanese_llm_eval):

| Model                                  | Average | ELYZA-tasks-100 | MT-Bench | Rakuda | Tengu-Bench |
|----------------------------------------|---------|-----------------|----------|--------|-------------|
| gpt-4-turbo-2024-04-09                 | 8.75    | 8.78            | 8.74     | 9.18   | 8.31        |
| CohereForAI/c4ai-command-r-plus        | 7.69    | 7.50            | 7.43     | 9.05   | 6.79        |
| gpt-3.5-turbo-0125                     | 7.17    | 7.24            | 6.98     | 7.64   | 6.82        |
| **shisa-ai/shisa-v1-llama3-70b**       | **7.17**| **7.16**        | **7.45** | **7.98** | **6.09**  |
| karakuri-ai/karakuri-lm-70b-chat-v0.1  | 6.84    | 6.86            | 6.43     | 7.85   | 6.23        |
| lightblue/ao-karasu-72B                | 6.81    | 7.19            | 6.54     | 7.25   | 6.27        |
| **shisa-ai/shisa-v1-llama3-8b^**       | **6.29**| **6.62**        | **6.41** | **7.05**|**5.07**    |
| shisa-ai/shisa-swallowmx-13a47b-v1     | 6.17    | 6.48            | 6.07     | 7.11   | 5.03        |
| **shisa-ai/shisa-v1-llama3-8b**        | **6.10**| **6.52**        | **6.20** | **6.37**|**5.33**    |
| Rakuten/RakutenAI-7B-chat              | 5.58    | 5.92            | 4.60     | 6.58   | 5.24        |
| shisa-ai/shisa-v1-gemma-8b             | 5.64    | 6.50            | 5.42     | 5.10   | 5.55        |
| augmxnt/shisa-gamma-7b-v1              | 5.56    | 5.84            | 4.00     | 6.73   | 5.68        |
| lightblue/qarasu-14B-chat-plus-unleashed | 5.20  | 5.58            | 4.74     | 5.46   | 5.01        |
| cyberagent/calm2-7b-chat               | 4.76    | 4.90            | 3.58     | 5.75   | 4.81        |
| mistralai/Mistral-7B-Instruct-v0.2     | 4.69    | 5.78            | 4.65     | 3.80   | 4.53        |
| **shisa-ai/shisa-v1-yi1.5-9b**         | **4.63**| **5.98**        | **4.28** | **3.26**|**5.00**    |