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Japanese Mistral 300M Base by ce-lery

 »  All LLMs  »  ce-lery  »  Japanese Mistral 300M Base   URL Share it on

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  Autotrain compatible   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

LLME Score: 0.15265
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Japanese Mistral 300M Base (ce-lery/japanese-mistral-300m-base)

Japanese Mistral 300M Base Parameters and Internals

Model Type 
text generation
Additional Notes 
Suppression of unknown word generation by using byte fallback in SentencePiece tokenizer and conversion to huggingface Tokenizers format.
Supported Languages 
Japanese (fluent)
Training Details 
Data Sources:
wikipedia, cc100
Methodology:
Pretraining with flash attention2 and torch.compile and DeepSpeed, Fine-tuning with databricks-dolly-15k-ja
Input Output 
Input Format:
tokenized input
Accepted Modalities:
text
Output Format:
tokenized output
LLM NameJapanese Mistral 300M Base
Repository 🤗https://huggingface.co/ce-lery/japanese-mistral-300m-base 
Base Model(s)  None   /None
Model Size300m
Required VRAM2.8 GB
Updated2025-02-22
Maintainerce-lery
Model Typemistral
Model Files  1.4 GB   1.4 GB   0.0 GB
GGML QuantizationYes
GGUF QuantizationYes
Quantization Typeggml|gguf
Model ArchitectureMistralForCausalLM
Context Length4096
Model Max Length4096
Transformers Version4.35.2
Tokenizer ClassT5Tokenizer
Padding Token[PAD]
Vocabulary Size50257
Torch Data Typefloat32

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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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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
Text Generation  
Text Summarization and Feature Extraction  
Code Generation  
Multi-Language Support and Translation  

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Release v20241227
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