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| Additional Notes |
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| Training Details |
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| Input Output |
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| LLM Name | Japanese Mistral 300M Base |
| Repository ๐ค | https://huggingface.co/ce-lery/japanese-mistral-300m-base |
| Base Model(s) | |
| Model Size | 300m |
| Required VRAM | 2.8 GB |
| Updated | 2025-09-23 |
| Maintainer | ce-lery |
| Model Type | mistral |
| Model Files | |
| GGML Quantization | Yes |
| GGUF Quantization | Yes |
| Quantization Type | ggml|gguf |
| 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 |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Mistral 300M Base | 8K / 0.6 GB | 503 | 0 |
| Lite Oute 1 300M Instruct | 4K / 1.2 GB | 169 | 9 |
| Lite Oute 1 300M | 4K / 1.2 GB | 35 | 8 |
| Mistral 300M | 4K / 0 GB | 3 | 2 |
| ...anese Mistral 300M Instruction | 4K / 1.4 GB | 13 | 3 |
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