Japanese Mistral 300M Base is an open-source language model by ce-lery. Features: 300m LLM, VRAM: 2.8GB, Context: 4K, Quantized, LLM Explorer Score: 0.11.
Endpoints compatible F32 Generated from trainer Ggml Gguf Mistral Quantized Region:us Safetensors Tensorboard
Model Card on HF 🤗: https://huggingface.co/ce-lery/japanese-mistral-300m-base
Japanese Mistral 300M Base 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 Base Parameters and Internals
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| LLM Name | Japanese Mistral 300M Base |
| Repository 🤗 | https://huggingface.co/ce-lery/japanese-mistral-300m-base |
| Base Model(s) | |
| Model Size | 300m |
| Required VRAM | 2.8 GB |
| Updated | 2026-04-06 |
| 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 to Japanese Mistral 300M Base
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Mistral 300M Base | 8K / 0.6 GB | 1 | 1 |
| Lite Oute 1 300M Instruct | 4K / 1.2 GB | 1509 | 9 |
| Lite Oute 1 300M | 4K / 1.2 GB | 35 | 8 |
| Mistral 300M | 4K / 0 GB | 14 | 2 |
| ...anese Mistral 300M Instruction | 4K / 1.4 GB | 4 | 3 |
Note: green Score (e.g. "73.2") means that the model is better than ce-lery/japanese-mistral-300m-base .
Rank the Japanese Mistral 300M Base Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
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Release v20260328a