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Basilisk 7B V0.2 by openerotica

 »  All LLMs  »  openerotica  »  Basilisk 7B V0.2   URL Share it on

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  Autotrain compatible   Endpoints compatible   Mistral   Pytorch   Region:us   Sharded

Basilisk 7B V0.2 Benchmarks

LLME Score: 0.16108
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Basilisk 7B V0.2 Parameters and Internals

LLM NameBasilisk 7B V0.2
Repository 🤗https://huggingface.co/openerotica/basilisk-7b-v0.2 
Model Size7b
Required VRAM14.4 GB
Updated2024-10-18
Maintaineropenerotica
Model Typemistral
Model Files  9.9 GB: 1-of-2   4.5 GB: 2-of-2
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.34.1
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32000
Torch Data Typefloat16
Basilisk 7B V0.2 (openerotica/basilisk-7b-v0.2)

Quantized Models of the Basilisk 7B V0.2

Model
Likes
Downloads
VRAM
Basilisk 7B V0.2 GGUF42343 GB
Basilisk 7B V0.2 GPTQ074 GB
Basilisk 7B V0.2 AWQ054 GB

Best Alternatives to Basilisk 7B V0.2

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Context / RAM
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Hebrew Mistral 7B 200K256K / 30 GB267715
Astral 256K 7B V2250K / 14.4 GB80
Astral 256K 7B250K / 14.4 GB80
Boptruth Agatha 7B128K / 14.4 GB6080
Buddhi 128K Chat 7B128K / 14.4 GB130115
Test001128K / 14.5 GB50
Note: green Score (e.g. "73.2") means that the model is better than openerotica/basilisk-7b-v0.2.

Rank the Basilisk 7B V0.2 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 v2024072803
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