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Astral 7B Instruct V0.01 by jin05102518

 »  All LLMs  »  jin05102518  »  Astral 7B Instruct V0.01   URL Share it on

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  Autotrain compatible   Conversational   Dataset:beomi/koalpaca-v1.1a   Endpoints compatible   Instruct   Ko   Mistral   Pytorch   Region:us
Model Card on HF 🤗: https://huggingface.co/jin05102518/Astral-7B-Instruct-v0.01 

Astral 7B Instruct V0.01 Benchmarks

LLME Score: 0.11319
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Astral 7B Instruct V0.01 (jin05102518/Astral-7B-Instruct-v0.01)
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Astral 7B Instruct V0.01 Parameters and Internals

Model Type 
text generation
Additional Notes 
This model is experimental, created temporarily for technical testing purposes.
Supported Languages 
Korean (Full proficiency)
Training Details 
Data Sources:
beomi/KoAlpaca-v1.1a
Methodology:
Full-Finetune on KoAlpaca-v1.1a dataset
Input Output 
Input Format:
Prompt with <|system|>, <|user|>, <|assistant|> markers
Accepted Modalities:
text
Output Format:
Generated text response
LLM NameAstral 7B Instruct V0.01
Repository 🤗https://huggingface.co/jin05102518/Astral-7B-Instruct-v0.01 
Model Size7b
Required VRAM14.5 GB
Updated2025-09-23
Maintainerjin05102518
Model Typemistral
Instruction-BasedYes
Model Files  14.5 GB
Supported Languagesko
Model ArchitectureMistralForCausalLM
Licensecc-by-nc-4.0
Context Length32768
Model Max Length32768
Transformers Version4.35.0.dev0
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32000
Torch Data Typebfloat16

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Mistral 7B Instruct V0.232K / 14.4 GB33160952630
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Seed X Instruct 7B32K / 15 GB1510123
Mixtral AI CyberCoder32K / 14.3 GB00
Note: green Score (e.g. "73.2") means that the model is better than jin05102518/Astral-7B-Instruct-v0.01.

Rank the Astral 7B Instruct V0.01 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 v20241124
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