Autotrain compatible Base model:ce-lery/japanese-mi... Base model:finetune:ce-lery/ja... Endpoints compatible Generated from trainer Instruct Mistral Region:us Safetensors Tensorboard
Model Card on HF 🤗: https://huggingface.co/ce-lery/japanese-mistral-300m-instruction
Japanese Mistral 300M Instruction Benchmarks
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)
Japanese Mistral 300M Instruction Parameters and Internals
| Training Details |
|
| LLM Name | Japanese Mistral 300M Instruction |
| Repository 🤗 | https://huggingface.co/ce-lery/japanese-mistral-300m-instruction |
| Base Model(s) | |
| Model Size | 300m |
| Required VRAM | 1.4 GB |
| Updated | 2025-02-22 |
| Maintainer | ce-lery |
| Model Type | mistral |
| Instruction-Based | Yes |
| Model Files | |
| Model Architecture | MistralForCausalLM |
| Context Length | 4096 |
| Model Max Length | 4096 |
| Transformers Version | 4.35.2 |
| Tokenizer Class | T5Tokenizer |
| Padding Token | [PAD] |
| Vocabulary Size | 50257 |
| Torch Data Type | float32 |
Best Alternatives to Japanese Mistral 300M Instruction
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Lite Oute 1 300M Instruct | 4K / 1.2 GB | 485 | 10 |
Note: green Score (e.g. "73.2") means that the model is better than ce-lery/japanese-mistral-300m-instruction .
Rank the Japanese Mistral 300M Instruction Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227