metadata
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 of Lightblue's Shaberi benchmark framework:
| 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 |