SynthIA 7B V1.5 by migtissera

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  Autotrain compatible   En   Endpoints compatible   Mistral   Pytorch   Region:us   Sharded

SynthIA 7B V1.5 Benchmarks

SynthIA 7B V1.5 (migtissera/SynthIA-7B-v1.5)

SynthIA 7B V1.5 Parameters and Internals

Model Type 
text generation
Supported Languages 
en (proficient)
Input Output 
Input Format:
Structured prompt starting with 'SYSTEM:', followed by 'USER:', then 'ASSISTANT:'.
Accepted Modalities:
text
Output Format:
Generated text strings based on the prompt.
LLM NameSynthIA 7B V1.5
Repository ๐Ÿค—https://huggingface.co/migtissera/SynthIA-7B-v1.5 
Model Size7b
Required VRAM14.4 GB
Updated2025-02-19
Maintainermigtissera
Model Typemistral
Model Files  9.9 GB: 1-of-2   4.5 GB: 2-of-2
Supported Languagesen
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.34.0.dev0
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typefloat16

Quantized Models of the SynthIA 7B V1.5

Model
Likes
Downloads
VRAM
SynthIA 7B V1.5 GGUF62403 GB
SynthIA 7B V1.5 AWQ0824 GB
SynthIA 7B V1.5 GPTQ0254 GB

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Note: green Score (e.g. "73.2") means that the model is better than migtissera/SynthIA-7B-v1.5.

Rank the SynthIA 7B V1.5 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 v20241227