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Astral 256K 7B V2 by adowu

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  256k   Astral   Autotrain compatible   Conversational   En   Endpoints compatible   Long   Mistral   Region:us   Safetensors   Sharded   Tensorflow

Astral 256K 7B V2 Benchmarks

LLME Score: 0.19428
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Astral 256K 7B V2 Parameters and Internals

Model Type 
text generation
Use Cases 
Applications:
Content Generation, Conversational Systems, Complex Language Understanding Tasks
Supported Languages 
en (proficient)
LLM NameAstral 256K 7B V2
Repository 🤗https://huggingface.co/adowu/astral-256k-7b-v2 
Model Size7b
Required VRAM14.4 GB
Updated2024-11-21
Maintaineradowu
Model Typemistral
Model Files  9.9 GB: 1-of-2   4.5 GB: 2-of-2
Supported Languagesen
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length256000
Model Max Length256000
Transformers Version4.39.3
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32002
Torch Data Typebfloat16
Astral 256K 7B V2 (adowu/astral-256k-7b-v2)

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Note: green Score (e.g. "73.2") means that the model is better than adowu/astral-256k-7b-v2.

Rank the Astral 256K 7B V2 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241110
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