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Swallow MS 7B V0.1 by tokyotech-llm

 »  All LLMs  »  tokyotech-llm  »  Swallow MS 7B V0.1   URL Share it on

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  Arxiv:2404.17733   Autotrain compatible   En   Endpoints compatible   Ja   Mistral   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/tokyotech-llm/Swallow-MS-7b-v0.1 

Swallow MS 7B V0.1 Benchmarks

LLME Score: 0.17686
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Swallow MS 7B V0.1 (tokyotech-llm/Swallow-MS-7b-v0.1)

Swallow MS 7B V0.1 Parameters and Internals

Model Type 
text-generation
Use Cases 
Areas:
research
Limitations:
The models are still in the early stages of research and development.
Supported Languages 
Japanese (enhanced), English (supported)
Training Details 
Data Sources:
Algebraic Stack, Japanese Wikipedia, RefinedWeb, Swallow Corpus, The Pile
Methodology:
Continual pre-training from Mistral-7B-v0.1, primarily with Japanese language data.
Model Architecture:
Refer to Mistral technical report
Safety Evaluation 
Ethical Considerations:
The models have not been tuned to ensure outputs align with human intent and safety considerations.
Input Output 
Input Format:
Tokenized Japanese and English text
Accepted Modalities:
text
Output Format:
Text
Performance Tips:
Broadened vocabulary allows efficient text representation and faster inference
Release Notes 
Version:
v0.1
Date:
March 11, 2024
Notes:
Swallow-MS-7b-v0.1 initial release with Japanese pre-training enhancements.
Version:
v0.1
Date:
April 26, 2024
Notes:
Instruction tuned Swallow-MS-7b-instruct-v0.1 release.
LLM NameSwallow MS 7B V0.1
Repository 🤗https://huggingface.co/tokyotech-llm/Swallow-MS-7b-v0.1 
Model Size7b
Required VRAM14.6 GB
Updated2025-02-05
Maintainertokyotech-llm
Model Typemistral
Model Files  4.9 GB: 1-of-3   4.9 GB: 2-of-3   4.8 GB: 3-of-3
Supported Languagesen ja
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length4096
Model Max Length4096
Transformers Version4.36.2
Tokenizer ClassLlamaTokenizer
Vocabulary Size42800
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than tokyotech-llm/Swallow-MS-7b-v0.1.

Rank the Swallow MS 7B V0.1 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! 🌟

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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