Base model:finetune:rakuten/ra... Base model:rakuten/rakutenai-2... En Instruct Ja Mistral Region:us Safetensors
Model Card on HF 🤗: https://huggingface.co/Rakuten/RakutenAI-2.0-mini-instruct
RakutenAI 2.0 Mini Instruct Benchmarks
MMLU Pro: 1.31
GPQA: 2.24
MUSR: 0.78
BBH: 2.43
IFEval: 67.94 vs 88 (so35)-22.8%
MATH Lvl 5: 5.21
LLME Score: 0.32629
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
What is the LLM Explorer Rank (Score)
RakutenAI 2.0 Mini Instruct Parameters and Internals
| LLM Name | RakutenAI 2.0 Mini Instruct |
| Repository 🤗 | https://huggingface.co/Rakuten/RakutenAI-2.0-mini-instruct |
| Base Model(s) | |
| Model Size | 1.5b |
| Required VRAM | 3.1 GB |
| Updated | 2025-06-09 |
| Maintainer | Rakuten |
| Model Type | mistral |
| Instruction-Based | Yes |
| Model Files | |
| Supported Languages | en ja |
| Model Architecture | MistralForCausalLM |
| License | apache-2.0 |
| Context Length | 131072 |
| Model Max Length | 131072 |
| Transformers Version | 4.39.3 |
| Tokenizer Class | LlamaTokenizer |
| Padding Token | </s> |
| Vocabulary Size | 48000 |
| Torch Data Type | bfloat16 |
Best Alternatives to RakutenAI 2.0 Mini Instruct
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| ... 1.5B Instruct V0.2 Cosmo 100K | 32K / 3.1 GB | 17 | 1 |
Rank the RakutenAI 2.0 Mini Instruct Capabilities
🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟
What open-source LLMs or SLMs are you in search of? 48046 in total.
Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124